DATASOURCE,GRANT_CAT,GRANT SUPER_CAT,FUNDER,FUNDER_ROR,FUNDER_type,RECIPIENT,RECIPIENT_ROR,RECIPIENT_LOCATION,OI,PI_NAME,START_DATE,END_DATE,GRANT_YEAR,GRANT_DURATION,N_YEAR,AMOUNT,CURRENCY,AMOUNT_USD,SOURCE,SOURCE_URL,GRANT_ID,TITLE,DESCRIPTION,FUNDER_PROGRAM,IP_SOLNCAT_1,IP_SOLNCAT_2,IP_SOLNCAT_3,IP_CONCAT
oic_scrape,UNK,Unknown,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,University of Saskatchewan,,Canada,Érudit,"Engaged Scholar Journal: Community-Engaged Research, Teaching, and Learning",,,2021,,2021,29150,CAD,"22,897.11",http://www.outil.ost.uqam.ca/CRSH/RechProj.aspx,http://www.outil.ost.uqam.ca/CRSH/Detail.aspx?Cle=208300&Langue=2,sshrc_ca:grants::208300,Engaged Scholar Journal / Journal de l'érudit engagé,engaged scholarship; publicly engaged scholarship; community engaged scholarship; community-based research; teaching and learning; Canadian; multi-disciplinary; interdisciplinary; transdisciplinary; peer-reviewed; open access,Aid to Scholarly Journals > Interdisciplinary Studies > Not Subject to Research Classification,Publishing system,Repository software,Discovery system,"Publishing system, Repository software, Discovery system"
oic_scrape,ADJ,Indirect,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,Grantee,,Canada,Érudit,"Shu, Fei",,,2019,,2019,45000,CAD,"33,003.18",http://www.outil.ost.uqam.ca/CRSH/RechProj.aspx,http://www.outil.ost.uqam.ca/CRSH/Detail.aspx?Cle=178804&Langue=2,sshrc_ca:grants::178804,A Comparison between Web of Science and Érudit in terms of Quebec Authors and Their Performance in Social Science and Humanities,scholarly communication; bibliometrics; research evaluation: social sciences and humanities,Postdoctoral Fellowships > Library and Information Science > Post-Secondary Education and Research,Publishing system,Repository software,Discovery system,"Publishing system, Repository software, Discovery system"
oic_scrape,STRAT,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,Modern Language Association of America,,United States,Humanities Commons,,2017-06-01,2018-09-01,2017,15 months,2017,310000,USD,"310,000.00",mellon.org,https://https://www.mellon.org/grant-details/11846,mellon:grants::11846,,"to support the development and implementation of an organizational, technical, and business plan for Humanities Commons",Public Knowledge,Informal scholarly communications,Repository service,Research profiling system,"Informal scholarly communications, Repository service, Research profiling system"
oic_scrape,OTHER,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,University of Washington,,United States,Humanities Commons,Kathleen Woodward [Project Director],2007-12-01,2013-07-31,2007,68,2007,0,USD,,https://apps.neh.gov/open/data/,,neh::CH-50600-09,,"Digital Humanities Commons > With a $625,000 Challenge Grant from the National Endowment for the Humanities and a successful match of $1,875,000 to establish an endowment of $2,500,000, the Simpson Center for the Humanities at the University of Washington will create the Digital Humanities Commons. The goal is to seed and strengthen work in the digital humanities, with three objectives: the animation of knowledge; the public circulation of scholarship; and the historical, social, and cross-cultural understanding of digital culture. Each year the endowment will support: summer faculty fellowships emphasizing collaborative projects; summer digital dissertation fellowships; modest funds for digital tools; three one-credit graduate courses on digital scholarship; a lecture by a seminal visiting scholar; and funds for an hourly research assistant. We will fold our work from the Digital Humanities Commons into our programs in the public humanities, a prime mission of the Simpson Center.",Challenge Grants > Challenge Programs,Informal scholarly communications,Repository service,Research profiling system,"Informal scholarly communications, Repository service, Research profiling system"
oic_scrape,OTHER,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Michigan State University,,United States,Humanities Commons,Kathleen Fitzpatrick [Project Director],2020-05-01,2027-04-30,2020,84,2020,0,USD,,https://apps.neh.gov/open/data/,,neh::CHA-268776-20,,"Humanities Commons > Humanities Commons, launched in December 2016, is a trusted, not-for-profit network on which more than 17,000 humanities scholars post professional profiles, discuss their common interests, develop new publications, and share their work with the world. Humanities Commons is implementing a sustainability plan that includes transitioning the network’s hosting and fiscal sponsorship to Michigan State University, offering new institutional memberships to colleges and universities, and expanding its organizational member base. Our application for a Challenge Grant seeks to support that transition by adding (1) a lead developer and (2) a membership manager to the team at MSU, allowing both the platform and its community of support to scale in ways that facilitate the network’s long-term sustainability.",Infrastructure and Capacity Building Challenge Grants > Challenge Programs,Informal scholarly communications,Repository service,Research profiling system,"Informal scholarly communications, Repository service, Research profiling system"
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"Modern Language Association of America, Inc.",,United States,Humanities Commons,Kathleen Fitzpatrick [Project Director]; Rebecca Kennison [Co Project Director]; Barbara Rockenbach [Co Project Director],2014-05-01,2015-05-31,2014,13,2014,60000,USD,"60,000.00",https://apps.neh.gov/open/data/,,neh::HD-51863-14,,"Humanities CORE > The Modern Language Association (MLA) and the Columbia University Libraries/Information Services' Center for Digital Research and Scholarship (CDRS) are currently working together on the development of Humanities Commons, a platform for scholarly societies and related groups across the humanities, enabling members of those organizations to communicate, collaborate, and share their work with one another. Humanities Commons will link a federated group of social networking systems, modeled on MLA Commons, with a library-quality repository, modeled on Columbia's Academic Commons. We propose in this stage of the project to develop a working prototype for the user interface connecting the Commons with the repository system, which we are calling Humanities Commons Open Repository Exchange, or Humanities CORE. This interface will allow Commons members to upload, share, discover, retrieve, and archive digital work and other objects within the same system in which they are already collaborating with one another.",Digital Humanities Start-Up Grants > Digital Humanities,Informal scholarly communications,Repository service,Research profiling system,"Informal scholarly communications, Repository service, Research profiling system"
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"Modern Language Association of America, Inc.",,United States,Humanities Commons,Barbara Rockenbach [Co Project Director]; Kathleen Fitzpatrick [Project Director],2016-09-01,2020-08-31,2016,48,2016,300000,USD,"300,000.00",https://apps.neh.gov/open/data/,,neh::HK-250665-16,,"Humanities CORE > The Modern Language Association and the Columbia University Libraries will augment the work of an NEH Digital Humanities Start-Up Grant, in which we built a prototype social repository, Humanities CORE, and connected it to MLA Commons, a social networking platform that enables humanists to communicate, collaborate, and share their digital scholarship. While the Start-Up Grant focused on the proof-of-concept and infrastructure framework, this phase will concentrate on facilitating increased interdisciplinary work, collaboration, and data-sharing for humanities scholars—and on enhancing and promoting the professional benefits of making such work available to a broader public. The assessment of user interaction, workflows, and platform impact will be vital to the early stages of this production implementation of CORE in a federated Humanities Commons network. The project will also address research questions regarding the benefits of inter-organizational collaboration implied by CORE.",Digital Humanities Implementation Grants > Digital Humanities,Informal scholarly communications,Repository service,Research profiling system,"Informal scholarly communications, Repository service, Research profiling system"
oic_scrape,COMM,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Michigan State University,,United States,Humanities Commons,Kathleen Fitzpatrick,2023-01-01,2025-12-31,,,2023,1249282,USD,"1,249,282.00",nsf,,2226271,Disciplinary Improvements: THE DBER+ COMMONS - A FAIR/CARE/OS RCN,"The Discipline-Based Education Research plus (DBER+) Commons project will extend the popular Humanities Commons (HCommons) system to build consensus around and capacity for open science, the FAIR (Findable, Accessible, Interoperable, Reusable), and CARE (Collective Benefit, Authority to control, Responsibility, Ethics) practices, principles, and guidelines for use in undergraduate, postbaccalaureate, graduate, and postdoctoral science education research activities. This research coordination network (RCN) will work to advance several areas of science education research outputs including quality control of metadata for research products, stewardship practices, interoperability, reproducibility, sustainability, equity, and democratization of access to research data. The project will engage the broader science education research community in activities to develop shared norms, expectations, and potential.<br/><br/>STEM (science, technology, engineering, mathematics) education research takes place in a variety of extended areas such as DBER, SOTL (scholarship of teaching and learning), educational psychology, learning science, and cognitive science. This project adopts the nomenclature DBER+ to refer to STEM education research in all of these settings and at a variety of tertiary (undergraduate, postbac, graduate, postdoc) educational levels. This research coordination network will foster cross, inter, and transdisciplinary innovation by engaging perspectives from many DBER+ perspectives and sharing those perspectives out to the extended community. A collaboration board will engage participants in the DBER+ Commons to increase the impact of DBER+ research in university classrooms.<br/><br/>This award by the Office of Advanced Cyberinfrastructure (OAC) is jointly supported by the Directorate for Social, Behavioral and Economic Sciences and the Directorate for Education and Human Resources (EHR) Division of Undergraduate Education (DUE) Improving Undergraduate STEM Education (IUSE) program. The IUSE program supports research and development projects to improve the effectiveness of STEM education for all students.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Informal scholarly communications,Repository service,Research profiling system,"Informal scholarly communications, Repository service, Research profiling system"
ioi2022,ADJ,Indirect,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,WSU,,United States,Mukurtu,,,,2017,36,2017,"555,000.00",USD,"555,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Mukurtu Shared: Platform for Archiving and Curation of Native American Collections,to support community-based archives and collection building,,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
ioi2022,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,WSU,,United States,Mukurtu,,,,2015,17,2015,"69,500.00",USD,"69,500.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Mukurtu: Platform for Archiving and Curation of Native American Collections,to support planning for the enhancement of a software platform for the archiving and curation of Native American collections,,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,OPS,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,Washington State University,,United States,Mukurtu,,2020-09-18,2022-09-18,2020,24 months,2020,700000,USD,"700,000.00",mellon.org,https://https://www.mellon.org/grant-details/20447024,mellon:grants::20447024,,"to support the sustainability of the Mukurtu Shared platform for collaborative curation of Native American collections in libraries, archives, and museums",Public Knowledge,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_C,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Amherst College,,United States,Mukurtu,,2014-10-01,2015-09-30,,,2014,49765,USD,"49,765.00",imls.gov,https://www.imls.gov/grants/awarded/lg-72-15-0114-15,imls:log_number::LG-72-15-0114-15,,"Amherst College, in conjunction with the Association of Tribal Archives, Libraries, and Museums, the Mukurtu project, and the Digital Public Library of America, will work together to develop a framework for sharing, exploring, and visualizing Native-authored library and archival collections. The project will bring together Native Studies scholars; Native librarians; tribal historians; representatives from libraries with large Native-authored collections; metadata, digital humanities, and user interface specialists; and technologists to expand and improve culturally appropriate access to Native digital collections and to create collaborative digital humanities scholarship that accurately represents Native American intellectual networks.",National Leadership Grants - Libraries,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,EV_TR,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,OCLC,,United States,Mukurtu,,2019-10-01,2020-09-30,,,2019,249743,USD,"249,743.00",imls.gov,https://www.imls.gov/grants/awarded/re-246364-ols-20,imls:log_number::RE-246364-OLS-20,,"OCLC, in partnership with Washington State University, seeks to create a set of self-paced courses and accompanying facilitation guides that build upon the previously IMLS-funded Tribal Digital Stewardship Training program and the digital stewardship curriculum developed by WSU's Center for Digital Scholarship and Curation. The resulting 13 hours of continuing education courses will be freely and broadly accessible to tribal archive, library, and museum (TALM) staff and small public library staff, through WebJunction and the Sustainable Heritage Network. The ""Tribal Stewardship Cohort Program: Digital Heritage Management, Archiving, and Mukurtu CMS Training"" has focused on the unique needs of TALMs, using Mukurtu CMS as a core component of culturally sustainable digital heritage management.",Laura Bush 21st Century Librarian Program,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Washington State University (Washington State University Vancouver Library),,United States,Mukurtu,,2013-10-01,2014-09-30,,,2013,190850,USD,"190,850.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-11-0329-11-1,imls:log_number::LG-05-11-0329-11 (a),,"Open-source and commercial tools for building and operating digital libraries work well for a wide range of organizations but are less well suited to the needs of tribal libraries, archives, and museums, owing to cultural protocols for sharing information, diverse intellectual property systems among tribes, and the fractured or distributed nature of collections about indigenous groups. To address these needs, researchers at Washington State University will partner with Smallbean, Inc.; the University of California-Berkeley; the Association of Tribal Archives, Libraries, and Museums; CivicActions, Inc.; the National Anthropological Archives; and the National Museum of the American Indian to deploy, evaluate, and refine a software tool that accommodates tribal organizations’ needs. The tool, named Mukurtu, will be made freely available as open-source software, complete with full documentation and a toolkit for tribal organizations wishing to construct and operate digital libraries.",National Leadership Grants - Libraries,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Washington State University (Washington State University Vancouver Library),,United States,Mukurtu,,2010-10-01,2011-09-30,,,2010,484772,USD,"484,772.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-11-0329-11,imls:log_number::LG-05-11-0329-11,,"Open-source and commercial tools for building and operating digital libraries work well for a wide range of organizations but are less well suited to the needs of tribal libraries, archives, and museums, owing to cultural protocols for sharing information, diverse intellectual property systems among tribes, and the fractured or distributed nature of collections about indigenous groups. To address these needs, researchers at Washington State University will partner with Smallbean, Inc.; the University of California-Berkeley; the Association of Tribal Archives, Libraries, and Museums; CivicActions, Inc.; the National Anthropological Archives; and the National Museum of the American Indian to deploy, evaluate, and refine a software tool that accommodates tribal organizations’ needs. The tool, named Mukurtu, will be made freely available as open-source software, complete with full documentation and a toolkit for tribal organizations wishing to construct and operate digital libraries.",National Leadership Grants - Libraries,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"Aleutian Pribilof Islands Association, Inc.",,United States,Mukurtu,,2017-10-01,2018-09-30,,,2017,90000,USD,"90,000.00",imls.gov,https://www.imls.gov/grants/awarded/ng-01-18-0083-18,imls:log_number::NG-01-18-0083-18,,"The Aleut (Unangax) Heritage Library and Archive will collaborate with constituent communities to build culturally relevant digital heritage collections using library materials that will be created with input from and co-managed by tribal communities using the Mukurtu CMS mobile, open-source platform.",Native American Library Services: Basic Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,EV_TR,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Amistad Research Center,,United States,Mukurtu,,2015-10-01,2016-09-30,,,2015,100000,USD,"100,000.00",imls.gov,https://www.imls.gov/grants/awarded/lg-73-16-0003-16,imls:log_number::LG-73-16-0003-16,,"The Amistad Research Center, in collaboration with the Shorefront Legacy Center, the South Asian American Digital Archive, Mukurtu, and the Inland Empire Memories Project of the University of California-Riverside, will use a National Forum grant to host a series of meetings that will focus on integrating community archives in the National Digital Platform. The four meetings will convene a diverse group of community archives curators and practitioners, community members, scholars, and digital collections leaders, to discuss broader inclusion of these materials in national digital collections. Outcomes of the project will include a summary white paper providing recommendations for increased representation of marginalized communities and people in our digital cultural heritage.",National Leadership Grants - Libraries,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,OTHER,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Washington State University,,United States,Mukurtu,,2021-10-01,2022-09-30,,,2021,799793,USD,"799,793.00",imls.gov,https://www.imls.gov/grants/awarded/lg-252507-ols-22,imls:log_number::LG-252507-OLS-22,,"The Center for Digital Scholarship and Curation at Washington State University (WSU) will develop a system sustainability model and expand the features of the Mukurtu platform to best meet the long-term needs of indigenous communities. The project will expand support and training services; strengthen the platform's technical stability, financial security, and longevity; strengthen the community network; and provide new functionality that supports the needs expressed by Tribal nations. The technical capabilities of Mukurtu along with the training in digital stewardship, provides a pathway for digital return, repatriation, and indigenous sovereignty. An advisory board comprised of Native American nations, non-Native repositories and technical specialists from the field will provide input on technical development and offer specific input on community engagement.",National Leadership Grants - Libraries,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Chilkat Indian Village,,United States,Mukurtu,,2020-10-01,2021-09-30,,,2020,149969,USD,"149,969.00",imls.gov,https://www.imls.gov/grants/awarded/nae-250427-ols-21,imls:log_number::NAE-250427-OLS-21,,"The Chilkat Indian Village of Klukwan Community and School Library will gather and digitize unique physical materials related to Chilkat Tlingit history, traditions, and culture to preserve these collections and increase access to heritage resources through online digital archives. The project will use the Mukurtu content management system to provide broad access and further staff development in establishing and maintaining digital archives and responding to the need to share and preserve tribal knowledge, as identified in a Chilkat Indian Village community strategic planning session. Tribal members, Klukwan and area residents, online patrons, researchers, project team members, and future generations will benefit from accessing this rich tribal cultural and historical information. ",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADJ,Indirect,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Crow Tribe of Indians,,United States,Mukurtu,,2017-10-01,2018-09-30,,,2017,150000,USD,"150,000.00",imls.gov,https://www.imls.gov/grants/awarded/ng-03-18-0177-18,imls:log_number::NG-03-18-0177-18,,"The Crow Nation, in collaboration with Little Big Horn College (LBHC,) will create metadata and digitize 178 deteriorating and outdated audiovisual objects and place them online via the Content Management System, Mukurtu. The two-year project addresses community needs centered around the preservation and revitalization of Crow culture, including maintaining important cultural traits and historical events that might otherwise be lost without digital preservation. The intended outcomes for audience members include greater access to cultural resources and a greater appreciation of Crow across the reservation and beyond as measured through increased usage of digitized materials via Mukurtu and virtual displays. Importantly, the project will provide outreach and access to materials in a variety of formats such as external hard drives and DVDs for outlying reservation districts such like Pryor and Wyola, which lack or have inadequate Internet connection that hinders accessing digitized audiovisual materials.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Crow Tribe of Indians,,United States,Mukurtu,,2014-10-01,2015-09-30,,,2014,149283,USD,"149,283.00",imls.gov,https://www.imls.gov/grants/awarded/ng-03-15-0002-15,imls:log_number::NG-03-15-0002-15,,"The Crow tribe's Little Big Horn College oral history digitization project will focus on preserving items in the audiovisual collection that had previously been stored in outdated formats and are beginning to deteriorate. The project will digitize the materials, add item level metadata, and increased access via the Mukurtu content management system. The collections contains invaluable cultural, historical, and linguistic content that, if lost, would be irreplaceable. The project also includes outreach activities with the Crow community and other interested parties to share the process and final products of the project.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADJ,Indirect,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Federated Indians of Graton Rancheria,,United States,Mukurtu,,2020-10-01,2021-09-30,,,2020,10000,USD,"10,000.00",imls.gov,https://www.imls.gov/grants/awarded/nab-250346-ols-21,imls:log_number::NAB-250346-OLS-21,,"The Federated Indians of Graton Rancheria (FIGR) library will provide the community with increased virtual access to its collection by digitizing archival materials. They plan to purchase specialized digitization equipment and hire a professional video editor to enhance and archive tribal videos, preserving them for future generations. Library staff will receive professional training and continuing education in digital media curation and interpretation to better provide the community with access to the digitized materials. They also will digitize and present materials on FIGR’s Mukurtu Digital Cultural Database, which contains more than 1,000 digital heritage items and more than 3,200 Coast Miwok and Southern Pomo words in the online dictionary.",Native American Library Services: Basic Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Huna Totem Corporation,,United States,Mukurtu,,2015-10-01,2016-09-30,,,2015,149375,USD,"149,375.00",imls.gov,https://www.imls.gov/grants/awarded/ng-03-16-0251-16,imls:log_number::NG-03-16-0251-16,,"The Huna Totem Corporation (HTC) the Alaska Native Claims Settlement Act (ANCSA) village corporation for the village of Hoonah, in partnership with the Huna Heritage Foundation (HHF), will develop the Lifting Faces of Our Ancestors digitization project, which has the goals of preserving, perpetuating, and greatly increasing accessibility and use of the cultural and historical photographs and images held in the Huna Heritage Foundation (HHF) Library and Archives. Project activities include: the transfer of 600 photographs held in the library and archives to digital format; the creation of a portal using the Mukurtu Content Management System (CMS) with clan categories for the Huna tribal members; the promotion of the new Mukurtu CMS portal; and an evaluation of the project. The Lifting Faces of Our Ancestors project's primary audience are HTC shareholders, but the work will also serve as a resource for educational and language revitalization efforts in the community and Hoonah School District as well as scholars throughout the world.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Keweenaw Bay Indian Community,,United States,Mukurtu,,2021-10-01,2022-09-30,,,2021,150000,USD,"150,000.00",imls.gov,https://www.imls.gov/grants/awarded/nae-252423-ols-22,imls:log_number::NAE-252423-OLS-22,,"The Keweenaw Bay Indian Community will implement programming focused on revitalizing and preserving storytelling practices. Project activities will include recording interviews with elders, collaborating with community storytellers to lead a youth story circle program, hosting Ojibwe author talks and family nights, and purchasing culturally relevant books. The project team will add recordings to the library collection and make them available via the Mukurtu content management system. The project will benefit more than 4,000 tribal members residing on the L’Anse Indian Reservation.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADJ,Indirect,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Makah Indian Tribe,,United States,Mukurtu,,2017-10-01,2018-09-30,,,2017,149330,USD,"149,330.00",imls.gov,https://www.imls.gov/grants/awarded/ng-03-18-0169-18,imls:log_number::NG-03-18-0169-18,,"The Makah Cultural and Research center's Sharing the Wealth project will improve access to the library/archives audio collections and enhance information service by returning digital assets to Makah Tribal Members through the content management system Mukurtu. Improved access through at least eight asynchronous digital learning opportunities, the creation and distribution of workshop and lecture teaching tools, and the reformatting of at least 60 audio recordings will provide educational information and foster development of knowledge and interest about Makah culture, heritage, and language while accommodating busy schedules. The intended audience for the project activities will be the Makah Tribe, Neah Bay community, MCRC Board approved researchers, the national and international public, all genders, and all ages.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Makah Indian Tribe,,United States,Mukurtu,,2015-10-01,2016-09-30,,,2015,149973,USD,"149,973.00",imls.gov,https://www.imls.gov/grants/awarded/ng-03-16-0018-16,imls:log_number::NG-03-16-0018-16,,"The Makah tribe's Makah Cultural and Research center's Makah Guardian Project will promote stewardship of library collections, provide policy direction, preserve and protect archaeological, linguistic and cultural resources of the Makah Tribe, enhance engagement and cultural opportunities, and provide education about Makah culture, heritage and language of the Makah Tribe. The Guardian Project responds to a community mapping exercise that revealed underutilized community assets and addresses barriers to the audio collections that limit sharing of information and resources to intended audiences. Project activities include: expanding and improving access to audio collections; finalizing digitization and digital policies and procedures; and creating digital recordings of respected Makah tribal leaders to document Makah tribal lore, tradition and knowledge. Audio recordings will be made available through CDs and the Mukurtu Content Management System (CMS).",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Pawnee Nation of Oklahoma,,United States,Mukurtu,,2020-10-01,2021-09-30,,,2020,149543,USD,"149,543.00",imls.gov,https://www.imls.gov/grants/awarded/nae-250451-ols-21,imls:log_number::NAE-250451-OLS-21,,"The Pawnee Nation will establish a digital and physical archive to preserve the rich history and culture of the Pawnee people. In consultation with Pawnee scholars, the community, and other professionals, the project team will locate Pawnee historical documents, acquire access to the materials, and make digital copies available through the Mukurtu content management system. They will engage with federal repositories as well as state historical societies, libraries, and universities in states where the Pawnees have had a presence, including Kansas, Oklahoma, and Nebraska. The project also will feature community archiving days to gather family archives of historic importance and engage the community in identifying people and places in photographs. The project team will document its steps and make them available to other Native Nations as a toolkit.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Catawba Indian Nation,,United States,Mukurtu,,2017-10-01,2018-09-30,,,2017,10000,USD,"10,000.00",imls.gov,https://www.imls.gov/grants/awarded/ng-01-18-0073-18,imls:log_number::NG-01-18-0073-18,,"The primary focus of the Catawba Indian Nation Archives and Libraries Basic grant is the continuation of digitizationefforts to preserve and share documents, photographs, and other essential collections. The digitized collections will then be shared on the archival Mukurtu website to be accessed by not only tribal members, but also researchers, teachers, and site users all around the world. Library staff will also focus on bringing in more collections from the community, including personal collections, tribal entity collections, and other community collections. Another focus of FY 2018 will be increasing community engagement with the archives, including sharing the importance of the work of the archives and what we have to offer the tribal nation and communities as a whole.",Native American Library Services: Basic Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Makah Indian Tribe,,United States,Mukurtu,,2016-10-01,2017-09-30,,,2016,44111,USD,"44,111.00",imls.gov,https://www.imls.gov/grants/awarded/mn-00-17-0020-17,imls:log_number::MN-00-17-0020-17,,"The Tribal Memories Project will enhance and increase knowledge about Makah culture and history by preserving at least 400 treasured community photographs and digitally restoring at least 200 of them. This project will promote collection stewardship and increase educational opportunities for museum visitors and community members through a photo exhibit and quarterly PowerPoint presentations featuring the digitized images. Programming will provide a forum for the community to engage and become active participants in learning and sharing traditional knowledge with others. Approved images and metadata will be uploaded on the web-based program titled, Mukurtu, to increase access to the image collections.",Native American/Native Hawaiian Museum Services,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Turtle Mountain Band of Chippewa Indians,,United States,Mukurtu,,2016-10-01,2017-09-30,,,2016,126956,USD,"126,956.00",imls.gov,https://www.imls.gov/grants/awarded/ng-03-17-0243-17,imls:log_number::NG-03-17-0243-17,,"The Turtle Mountain Band of Chippewa Indians, in partnership with Turtle Mountain Community College, a tribal college, will digitize and migrate audiovisual holdings in the library to a stable format; create item level metadata in conjunction with Machine-readable Cataloging (MARC) records and finding aids; establish and implement a safe, dependable three-tiered digital back-up and preservation plan; and upload culturally appropriate material online using the Mukurtu Content Management System.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,EV_TR,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Karuk Tribe,,United States,Mukurtu,,2014-10-01,2015-09-30,,,2014,50000,USD,"50,000.00",imls.gov,https://www.imls.gov/grants/awarded/mn-00-15-0005-15,imls:log_number::MN-00-15-0005-15,,"This grant supports five training sessions conducted by the Center for Digital Archaeology, affiliated with the University of California, Berkeley, on best practices related to digitization and working with digital materials. Karuk tribal museum staff from two tribal centers (Happy Camp and Orleans, CA) will participate in the training, as well as tribal youth and community members. Following the training sessions, Karuk museum staff and community members will digitize at least 250 objects and upload the data to the Mukurtu digital platform in order to make this information accessible to the over 7,500 tribal members and descendants, as well as the global community. A secondary goal of the project is to foster intergenerational relationships through mentorships between youth and elders while digitizing and documenting stories, photographs and other cultural items. Two community meetings will be held to share information about these activities.",Native American/Native Hawaiian Museum Services,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Turtle Mountain Band of Chippewa Indians,,United States,Mukurtu,,2020-10-01,2021-09-30,,,2020,124615,USD,"124,615.00",imls.gov,https://www.imls.gov/grants/awarded/nae-250442-ols-21,imls:log_number::NAE-250442-OLS-21,,"Turtle Mountain Library, which serves as both an academic and public library, will record elder and community member stories, digitize existing cultural audio-visual recordings that need to be preserved and shared, and engage the community in related activities. The project will record the voices of the last remaining fluent speakers of Anishinaabemowin in the community so their wisdom and stories can be shared with future generations. Library staff will implement a digital preservation plan and make the materials accessible online through the Mukurtu content management system, an open-source platform for indigenous communities to manage and share digital cultural heritage. The library also will strengthen engagement with the community during a Fall Language Day that highlights elder stories as well as a Spring Culture Fest.",Native American Library Services: Enhancement Grants,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Washington State University (Washington State University Libraries),,United States,Mukurtu,,2018-10-01,2019-09-30,,,2018,249999,USD,"249,999.00",imls.gov,https://www.imls.gov/grants/awarded/lg-70-16-0054-16-1,imls:log_number::LG-70-16-0054-16 (a),,"Washington State University will extend the functionality of the free and open source platform Mukurtu, a content management system and community archive platform built with indigenous communities to manage and share digital cultural heritage. Working with partners including the University of HawaII's Department of Linguistics, the Alaska Native Language Archives, the University of Oregon Libraries, the University of Wisconsin, the Wisconsin Library Services, and Yale University's Beinecke Rare Book and Manuscript Library, WSU will create a set of national Mukurtu Hubs. Hubs will contribute to the ongoing development and deployment of the platform, as well as provide training and support to tribal archives, libraries, and museums. The project will expand the reach of the software and ensure its sustainability.",National Leadership Grants - Libraries,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Washington State University (Washington State University Libraries),,United States,Mukurtu,,2015-10-01,2016-09-30,,,2015,641832,USD,"641,832.00",imls.gov,https://www.imls.gov/grants/awarded/lg-70-16-0054-16,imls:log_number::LG-70-16-0054-16,,"Washington State University will extend the functionality of the free and open source platform Mukurtu, a content management system and community archive platform built with indigenous communities to manage and share digital cultural heritage. Working with partners including the University of HawaII's Department of Linguistics, the Alaska Native Language Archives, the University of Oregon Libraries, the University of Wisconsin, the Wisconsin Library Services, and Yale University's Beinecke Rare Book and Manuscript Library, WSU will create a set of national Mukurtu Hubs. Hubs will contribute to the ongoing development and deployment of the platform, as well as provide training and support to tribal archives, libraries, and museums. The project will expand the reach of the software and ensure its sustainability.",National Leadership Grants - Libraries,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
ioi2022,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,WSU,,United States,Mukurtu,Kimberly A. Christen,,,2010,22,2010,"49,606.00",USD,"49,606.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,HD-50972-10,Mukurtu: an Indigenous archive and publishing tool,"Development of an online, open source archiving and publishing tool for use with cultural collections of Indigenous communities.",,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Little Big Horn College,,United States,Mukurtu,Tim Bernardis [Project Director],2019-05-01,2023-04-30,2019,48,2019,330422,USD,"330,422.00",https://apps.neh.gov/open/data/,,neh::PW-264289-19,,"Cultivating Ourselves: Digitization and Access to Crow Historical and Cultural Resources > Little Big Horn College is proposing a project funded through the NEH to continue to digitize historical and cultural materials related to the Crow Indians. The college holds a great deal of antiquated audiovisual materials and will create digital copies saved on a server, tape drive, and off site. Once digitized, the audio and video will be placed online via the Content Management System, Mukurtu allowing for culturally appropriate use. Along with digitization, the project proposes to create translations and transcripts to aid those who lack fluency in the Crow language. Professionals in the field will produce the transcriptions. Weaving all of this together, virtual displays will utilize audiovisual content, transcripts, and other archival materials held at the college. The project team will receive feedback and assistance from outside professionals from the Sustainable Heritage Project at Washington State University and the Montana Historical Society.",Humanities Collections and Reference Resources > Preservation and Access,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Wisconsin Library Services,,United States,Mukurtu,Erin Hughes [Project Director],2021-03-01,2024-02-29,2021,36,2021,342740,USD,"342,740.00",https://apps.neh.gov/open/data/,,neh::PE-277041-21,,"Curating Indigenous Digital Collections > Wisconsin Library Services (WiLS), in partnership with the University of Wisconsin-Madison Information School and tribal community partners, will offer applied learning opportunities in digital preservation and curation for tribal cultural workers, early-career preservation professionals, and graduate students in archives and information science programs, while advancing the ongoing work of tribal libraries, archives, and museums to collect, preserve, and provide appropriate access to cultural patrimony. Curating Indigenous Digital Collections will support three one-year Fellows placed with six tribal Partners. Fellows will support Partners in developing and implementing digital projects using Mukurtu CMS, a content management system designed to meet the unique needs of Indigenous communities. As Native Nations face massive losses of knowledge and knowledge keepers, this project provides critical support to build local capacities and protect tribal identity and sovereignty.",Preservation and Access Education and Training > Preservation and Access,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Standing Rock Sioux Tribe,,United States,Mukurtu,Nacole Walker [Project Director],2023-04-01,2025-03-31,2023,24,2023,450000,USD,"450,000.00",https://apps.neh.gov/open/data/,,neh::PD-290079-22,,"Expanding the Standing Rock Dakota/Lakota Language Archive and Local Research Capacity > [Prepared by NEH staff] Since 2018, the Standing Rock Language and Culture Institute has been building an interactive, fully searchable digital archive of recordings and texts made in fluent Western Dakota and Lakota, two dialects of the Indigenous language of the Standing Rock Sioux Tribe. These dialects are extremely threatened, as there are currently estimated to be fewer than 180 individuals across Standing Rock who speak Lakota or Western Dakota fluently, almost all of whom are over the age of 65, yet there is a growing interest in restoring the dialects as everyday languages. This project would employ two language experts to produce recordings documenting the language dialects as well as draw upon the present digital archive, build capacity for an archive training program, and publish data on a customized Mukurtu site with physical storage at Sitting Bull College.",Documenting Endangered Languages - Preservation > Preservation and Access,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"University of Texas, Austin",,United States,Mukurtu,Tanya Clement [Project Director],2014-07-01,2017-08-31,2014,38,2014,250000,USD,"250,000.00",https://apps.neh.gov/open/data/,,neh::PR-50200-14,,"High Performance Sound Technologies for Access and Scholarship Research and Development with Repositories > In order to increase the preservation of significant spoken word (such as poetry, storytelling, speeches, and oral histories) sound recordings, the UT Austin iSchool and the Illinois Informatics Institute (I3) are requesting two years of funding for HiPSTAS Research and Development with Repositories (HRDR) to develop software (ARLO) that uses machine learning and visualization to help users automate metadata description for undescribed sound collections. Products will include: (1) open source software (ARLO) that can be used with a variety of repositories; (2) a Drupal module for Mukurtu, an open source content management system designed for indigenous communities worldwide; (3) workshops and documentation for wider dissemination and training; and (4) a white paper detailing best practices in generating descriptive metadata for audio collections in the humanities.",Research and Development > Preservation and Access,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,EV_TR,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,New York University,,United States,Mukurtu,Jane Anderson [Project Director],2019-01-01,2022-06-30,2019,42,2019,300000,USD,"300,000.00",https://apps.neh.gov/open/data/,,neh::PE-263553-19,,"Local Contexts: Collaborative Curation Training and Education for Indigenous collections > We are applying for an NEH Education and Training Grant (Continuing Education) to increase knowledge and skills for the ongoing preservation, access and curation of Indigenous cultural heritage materials. This grant would allow the Local Contexts team at NYU to build out a specialized ""Intellectual Property, Rights and Native American Collections"" curriculum that provides specialized training on: IP and Digitization for Native American collections; advanced training in the collaborative preservation and curation digital tools that we have developed - the TK Labels and Mukurtu CMS; and technical training in developing collaborative curation workflows that can accommodate IP and Indigenous cultural rights.",Preservation and Access Education and Training > Preservation and Access,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,EV_TR,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Washington State University,,United States,Mukurtu,Kimberly Christen [Project Director],2021-01-01,2023-12-31,2021,36,2021,324996,USD,"324,996.00",https://apps.neh.gov/open/data/,,neh::HAA-277233-21,,"Mukurtu Hubs: Sustaining and Empowering Community Digital Stewardship with Native American and Native Alaskan Communities > This project seeks to expand the digital and human infrastructure necessary for the ongoing development, deployment, support, and training related to Mukurtu CMS—a free and open source content management system and community digital access platform built with and for Indigenous communities globally. Now in its second decade of development, Mukurtu CMS is an established digital platform used to empower and sustain the ethical circulation, curation, management and preservation of cultural heritage materials and traditional knowledge, including endangered languages and digitally repatriated cultural materials. The proposed project will expand the current Mukurtu Hubs program from four to six regional hubs, and extend the Mukurtu CMS software to provide increased capacity, infrastructure and support to Native American and Native Alaskan communities as they seek to manage, share, and provide access to their valuable cultural, linguistic and historic materials.",Digital Humanities Advancement Grants > Digital Humanities,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Washington State University,,United States,Mukurtu,Kimberly Christen [Project Director],2013-09-01,2016-08-31,2013,36,2013,319331,USD,"319,331.00",https://apps.neh.gov/open/data/,,neh::HK-50120-13,,"Mukurtu Mobile: Empowering Knowledge Circulation Across Cultures > This project will implement Mukurtu Mobile (mukurtumobile.org), an innovative iPhone application that empowers indigenous communities to collect, share and preserve their cultural and environmental resources. Mukurtu Mobile provides a platform for individuals to bring their own knowledge base to the common concerns of local, traditional and indigenous communities worldwide. With an interface directly to Mukurtu CMS, Mukurtu Mobile will link the power of a robust, culturally responsive CMS to the direct collection of knowledge on-the-ground. Adopted by communities globally, Mukurtu CMS (mukurtu.org) was built to address the specific needs of indigenous communities to manage, share and preserve their digital heritage. From citizen archivists to citizen scientists Mukurtu Mobile will enable the connection of local sets of knowledge and data to fuel research hubs and educational environments that unite local communities around global issues such as natural and cultural resource management.",Digital Humanities Implementation Grants > Digital Humanities,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Washington State University,,United States,Mukurtu,Kimberly Christen [Project Director],2010-03-01,2011-12-31,2010,22,2010,49606,USD,"49,606.00",https://apps.neh.gov/open/data/,,neh::HD-50972-10,,"Mukurtu: an Indigenous archive and publishing tool > The Mukurtu project seeks to create prototype of an open source, standards-based, archiving and publishing tool adaptable to the local cultural protocols and complex intellectual property rights systems of Indigenous communities. As the third phase of an on-going project, this software differentiates itself by providing Indigenous communities with a customizable, turnkey solution to their archive and web-publishing needs. Indigenous communities have been underserved by Web 2.0 technologies focusing on archival sharing, social networking, and user-generated production. Similarly, Indigenous voices have been marginalized in the collection of metadata pertaining to their cultural heritage. Mukurtu addresses these twin erasures by bringing together Web 2.0 technologies, collecting institutions and Indigenous communities through a flexible archival platform. Mukurtu will facilitate knowledge sharing between Indigenous communities and collecting institutions.",Digital Humanities Start-Up Grants > Digital Humanities,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Brown University,,United States,Mukurtu,Ashley Champagne [Co Project Director]; Linford Fisher [Project Director],2022-09-01,2025-08-31,2022,36,2022,350000,USD,"350,000.00",https://apps.neh.gov/open/data/,,neh::HAA-287921-22,,"Stolen Relations: Recovering Stories of Indigenous Enslavement in the Americas > Stolen Relations: Recovering Stories of Indigenous Enslavement in the Americas (www.indigenousslavery.org) is a community-centered, collaborative project that seeks to broaden our understanding of Indigenous experiences of settler colonialism and its legacies through the lens of slavery and servitude. We are applying for a Level III NEH DHAG in order to design and program a front end public interface, initiate new partnerships (especially with the Tomaquag Museum), and build and expand the technical aspects of the database (including linked open data and migrating to Mukurtu). We are gathering and documenting as many instances as possible of Indigenous enslavement in the Americas between 1492 and 1900 (and beyond, where relevant), focused primarily on New England for now, in close partnership with thirteen regional tribes, nations, and communities. Our project seeks to recover the stories of individuals and make these stories and documents available for use by a broad range of people.",Digital Humanities Advancement Grants > Digital Humanities,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Alutiiq Heritage Foundation,,United States,Mukurtu,April Counceller,2014-08-01,2020-07-31,,,2014,455520,USD,"455,520.00",nsf,,1360839,The Alutiq Language Archive and Speaker Registry,"A fundamental mission of the Documenting Endangered Language Program is to create digital infrastructure that provides scientists and endangered-language community members access to threatened language data. Countless extant records of endangered languages worldwide are in need of curation with input from linguists and the speaker-communities. April Counceller and Alisha Drabek of the Alutiiq Heritage Foundation will work with a strong team of community members, linguists, archivists, and museum curators to build a comprehensive database of one highly endangered language, Kodiak Alutiiq spoken in coastal Alaska (Alaska Peninsula to Prince William Sound). This database will include existing audio recordings with enhanced metadata, additional data from 33 remaining speakers, and a speaker registry recording when and how each speaker acquired the language. A major part of the project will be to educate Alutiiq speakers on metadata terminology so that materials can continue to be curated and located with ease. <br/><br/>The key to improved language documentation and linguistic discovery is access to language data from a variety of genres, ages, and styles since each data sample provides a different view of language structure. The proposed Alutiq database, created using the innovative Mukurtu Content Management System for endangered language data, will be a model for other communities on how to create a rich corpus for linguistic analysis and community use and how to curate data. It will provide data access and search capabilities. The project will fill gaps in the database by recording missing genres or interaction-types from speakers. The database will be easily accessible through the Alutiiq Museum and the Alaska Native Language Archive websites.",,Digital asset management system,Archive information management system,,"Digital asset management system, Archive information management system, "
openaire,ADOPT_C,Adoption,European Commission,https://ror.org/00k4n6c32,Public,STICHTING OAPEN*OPEN ACCESS PUBLISHING IN EUROPEAN NETWORKS,,Netherlands,OAPEN Library,,2015-12-01,2017-11-30,,,2015,50000,EUR,"53,000.00",openaire,,corda__h2020::997684146854e9672c7271952f9ed1bd,Support towards the OAPEN initiative (2015-2016),"ERC-OAPEN-2015 aims to set up a deposit service for OA books based on research funded by ERC. OAPEN will collect, host and provide access to the books and book chapters, in order to maximise dissemination and scientific and societal impact. The deposit service will consist of the following main components: identify and approach eligible grantees; identify research output in the form of monographs; capture and host the publications and metadata; and report on the results (publications, compliance, usage).
An important part of the project will be to determine the practical dimensions of the deposit service for ERC: the project will establish the policy framework for OA publications under FP7 and Horizon 2020 rules (Special Clause 39 ERC in the FP7 ERC model Grant Agreement; Article 29.2 in the Horizon 2020 ERC Model Grant Agreement); explore the potential routes to the deposit of books, through authors (grantees) and publishers; determine which versions of the publication can be accepted in the OAPEN Library (final accepted manuscript, published edition); and under what licenses and conditions (such as an embargo). These dimensions need to be determined in consultation with the ERCEA, and in cooperation with the grantees and publishers.
The OAPEN deposit service for ERC will consist of the following elements:
- raising awareness for OAPEN’s deposit service in support of ERC’s OA requirements
- providing guidance and support to ERC beneficiaries and publishers to comply with ERC guidelines and requirements
- aggregation and deposit of OA monographs and monograph chapters in the OAPEN Library
- quality assurance of publications
- hosting and full text retrieval of OA publications
- dissemination and digital preservation of OA publications
- reporting on the results of the deposit service in terms of: numbers and types of publications; compliance of publications in relation to ERC requirements; usage based on COUNTER compliant usage statistics.",,Publishing system,Discovery system,,"Publishing system, Discovery system, "
openaire,RD,Direct,European Commission,https://ror.org/00k4n6c32,Public,Digital Research Infrastructure for the Arts and Humanities,,European Union,OAPEN Library,,2017-01-01,2019-06-30,,,2017,1988880,EUR,"2,081,362.92",openaire,,corda__h2020::07a4f9e18eb821a613972ca1e8958890,High Integration of Research Monographs in the European Open Science infrastructure,"HIRMEOS will improve five important publishing platforms for the open access monographs in the SSH and enhance their technical capacities and services, rendering technologies and content interoperable and embedding them fully into the European Open Science Cloud. The project focuses on the monograph as a significant mode of scholarly communication in the SSH and tackles the main obstacles of the full integration of important platforms supporting open access monographs and their contents. HIRMEOS will prototype innovative services for monographs in view of full integration in the European Open Science Cloud by providing additional data, links and interactions to the documents, paving the way to new potential tools for research assessment, which is still a major challenge in the SSH. The platforms participating (OpenEdition Books, OAPEN Library, EKT Open Book Press, Ubiquity Press and Göttingen University Press ) will be enriched with tools that enable identification, authentication and interoperability (DOI, ORCID, Fundref), and tools that enrich information and entity extraction (INRIA (N)ERD), the ability to annotate monographs (Hypothes.is), and gather usage and alternative metric data. HIRMEOS will also enrich the technical capacities of the Directory of Open Access Books (DOAB), a most significant indexing service for open access monographs globally, to receive automated information for ingestion, while it will also develop a structured certification system to document monograph peer-review. Partners will develop shared minimum standards for their monograph publications, such that allow the full embedding of technologies and content in the European Science Cloud. Finally, the project will have a catalyst effect in including more disciplines into the Open Science paradigm, widening its boundaries towards the SSH.",,Publishing system,Discovery system,,"Publishing system, Discovery system, "
openaire,OPS,Direct,European Commission,https://ror.org/00k4n6c32,Public,STICHTING OAPEN*OPEN ACCESS PUBLISHING IN EUROPEAN NETWORKS,,Netherlands,OAPEN Library,,2020-11-01,2022-10-31,,,2020,60000,EUR,"69,912.00",openaire,,corda__h2020::f649b2735d180230485f0a0b654561c7,Support to the OAPEN initiative (2020-2021),"The OAPEN deposit service for OA monographs was set up to support funders' OA policies. It was launched in 2014 and has been implemented for the Austrian Science Fund (FWF), the Wellcome Trust, the Swiss National Science Foundation (SNF), and the ERC. Through the deposit service, new publications - funded by these funders - are disseminated through the OAPEN Library.
ERC-OAPEN-2019 is a continuation of the existing cooperation with the ERC. The aim of ERC-OAPEN-2019 is to support the maintenance and further improvement of the existing OAPEN services and infrastructure and to support its sustainability, as well as to help OAPEN strengthen its engagement with publishers and with researchers in support of the ERC's Open access strategy.
OAPEN will engage with publishers to improve awareness of open access requirements, to Improve support for ERC researchers, and to grow self-archiving policies for books and chapters.
OAPEN will engage with ERC researchers through e-mail campaigns and supporting communication material, to increase awareness of open access requirements among researchers, to increase adoption of good practises, and to grow the number of deposits.
OAPEN will engage with funders to develop an alternative funding model to sustain OAPEN services.",,Publishing system,Discovery system,,"Publishing system, Discovery system, "
openaire,RD,Direct,European Commission,https://ror.org/00k4n6c32,Public,STICHTING OAPEN*OPEN ACCESS PUBLISHING IN EUROPEAN NETWORKS,,Netherlands,OAPEN Library,,2018-01-01,2019-12-31,,,2018,60000,EUR,"72,390.00",openaire,,corda__h2020::0c455e7cb66ef08f30f1ec90af9f5be6,Support towards the OAPEN initiative (2018-2019),"This project supports OAPEN to enlarge the quality controlled collection of open access books already hosted by the OAPEN Library, and to develop additional services for publishers, libraries and research funders in the areas of dissemination, quality assurance and digital preservation.
The project specifically intends to enlarge the collection of OA books and chapters relating to research funded through ERC grants, by aggregating these publications and enabling publishers and authors to deposit these publications directly into the OAPEN Library.
The project will develop new components to increase the visibility and usage of the ERC collection, to improve integration with OpenAIRE, and to increase the understanding of societal and scholarly impact of ERC publications through an Altmetrics service.
New components include:
- Collection view: a separate website providing a branded view of the ERC collection, thereby improving the overall visibility of the collection;
- Research grant information: adding standard information from ERCEA and other sources to provide additional information about the research connected to the publication, improving discoverability and usage of the ERC collection;
- Review linking: exploring whether it is possible to link to reviews of publications, to promote these publications and increase usage.",,Publishing system,Discovery system,,"Publishing system, Discovery system, "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Cornell University,,United States,OAPEN Library,Dean Smith [Project Director],2017-05-01,2018-04-30,2017,12,2017,99553,USD,"99,553.00",https://apps.neh.gov/open/data/,,neh::HZ-254284-17,,"Humanities Open Book Program - Cornell University II > Cornell University Press seeks $99,553 for 1 year to make 57 outstanding works of scholarship in foundational disciplines openly accessible. The Press will use the funding to (1) continue an established methodology for selecting titles by working with library selectors and scholars to include out-of-print titles in Anthropology, Classics, and Political Science; (2) extend and enhance our existing methodology by including titles in Literary Theory that will be used in courses; (3) accelerate the digitization, delivery, and rights clearance for out-of-print titles and the dissemination of OA monographs in EPUB3.0.1; and (4) promote the titles across multiple platforms (including Cornell Open, JSTOR, Project MUSE, HathiTrust and OAPEN) and assess the impact on a global scale via user surveys from librarians at 1,700 institutions of higher learning in the U.S. and at the member institutions of 180 global consortia.",Humanities Open Book Program > Digital Humanities,Publishing system,Discovery system,,"Publishing system, Discovery system, "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,University of Washington,,United States,OAPEN Library,Nicole Mitchell [Project Director],2021-01-01,2021-12-31,2021,12,2021,5500,USD,"5,500.00",https://apps.neh.gov/open/data/,,neh::DR-278009-21,,"Open-access edition of Footprints of War: Militarized Landscapes in Vietnam, by David Biggs > Footprints of War by David Biggs (FA-57319-13) traces the long history of conflict-produced spaces in Vietnam, from the French colonial invasion in 1885 through the collapse of the Saigon government in 1975. The result is a richly textured history of militarized landscapes that reveals the spatial logic and social impact of key battles. It also explores how the militarized landscapes here, as in many historic conflict zones, continue to shape post-war land-use politics. We published a hardcover edition in 2018 and propose to publish an open-access edition with a Creative Commons license. We will post it on leading OA repositories including JSTOR, MUSE Open, OAPEN, Internet Archive, and HathiTrust. We are also piloting the Manifold platform, which will enable the author to link additional resources to the book for further research and teaching purposes. We will promote the OA edition at professional conferences and via direct mail and social media. We will pay the author a $500 royalty.",Fellowships Open Book Program > Digital Humanities,Publishing system,Discovery system,,"Publishing system, Discovery system, "
oic_scrape,EV_TR,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,DataCite,,Germany,DataCite,None,,,2023,,2023,25000,USD,"25,000.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/10388,sloan:grants::10388,,"To partially support the csv,conf v7 workshop on open data, open-source software, and open hardware
",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,DataCite,,Germany,DataCite,None,,,2021,,2021,249777,USD,"249,777.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/9642,sloan:grants::9642,,To transition International GeoSample Number registration services and supporting technology to DataCite
,,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
oic_scrape,OPS,Direct,Chan Zuckerberg Initiative,https://ror.org/02qenvm24,Private,DataCite,,Germany,DataCite,,,,2022,,2022,900000,USD,"900,000.00",chanzuckerberg.com,https://chanzuckerberg.com/grants-ventures/grants/,chanzuckerberg::a0C1K00000Yrn5r,,for general operating support,Science (Open Science),Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
openaire,RD,Direct,European Commission,https://ror.org/00k4n6c32,Public,DATACITE – INTERNATIONAL DATA CITATION INITIATIVE,,Germany,DataCite,,2022-06-01,2025-05-31,,,2022,8011440,EUR,"8,581,854.53",openaire,,corda_____he::3e06d00898f59e39ab066fd819398787,Expanding FAIR Solutions across EOSC,"FAIR-IMPACT focuses on expanding FAIR solutions across the EOSC. It builds on the results of FAIRsFAIR and other relevant projects and initiatives. The project aims to realise a FAIR EOSC, that is an EOSC of FAIR data and services. FAIR-IMPACT will identify proven domain solutions and facilitate the interoperable uptake of these solutions across scientific domains and for different types of research output. This includes the overall FAIRification of various research objects from assigning and managing identifiers, describing them with shared and common semantics to making them interoperable and reusable, as well as the challenge of projecting the FAIR principles to other types of research objects such as software.
FAIR-IMPACT meets these challenges through three work packages which identify and adapt candidate approaches, tools and solutions suitable for wider adoption, and two work packages focussing on interoperability, adoption and support. Scientific communities are included in the consortium as integrated use case partners. This will ensure that viable and tested solutions from one domain can be piloted in others and help to achieve wider uptake, adoption, implementation of, and compliance with the FAIR principles. As the project unfolds, additional support mechanisms (cascading grants, in-kind support) will be introduced.
The FAIR-IMPACT ambition is to build a web of FAIR data and related services together with the scientific community and relevant stakeholder groups, and to take steps towards realising the ambition of a web of Open Science. FAIR-IMPACT will contribute to transforming the way researchers share and exploit research outputs within and across research disciplines? and to the facilitation of scientific multi-disciplinary cooperation. With its focus on increasing FAIRness, FAIR-IMPACT will contribute to improving public trust and reproducibility in science.",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
openaire,RD,Direct,European Commission,https://ror.org/00k4n6c32,Public,DATACITE – INTERNATIONAL DATA CITATION INITIATIVE,,Germany,DataCite,,2022-06-01,2025-05-31,,,2022,9997560,EUR,"10,709,386.27",openaire,,corda_____he::be4f54dccecbb1dd6d0176e2cb729c87,Core Components Supporting a FAIR EOSC,"FAIRCORE4EOSC focuses on the development and realisation of EOSC-Core components supporting a FAIR EOSC, addressing gaps identified in the SRIA. Leveraging existing technologies and services, the project will develop nine new EOSC-Core components aimed to improve the discoverability and interoperability of an increased amount of research outputs. FAIRCORE4EOSC will also contribute to the EOSC Interoperability Framework by establishing new guidelines on the new EOSC-Core components. The new components will be crucial to support the FAIR research life cycle. Five user-centric case studies (climate change, social sciences and humanities, mathematics, national research information systems, research data management communities) will drive the development and testing of the new components ensuring they are tailored to the user needs (co-design). All the selected case studies share similar challenges that are common to many other stakeholder groups: research communities at European and national level have datasets that currently cannot be found in the EOSC; they use Digital Object Identifiers (DOIs) but they are lacking PIDs for different levels of aggregation; they use community specific services to manage metadata that make cross-discipline reuse and interoperability complex. The user stories and best practices drawn by the case studies will be used to foster uptake of the new components beyond the project partners. The 22 complementary partners of the FAIRCORE4EOSC consortium have long-lasting experience in the provision and development of research data services, persistent identifiers, metadata and semantic registries, services and tools to archive and reference research software. The partners have also significantly contributed to the EOSC SRIA and are active members of the EOSC Association Task Forces (TFs) providing the project a unique insight and capacity to boost the development of the Web of FAIR Data and Related Services.",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
openaire,ADJ,Indirect,European Commission,https://ror.org/00k4n6c32,Public,British Library,,United Kingdom,DataCite,,2015-06-01,2017-11-30,,,2015,3456250,EUR,"3,782,520.00",openaire,,corda__h2020::eaa3b3a4fb4bd34ca0afa7f5742f8133,THOR – Technical and Human Infrastructure for Open Research,"Five years ago, a global infrastructure to uniquely attribute to researchers their scientific artefacts (articles, data, software…) appeared technically and socially infeasible. Since then, DataCite has minted over 3.5m unique identifiers for data. ORCID has deployed an open solution for identification of contributors with over 850,000 registrants in less than 2 years.
THOR will leverage these emerging global infrastructures to support the H2020 goal to make every researcher ‘digital’ and increase creativity and efficiency of research, while bridging the R&D divide between developed and less-developed regions. We will establish interoperability between existing resources, linking digital identifiers across platforms and propagating attribution information.
We will integrate PID services across the research lifecycle and data publishing workflows in four advanced research communities, and then roll-out core services and service building blocks for the wider community. These open resources will foster an open and sustainable e-infrastructure across stakeholders to avoid duplications, give economies of scale, richness of services and the ability to respond rapidly to opportunities for innovation.
THOR is not just relevant to the EINFRA-7-1024 Call, but will become a pervasive element of the EINFRA family of e-Infrastructure resources over the next 3 years. It will allow data-management and curation services to exploit knowledge of data location and attribution; provide robust and persistent mechanism for linking literature and data; enable search and resolving services and generate incentives for Open Science; deliver provenance and attribution mechanisms to underpin data exchange; and provide minting and resolving services for data citation workflows.
Its impact will enable third-party services, no-profit and commercial, to leverage the scholarly record.",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
openaire,COMM,Direct,European Commission,https://ror.org/00k4n6c32,Public,DATACITE – INTERNATIONAL DATA CITATION INITIATIVE,,Germany,DataCite,,2019-03-01,2022-02-28,,,2019,9998850,EUR,"11,381,690.96",openaire,,corda__h2020::af3c7ad2d3812fddb9a9b9999f774bfe,Fostering FAIR Data Practices in Europe,"Now the H2020 EOSC pilot project has taken the first steps towards creating the blueprint for an open European Science Cloud, this proposal aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR.
Keeping in mind that there is no ‘one size fits all’, the consortium will focus on all scientific communities for supporting, creating, further developing and implementing a common scheme to ensure data development, wide uptake of and compliance with FAIR data principles and practices by data producers as well as national and European research data providers and repositories contributing to the EOSC. Furthermore, the consortium will closely collaborate with other relevant (global) projects and initiatives already on the way e.g. GO-FAIR, Research Data Alliance (RDA), World Data System (WDS), CODATA.
We will provide a platform for using and implementing the FAIR principles in the day to day work of national and European research data providers and repositories. The consortium cooperates with other projects that will be funded under the INFRAEOSC-05-2018 topic (e.g. the EOSC governance (5a) and where appropriate 5b, the projects funded in the INFRAEOSC-04-2018 topic (e.g. the ESFRI clusters SSHOC, PANOSC, ENVRI FAIR, ESCAPE and EOSCLife) and with the EOSC coordination structure developed in the existing EOSC-pilot and EOSC-hub projects.
According to the research data life cycle (planning/creating, processing, analysing, preserving and reuse) the consortium partners have defined goals, activities and outputs on
- making data FAIR through research workflows
- ensuring long-term preservation of data
- making data FAIR through data curation
- improving accessibility of research data (e.g. legal barriers)
- improving findability of data through creation and interconnection of metadata catalogues
- curricula/education",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
openaire,USE,Indirect,European Commission,https://ror.org/00k4n6c32,Public,DATACITE – INTERNATIONAL DATA CITATION INITIATIVE,,Germany,DataCite,,2021-01-01,2023-06-30,,,2021,6997710,EUR,"8,604,384.22",openaire,,corda__h2020::267aa418efb9d50c8c79e861bb005c28,Data Infrastructure Capacity for EOSC,"The Data Infrastructure Capacities for EOSC (DICE) consortium brings together a network of computing and data centres, research infrastructures, and data repositories for the purpose to enable a European storage and data management infrastructure for EOSC, providing generic services and building blocks to store, find, access and process data in a consistent and persistent way. Specifically, DICE partners will offer 14 state-of-the-art data management services together with more than 50 PB of storage capacity. The service and resource provisioning will be accompanied by enhancing the current service offering in order to fill the gaps still present to the support of the entire research data lifecycle; solutions will be provided for increasing the quality of data and their re-usability, supporting long term preservation, managing sensitive data, and bridging between data and computing resources.
All services provided via DICE will be offered through the EOSC Portal and interoperable with EOSC Core via a lean interoperability layer to allow efficient resource provisioning from the very beginning of the project. The partners will closely monitor the evolution of the EOSC interoperability framework and guidelines to comply with a) the rules of participation to onboard services into EOSC, and b) the interoperability guidelines to integrate with the EOSC Core functions.
The data services offered via DICE through EOSC are designed to be agnostic to the scientific domains in order to be multidisciplinary and to fulfil the needs of different communities.
The consortium aims to demonstrate their effectiveness of the service offering by integrating services with community platforms as part of the project and by engaging with new communities coming through EOSC.",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
openaire,USE,Indirect,European Commission,https://ror.org/00k4n6c32,Public,DATACITE – INTERNATIONAL DATA CITATION INITIATIVE,,Germany,DataCite,,2017-12-01,2020-11-30,,,2017,4998650,EUR,"5,940,895.52",openaire,,corda__h2020::c128ba22bbaf0a1c6d094a0c0c3d38f2,"Connected Open Identifiers for Discovery, Access and Use of Research Resources","The goal of the FREYA consortium is to iteratively extend a robust environment for Persistent Identifiers (PIDs) into a core component of European and global research e-infrastructures. The resulting FREYA services will cover a wide range of resources in the research and innovation landscape and enhance the links between them so that they can be exploited in many disciplines and research processes. This will provide an essential building block of the European Open Science Cloud (EOSC). Moreover, the FREYA project will establish an open, sustainable, and trusted framework for collaborative self-governance of PIDs and services built on them.
FREYA capitalises on the successes of the THOR project and will build on the core services of the existing trusted PID systems of the project partners, developing them in the context of established community-based services and more widely through the EOSC. The FREYA e-infrastructure components will be built on technologies and services that are already well proven. New services, and new PID types, will be introduced and moved up the scale of Technology Readiness Levels, so that the emerging e-infrastructure services are prototyped and positioned for evolution beyond the end of the FREYA project.
The vision of FREYA is built on three key ideas: the PID Graph, PID Forum and PID Commons. The PID Graph connects and integrates PID systems to create an information map of relationships across PIDs that provides a basis for new services. The PID Forum is a stakeholder community, whose members collectively oversee the development and deployment of new PID types; it will be strongly linked to the Research Data Alliance (RDA). The sustainability of the PID infrastructure resulting from FREYA beyond the lifetime of the project itself is the concern of the PID Commons, defining the roles, responsibilities and structures for good self-governance based on consensual decision-making.",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
openaire,USE,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz24,Public,Institut de génétique et de biologie moléculaire et cellulaire (UM 41 - UMR 7104 - UMR_S 1258),,France,DataCite,,,,,,,93420,EUR,,openaire,,anr_________::8375d8f2857d6aa24ef439b80b53cbea,A gateway between imaging data management tools to enforce FAIR principles,"Since 2018, the Institute of Genetics and Molecular and Cell Biology (IGBMC) has been committed to adopt a new approach to drive global changes in scientific data management and follow FAIR principles (Findable, Accessible, Interoperable, Reusable). To meet this challenge, the IGBMC relies on digital tools set up at the national level like OPIDoR data management plan dashboard or the LabGuru electronic laboratory notebook, but also local data management solution like OMERO storage, visualization and annotation tools and an institutional data warehouse that enable researchers to archive their work in a sustainable and secure manner. To date, we have identified two major parameters that limit the effectiveness of our organization. First, heterogeneous digital tools made available to research teams cause a scattering of data and loss of metadata. Second, beyond the support that can be offered to researchers to use these tools, their adoption or daily use remains complex because it requires a constant and diligent follow-up to keep in track with the FAIR principles. In this context, the IGBMC aims to associate its IT department, its imaging center and three research teams to carry out an experiment dedicated to the development of 1) a central and transversal gateway tool for the functional integration of the existing data management tools and 2) a methodology for monitoring projects and their data. The gateway tool, in the form of a web application, will facilitate the transversal identification of projects and their associated data, from the data management plan created on OPIdoR, to the publication, through the LabGuru electronic lab notebook and data processing tools such as OMERO. The aim is to streamline the transfer of data from production to archiving, while automatically enriching metadata. This tool will automate the publication of the archived data in official catalogs and reference them in indexes such as datacite (datacite.org) for sharing the research outputs. Keeping track of metadata for each dataset is an essential aspect to be compliant with FAIR principles. In parallel, the development of a methodology for monitoring projects will aim to support the research teams to show them the benefits of developing a data management plan from the beginning of a project, raise awareness of data storage management costs and train them in the FAIR principles. This experimentation will be carried out on light microscopy image data before extending it to all types of biology data (omics, phenotyping, etc.) for the next stage of the project. All connectors and gateways as well as dashboards will be designed to be usable in any research lab and released in standard package format under an OpenSource license.",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Association of Research Libraries,,United States,DataCite,Cynthia Vitale,2021-08-01,2023-10-31,,,2021,297019,USD,"297,019.00",nsf,,2135874,EAGER: Completing the Lifecycle: Developing Evidence Based Models of Research Data Sharing,"Effective data sharing practices are vital for the success of scientific research, especially in the emerging context of Open Science principles. This project will conduct a detailed analysis of data sharing activities in several specific institutional and organizational contexts in order to better understand the patterns, practices, costs, barriers, and workflows that support public access to research data. The project is being undertaken with coordination between several major associations which are key supporters of scientific research in the United States. Many academic institutions provide infrastructure to support researchers in data sharing activities. These services and infrastructures are often distributed across the institution, housed in various administrative units, such as campus IT, the university libraries, and the research office, among others. Given this distributed and often undocumented ad hoc nature, the true costs of public access to research data is not well understood. This project is designed to illuminate many of the currently unknown factors about the institutional landscape for public access to research data. <br/><br/>The technical aspects of this analysis project are as follows. An assessment of research data repository use patterns will be accomplished by analyzing metadata harvested by means of the DataCite application programming interface (API). A retrospective study of discipline-specific and format-specific research data practices will be accomplished utilizing a NIST-based institutional functional model for public access to research data applied to a series of institutions and sub-disciplines. Finally, financial data will be collected and analyzed from the institutions using a combination of NAS and NIST cost models to consistently compare costs of data sharing activities and thereby produce a generalizable understanding of institutional expenditures.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,DataCite - International Data Citation Initiative e.V,,Germany,DataCite,Mr Matthew Buys,2023-02-01,2026-01-31,2022,1095 days,2023,2674505,GBP,"3,295,449.48",wellcome.org_360giving-export,,360g::360G-Wellcome-226453_Z_22_Z,Make Data Count: A Central Corpus for All Data Citations,"To articulate the value proposition and justify open science as a norm in the research community, it is necessary to assess the impact and reach of investments made in open research data. The Make Data Count (MDC) initiative began in 2014 with the goal of creating the infrastructure for open data metrics. While different communities have yet to agree on the appropriate indicators for assessing the reach and impact of diverse research data, it is clear that standardizing and quantifying data citations is a necessary first step. Despite a growing emphasis on data citation among research stakeholders over the last five years, data citation initiatives have yet to be successful. In order to expose data citations in a reusable manner, DataCite proposes to shift focus away from relying on publisher workflows, utilizing text scraping methodologies and expanding scope beyond DOIs, developing an open data citation corpus, storing asserted data citations from a diverse set of sources. Driving the MDC initiative forward, this corpus will serve as a trusted and aggregated CC0 source of data citations from traditional workflows (Crossref), full text scraping algorithms (Meta), and biomedical/life sciences repositories (EMBL-EBI).
",Discretionary Award,Discovery system,Persistent identifier service,,"Discovery system, Persistent identifier service, "
oic_scrape,RD,Direct,Arcadia Fund,https://ror.org/051z6e826,Private,University of Virginia Library,,United States,Hyku,,2019-06-12,,2019,24 months,2019,1000000,USD,"1,000,000.00",arcadia.org.uk__360giving-export,,360g::360G-ArcadiaFund-4189,The Hyku Institutional Repository platform,This grant will be used to significantly improve and drive the growth and heightened value of green open access through institutional repositories. It will do so by introducing new features to the Hyku Institutional Repository platform that directly address issues currently slowing its wider use.,Open Access > Discoverability,Repository software,Preservation system,,"Repository software, Preservation system, "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,The Private Academic Library Network of Indiana,,United States,Hyku,,2020-10-01,2021-09-30,,,2020,248050,USD,"248,050.00",imls.gov,https://www.imls.gov/grants/awarded/lg-250163-ols-21,imls:log_number::LG-250163-OLS-21,,"The Private Academic Library Network of Indiana, in partnership with the Pennsylvania Academic Library Consortium, Inc., will increase the flexibility, accessibility, and usability of Hyku, the multi-tenant repository platform system. This project will extend previous work and improve the national digital repository infrastructure by enhancing an open-source platform suitable for access to diverse types of materials, addressing needs articulated by stakeholders and consortia, and reducing barriers to adoption. In addition to technology development, we will develop an operational toolkit geared toward the administration of consortially owned and managed repository services that is agnostic to any specific technology. The toolkit will provide guidelines, information, and other materials to support the development of similar services in other consortia.",National Leadership Grants - Libraries,Repository software,Preservation system,,"Repository software, Preservation system, "
oic_scrape,ADOPT_C,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,University of Houston,,United States,Hyku,,2016-10-01,2017-09-30,,,2016,249103,USD,"249,103.00",imls.gov,https://www.imls.gov/grants/awarded/lg-70-17-0217-17,imls:log_number::LG-70-17-0217-17,,"The University of Houston Libraries, in collaboration with Stanford University, DuraSpace, Indiana University and the Digital Public Library of America, will develop a toolkit to help institutions accomplish complex system migrations. Focusing primarily on migrations from CONTENTdm to Hyku, the toolkit will allow institutions to better understand their digital library ecosystems and how they can prepare for migration. It will include content such as documentation on the theoretical approaches to migration, instructions on how to conduct a needs assessment based on analyzing metadata structures and understanding system requirements, best practices for preparing repository data for migration, and specialized tools to assist users with migration to Hyku.",National Leadership Grants - Libraries,Repository software,Preservation system,,"Repository software, Preservation system, "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Center for Open Science,,United States,OSF (Open Science Framework),None,,,2013,,2013,500000,USD,"500,000.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/6645,sloan:grants::6645,,"To help move the Open Science Framework (OSF) to version 1.0, and to foster the development of an open source/open science community
",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,USE,Indirect,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2015,60,2015,"385,463.00",USD,"385,463.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To encourage preregistration of scientific studies by offering monetary awards to selected researchers who publish studies that have been preregistered on the Open Science Framework.,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,UNK,Unknown,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2013,60,2013,"5,250,000.00",USD,"5,250,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,"To help foster open, reliable, and rigorous scientific research.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,OPS,Direct,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2020,12,2020,"15,000.00",USD,"15,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To provide general operating support.,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,OPS,Direct,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2020,36,2020,"1,000,000.00",USD,"1,000,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To provide general operating support.,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,OPS,Direct,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2019,48,2019,"1,000,000.00",USD,"1,000,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To provide general operating support.,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,OPS,Direct,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2018,36,2018,"4,250,000.00",USD,"4,250,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To provide general operating support.,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,OPS,Direct,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2016,36,2016,"7,500,000.00",USD,"7,500,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To provide general operating support.,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,RD,Direct,Arnold Ventures,https://ror.org/04hqxh742,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2015,36,2015,"545,360.00",USD,"545,360.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To support the creation of a new database of clinical trials.,,Repository software,Repository service,,"Repository software, Repository service, "
openaire,RD,Direct,European Commission,https://ror.org/00k4n6c32,Public,European Organization for Nuclear Research,,Switzerland,Zenodo,,2023-06-01,2025-05-31,,,2023,429536,EUR,"459,474.66",openaire,,corda_____he::1157fc930726ef92fc56b8964a1a2e5b,EU research programme beneficiary depositing solution in Zenodo,"A specific aim of EU’s Open Science policy is to require all publicly funded research data to be FAIR (Findable, Accessible, Interoperable, Reusable) and open by default, and it’s even a contractual requirement for Horizon Europe beneficiaries. Despite large efforts, FAIR in practice is difficult for programme beneficiaries. EU has over the past 10 years funded Zenodo, an open data repository built by CERN, to help beneficiaries comply with first open access, and then open data contractual requirements. This grant capitalizes on past investments made in Zenodo and helps EC programme beneficiaries comply with the new FAIR and open science requirements, by implementing an easy go-to solution in Zenodo for beneficiaries to make data FAIR in practice.
HORIZON-ZEN’s overarching aim is to provide the EC’s programme beneficiaries with enhanced depositing services for digital research objects that are FAIR-enabling and compliant with Horizon Europe requirements, and to establish best practices for how scientific repositories can support the implementation of FAIR data principles by leading by example. This will be achieved by enhancing Zenodo with FAIR-enabling capabilities that support programme beneficiaries during the depositing of research outputs and by leveraging Zenodo’s simple and seamless user experience.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,European Commission,https://ror.org/00k4n6c32,Public,APRI - AFRICA POLICY RESEARCH PRIVATE INSTITUTE GUG,,Germany,Zenodo,,2022-09-01,2026-08-31,,,2022,3291500,EUR,"3,292,816.60",openaire,,corda_____he::1f13150b0e6e2de71bb2b9b699092b06,Biodiversity and trade: mitigating the impacts of non-food biomass global supply chains,"Despite its importance, biodiversity is at a high risk of a 6th mass extinction. Widespread trade networks spanning our globe allow consumption in one part of the world to cause biodiversity impacts elsewhere. Unfortunately, we have limited and incomplete tools for assessing the impacts of trade on biodiversity, which hampers mitigating these losses for policymakers, retailers and other stakeholders.
In BAMBOO, we want to rectify this situation with a focus on non-food biomass. We will develop models to quantify biodiversity impacts using four indicators: species richness, mean species abundance, functional diversity and ecosystem services. We will use LC-IMPACT and GLOBIO for impact categories that already exist but update them to the newest state. More importantly, we will complement them with novel impact categories to cover impacts across the terrestrial, freshwater and marine realms.
We will create a new, hybrid multiregional input-output (MRIO) model based on the well-known EXIOBASE and the biomass-specific FABIO models. This MRIO model will be linked to our impact assessment methods and the integrated assessment model IMAGE for scenario generation to assess global trade and identify potential leverage points for halting and reversing biodiversity loss now and under future scenarios. Apart from global assessments and recommendations, we will test our models on two local case studies: fishmeal production in Peru and cotton production in Tanzania.
To maximize our outreach, we plan to develop an online tool that will allow stakeholders to use all models easily. In general, our models will be freely available on Zenodo.
Overall, BAMBOO will provide comprehensive and detailed knowledge of the effects of biomass trade from land and sea on biodiversity and ecosystem services and an improved way of identifying leverage points. This will ultimately contribute to better environmental decision-making, supporting to reach science-based targets and the SDGs.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,European Commission,https://ror.org/00k4n6c32,Public,Alfred Wegener Institute for Polar and Marine Research,,Germany,Zenodo,,2023-01-01,2027-12-31,,,2023,9500360,EUR,"10,149,234.59",openaire,,corda_____he::ef3c549ce4ab72d02f0442873c432a02,High Arctic Ocean Observation System,"HiAOOS will develop, implement, and validate several ocean observing technologies to improve data collection in the ice-covered Arctic Ocean. A network of multipurpose moorings will be deployed for two years in the deep Nansen and Amundsen Basins. The network will provide point measurements of ocean and sea ice and active and passive acoustic data for several applications, including acoustic thermometry, geo-positioning of underwater floats, detection of marine mammals, geohazards and human generate noise. The mooring system will build on the successful basin wide Coordinated Arctic Acoustic Thermometry Experiment-CAATEX experiment and extend the existing Mooring Observations from the Atlantic Water Inflow Experiment (ATWAIN). A new generation of moorings will be developed where data can be transferred to the surface using ROV or winch technology. Ice buoys with new acoustic array technology will be developed for testing of underwater geo-positioning, local navigation networks for glider operations and for localization of geophysical events. These developments will advance several research infra structures with new observing technology and create new opportunities for forefront research. To unlock the capabilities of the new observing system methods and tools will be developed to analyse and visualize the observations for different applications using digital methods and technologies including machine learning. The methods and tools will be ingested into a digital platform blue Insight, and available through Zenodo. Training and use cases will use the platform to train different user groups associated with research infrastructures, research communities and technology developers. All data, methods and tools will be available following the FAIR principles. Field experiments will be carried out every summer from 2024 to 2026, and every field experiment will be assessed with respect to environemntal impact prior to the start of the experiment.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Instituto Politécnico de Viseu,,Portugal,Zenodo,,2020-01-01,2023-12-31,,,2020,158000,EUR,"176,849.40",openaire,,fct_________::dde94277fcc3602aa566cd35eba91c3b,Centre for Studies in Education and Innovation,"10.2 Summary in English for general dissemination purposes
The Centre for Studies in Education and Innovation (CI&DEI) is a R&D Unit, which has as its Main Management Institution the Polytechnic Institute of Viseu (IPV) and two partner Management Institutions, the Polytechnic Institute of Guarda (IPG) and the Polytechnic Institute of Leiria (IPL), which cooperate to develop research projects in education and socio-educational intervention within the regional contexts in which they operate.
The main research lines of CI&DEI are: i) Didactics and Teacher Training; ii) Education in Non-formal Contexts; iii) Education for Entrepreneurship; iv) Inclusive Education. These lines provide for relevant contributions at the level of pedagogical innovation, education for equity and inclusion, academic success and the promotion of citizenship in a lifelong learning context.
The CI&DEI strategic guidelines for 2018-2022 are developed around three fundamental axes: i) Approach to the local community; ii) Increase of indexed scientific production; iii) Improvement of the quality of teaching and of the training/research articulation, each one of the aforementioned axes having defined objectives.
In this four-year period, CI&DEI will be focused on fulfilling the following objectives:
i) Approach to the community
- Divulge CI&DEI within the local and regional community, namely through an Internet site (Portuguese, Spanish and English) and different social networks;
- Increase the connection to surrounding organizations for R&D in a perspective of applied research;
- Develop projects in partnership with other local organizations (School Groupings, IPSS, ONGs, among others);
- Contribute to the development of the regional context through diffusion of knowledge, innovation and technological transfer;
- Divulge research results to the community and educational agents.
ii) Increase of indexed scientific production
- Develop and/or continue projects, aiming at subsequent publication of scientific articles in specialized journals;
- Encourage scientific activity through participation in international networks and projects;
- Seek national and international funding opportunities to increase the number of projects (e.g., FEDER, POCI, ERASMUS+);
- Promote the organization of national and international scientific events;
- Facilitate the dissemination and internationalization of members' research through participation in congresses and publication of books and articles in specialized journals.
iii) Improvement of the quality of teaching and of the training/research articulation
- Promote students' initiation and integration in scientific research, seeking high quality professional training;
- Contribute to the supervision and evaluation of training programs in formal and non-formal education;
- Increase the number of partnerships with regional entities;
- Foster articulation between teaching and research systems, aiming at renewing the teaching-learning process.
10.3 Summary in English for evaluation
The Centre for Studies in Education and Innovation (CI&DEI) is a R&D Unit, which has as its Main Management Institution the Polytechnic Institute of Viseu (IPV) and two partner Management Institutions, the Polytechnic Institute of Guarda (IPG) and the Polytechnic Institute of Leiria (IPL), which cooperate to develop research projects in education and socio-educational intervention within the regional contexts in which they operate.
In pursuit of its mission, CI&DEI intends to encourage interdisciplinary network research activities through the use of various information and communication technologies in order to develop the integrated cooperation of its researchers, establish an interface of knowledge and technology transference, promote science and culture, as well as the provision of services to the community.
The dynamics of involvement and cooperation between the various institutions is ascertained by the Scientific Coordinator of the Unit and the Researchers accountable for each one of the partner Management Institutions, who ensure that mechanisms be implemented, with a view to guaranteeing the quality of the research developed and its application.
The pathway already traveled and the analysis of the variety of contributions of the integrated members of this Unit allow for the definition of the main research lines of CI&DEI: i) Didactics and Teacher Training; ii) Education in Non-formal Contexts; iii) Education for Entrepreneurship; iv) Inclusive Education. These lines show the coherence of the Unit's scientific productivity and provide relevant contributions to pedagogical innovation, education for equity and inclusion, academic success and the promotion of citizenship in a lifelong learning context.
The CI&DEI strategic guidelines for 2018-2022 are developed around three fundamental axes: i) Approach to the local community; ii) Increase of indexed scientific production; iii) Improvement of the quality of teaching and of the training/research articulation, each one of the aforementioned axes having defined objectives.
In this four-year period, CI&DEI will be focused on fulfilling the following objectives:
i) Approach to the community
- Divulge CI&DEI within the local and regional community, namely through an Internet site (Portuguese, Spanish and English) and different social networks;
- Increase the connection to surrounding organizations for R&D in a perspective of applied research;
- Develop projects in partnership with other local organizations (School Groupings, IPSS, ONGs, among others);
- Contribute to the development of the regional context through diffusion of knowledge, innovation and technological transfer;
- Divulge research results to the community and educational agents.
ii) Increase of indexed scientific production
- Develop and/or continue projects, aiming at subsequent publication of scientific articles in specialized journals;
- Encourage scientific activity through participation in international networks and projects;
- Seek national and international funding opportunities to increase the number of projects (e.g., FEDER, POCI, ERASMUS+);
- Promote the organization of national and international scientific events;
- Facilitate the dissemination and internationalization of members' research through participation in congresses and publication of books and articles in specialized journals.
iii) Improvement of the quality of teaching and of the training/research articulation
- Promote students' initiation and integration in scientific research, seeking high quality professional training;
- Contribute to the supervision and evaluation of training programs in formal and non-formal education;
- Increase the number of partnerships with regional entities;
- Foster articulation between teaching and research systems, aiming at renewing the teaching-learning process.
In order to achieve these objectives, specific actions are planned for the next
four year period at various levels:
i) internationalization of research, training and dissemination of knowledge, translated into the increase of research projects in partnership with European countries and countries from other continents, participation in international networks and associations, mobility programs and the increase of cooperation protocols;
ii) advanced training, with more than a dozen ongoing doctoral theses being co-supervised by integrated members of CI&DEI, as well as at the level of scientific initiation and student involvement in research activities, from the first years of undergraduate to master degree courses;
iii) organization of conferences, colloquia and seminars, be it at national or international level, essential for the dissemination of research results and constant knowledge updating;
iv) knowledge and technology transfer, especially for the book industry and society (teachers, students and their families) with the evaluation of didactic resources for basic education, which include the Evaluation and Certification of School Textbooks;
v) preservation, dissemination of data and research results, namely through the use of ZENODO software;
vi) promotion of scientific and technological culture, relevant domain of the activity of extension to the community of researchers, with the coordination and implementation of training sessions for teachers and other elements of the region, in collaboration with Teacher Training Centres and School Groupings of the respective districts, IPSS, ONGs, etc.;
vii) activities of particular relevance to society, of a scientific, cultural, artistic, social and economic nature, a field of activity that is very representative in terms of the variety and quantity of initiatives that researchers develop for the benefit of society. O Centro de Estudos em Educação e Inovação (CI&DEI) é uma Unidade de I&D, que tem como Instituição de Gestão Principal o Instituto Politécnico de Viseu (IPV) e duas Instituições de Gestão, o Instituto Politécnico da Guarda (IPG) e o Instituto Politécnico de Leiria (IPL), que cooperam no sentido de desenvolverem projetos de investigação em educação e intervenção socioeducativa nos contextos regionais em que operam.
As principais linhas de investigação do CI&DEI são: i) Didáticas e Formação de Professores; ii) Educação em Contextos Não Formais; iii) Educação para o Empreendedorismo; iv) Educação Inclusiva. Estas apresentam relevantes contributos ao nível da inovação pedagógica, da educação para a equidade e inclusão, do sucesso académico e da promoção da cidadania num contexto de aprendizagem ao longo da vida.
As diretrizes estratégicas do CI&DEI para 2018-22 desenvolvem-se em torno de três eixos fundamentais: i) Aproximação à comunidade local; ii) Aumento da produção científica indexada; iii) Melhoria da qualidade do ensino e da articulação formação/investigação, cada um deles com objetivos definidos.
Neste quadriénio, o CI&DEI está focado no cumprimento dos seguintes objetivos:
i) Aproximação à comunidade
- Divulgar o CI&DEI na comunidade local e regional, nomeadamente através de um portal na Internet e de diferentes redes sociais;
- Aumentar a ligação a organizações do meio envolvente numa perspetiva de investigação aplicada;
- Desenvolver projetos em parceria com outras organizações locais (e.g.,Agrupamentos de Escolas,IPSS,ONGs);
- Contribuir para o desenvolvimento do contexto regional através da difusão de conhecimento, inovação e transferência de tecnologia;
- Divulgar os resultados da investigação junto da comunidade e dos agentes de educação.
ii) Aumento da produção científica indexada
- Desenvolver e/ou dar continuidade a projetos de investigação, com vista à posterior publicação de artigos científicos em revistas da especialidade;
- Incentivar a atividade científica através da participação em redes e projetos internacionais;
- Procurar oportunidades de financiamento nacionais e internacionais com vista a aumentar o número de projetos de investigação (e.g.,FEDER,POCI,ERASMUS+);
- Promover a organização de eventos científicos nacionais e internacionais;
- Facilitar a divulgação e internacionalização da investigação dos membros, através da participação em congressos e publicação de livros e artigos em revistas da especialidade.
iii) Melhoria da qualidade do ensino e da articulação formação/investigação
- Promover a iniciação e integração dos estudantes na investigação científica, procurando uma formação profissional de alto nível;
- Contribuir para a supervisão e avaliação de programas de formação, no âmbito da educação formal e não formal;
- Incrementar o número de parcerias com entidades regionais;
- Fomentar a articulação entre os sistemas de ensino e de investigação, numa perspetiva de renovação do processo de ensino-aprendizagem.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Instituto Politécnico de Viseu,,Portugal,Zenodo,,2020-01-01,2023-12-31,,,2020,886600,EUR,"992,371.38",openaire,,fct_________::19e9aa2c4d4ab437c3c1fbf469884875,Centre for Studies in Education and Innovation,"10.2 Summary in English for general dissemination purposes
The Centre for Studies in Education and Innovation (CI&DEI) is a R&D Unit, which has as its Main Management Institution the Polytechnic Institute of Viseu (IPV) and two partner Management Institutions, the Polytechnic Institute of Guarda (IPG) and the Polytechnic Institute of Leiria (IPL), which cooperate to develop research projects in education and socio-educational intervention within the regional contexts in which they operate.
The main research lines of CI&DEI are: i) Didactics and Teacher Training; ii) Education in Non-formal Contexts; iii) Education for Entrepreneurship; iv) Inclusive Education. These lines provide for relevant contributions at the level of pedagogical innovation, education for equity and inclusion, academic success and the promotion of citizenship in a lifelong learning context.
The CI&DEI strategic guidelines for 2018-2022 are developed around three fundamental axes: i) Approach to the local community; ii) Increase of indexed scientific production; iii) Improvement of the quality of teaching and of the training/research articulation, each one of the aforementioned axes having defined objectives.
In this four-year period, CI&DEI will be focused on fulfilling the following objectives:
i) Approach to the community
- Divulge CI&DEI within the local and regional community, namely through an Internet site (Portuguese, Spanish and English) and different social networks;
- Increase the connection to surrounding organizations for R&D in a perspective of applied research;
- Develop projects in partnership with other local organizations (School Groupings, IPSS, ONGs, among others);
- Contribute to the development of the regional context through diffusion of knowledge, innovation and technological transfer;
- Divulge research results to the community and educational agents.
ii) Increase of indexed scientific production
- Develop and/or continue projects, aiming at subsequent publication of scientific articles in specialized journals;
- Encourage scientific activity through participation in international networks and projects;
- Seek national and international funding opportunities to increase the number of projects (e.g., FEDER, POCI, ERASMUS+);
- Promote the organization of national and international scientific events;
- Facilitate the dissemination and internationalization of members' research through participation in congresses and publication of books and articles in specialized journals.
iii) Improvement of the quality of teaching and of the training/research articulation
- Promote students' initiation and integration in scientific research, seeking high quality professional training;
- Contribute to the supervision and evaluation of training programs in formal and non-formal education;
- Increase the number of partnerships with regional entities;
- Foster articulation between teaching and research systems, aiming at renewing the teaching-learning process.
10.3 Summary in English for evaluation
The Centre for Studies in Education and Innovation (CI&DEI) is a R&D Unit, which has as its Main Management Institution the Polytechnic Institute of Viseu (IPV) and two partner Management Institutions, the Polytechnic Institute of Guarda (IPG) and the Polytechnic Institute of Leiria (IPL), which cooperate to develop research projects in education and socio-educational intervention within the regional contexts in which they operate.
In pursuit of its mission, CI&DEI intends to encourage interdisciplinary network research activities through the use of various information and communication technologies in order to develop the integrated cooperation of its researchers, establish an interface of knowledge and technology transference, promote science and culture, as well as the provision of services to the community.
The dynamics of involvement and cooperation between the various institutions is ascertained by the Scientific Coordinator of the Unit and the Researchers accountable for each one of the partner Management Institutions, who ensure that mechanisms be implemented, with a view to guaranteeing the quality of the research developed and its application.
The pathway already traveled and the analysis of the variety of contributions of the integrated members of this Unit allow for the definition of the main research lines of CI&DEI: i) Didactics and Teacher Training; ii) Education in Non-formal Contexts; iii) Education for Entrepreneurship; iv) Inclusive Education. These lines show the coherence of the Unit's scientific productivity and provide relevant contributions to pedagogical innovation, education for equity and inclusion, academic success and the promotion of citizenship in a lifelong learning context.
The CI&DEI strategic guidelines for 2018-2022 are developed around three fundamental axes: i) Approach to the local community; ii) Increase of indexed scientific production; iii) Improvement of the quality of teaching and of the training/research articulation, each one of the aforementioned axes having defined objectives.
In this four-year period, CI&DEI will be focused on fulfilling the following objectives:
i) Approach to the community
- Divulge CI&DEI within the local and regional community, namely through an Internet site (Portuguese, Spanish and English) and different social networks;
- Increase the connection to surrounding organizations for R&D in a perspective of applied research;
- Develop projects in partnership with other local organizations (School Groupings, IPSS, ONGs, among others);
- Contribute to the development of the regional context through diffusion of knowledge, innovation and technological transfer;
- Divulge research results to the community and educational agents.
ii) Increase of indexed scientific production
- Develop and/or continue projects, aiming at subsequent publication of scientific articles in specialized journals;
- Encourage scientific activity through participation in international networks and projects;
- Seek national and international funding opportunities to increase the number of projects (e.g., FEDER, POCI, ERASMUS+);
- Promote the organization of national and international scientific events;
- Facilitate the dissemination and internationalization of members' research through participation in congresses and publication of books and articles in specialized journals.
iii) Improvement of the quality of teaching and of the training/research articulation
- Promote students' initiation and integration in scientific research, seeking high quality professional training;
- Contribute to the supervision and evaluation of training programs in formal and non-formal education;
- Increase the number of partnerships with regional entities;
- Foster articulation between teaching and research systems, aiming at renewing the teaching-learning process.
In order to achieve these objectives, specific actions are planned for the next
four year period at various levels:
i) internationalization of research, training and dissemination of knowledge, translated into the increase of research projects in partnership with European countries and countries from other continents, participation in international networks and associations, mobility programs and the increase of cooperation protocols;
ii) advanced training, with more than a dozen ongoing doctoral theses being co-supervised by integrated members of CI&DEI, as well as at the level of scientific initiation and student involvement in research activities, from the first years of undergraduate to master degree courses;
iii) organization of conferences, colloquia and seminars, be it at national or international level, essential for the dissemination of research results and constant knowledge updating;
iv) knowledge and technology transfer, especially for the book industry and society (teachers, students and their families) with the evaluation of didactic resources for basic education, which include the Evaluation and Certification of School Textbooks;
v) preservation, dissemination of data and research results, namely through the use of ZENODO software;
vi) promotion of scientific and technological culture, relevant domain of the activity of extension to the community of researchers, with the coordination and implementation of training sessions for teachers and other elements of the region, in collaboration with Teacher Training Centres and School Groupings of the respective districts, IPSS, ONGs, etc.;
vii) activities of particular relevance to society, of a scientific, cultural, artistic, social and economic nature, a field of activity that is very representative in terms of the variety and quantity of initiatives that researchers develop for the benefit of society. O Centro de Estudos em Educação e Inovação (CI&DEI) é uma Unidade de I&D, que tem como Instituição de Gestão Principal o Instituto Politécnico de Viseu (IPV) e duas Instituições de Gestão, o Instituto Politécnico da Guarda (IPG) e o Instituto Politécnico de Leiria (IPL), que cooperam no sentido de desenvolverem projetos de investigação em educação e intervenção socioeducativa nos contextos regionais em que operam.
As principais linhas de investigação do CI&DEI são: i) Didáticas e Formação de Professores; ii) Educação em Contextos Não Formais; iii) Educação para o Empreendedorismo; iv) Educação Inclusiva. Estas apresentam relevantes contributos ao nível da inovação pedagógica, da educação para a equidade e inclusão, do sucesso académico e da promoção da cidadania num contexto de aprendizagem ao longo da vida.
As diretrizes estratégicas do CI&DEI para 2018-22 desenvolvem-se em torno de três eixos fundamentais: i) Aproximação à comunidade local; ii) Aumento da produção científica indexada; iii) Melhoria da qualidade do ensino e da articulação formação/investigação, cada um deles com objetivos definidos.
Neste quadriénio, o CI&DEI está focado no cumprimento dos seguintes objetivos:
i) Aproximação à comunidade
- Divulgar o CI&DEI na comunidade local e regional, nomeadamente através de um portal na Internet e de diferentes redes sociais;
- Aumentar a ligação a organizações do meio envolvente numa perspetiva de investigação aplicada;
- Desenvolver projetos em parceria com outras organizações locais (e.g.,Agrupamentos de Escolas,IPSS,ONGs);
- Contribuir para o desenvolvimento do contexto regional através da difusão de conhecimento, inovação e transferência de tecnologia;
- Divulgar os resultados da investigação junto da comunidade e dos agentes de educação.
ii) Aumento da produção científica indexada
- Desenvolver e/ou dar continuidade a projetos de investigação, com vista à posterior publicação de artigos científicos em revistas da especialidade;
- Incentivar a atividade científica através da participação em redes e projetos internacionais;
- Procurar oportunidades de financiamento nacionais e internacionais com vista a aumentar o número de projetos de investigação (e.g.,FEDER,POCI,ERASMUS+);
- Promover a organização de eventos científicos nacionais e internacionais;
- Facilitar a divulgação e internacionalização da investigação dos membros, através da participação em congressos e publicação de livros e artigos em revistas da especialidade.
iii) Melhoria da qualidade do ensino e da articulação formação/investigação
- Promover a iniciação e integração dos estudantes na investigação científica, procurando uma formação profissional de alto nível;
- Contribuir para a supervisão e avaliação de programas de formação, no âmbito da educação formal e não formal;
- Incrementar o número de parcerias com entidades regionais;
- Fomentar a articulação entre os sistemas de ensino e de investigação, numa perspetiva de renovação do processo de ensino-aprendizagem.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,,,Portugal,Zenodo,,2021-09-13,2023-07-31,,,2021,374.93,EUR,441.67,openaire,,fct_________::5ed102ef2d9e7e2d1c22aae0a4148972,Optimization of flow electrode channel geometry to boost recovery of lithium from brines by flow capacitive deionization,"Lithium is becoming an essential metal due to its application in lithium-ion batteries; however, its recovery from land resources is geographically limited and not environmentally friendly. Alternatively, lithium can be extracted from brines, but the so far proposed processes have low efficiency and are intermittent. To increase the recovery degree of lithium from brines, and to make the process continuous, we are developing and integrating lithium selective membranes into a flow-electrode capacitive deionization (FCDI) device.
FCDI is a new and promising desalination technology (proposed for the first time in 2013) at which flow electrodes (carbon slurries) are used to remove ions from saline water based on the electro-sorption principle. FCDI performance depends on operation conditions, cell architecture and physical properties of its components (membranes and flow electrodes). It is imperative to establish efficient percolation paths and to facilitate the formation of electric double layer inside pores of carbon particles by promoting a frequent contact/collision between them and with the current collector and the membrane. Thus, the geometry of flow electrode channels is one of the most important aspects to be optimised in FCDI. Furthermore, since flow electrodes behave like a pseudoplastic fluid, their viscosity decreases with the increase of shear rate, hence the geometry of the channels also strongly influence their flowability.
We already performed experimental tests for three geometries: open and serpentine with 4 and 16 cm long segments. The gaskets were manufactured by our 3D printer/CNC milling machine, which gives us freedom to explore different designs. Flow electrodes with 5 to 20 wt. % of commercial activated carbon were prepared. Electrochemical and rheological studies were carried out to measure the specific capacitance and viscosity of flow electrodes. Results of desalination tests revealed that salt adsorption capacity at FCDI cell with short serpentine channels was the highest one (16.44 mg/g), while long serpentine channels quickly clogged after less than 5 charging/discharging cycles.
To elucidate these results, we performed CFD studies using open-source OpenFOAM v.7 software. The local viscosity values were calculated by implementing the Ostwald-de Waele relationship. CFD simulations showed that the geometry of channels has a strong impact on the internal pressure drop, local shear rate and the rheology of flow electrodes, thus on their flowability. For example, it was seen that the viscosity of flow electrodes in the middle of the channel increases with the increase of channel length, which explains why 16 cm long channels clogged in the experimental tests.
Moreover, CFD simulations also revealed that none of the studied geometries (which are the ones more frequently used) provide an efficient mixing of flow electrodes, contrary to the observed when water is used. Thus, it is imperative to propose and study alternative channel designs when using flow electrodes.
Currently, we are exploring the concept of fluidic oscillators, based on formation of the Coanda effect, and the use of three-dimensional fractal designs, as novel flow electrode channels. However, since such geometries induce formation of transient phenomena, it is no longer possible to perform CFD simulations in steady state, which increases computation time. Thus, to perform an efficient pre-screening of solvers/conditions to be used, and to perform such simulations, preferably in a full 3D mode in order to achieve accurate results, the use of advanced computational resources of the National Network for Advanced Computing becomes essential.
Publications resulting from this work will be deposited in open access at the repository of the Universidade NOVA (RUN), which integrates RCAAP network, while the computational codes, scripts, log files, etc, will be available at Zenodo repository following the FAIR principles.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,,,Portugal,Zenodo,,2022-07-21,2023-07-31,,,2022,1308.08,EUR,"1,334.11",openaire,,fct_________::8035279d328d3593fd79b99c50cf3a90,CFD assisted design of flow electrodes channels for lithium recovery from brines by flow capacitive deionization,"Lithium is becoming an essential metal in the global economy due to its application in lithium-ion batteries; however, its recovery from land resources is geographically limited and requires harsh environment conditions. Lithium extraction from saline brines and seawater can be an opportunity to explore almost unlimited lithium source, however, the so far proposed extraction processes have low efficiency and are intermittent.
To increase the recovery degree of lithium from brines, and to make the process continuous, we are developing lithium selective membranes to be integrated into a 3D printed flow-electrode capacitive deionization (FCDI) device. FCDI is a new desalination technology at which flow electrodes (e.g., carbon slurries) are used to remove ions from saline streams based on the electro-sorption principle. The process is sustainable and environmentally friendly as it uses electricity as the driving force. Furthermore, flow electrodes can be recirculated and regenerated in a loop arrangement between cathode and anode, which allows for increasing salts removal and makes the process continuous.
However, we found out, based on preliminary experimental and computational results, that there is no mixing of carbon slurries in channels with the so far used geometries.
Tests were performed for three geometries: open and serpentine with 4 and 16 cm long segments. Flow electrodes with 5 to 20 wt. % of commercial activated carbon were prepared. Electrochemical and rheological studies were carried out to measure the specific capacitance and viscosity of flow electrodes. Desalination tests revealed that salt adsorption capacity at FCDI cell with short serpentine channels was the highest one (16.44 mg/g), while long serpentine channels quickly clogged after less than 5 charging/discharging cycles.
To elucidate these results, we performed steady-state CFD simulations at a personal computer using open-source OpenFOAM v.7 software. The local viscosity values were calculated by implementing the Ostwald-de Waele relationship. CFD simulations showed that the geometry of channels has a strong impact on the internal pressure drop, local shear rate and the rheology of flow electrodes, thus on their flowability. For example, it was seen that the viscosity of flow electrodes in the middle of the channel increases with the increase of channel length, which explains why 16 cm long channels clogged in the experimental tests.
Moreover, CFD simulations also revealed that none of the studied geometries (which are the ones more frequently used) provide an efficient mixing of flow electrodes, contrary to the observed when water was used. Thus, it is imperative to propose and study alternative channel designs when using flow electrodes in order to establish efficient percolation paths and to promote a frequent contact/collision of carbon particles between them and with the current collector and the membrane.
So far, we used computational resources of the National Network for Advanced Computing (RNCA) in the frame of an A0 project (CPCA/A0/401985/2021) to familiarize ourselves with high performance computing (HPC), to perform steady-state simulations at different flow rates, as well as to optimise parallel computing of our simulations. We tested different methods of parallelization, number of processors, initial conditions, and numerical schemes (bounded and unbounded). In this A1 project, we would like to move forward with simulations of novel designs of flow electrodes, as well as to perform transient simulations to obtain residence time distribution (RTD) curves, thus the use of advanced computational resources of the RNCA becomes essential.
Publications resulting from this work will be deposited in open access at the repository of the Universidade NOVA (RUN), which integrates RCAAP network, while the computational codes, scripts, log files, etc, will be available at Zenodo repository following the FAIR principles.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,STRAT,Direct,Hewlett Foundation,https://ror.org/04hd1y677,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2015,20,2015,"100,000.00",USD,"100,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,For A Planning Grant Supporting Greater Participation Of African Scholars In Research Transparency,"The Center for Open Science (COS) seeks to promote openness, integrity and reproducibility of research. It offers free, open source products and services that support the research life cycle and improve the reproducibility of research findings. Current efforts in the area of research transparency have focused on Western researchers. African scholars are being increasingly left behind as they are not being exposed to new best practices.This project would provide a planning grant for COS to test approaches for bringing their services to African researchers. COS will pilot three interventions and use the results from these pilots and input from its advisory board to develop a strategic plan for expanding their services to Africa.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Internet Archive,,United States,OSF (Open Science Framework),,2018-10-01,2019-09-30,,,2018,248247,USD,"248,247.00",imls.gov,https://www.imls.gov/grants/awarded/lg-36-19-0113-19,imls:log_number::LG-36-19-0113-19,,"The Internet Archive and the Center for Open Science (COS) will prototype innovative social and technical work supporting open science data curation, preservation, and access by libraries and archives. The project will begin by piloting registrations in the COS' Open Science Framework (OSF). It will then pursue technical work for the distribution of this data across additional preservation networks to expand its availability to librarians for curation. The project will then provide related training to a cohort of data stewards, conduct exploratory work to include additional OSF datasets, and test library services supporting bulk access to this data for computational analysis by researchers. These deliverables will develop expertise, prototype interoperability, and expand access methods for an institutionally and technically distributed open data network. The work enables research reproducibility, distributed preservation, and perpetual access, with the goal of uniting researchers and data librarians in the broader mission of open data archiving.",National Leadership Grants - Libraries,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,ADJ,Indirect,National Institutes of Health,https://ror.org/01cwqze88,Public,Center for Open Science,,United States,OSF (Open Science Framework),,,,2018,24,2018,"197,445.00",USD,"197,445.00",Foundation data as reported in IOI report,,5R24AG048124-05 ,Community developing and supporting practices to increase replicability of scient,"DESCRIPTION (provided by applicant): Replicability is a core value of science to assure that the knowledge is valid. However, the culture of scientific incentives and rewards prioritizes innovation almost exclusively at the expense of replication and verification. This project supports developing a community to shift incentives so that replicability is rewarded in aging research and social-behavioral sciences more generally. The community will create, evaluate, and disseminate four projects that could shift incentives to improve replicability. The four projects are: (1) Badges to acknowledge and reward open practices: Currently, scientists earn reputation and reward for publishing their research in journals. Replicability is enhanced if other scientists can access the materials and data that were the basis for the published research. The proposed badges will attach to articles to reward authors for making their research openly available to others. (2) Disclosure standards: The replicability of research is partly contingent on how the evidence was obtained. There are some things that every report should disclose. For example: how the sample size was determined, whether there were other measures not reported, and whether the results are dependent on other measures used in the analysis. (3) Registered reports: Researchers do not conduct replications because they are hard to publish. Registered reports will introduce a publishing format in which the study design is reviewed before the data are collected. This is good for replication research because researchers can find out before the effort of data collection if the study will be publishable. (4) Checklists for research workflow: Science is complex. It is easy to forget or fail to include important information in a report, or t check for particular things when being a reviewer or editor. Checklists can be useful guides for making sure particular practices are followed.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,ADJ,Indirect,National Institutes of Health,https://ror.org/01cwqze88,Public,Center for Open Science,,United States,OSF (Open Science Framework),,,,2014,12,2014,"215,148.00",USD,"215,148.00",Foundation data as reported in IOI report,,1R24AG048124-01 ,Community developing and supporting practices to increase replicability of scient,"DESCRIPTION (provided by applicant): Replicability is a core value of science to assure that the knowledge is valid. However, the culture of scientific incentives and rewards prioritizes innovation almost exclusively at the expense of replication and verification. This project supports developing a community to shift incentives so that replicability is rewarded in aging research and social-behavioral sciences more generally. The community will create, evaluate, and disseminate four projects that could shift incentives to improve replicability. The four projects are: (1) Badges to acknowledge and reward open practices: Currently, scientists earn reputation and reward for publishing their research in journals. Replicability is enhanced if other scientists can access the materials and data that were the basis for the published research. The proposed badges will attach to articles to reward authors for making their research openly available to others. (2) Disclosure standards: The replicability of research is partly contingent on how the evidence was obtained. There are some things that every report should disclose. For example: how the sample size was determined, whether there were other measures not reported, and whether the results are dependent on other measures used in the analysis. (3) Registered reports: Researchers do not conduct replications because they are hard to publish. Registered reports will introduce a publishing format in which the study design is reviewed before the data are collected. This is good for replication research because researchers can find out before the effort of data collection if the study will be publishable. (4) Checklists for research workflow: Science is complex. It is easy to forget or fail to include important information in a report, or t check for particular things when being a reviewer or editor. Checklists can be useful guides for making sure particular practices are followed.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,ADJ,Indirect,National Institutes of Health,https://ror.org/01cwqze88,Public,Center for Open Science,,United States,OSF (Open Science Framework),,,,2017,12,2017,"223,838.00",USD,"223,838.00",Foundation data as reported in IOI report,,5R24AG048124-04 ,Community developing and supporting practices to increase replicability of scient,"DESCRIPTION (provided by applicant): Replicability is a core value of science to assure that the knowledge is valid. However, the culture of scientific incentives and rewards prioritizes innovation almost exclusively at the expense of replication and verification. This project supports developing a community to shift incentives so that replicability is rewarded in aging research and social-behavioral sciences more generally. The community will create, evaluate, and disseminate four projects that could shift incentives to improve replicability. The four projects are: (1) Badges to acknowledge and reward open practices: Currently, scientists earn reputation and reward for publishing their research in journals. Replicability is enhanced if other scientists can access the materials and data that were the basis for the published research. The proposed badges will attach to articles to reward authors for making their research openly available to others. (2) Disclosure standards: The replicability of research is partly contingent on how the evidence was obtained. There are some things that every report should disclose. For example: how the sample size was determined, whether there were other measures not reported, and whether the results are dependent on other measures used in the analysis. (3) Registered reports: Researchers do not conduct replications because they are hard to publish. Registered reports will introduce a publishing format in which the study design is reviewed before the data are collected. This is good for replication research because researchers can find out before the effort of data collection if the study will be publishable. (4) Checklists for research workflow: Science is complex. It is easy to forget or fail to include important information in a report, or t check for particular things when being a reviewer or editor. Checklists can be useful guides for making sure particular practices are followed.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,ADJ,Indirect,National Institutes of Health,https://ror.org/01cwqze88,Public,Center for Open Science,,United States,OSF (Open Science Framework),,,,2016,12,2016,"227,898.00",USD,"227,898.00",Foundation data as reported in IOI report,,5R24AG048124-03 ,Community developing and supporting practices to increase replicability of scient,"DESCRIPTION (provided by applicant): Replicability is a core value of science to assure that the knowledge is valid. However, the culture of scientific incentives and rewards prioritizes innovation almost exclusively at the expense of replication and verification. This project supports developing a community to shift incentives so that replicability is rewarded in aging research and social-behavioral sciences more generally. The community will create, evaluate, and disseminate four projects that could shift incentives to improve replicability. The four projects are: (1) Badges to acknowledge and reward open practices: Currently, scientists earn reputation and reward for publishing their research in journals. Replicability is enhanced if other scientists can access the materials and data that were the basis for the published research. The proposed badges will attach to articles to reward authors for making their research openly available to others. (2) Disclosure standards: The replicability of research is partly contingent on how the evidence was obtained. There are some things that every report should disclose. For example: how the sample size was determined, whether there were other measures not reported, and whether the results are dependent on other measures used in the analysis. (3) Registered reports: Researchers do not conduct replications because they are hard to publish. Registered reports will introduce a publishing format in which the study design is reviewed before the data are collected. This is good for replication research because researchers can find out before the effort of data collection if the study will be publishable. (4) Checklists for research workflow: Science is complex. It is easy to forget or fail to include important information in a report, or t check for particular things when being a reviewer or editor. Checklists can be useful guides for making sure particular practices are followed.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,ADJ,Indirect,National Institutes of Health,https://ror.org/01cwqze88,Public,Center for Open Science,,United States,OSF (Open Science Framework),,,,2015,12,2015,"228,656.00",USD,"228,656.00",Foundation data as reported in IOI report,,5R24AG048124-02 ,Community developing and supporting practices to increase replicability of scient,"DESCRIPTION (provided by applicant): Replicability is a core value of science to assure that the knowledge is valid. However, the culture of scientific incentives and rewards prioritizes innovation almost exclusively at the expense of replication and verification. This project supports developing a community to shift incentives so that replicability is rewarded in aging research and social-behavioral sciences more generally. The community will create, evaluate, and disseminate four projects that could shift incentives to improve replicability. The four projects are: (1) Badges to acknowledge and reward open practices: Currently, scientists earn reputation and reward for publishing their research in journals. Replicability is enhanced if other scientists can access the materials and data that were the basis for the published research. The proposed badges will attach to articles to reward authors for making their research openly available to others. (2) Disclosure standards: The replicability of research is partly contingent on how the evidence was obtained. There are some things that every report should disclose. For example: how the sample size was determined, whether there were other measures not reported, and whether the results are dependent on other measures used in the analysis. (3) Registered reports: Researchers do not conduct replications because they are hard to publish. Registered reports will introduce a publishing format in which the study design is reviewed before the data are collected. This is good for replication research because researchers can find out before the effort of data collection if the study will be publishable. (4) Checklists for research workflow: Science is complex. It is easy to forget or fail to include important information in a report, or t check for particular things when being a reviewer or editor. Checklists can be useful guides for making sure particular practices are followed.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,ADJ,Indirect,National Institutes of Health,https://ror.org/01cwqze88,Public,Center for Open Science,,United States,OSF (Open Science Framework),,,,2020,24,2020,"329,193.00",USD,"329,193.00",Foundation data as reported in IOI report,,2R24AG048124-06 ,Community developing and supporting practices to increase replicability of scientific research,"Project Summary/Abstract Center for Open Science RFA-AG-19-015 The Center for Open Science (COS) will soon complete our NIH-supported grant to establish reproducibility networks to advance open practices (Phase 1). In Phase 1 COS engaged research stakeholder networks to establish and market three products to accelerate reproducibility in the social and behavioral sciences: (1) badges to acknowledge open practices (Kidwell et al., 2016), (2) Transparency and Openness Promotion (TOP) Guidelines as a policy framework (Nosek et al., 2015), and (3) Registered Reports, a publishing model in which initial peer review is conducted prior to observing the research outcomes (Nosek & Lakens, 2014). All three have contributed to substantial progress in awareness and changes in policies, incentives, and norms promoting open practices. With a 5-year grant renewal (Phase 2), COS will extend the impact of Phase 1 networks and activate new research communities to test, implement, evaluate, and improve standards and workflows to increase openness and reproducibility of research, remove barriers to behavior change, and facilitate widespread adoption of behaviors such as preregistration, and open data, materials and code. COS will deepen the level of engagement among the networks we fostered in Phase 1 and add new research networks such as the Max Planck Institute for Human Development, the Health Research Alliance and the International Max Planck Research School on the Life Course, to test, implement, evaluate, and improve the standards and supporting workflows needed to enact open science behaviors. In particular, we will accelerate adoption of preregistration and the sharing of data, materials, and code by engaging these research communities in an iterative feedback and evaluation cycle to improve the policies and workflows. While preregistration is relatively easy to apply to experimental research in which the data does not yet exist (e.g., randomized trials), preregistration workflows have yet to be created or tested to improve the rigor of observational (correlational) research, longitudinal studies, qualitative research, and working with existing datasets. These scenarios are common across a variety of disciplines, particularly aging research. And yet, translating the standards and workflows to support preregistration in such circumstances requires attention to the details of the methodology, data, and analysis pipeline (Nosek et al., 2018). COS maintains open-source infrastructure, called OSF (http://osf.io/), that facilitates customization of study registration workflows and submission of data, materials, and code for open or controlled sharing based on the needs of particular disciplines or methodologies. Ultimately, our efforts to organize design, test, and evaluate customized solutions with the research communities that contribute to aging research (e.g., psychology, neuroscience, sociology, political science, and epidemiology) will result in widespread adoption of open science behaviors.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,NORTHWESTERN UNIVERSITY AT CHICAGO,,United States,Zenodo,,2022-09-12,2026-05-31,,,2022,365909,USD,"365,909.00",openaire,,nih_________::977415afeb88bf7539485fe2580ccc16,Zenodo and the Generalist Repository Ecosystem Initiative (GREI),,,Repository software,Repository service,,"Repository software, Repository service, "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,,,United States,Zenodo,,2022-09-12,2026-05-31,,,2022,374304,USD,"374,304.00",openaire,,nih_________::16e2a74a10c64d9a4b9a47f27c7fed02,Zenodo and the Generalist Repository Ecosystem Initiative (GREI),,,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Berkeley,,United States,Zenodo,Carl Boettiger,2015-10-01,2018-09-30,,,2015,165782,USD,"165,782.00",nsf,,1549758,Codemeta: A Rosetta Stone for Metadata in Scientific Software,"<br/>Software is critical to robust and efficient scientific discovery across disciplines, and yet is rarely valued or even understood. Researchers need to be able to discover and understand scientific software to apply it to their projects, but the approaches for documenting software are typically language specific and not interoperable. This project will have a broad impact on multiple disciplines by increasing the interoperability and consistency of software descriptions and by providing examples that illustrate the utility of interoperable software repositories for citation, discovery, archiving and preservation of scientific software. Research relies heavily on scientific software, and a large and growing fraction of researchers must now develop custom software to conduct their own research. Despite this, infrastructure to support the preservation, discovery, reuse, and attribution of software lags substantially behind that of other research products such as journal articles and research data. This frustrates the progress of science in several ways: lacking a way to discover and access software written by other researchers means that multiple teams must re-invent the same wheel. Limited re-use or accreditation of software also discourages researchers from investing more time to improve the performance, reliability or usability of the software they write. This lag is driven not so much by a lack of technology as it is by a lack of unity: existing mechanisms to archive, document, index, share, discover, and cite software contributions are varied among research disciplines and among software archives, and rarely consistent with best practices. The project will convene key stakeholders from software and data repositories to address this issue by aligning existing software metadata approaches. This alignment of software documentation will increase the efficiency and scale or research across disciplines, and simplify the process for researchers to collaborate on interdisciplinary projects.<br/><br/>This project will have three distinct phases:<br/><br/>1. Define a crosswalk table between exiting metadata schema for software<br/>2. Develop prototype applications illustrating the value of crosswalk metadata<br/>3. Assess and communicate impact of results.<br/><br/>The researchers will convene a meeting of repository and science stakeholders to harmonize approaches to software metadata. Rather than try and define yet another standard, they will map the correspondences between standards already in use -- a Rosetta stone of software metadata. In this process, the investigators will identify metadata use cases that have guided existing software metadata descriptions (e.g. more or different metadata may be needed to install software than to cite it, and even more to extend it), and then agree upon which metadata concepts are needed for each use case. This phase will identify some use cases that are not fully supported by existing software repositories (for instance, Zenodo is interested in associating software with funders as a use case but does not recognize funder identifiers yet). This will set the stage for the second phase where the crosswalk table will be used to harmonize the implementation of software metadata in three major repositories that support software deposition (KNB, Zenodo, Figshare). The researchers will modify the software and provenance metadata terms used in the DataONE federation to be interoperable with the crosswalk, and create a tool for generating and uploading software with this metadata to the KNB repository (a member repository of DataONE). Collaborators will extend the existing integration between the software repository GitHub and the data repositories Zenodo and figshare to provide interoperable software metadata. In the final phase, the team will conduct an assessment with researchers at a relevant scientific meeting to evaluate the effectiveness of the crosswalk for the identified software use cases and will summarize results in a scientific paper.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,New York University,,United States,OSF (Open Science Framework),Karen Adolph,2016-09-15,2019-08-31,,,2016,293783,USD,"293,783.00",nsf,,1627993,NSF/SBE-BSF: Neural patterns underlying the development of planning in action production and anticipation in action perception,"A remarkable aspect of motor skill is the ability to plan actions flexibly and purposefully using a variety of objects. We achieve this by planning our initial contact with the object with the end goal in mind, even when the end goal requires multiple steps to be achieved. Thus, the process of action planning involves integration of perception, cognition, and motor behavior. Presumably, a similar integrative process occurs when we anticipate other people's goals while observing them perform actions. Previous work shows that action planning begins in infancy and improves with age, but little is known about the accompanying brain activity that underlies these age-related improvements. This interdisciplinary study combines concepts, methods, and analytic techniques from developmental psychology, neuroscience, and computer science to understand age-related changes in action planning while children 1) perform an action with multiple steps to the goal and 2) while they observe someone else perform the action. The research uses a novel combination of recording methods for children: Video, eye tracking, motion tracking, and electroencephalography (EEG) will be recorded simultaneously. The methods and data will advance the field through open sharing of the research videos and physiological data in the Databrary repository. Algorithms and analysis techniques will be shared in the Open Science Framework.
The investigators combine behavioral measures, neural activity recordings, and machine-learning techniques in order to understand how children and adults 1) perform complex motor tasks that involve anticipation of the end-goal and 2) passively observe others performing tasks that involve multi-step action planning in anticipation of the end-goal. Analyses of action performance will focus on the neural correlates of behavior at different stages of planning and will assess whether neural activity prior to beginning a movement can predict trial-to-trial behavioral variability in young children's ability to plan. Analyses of action observation will investigate age differences in neural activity while observing others performing actions that do, or do not, show evidence of long-range planning. The investigators will also compare the neurophysiological signatures of anticipation during passive action observation and during action performance. These findings will inform our understanding of the development of action planning across childhood. The multi-modal recording methods and the advanced multivariate analytic techniques will pave the way for research in STEM and other disciplines to explore developmental changes in children's brain and behavior.
This award is made as part of the NSF/BSF Opportunity for Collaborations in Economics and Psychology.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Connecticut,,United States,OSF (Open Science Framework),Christine Kirchhoff,2022-01-01,2025-12-31,,,2022,1599997,USD,"1,599,997.00",nsf,,2108917,"DISES: Coproducing Actionable Science to Understand, Mitigate, and Adapt to Cyanobacterial Harmful Algal Blooms (CHABS)","Despite large investments in improving water quality efforts worldwide, cyanobacterial harmful algal blooms (CHABS) remain common and are getting worse. CHABs can produce toxins, which can sicken or kill humans and animals, impair recreational opportunities, and threaten the supply of drinking and irrigation water for millions of people worldwide. Improving water quality and reducing CHABs is vital for society and a healthy environment. Fundamental gaps in knowledge of this complex socio-environmental system (SES) limit our ability to fully understand the problem, assess response actions, and motivate and support transformative change. This DISES award supports research addressing critical knowledge gaps around the role of nutrient pollution in determining the size and toxin concentrations of CHABs, the promotion of farmer collective action, the economic benefits of water quality improvements, and improving SES governance. The investigators will address these gaps through improved watershed simulation and integrated economic and hydrologic modeling, advances in SES science and theory for water quality governance, and improved capacity for transforming SES through actionable knowledge to support CHABs decision making. Results will inform national integrated assessment models of nutrient pollution, and the guidance produced will inform management in other eutrophic waterbodies impacted by agriculture. This research will train the next generation of interdisciplinary SES scholars and practitioners including two postdoctoral scientists and seven graduate and at least eight undergraduate students. The team will involve more than 100 students in outreach. Multiple datasets will be made available on the Open Science Framework, and these will also be used to develop CHABs SES curricula that will benefit teachers and students in grades 5-12. The curricula will be distributed through the Teaching Channel and the daVinci Program. <br/><br/>CHABS degrade water quality and diminish essential ecosystem services worldwide. Despite longstanding efforts to understand this complex SES and reduce excess nitrogen and phosphorus inputs, poor water quality remains a persistent problem. Fundamental gaps in knowledge of critical SES components and interactions include: understanding the role of nitrogen (N) loading and N and phosphorus (P) cycling in driving CHAB biomass and toxin concentrations; farmer collective action behavior; the economic benefits of water quality improvement; and how to change SES governance. These gaps inhibit our ability to adjust existing management and governance approaches, which may make toxic CHABs worse. This interdisciplinary research and education project focuses on advancing CHABs SES science, improving practical CHABs management, and training the next generation of SES scholars to help address this societal challenge. Specifically, this research will: 1) advance fundamental understanding of more transformative approaches to behavioral change and SES water quality governance; 2) advance fundamental understanding of the role of N in driving CHAB biomass and toxicity and how in-stream processing of N and P influences the spatial and temporal distribution of water quality improvements; 3) improve watershed and integrated assessment models to incorporate new fundamental understanding of behavioral change, the role of N (in addition to P), in-stream transformation of N and P, and economic benefits of water quality; and 4) employ improved integrated assessment models to assess the effects of different coproduced management and governance scenarios on downstream water quality, coproduce actionable policy-relevant information and knowledge, and test the effectiveness of a stakeholder-engaged approach for building transformative capacity and enabling improved SES water-quality governance. Qualitative and quantitative datasets, insights and guidance, improved models, and curricula will be produced and made widely available through academic and non-academic outlets.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,New York University,,United States,OSF (Open Science Framework),Justin Pargeter,2021-09-01,2025-08-31,,,2021,18686,USD,"18,686.00",nsf,,2051497,Collaborative Research: Functional Analysis of Lithic Artifacts,"Humans have the capacity to modify their environments through a large set of inter-generationally transmitted engineering skills. The archaeological record addresses questions about the origins of these skills and can test hypotheses about why, when, and where they evolved. Building from this broader context, this project examines whether prehistoric people discovered, and then transmitted, a way to increase adhesion between individual components of their toolkits called “backing” (blunting). This research impacts human technological evolution by exploring if backing influenced stone tool function. This project takes a substantial inter-disciplinary step forward via the integration of archaeology, materials sciences, 3D morphometrics, and adhesive engineering in both controlled and actualistic experiments. The experimental collections generated from tests will be available for general study. The data will be permanently stored and freely accessible for download in the Open Science Framework (OSF) and through public education and outreach activities. Since backed stone tools are frequent implements found at sites relevant to the broader late Pleistocene human global dispersals, this project will advance understanding of the behavioral and technological adaptations that determined how our species came to colonize the planet. <br/><br/>The stone tool manufacturing technique of “backing” refers to the blunting of a flake’s edge(s) at, or near to, a 90° angle. Backed tools have a long prehistory, extending over 250,000 years. But why blunt a sharp edge that toolmakers can otherwise use for a variety of practical tasks, such as butchery, engraving, or processing plant material? One functional hypothesis is that backing enabled early humans to attach stone tools more effectively to wooden handles. If the functional hypothesis is true, then backing represents a significant Stone Age innovation in adhesion engineering. This project involves a systematic program of robust, controlled experimental tests investigating the apparent adhesion advantages of backed versus un-backed tools used as projectile weapon inserts. This project constructs backed and un-backed tools using four common rock types: chert, quartz, quartzite, and heat-treated silcrete. These tools are then used in four controlled tests to understand whether backed tools offer significant adhesion advantages over un-backed flakes. Regardless of a positive or negative result, this project has implications for understanding human behavioral evolution, technology, and tool use.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Kent State University,,United States,OSF (Open Science Framework),Metin Eren,2021-09-01,2025-08-31,,,2021,80145,USD,"80,145.00",nsf,,2051503,Collaborative Research: Functional Analysis of Lithic Artifacts,"Humans have the capacity to modify their environments through a large set of inter-generationally transmitted engineering skills. The archaeological record addresses questions about the origins of these skills and can test hypotheses about why, when, and where they evolved. Building from this broader context, this project examines whether prehistoric people discovered, and then transmitted, a way to increase adhesion between individual components of their toolkits called “backing” (blunting). This research impacts human technological evolution by exploring if backing influenced stone tool function. This project takes a substantial inter-disciplinary step forward via the integration of archaeology, materials sciences, 3D morphometrics, and adhesive engineering in both controlled and actualistic experiments. The experimental collections generated from tests will be available for general study. The data will be permanently stored and freely accessible for download in the Open Science Framework (OSF) and through public education and outreach activities. Since backed stone tools are frequent implements found at sites relevant to the broader late Pleistocene human global dispersals, this project will advance understanding of the behavioral and technological adaptations that determined how our species came to colonize the planet.<br/><br/>The stone tool manufacturing technique of “backing” refers to the blunting of a flake’s edge(s) at, or near to, a 90° angle. Backed tools have a long prehistory, extending over 250,000 years. But why blunt a sharp edge that toolmakers can otherwise use for a variety of practical tasks, such as butchery, engraving, or processing plant material? One functional hypothesis is that backing enabled early humans to attach stone tools more effectively to wooden handles. If the functional hypothesis is true, then backing represents a significant Stone Age innovation in adhesion engineering. This project involves a systematic program of robust, controlled experimental tests investigating the apparent adhesion advantages of backed versus un-backed tools used as projectile weapon inserts. This project constructs backed and un-backed tools using four common rock types: chert, quartz, quartzite, and heat-treated silcrete. These tools are then used in four controlled tests to understand whether backed tools offer significant adhesion advantages over un-backed flakes. Regardless of a positive or negative result, this project has implications for understanding human behavioral evolution, technology, and tool use.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Center for Open Science,,United States,OSF (Open Science Framework),Brian Nosek,2020-09-01,2022-08-31,,,2020,298998,USD,"298,998.00",nsf,,2032650,EAGER: Community Building and Workflows for Data Sharing with Publicly Accessible and Consumable Metadata,"In this exploratory activity, the Center for Open Science (COS) will create and pilot a result-reporting workflow for with Open Science Framework (OSF) study registration that includes reporting study outcomes, archiving study data and materials with permanent identifiers, and availability of metadata in a public API such as could be used by a federal agency for consumption (e.g., NSF Public Access Repository (PAR)). <br/><br/>The team will conduct community building around data sharing in the product development process and in the review and evolution of data sharing standards established with the Transparency and Openness Promotion (TOP) Guidelines and badges for acknowledging open practices. The project anticipates maximizing the discoverability of metadata of NSF-funded research, and increasing scientific rigor by helping link the products of research (data and software) to their associated publications through a user experience that supports transformative behavior change towards open-science aligned research.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Iowa State University,,United States,OSF (Open Science Framework),Hridesh Rajan,2021-10-01,2024-09-30,,,2021,840474,USD,"840,474.00",nsf,,2120448,Collaborative Research: CCRI: ENS: Boa 2.0: Enhancing Infrastructure for Studying Software and its Evolution at a Large Scale,"In today’s software-centric world, ultra-large-scale software repositories, e.g. GitHub, with hundreds of thousands of projects each, are the new library of Alexandria. They contain an enormous corpus of software and information about software. Scientists and engineers alike are interested in analyzing this wealth of information both for curiosity as well as for testing important research hypotheses. However, the current barrier to entry is prohibitive and only a few with well-established infrastructure and deep expertise can attempt such ultra-large-scale analysis. Necessary expertise includes: programmatically accessing version control systems, data storage and retrieval, data mining, and parallelization. The need to have expertise in these four different areas significantly increases the cost of scientific research that attempts to answer research questions involving ultra-large-scale software repositories. As a result, experiments are often not replicable, and reusability of experimental infrastructure low. Furthermore, data associated and produced by such experiments is often lost and becomes inaccessible and obsolete, because there is no systematic curation. Last but not least, building analysis infrastructure to process ultra-large-scale data efficiently can be very hard.<br/> <br/>This project will continue to enhance the CISE research infrastructure called Boa to aid and assist with such research. This next version of Boa will be called Boa 2.0 and it will continue to be globally disseminated. The project will further develop the programming language also called Boa, that can hide the details of programmatically accessing version control systems, data storage and retrieval, data mining, and parallelization from the scientists and engineers and allow them to focus on the program logic. The project will also enhance the data mining infrastructure for Boa, and a BIGDATA repository containing millions of open source project for analyzing ultra-large-scale software repositories to help with such experiments. The project will integrate Boa 2.0 with the Center for Open Science Open Science Framework (OSF) to improve reproducibility and with the national computing resource XSEDE to improve scalability. The broader impacts of Boa 2.0 stem from its potential to enable developers, designers and researchers to build intuitive, multi-modal, user-centric, scientific applications that can aid and enable scientific research on individual, social, legal, policy, and technical aspects of open source software development. This advance will primarily be achieved by significantly lowering the barrier to entry and thus enabling a larger and more ambitious line of data-intensive scientific discovery in this area.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Texas at Dallas,,United States,OSF (Open Science Framework),Tien Nguyen,2021-10-01,2024-09-30,,,2021,448168,USD,"448,168.00",nsf,,2120386,Collaborative Research: CCRI: ENS: Boa 2.0: Enhancing Infrastructure for Studying Software and its Evolution at a Large Scale,"In today’s software-centric world, ultra-large-scale software repositories, e.g. GitHub, with hundreds of thousands of projects each, are the new library of Alexandria. They contain an enormous corpus of software and information about software. Scientists and engineers alike are interested in analyzing this wealth of information both for curiosity as well as for testing important research hypotheses. However, the current barrier to entry is prohibitive and only a few with well-established infrastructure and deep expertise can attempt such ultra-large-scale analysis. Necessary expertise includes: programmatically accessing version control systems, data storage and retrieval, data mining, and parallelization. The need to have expertise in these four different areas significantly increases the cost of scientific research that attempts to answer research questions involving ultra-large-scale software repositories. As a result, experiments are often not replicable, and reusability of experimental infrastructure low. Furthermore, data associated and produced by such experiments is often lost and becomes inaccessible and obsolete, because there is no systematic curation. Last but not least, building analysis infrastructure to process ultra-large-scale data efficiently can be very hard.<br/> <br/>This project will continue to enhance the CISE research infrastructure called Boa to aid and assist with such research. This next version of Boa will be called Boa 2.0 and it will continue to be globally disseminated. The project will further develop the programming language also called Boa, that can hide the details of programmatically accessing version control systems, data storage and retrieval, data mining, and parallelization from the scientists and engineers and allow them to focus on the program logic. The project will also enhance the data mining infrastructure for Boa, and a BIGDATA repository containing millions of open source project for analyzing ultra-large-scale software repositories to help with such experiments. The project will integrate Boa 2.0 with the Center for Open Science Open Science Framework (OSF) to improve reproducibility and with the national computing resource XSEDE to improve scalability. The broader impacts of Boa 2.0 stem from its potential to enable developers, designers and researchers to build intuitive, multi-modal, user-centric, scientific applications that can aid and enable scientific research on individual, social, legal, policy, and technical aspects of open source software development. This advance will primarily be achieved by significantly lowering the barrier to entry and thus enabling a larger and more ambitious line of data-intensive scientific discovery in this area.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Center for Open Science,,United States,OSF (Open Science Framework),Brian Nosek,2021-10-01,2024-09-30,,,2021,227357,USD,"227,357.00",nsf,,2120345,Collaborative Research: CCRI: ENS: Boa 2.0: Enhancing Infrastructure for Studying Software and its Evolution at a Large Scale,"In today’s software-centric world, ultra-large-scale software repositories, e.g. GitHub, with hundreds of thousands of projects each, are the new library of Alexandria. They contain an enormous corpus of software and information about software. Scientists and engineers alike are interested in analyzing this wealth of information both for curiosity as well as for testing important research hypotheses. However, the current barrier to entry is prohibitive and only a few with well-established infrastructure and deep expertise can attempt such ultra-large-scale analysis. Necessary expertise includes: programmatically accessing version control systems, data storage and retrieval, data mining, and parallelization. The need to have expertise in these four different areas significantly increases the cost of scientific research that attempts to answer research questions involving ultra-large-scale software repositories. As a result, experiments are often not replicable, and reusability of experimental infrastructure low. Furthermore, data associated and produced by such experiments is often lost and becomes inaccessible and obsolete, because there is no systematic curation. Last but not least, building analysis infrastructure to process ultra-large-scale data efficiently can be very hard.<br/> <br/>This project will continue to enhance the CISE research infrastructure called Boa to aid and assist with such research. This next version of Boa will be called Boa 2.0 and it will continue to be globally disseminated. The project will further develop the programming language also called Boa, that can hide the details of programmatically accessing version control systems, data storage and retrieval, data mining, and parallelization from the scientists and engineers and allow them to focus on the program logic. The project will also enhance the data mining infrastructure for Boa, and a BIGDATA repository containing millions of open source project for analyzing ultra-large-scale software repositories to help with such experiments. The project will integrate Boa 2.0 with the Center for Open Science Open Science Framework (OSF) to improve reproducibility and with the national computing resource XSEDE to improve scalability. The broader impacts of Boa 2.0 stem from its potential to enable developers, designers and researchers to build intuitive, multi-modal, user-centric, scientific applications that can aid and enable scientific research on individual, social, legal, policy, and technical aspects of open source software development. This advance will primarily be achieved by significantly lowering the barrier to entry and thus enabling a larger and more ambitious line of data-intensive scientific discovery in this area.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Dartmouth College,,United States,OSF (Open Science Framework),William Leavitt,2019-09-01,2023-11-30,,,2019,299358,USD,"299,358.00",nsf,,1928309,Collaborative Research: Establishing the Hydrogen Isotopic Window into Archaeal Lipid Biomarkers,"Life has three major groups - the eukaryotes, bacteria and archaea. This work focuses on the often-overlooked archaea. They are microbes critical to the cycling of matter and energy on Earth. They have played this important role throughout the history of the planet. Like all life on Earth, archaea are made up of elements such as carbon, oxygen and hydrogen. These elements form larger organic molecules that are required by all life such as DNA, proteins, and lipids. Geobiologists study these organic molecules to learn about life on Earth today and in the past. However, not all of these are preserved over long periods of time. Most DNA and proteins break down quickly and can only be used to study Earth today. Lipids are often much hardier and so are useful to geobiologists because they can be preserved in rocks for millennia. Lipids from archaea are particularly hardy and do not break down easily. This means that they can store information about the place in which the microbe lived. Long after they die, the lipids made by archaea can be extracted from muds, oils, and rocks. Geobiologists examine the structures and atoms of these lipids built by archaea millions of years ago to learn about Earth's past. However, it is not easy to decode the information in the lipids of long dead microbes correctly. To do this well, it is important to study these same lipids in modern systems and in the lab. This project will study several important archaea in the lab and shed light on how the different kinds of hydrogen atoms are used by archaea to build their lipids. The results will lead to advances in interpreting what lipids from archaea can tell us about the places they lived recently, and millions of years in the past. The proposed project emphasizes training of students at all levels and this includes advanced graduate (PhD and MS trainees) as well as undergraduate, high-school and middle school students. To engage high-school and middle school students in underserved districts, project members will use a graduate and undergraduate led peer-to-peer mentoring network called ManyMentors. This is an app-based mentoring platform that matches students in underserved classrooms who show interest in STEM with undergraduate and graduate students seeking STEM degrees. Specific teaching activities are all aimed at fostering transferrable skills. This includes critical thinking, written and verbal communication, and coding-literacy. All project members will participate in these activities. <br/><br/>Archaea are a domain of life central to the cycling of matter and energy in low temperature (<150 Celsius) environments today and throughout Earth's history. The primary objective of this project is to uncover how the hydrogen (H) isotopic composition of archaeal lipid biomarkers records geochemical and geomicrobial processes and may be used to reconstruct modern environmental systems and the recent geologic past. To read these records requires controlled experimental calibration of archaeal biomarker H isotope fractionation, which does not yet exist. This work will address this knowledge gap by calibrating the lipid H-isotopic signature of representative archaea across different redox regimes, carbon sources and energy fluxes reflecting the full suite of environments encountered in nature. Specifically, it will test the hypothesis that the structural and H-isotopic composition of archaeal lipids records the main hypothesized geochemical drivers of variability in archaeal biomarkers (energy and carbon availability, as well as nutrient/energy flux). To achieve this, the proposed work will employ a mixture of culturing methods including rate-controlled steady-state (chemostatic) experiments, combined with archaeal lipid characterization, compound-specific H isotope analysis, and a modeling effort. The output of this work will be a process- and mechanism-based interpretive framework for archaeal lipid H isotope fractionation in response to environmental forcings. That is, the proposed work will allow for (re)interpretations of past and present biogeochemical processes across wide temporal and spatial scales, from planetary (exosphere redox) to regional (basinal redox) to interfacial (pore-water redox). This project will train two PhD students in low temperature geochemistry and geomicrobiology and provide myriad opportunities to engage undergraduate students from diverse backgrounds in basic scientific research. Student engagement will be guided by an emphasis on critical thinking, lab and analytical skills building, and exposure to new ideas and questions in geomicrobiology. This will allow student to gain transferrable skills, such as rational experimental design, hypothesis construction and testing, and coding-literacy in the geosciences. These are requisite skills in the 21st century workforce, both in and out of the geosciences. Co-PI Kopf has a demonstrated commitment to open-source code, data collection and analysis software and has deployed such modules in the classroom as part of a larger effort to increase coding-literacy in geoscience courses. To expand the impact of coding modules developed at CU Boulder, Co-PI Leavitt will test and implement them in geomicrobiology and biogeochemistry courses at Dartmouth. Both PIs are committed to experimental pre-registration (via Open Science Framework) and the long-term archiving and preservation of all data products. All PIs and team members will participate in the ManyMentors network.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Colorado at Boulder,,United States,OSF (Open Science Framework),Sebastian Kopf,2019-09-01,2024-02-29,,,2019,295814,USD,"295,814.00",nsf,,1928303,Collaborative Research: Establishing the Hydrogen Isotopic Window into Archaeal Lipid Biomarkers,"Life has three major groups - the eukaryotes, bacteria and archaea. This work focuses on the often-overlooked archaea. They are microbes critical to the cycling of matter and energy on Earth. They have played this important role throughout the history of the planet. Like all life on Earth, archaea are made up of elements such as carbon, oxygen and hydrogen. These elements form larger organic molecules that are required by all life such as DNA, proteins, and lipids. Geobiologists study these organic molecules to learn about life on Earth today and in the past. However, not all of these are preserved over long periods of time. Most DNA and proteins break down quickly and can only be used to study Earth today. Lipids are often much hardier and so are useful to geobiologists because they can be preserved in rocks for millennia. Lipids from archaea are particularly hardy and do not break down easily. This means that they can store information about the place in which the microbe lived. Long after they die, the lipids made by archaea can be extracted from muds, oils, and rocks. Geobiologists examine the structures and atoms of these lipids built by archaea millions of years ago to learn about Earth's past. However, it is not easy to decode the information in the lipids of long dead microbes correctly. To do this well, it is important to study these same lipids in modern systems and in the lab. This project will study several important archaea in the lab and shed light on how the different kinds of hydrogen atoms are used by archaea to build their lipids. The results will lead to advances in interpreting what lipids from archaea can tell us about the places they lived recently, and millions of years in the past. The proposed project emphasizes training of students at all levels and this includes advanced graduate (PhD and MS trainees) as well as undergraduate, high-school and middle school students. To engage high-school and middle school students in underserved districts, project members will use a graduate and undergraduate led peer-to-peer mentoring network called ManyMentors. This is an app-based mentoring platform that matches students in underserved classrooms who show interest in STEM with undergraduate and graduate students seeking STEM degrees. Specific teaching activities are all aimed at fostering transferrable skills. This includes critical thinking, written and verbal communication, and coding-literacy. All project members will participate in these activities. <br/><br/>Archaea are a domain of life central to the cycling of matter and energy in low temperature (<150 Celsius) environments today and throughout Earth's history. The primary objective of this project is to uncover how the hydrogen (H) isotopic composition of archaeal lipid biomarkers records geochemical and geomicrobial processes and may be used to reconstruct modern environmental systems and the recent geologic past. To read these records requires controlled experimental calibration of archaeal biomarker H isotope fractionation, which does not yet exist. This work will address this knowledge gap by calibrating the lipid H-isotopic signature of representative archaea across different redox regimes, carbon sources and energy fluxes reflecting the full suite of environments encountered in nature. Specifically, it will test the hypothesis that the structural and H-isotopic composition of archaeal lipids records the main hypothesized geochemical drivers of variability in archaeal biomarkers (energy and carbon availability, as well as nutrient/energy flux). To achieve this, the proposed work will employ a mixture of culturing methods including rate-controlled steady-state (chemostatic) experiments, combined with archaeal lipid characterization, compound-specific H isotope analysis, and a modeling effort. The output of this work will be a process- and mechanism-based interpretive framework for archaeal lipid H isotope fractionation in response to environmental forcings. That is, the proposed work will allow for (re)interpretations of past and present biogeochemical processes across wide temporal and spatial scales, from planetary (exosphere redox) to regional (basinal redox) to interfacial (pore-water redox). This project will train two PhD students in low temperature geochemistry and geomicrobiology and provide myriad opportunities to engage undergraduate students from diverse backgrounds in basic scientific research. Student engagement will be guided by an emphasis on critical thinking, lab and analytical skills building, and exposure to new ideas and questions in geomicrobiology. This will allow student to gain transferrable skills, such as rational experimental design, hypothesis construction and testing, and coding-literacy in the geosciences. These are requisite skills in the 21st century workforce, both in and out of the geosciences. Co-PI Kopf has a demonstrated commitment to open-source code, data collection and analysis software and has deployed such modules in the classroom as part of a larger effort to increase coding-literacy in geoscience courses. To expand the impact of coding modules developed at CU Boulder, Co-PI Leavitt will test and implement them in geomicrobiology and biogeochemistry courses at Dartmouth. Both PIs are committed to experimental pre-registration (via Open Science Framework) and the long-term archiving and preservation of all data products. All PIs and team members will participate in the ManyMentors network.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,New Jersey Institute of Technology,,United States,OSF (Open Science Framework),Simon Garnier,2016-07-01,2020-03-31,,,2016,339998,USD,"339,998.00",nsf,,1557610,Collaborative Proposal: No Brainer: Cognitive-like Behaviors in a Unicellular Slime Mold,"Most of life is brainless and the vast majority of organisms on Earth lack neurons altogether. These organisms include plants, fungi, and bacteria (both non-pathogenic and disease-causing types), who all must cope with the same problem as humans - make the best choices in an ever changing world or risk dying - but without the help of a brain or even a simple nervous system. This project will explore the decision-making abilities of one of these neuron-less organisms, the slime mold Physarum polycephalum. Of particular interest is (1) how P. polycephalum integrates noisy and sometimes contradictory information when selecting a food source; and (2) the role of its past experiences (e.g. the resources it has previously visited) on the outcome of its future choices. Because P. polycephalum is a macroscopic unicellular organism, it can be easily manipulated and observed, while retaining similar characteristics to other neuron-less, microscopic creatures. It is therefore a perfect model system to understand how most living beings integrate complex and dynamical information. The project will train 2 graduate students and at least 15 undergraduate and high school students in integrative research at one of the most diverse campuses in the US (Rutgers-Newark and NJIT, both located in Newark, NJ) and at a collaborating lab in Sydney, Australia. ""Hands-on"", open sourced demonstration kits for K-12 classes to experiment with slime mold locomotion and decision-making will be developed to encourage the study of cognitive processes in neuron-less organisms and other non-traditional model organisms. <br/><br/>The proposed project will set up a comprehensive experimental and theoretical framework that can be used beyond the scope of this project to study decision-making in other neuron-less organisms and to establish comparisons with brained animals, thereby advancing our comprehension of the emergence of cognitive processes in biological systems. Cell micromanipulation and calcium imaging combined with analytical tools from neurophysiology and statistical physics will be used to first investigate the role of contractile oscillations of P. polycephalum's cellular plasma membrane in its decision-making process. In particular, the transfer and integration of information from different stimuli will be examined. The efficiency of the slime mold decision-making mechanism when the available information is noisy or contradictory will also be tested. Finally, whether the slime mold's natural positive geotaxis (motion in the direction of gravity) can be conditioned (i.e., reversed here) if food is always present uphill will be determined. This would indicate that the slime mold is capable of spatial associative learning (a first in the slime mold), and that its decision-making process is capable of adapting to the characteristics of the environment through which it moves. All methods, results and software developed during this project will be made freely available on a repository hosted by the Open Science Framework.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Rutgers University Newark,,United States,OSF (Open Science Framework),Gregory Weber,2016-07-01,2020-06-30,,,2016,245000,USD,"245,000.00",nsf,,1557651,Collaborative Proposal: No Brainer: Cognitive-like Behaviors in a Unicellular Slime Mold,"Most of life is brainless and the vast majority of organisms on Earth lack neurons altogether. These organisms include plants, fungi, and bacteria (both non-pathogenic and disease-causing types), who all must cope with the same problem as humans - make the best choices in an ever changing world or risk dying - but without the help of a brain or even a simple nervous system. This project will explore the decision-making abilities of one of these neuron-less organisms, the slime mold Physarum polycephalum. Of particular interest is (1) how P. polycephalum integrates noisy and sometimes contradictory information when selecting a food source; and (2) the role of its past experiences (e.g. the resources it has previously visited) on the outcome of its future choices. Because P. polycephalum is a macroscopic unicellular organism, it can be easily manipulated and observed, while retaining similar characteristics to other neuron-less, microscopic creatures. It is therefore a perfect model system to understand how most living beings integrate complex and dynamical information. The project will train 2 graduate students and at least 15 undergraduate and high school students in integrative research at one of the most diverse campuses in the US (Rutgers-Newark and NJIT, both located in Newark, NJ) and at a collaborating lab in Sydney, Australia. ""Hands-on"", open sourced demonstration kits for K-12 classes to experiment with slime mold locomotion and decision-making will be developed to encourage the study of cognitive processes in neuron-less organisms and other non-traditional model organisms. <br/><br/>The proposed project will set up a comprehensive experimental and theoretical framework that can be used beyond the scope of this project to study decision-making in other neuron-less organisms and to establish comparisons with brained animals, thereby advancing our comprehension of the emergence of cognitive processes in biological systems. Cell micromanipulation and calcium imaging combined with analytical tools from neurophysiology and statistical physics will be used to first investigate the role of contractile oscillations of P. polycephalum's cellular plasma membrane in its decision-making process. In particular, the transfer and integration of information from different stimuli will be examined. The efficiency of the slime mold decision-making mechanism when the available information is noisy or contradictory will also be tested. Finally, whether the slime mold's natural positive geotaxis (motion in the direction of gravity) can be conditioned (i.e., reversed here) if food is always present uphill will be determined. This would indicate that the slime mold is capable of spatial associative learning (a first in the slime mold), and that its decision-making process is capable of adapting to the characteristics of the environment through which it moves. All methods, results and software developed during this project will be made freely available on a repository hosted by the Open Science Framework.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Florida International University,,United States,OSF (Open Science Framework),Angela Laird,2016-08-01,2020-07-31,,,2016,727731,USD,"727,731.00",nsf,,1631325,NCS-FO: Integrative Knowledge Modeling in Cognitive Neuroimaging,"Neuroimaging research is increasing in volume and scope, needing ""big data"" methods for discovery. A number of important resources already exist for neuroimaging, including data repositories, crowd-sourcing knowledge bases, standardized ontologies and terminologies, and meta-analytic repositories. However, while data and code-sharing efforts are growing, there is little interaction and limited sharing of knowledge across platforms. Machine learning methods are being applied in other fields to extract knowledge locked in text (e.g., journal articles, patient records, social media posts), with the goal of recognizing relations among entities (e.g., ""drug X causes adverse event Y""). Cognitive neuroscientists also determine relations, specifically between brain regions and cognitive, perceptual, and motor processes (e.g., ""mental function X activates brain network Y""), but are hampered in using high-throughput automated methods on the ever-growing published text. It is not a simple process to identify which cognitive processes were studied in a given project, or what brain networks were identified as related to which mental process. The investigators propose an integrative metadata framework that describes the experimental design characteristics and results, as well as the knowledge that the research provides. Efficient knowledge sharing may best be achieved via an interactive data ecosystem that uses standards for transparency and openness when describing knowledge derived from cognitive neuroimaging experiments. Developing this integrative metadata framework for neuroimaging will increase the community's ability to share data and evaluate reliability in the resulting relationships between mind and brain. This project aims to provide improvements in large-scale integration of the scientific literature, with more rapid understanding of the complexity of brain research and neurocognitive models, within an educational setting for training STEM students and accelerated research productivity.<br/><br/>Neuroscientific research frequently requires efficiency, transdisciplinary collaborations, and cross-domain flexibility. Efficient knowledge sharing may best be achieved via an interactive data ecosystem that relies on an integrative metadata framework. Such a framework would address scientific reproducibility by providing standards for transparency and openness when describing knowledge derived from cognitive neuroimaging experiments. Moreover, development of an integrative metadata framework for cognitive neuroimaging will enhance interaction between existing neuroinformatics resources, increasing the community's ability to share data and evaluate reliability in experimental findings. This project will develop knowledge modeling tools for cognitive neuroimaging studies, as well as large-scale meta-analytic evaluations of cognitive models. The investigators will build on previous work extracting experimental design features from the text to create an ensemble of classifiers for full text papers. The investigators will work with an External Advisory Board for evaluation and feedback, and will use the framework to automatically extract knowledge regarding mind/brain models within the exemplar domains of executive function, affective processing, and reward feedback. The investigators will integrate classifiers and methods with other international standards for data and results sharing (e.g., NI-DM, CEDAR and ISA-TAB, BioCaddie) and other repositories (e.g. Neurosynth, BrainSpell) for broader use in the community. The intellectual merit of this project is the enhanced access to cognitive neuroscience knowledge that is currently locked in text. This project's success will allow the research community to collectively address hurdles such as annotating their own data and sharing their data/results via integrated annotations in a public repository, journal, or knowledge discovery platforms, and ultimately lead to long-term strategies for cross-domain neurocognitive model development. This project has been designed to have high integrative value and will interact, harmonize, and share data and algorithms with existing neuroinformatics resources that will benefit from enhanced knowledge modeling techniques. Moreover, in an effort to promote transparency, reliability, and reproducibility, this project will be publicly available on the Open Science Framework and Github (e.g., Labels, Classifiers, Code). Such an integrative metadata framework may be viewed as the connective tissue that will facilitate a new generation of cognitive model development, providing a potentially transformative strategy for modeling the literature, and ultimately leading to more informed, evidence-based, and reproducible neurocognitive models of brain function.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Massachusetts Institute of Technology,,United States,OSF (Open Science Framework),Stefanie Shattuck-Hufnagel,2018-09-01,2022-08-31,,,2018,354605,USD,"354,605.00",nsf,,1827598,Collaborative research: An integrated model of phonetic analysis and lexical access based on individual acoustic cues to features,"One of the greatest mysteries in the cognitive and neural sciences is how humans achieve robust speech perception given extreme variation in the precise acoustics produced for any given speech sound or word. For example, people can produce different acoustics for the same vowel sound, while in other cases the acoustics for two different vowels may be nearly identical. The acoustic patterns also change depending on the rate at which the sounds are spoken. Listeners may also perceive a sound that was not actually produced due to massive reductions in speech pronunciation (e.g., the ""t"" and ""y"" sounds in ""don't you"" are often reduced to ""doncha""). Most theories assume that listeners recognize words in continuous speech by extracting consonants and vowels in a strictly sequential order. However, previous research has failed to find evidence for invariant cues in the acoustic signal that would allow listeners to extract the important information. This project uses a new tool for the study of language processing, LEXI (for Linguistic-Event EXtraction and Interpretation), to test the hypothesis that individual acoustic cues for consonants and vowels can in fact be extracted from the signal and can be used to determine the speaker's intended words. When some acoustic cues for speech sounds are modified or missing, LEXI can detect the remaining cues and evaluate them as evidence for the intended sounds and words. This research has potentially broad societal benefits, including optimization of human-machine interactions to accommodate atypical speech patterns seen in speech disorders or accented speech. This project supports training of 1-2 doctoral students and 8-10 undergraduate students through hands-on experience in experimental and computational research. All data, including code for computational models, the LEXI system, and speech databases labeled for acoustic cues will be publicly available through the Open Science Framework; preprints of all publications will be publicly available at PsyArxiv and NSF-PAR.<br/><br/>This interdisciplinary project unites signal analysis, psycholinguistic experimentation, and computational modeling to (1) survey the ways that acoustic cues vary in different contexts, (2) experimentally test how listeners use these cues through distributional learning for speech, and (3) use computational modeling to evaluate competing theories of how listeners recognize spoken words. The work will identify cue patterns in the signal that listeners use to recognize massive reductions in pronunciation and will experimentally test how listeners keep track of this systematic variation. This knowledge will be used to model how listeners ""tune in"" to the different ways speakers produce speech sounds. By using cues detected by LEXI as input to competing models of word recognition, the work provides an opportunity to examine the fine-grained time course of human speech recognition with large sets of spoken words; this is an important innovation because most cognitive models of speech do not work with speech input directly. Theoretical benefits include a strong test of the cue-based model of word recognition and the development of tools to allow virtually any model of speech recognition to work on real speech input, with practical implications for optimizing automatic speech recognition.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Connecticut,,United States,OSF (Open Science Framework),Rachel Theodore,2018-09-01,2022-08-31,,,2018,202981,USD,"202,981.00",nsf,,1827591,Collaborative research: An integrated model of phonetic analysis and lexical analysis based on individual acoustic cues to features,"One of the greatest mysteries in the cognitive and neural sciences is how humans achieve robust speech perception given extreme variation in the precise acoustics produced for any given speech sound or word. For example, people can produce different acoustics for the same vowel sound, while in other cases the acoustics for two different vowels may be nearly identical. The acoustic patterns also change depending on the rate at which the sounds are spoken. Listeners may also perceive a sound that was not actually produced due to massive reductions in speech pronunciation (e.g., the ""t"" and ""y"" sounds in ""don't you"" are often reduced to ""doncha""). Most theories assume that listeners recognize words in continuous speech by extracting consonants and vowels in a strictly sequential order. However, previous research has failed to find evidence for invariant cues in the acoustic signal that would allow listeners to extract the important information. This project uses a new tool for the study of language processing, LEXI (for Linguistic-Event EXtraction and Interpretation), to test the hypothesis that individual acoustic cues for consonants and vowels can in fact be extracted from the signal and can be used to determine the speaker's intended words. When some acoustic cues for speech sounds are modified or missing, LEXI can detect the remaining cues and evaluate them as evidence for the intended sounds and words. This research has potentially broad societal benefits, including optimization of human-machine interactions to accommodate atypical speech patterns seen in speech disorders or accented speech. This project supports training of 1-2 doctoral students and 8-10 undergraduate students through hands-on experience in experimental and computational research. All data, including code for computational models, the LEXI system, and speech databases labeled for acoustic cues will be publicly available through the Open Science Framework; preprints of all publications will be publicly available at PsyArxiv and NSF-PAR.<br/><br/>This interdisciplinary project unites signal analysis, psycholinguistic experimentation, and computational modeling to (1) survey the ways that acoustic cues vary in different contexts, (2) experimentally test how listeners use these cues through distributional learning for speech, and (3) use computational modeling to evaluate competing theories of how listeners recognize spoken words. The work will identify cue patterns in the signal that listeners use to recognize massive reductions in pronunciation and will experimentally test how listeners keep track of this systematic variation. This knowledge will be used to model how listeners ""tune in"" to the different ways speakers produce speech sounds. By using cues detected by LEXI as input to competing models of word recognition, the work provides an opportunity to examine the fine-grained time course of human speech recognition with large sets of spoken words; this is an important innovation because most cognitive models of speech do not work with speech input directly. Theoretical benefits include a strong test of the cue-based model of word recognition and the development of tools to allow virtually any model of speech recognition to work on real speech input, with practical implications for optimizing automatic speech recognition.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Center for Open Science,,United States,OSF (Open Science Framework),Nicole Pfeiffer,2023-09-15,2025-08-31,,,2023,1498214,USD,"1,498,214.00",nsf,,2303690,POSE: Phase II: Open-Source Ecosystem to enable Open Scholarship,"Open science, also called open research or open scholarship, is a movement that advances the free and open sharing of research. The goal of open science is to make the research process open for review by everyone with the goal of improving the quality of scientific results and usefulness of scientific discoveries. Tools are needed to encourage and support researchers to work together, share data and analyses, and discover and reuse research. The Center for Open Science (COS) has built and maintains the Open Science Framework (OSF), which is a free, open-source platform that provides these tools. Researchers use this platform to manage and conduct their research while following open science practices. The involvement of research communities in the co-development of the tools that support them in practicing open science is important to secure robust and long-standing scientific knowledge.<br/> <br/>This NSF POSE Phase II award creates a distributed Open Source Ecosystem (OSE) around the OSF: the Open Scholarship OSE. This project permits the expansion of community-driven open scholarship by (1) creating a governance structure that guides the trajectory of the Open Scholarship OSE by developing a community of user-contributors to the ecosystem, (2) connecting new digital storage locations, tools, and other services, expanding the range of applications of and disciplines using the OSF, and (3) developing improved workflows that enable open scholarship across a wider range of research goals, methods, processes, and outputs. The Open Scholarship OSE develops communication pathways for researchers to become part of the development process and to implement open scholarship practices while making the barriers to participation as low as possible.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,UNK,Unknown,National Science Foundation,https://ror.org/021nxhr62,Public,Colorado School of Mines,,United States,OSF (Open Science Framework),Thomas Williams,2021-03-15,2026-02-28,,,2021,549999,USD,"549,999.00",nsf,,2044865,CAREER: Cognitively-Informed Memory Models for Language-Capable Robots,"Robots that can communicate with people through spoken language stand to advance the future of human work and to assist the most vulnerable members of society, including children and older adults, people with disabilities, autism, or mental illness, and people experiencing isolation, bullying, or trauma. One of the key tasks that robots will need to do when talking with everyday people is referring expression generation, which is the process of creating descriptions like ""the office at the end of the hallway."" When robots generate such descriptions, they need to do so in a way that is accurate (the description shouldn't be wrong), natural (the description shouldn't sound awkward), understandable (the listener should be able to interpret the description quickly and effortlessly), and efficient (the robot should be able to generate the description without having to pause and think for too long). To understand how robots might generate descriptions in a way that satisfies these properties, we can start by trying to understand how people do so. One reason we are good at generating referring expressions may be because of our working, or short term, memory, which we use to keep a small amount of timely and important information available in a way that we can quickly and effortlessly access. The key idea of this project is to give robots the same type of working memory capabilities, and the same ways of thinking about what might be in peoples' working memories, so they will be able to use that timely and important information to do a better job at generating referring expressions. By taking this cognitively inspired approach, this work will advance the state of the art of multiple fields, including AI, robotics, and psychology. In addition, the educational aspect of this project aims to develop materials that will help train the next generation of students working at the intersection of these fields. To ensure the broadest possible impact, these efforts will be integrated with the PI's department's activities relating to Broadening Participation in Computing so that they reach currently underrepresented groups. <br/><br/>From a technical perspective, the key goal of this research is to show how models of working memory that appropriately cache task-relevant beliefs about goal-relevant objects will enable robots to better perform referring expression generation. To this end, the work will assess two key hypotheses: that cognitively inspired models of working memory will enable robots to generate referring expressions in a way that is more accurate, natural, computationally efficient to generate, and cognitively efficient for the listener to process; and that goal relevance can be leveraged to ensure that the most task-relevant information is retained within those models. By addressing these hypotheses, the research will develop: (1) the first algorithms for referring expression generation in robot cognitive architectures that are informed by current psychological theories of human working memory; (2) a fundamental new understanding of how robots can intelligently manage and allocate resources within artificial working memory models, (3) an understanding of which memory models will produce optimal performance from both robotics and cognitive modeling perspectives; (4) fundamental new understanding of how the goal relevance of entities and their properties can be automatically assessed within integrated cognitive architectures; (5) understanding of how goal relevance can be used to allocate cognitive resources within robotic models of working memory; (6) understanding of which goal-driven resource allocation strategies will produce optimal performance from both robotics and cognitive modeling perspectives; and (7) freely-available datasets of human-robot dialogues, and a freely-available experimental framework to allow other researchers to collect additional such dialogues, both of which will be permanently archived via the Open Science Framework.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Dartmouth College,,United States,OSF (Open Science Framework),Yaroslav Halchenko,2019-12-01,2023-11-30,,,2019,649643,USD,"649,643.00",nsf,,1912266,"Collaborative Proposal: CRCNS US-German Data Sharing Proposal: DataLad - a decentralized system for integrated discovery, management, and publication of digital objects of science","Scientists collect terabytes of critical data every year. Recently a strong open science movement has generated traction for the beneficial practice of sharing data across laboratories, universities and research institutions. Yet, sharing data is not enough. Data must be shared using standardized formats and accompanied by curated metadata to allow for tracking, search, and organization. Metadata are essential for scientific discovery, as they are routinely used to complete all data analyses. However, to date, most brain projects focus on collecting or analyzing data, not on metadata management. Typical metadata records consist of heterogeneous study descriptions, developed at study release stage, without consistency across records or standard mechanisms to track changes. <br/>This project will increase access to brain data and improve metadata handling by combining two NSF-funded projects. It will develop a first-of-its-kind metadata management system able to track data and metadata distributed across heterogeneous geographical locations, storage systems and data formats. This portion of the project will expand the functionality of a previously funded NSF project DataLad. DataLad will also be enhanced to interoperate with major data repositories such as OSF and Figshare. Furthermore, the project will use the NSF-funded cloud computing platform brainlife.io to create a data and metadata marketplace by gathering data from multiple currently separated repositories into a single ecosystem . The goal is to improve interoperability across open science projects and make data and metadata easily searchable and available for computing on national cyberinfrastructure systems, ultimately advancing scientific discovery by increasing data discoverability, utilization, and publication. <br/><br/>This project will generate various technological advances. The core target will be an extensible system capable of automated gathering of metadata from various domains. It will be comprised of two major components: 1) a set of metadata parser algorithms that extract metadata from datasets and individual files using a flexible JSON-LD based data structure (with the ability to encode controlled vocabularies where available) and 2) an aggregation procedure that merges the aggregated metadata across parsers and stores them into compressed files that are optimized for bandwidth-efficient exchange and can be queried directly, or used as input into SQL or graph databases for data discovery applications. Extracted metadata will be included within the same datasets under Git and git-annex version control for unambiguous referencing and versatile data logistics. In parallel development we will improve interoperability of DataLad with existing data publishing portals (such as Figshare and OSF) by taking advantage of extracted metadata (e.g., Author, Description) to prefill required fields, and also by bundling the entire Git object store within the publication to make such published datasets installable back by DataLad without any loss of information. To make such published datasets discoverable, we will establish a crowd-sourced registry (with a RESTful API) which will get announcements on the availability of new datasets upon publication and aggregate their metadata to enable querying across datasets and data hosting providers. The final development will be the integration of DataLad within the brainlife.io data marketplace. This will make it possible to search and install datasets on brainlife.io as well as to process the data utilizing the brainlife.io analyses Apps on various NSF-funded national cyberinfrastructure high-throughput computer systems.<br/><br/>A companion project is being funded by the Federal Ministry of Education and Research, Germany (BMBF).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Indiana University,,United States,OSF (Open Science Framework),Franco Pestilli,2019-12-01,2021-12-31,,,2019,152802,USD,"152,802.00",nsf,,1912270,"Collaborative Proposal: CRCNS US-German Data Sharing Proposal: DataLad - a decentralized system for integrated discovery, management, and publication of digital objects of science","Scientists collect terabytes of critical data every year. Recently a strong open science movement has generated traction for the beneficial practice of sharing data across laboratories, universities and research institutions. Yet, sharing data is not enough. Data must be shared using standardized formats and accompanied by curated metadata to allow for tracking, search, and organization. Metadata are essential for scientific discovery, as they are routinely used to complete all data analyses. However, to date, most brain projects focus on collecting or analyzing data, not on metadata management. Typical metadata records consist of heterogeneous study descriptions, developed at study release stage, without consistency across records or standard mechanisms to track changes. <br/>This project will increase access to brain data and improve metadata handling by combining two NSF-funded projects. It will develop a first-of-its-kind metadata management system able to track data and metadata distributed across heterogeneous geographical locations, storage systems and data formats. This portion of the project will expand the functionality of a previously funded NSF project DataLad. DataLad will also be enhanced to interoperate with major data repositories such as OSF and Figshare. Furthermore, the project will use the NSF-funded cloud computing platform brainlife.io to create a data and metadata marketplace by gathering data from multiple currently separated repositories into a single ecosystem . The goal is to improve interoperability across open science projects and make data and metadata easily searchable and available for computing on national cyberinfrastructure systems, ultimately advancing scientific discovery by increasing data discoverability, utilization, and publication. <br/><br/>This project will generate various technological advances. The core target will be an extensible system capable of automated gathering of metadata from various domains. It will be comprised of two major components: 1) a set of metadata parser algorithms that extract metadata from datasets and individual files using a flexible JSON-LD based data structure (with the ability to encode controlled vocabularies where available) and 2) an aggregation procedure that merges the aggregated metadata across parsers and stores them into compressed files that are optimized for bandwidth-efficient exchange and can be queried directly, or used as input into SQL or graph databases for data discovery applications. Extracted metadata will be included within the same datasets under Git and git-annex version control for unambiguous referencing and versatile data logistics. In parallel development we will improve interoperability of DataLad with existing data publishing portals (such as Figshare and OSF) by taking advantage of extracted metadata (e.g., Author, Description) to prefill required fields, and also by bundling the entire Git object store within the publication to make such published datasets installable back by DataLad without any loss of information. To make such published datasets discoverable, we will establish a crowd-sourced registry (with a RESTful API) which will get announcements on the availability of new datasets upon publication and aggregate their metadata to enable querying across datasets and data hosting providers. The final development will be the integration of DataLad within the brainlife.io data marketplace. This will make it possible to search and install datasets on brainlife.io as well as to process the data utilizing the brainlife.io analyses Apps on various NSF-funded national cyberinfrastructure high-throughput computer systems.<br/><br/>A companion project is being funded by the Federal Ministry of Education and Research, Germany (BMBF).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Texas at Austin,,United States,OSF (Open Science Framework),Franco Pestilli,2021-10-01,2024-08-31,,,2021,152711,USD,"152,711.00",nsf,,2148700,"Collaborative Proposal: CRCNS US-German Data Sharing Proposal: DataLad - a decentralized system for integrated discovery, management, and publication of digital objects of science","Scientists collect terabytes of critical data every year. Recently a strong open science movement has generated traction for the beneficial practice of sharing data across laboratories, universities and research institutions. Yet, sharing data is not enough. Data must be shared using standardized formats and accompanied by curated metadata to allow for tracking, search, and organization. Metadata are essential for scientific discovery, as they are routinely used to complete all data analyses. However, to date, most brain projects focus on collecting or analyzing data, not on metadata management. Typical metadata records consist of heterogeneous study descriptions, developed at study release stage, without consistency across records or standard mechanisms to track changes. <br/>This project will increase access to brain data and improve metadata handling by combining two NSF-funded projects. It will develop a first-of-its-kind metadata management system able to track data and metadata distributed across heterogeneous geographical locations, storage systems and data formats. This portion of the project will expand the functionality of a previously funded NSF project DataLad. DataLad will also be enhanced to interoperate with major data repositories such as OSF and Figshare. Furthermore, the project will use the NSF-funded cloud computing platform brainlife.io to create a data and metadata marketplace by gathering data from multiple currently separated repositories into a single ecosystem . The goal is to improve interoperability across open science projects and make data and metadata easily searchable and available for computing on national cyberinfrastructure systems, ultimately advancing scientific discovery by increasing data discoverability, utilization, and publication. <br/><br/>This project will generate various technological advances. The core target will be an extensible system capable of automated gathering of metadata from various domains. It will be comprised of two major components: 1) a set of metadata parser algorithms that extract metadata from datasets and individual files using a flexible JSON-LD based data structure (with the ability to encode controlled vocabularies where available) and 2) an aggregation procedure that merges the aggregated metadata across parsers and stores them into compressed files that are optimized for bandwidth-efficient exchange and can be queried directly, or used as input into SQL or graph databases for data discovery applications. Extracted metadata will be included within the same datasets under Git and git-annex version control for unambiguous referencing and versatile data logistics. In parallel development we will improve interoperability of DataLad with existing data publishing portals (such as Figshare and OSF) by taking advantage of extracted metadata (e.g., Author, Description) to prefill required fields, and also by bundling the entire Git object store within the publication to make such published datasets installable back by DataLad without any loss of information. To make such published datasets discoverable, we will establish a crowd-sourced registry (with a RESTful API) which will get announcements on the availability of new datasets upon publication and aggregate their metadata to enable querying across datasets and data hosting providers. The final development will be the integration of DataLad within the brainlife.io data marketplace. This will make it possible to search and install datasets on brainlife.io as well as to process the data utilizing the brainlife.io analyses Apps on various NSF-funded national cyberinfrastructure high-throughput computer systems.<br/><br/>A companion project is being funded by the Federal Ministry of Education and Research, Germany (BMBF).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Montclair State University,,United States,Zenodo,Katherine Herbert-Berger,2023-09-01,2025-08-31,,,2023,46996,USD,"46,996.00",nsf,,2320148,Collaborative Research: CyberTraining: Pilot: Cyberinfrastructure-Enabled Machine Learning for Understanding and Forecasting Space Weather,"Space weather (SWx) refers to the transients in the space environment traveling from the Sun to Earth. SWx affects the life of human beings, including communication, transportation, power supplies, national defense, space travel, and more. In the recent decade, tackling the difficult task of understanding and forecasting violent solar eruptions, which are sources of SWx, and their terrestrial impacts has become a strategic national priority. Cyberinfrastructure (CI) is an extremely important part of SWx research, as many terabytes of data are generated daily from different sources. This collaborative project between New Jersey Institute of Technology (NJIT) and Montclair State University (MSU) builds upon a National Science Foundation funded CI platform for sharing CI enabled machine learning (ML) methods, tools, and resources for SWx data exploration and event prediction. The project incorporates the skills and lessons learned from the development of the NSF funded CI platform into a course curriculum. By transforming research results and findings into teaching modules, the project trains potential ML professionals to develop advanced CI enabled methods for understanding, monitoring, and forecasting SWx. Both NJIT and MSU are minority serving institutions with ample resources to support underrepresented students. Experienced project leaders oversee diversity, equity, and inclusion efforts for the project development.<br/><br/>This project makes contributions to CI training by (1) developing learning modules for a new computer science graduate course, (2) providing students with opportunities to gain hands on experience in implementing ML solutions for SWx problems, (3) exposing students to advances in machine learning as a service, operational near real time SWx forecasting systems, and predictive intelligence with Binder enabled Zenodo archived open source ML tools, and (4) assessing the teaching and mentoring methods using formative and summative approaches. The principal investigators work with undergraduate students to develop CI resources and improve the sustainability of CI enabled ML tools. SWx has a profound impact on the Earth system. Building the SWx readiness merits substantial efforts on several fronts, including research, forecast, and mitigation plan. The new course nourishes graduate students, preparing them to become CI professionals capable of contributing to SWx monitoring and predictive analytics in general. The project provides training of the workforce in SWx research, which is critically important in many areas such as safety of space programs, radio communications and power grids. Knowledge generated from the project also has broader applications in other areas of science. The program, while small and pilot, can help address the need of CI professionals in New Jersey.<br/><br/>This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Astronomical Sciences within the NSF Directorate for Math and Physical Sciences (MPS) and the Division of Research, Innovation, Synergies, and Education (RISE) within the NSF Directorate for Geosciences (GEO).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,New Jersey Institute of Technology,,United States,Zenodo,Jason Wang,2023-09-01,2025-08-31,,,2023,190291,USD,"190,291.00",nsf,,2320147,Collaborative Research: CyberTraining: Pilot: Cyberinfrastructure-Enabled Machine Learning for Understanding and Forecasting Space Weather,"Space weather (SWx) refers to the transients in the space environment traveling from the Sun to Earth. SWx affects the life of human beings, including communication, transportation, power supplies, national defense, space travel, and more. In the recent decade, tackling the difficult task of understanding and forecasting violent solar eruptions, which are sources of SWx, and their terrestrial impacts has become a strategic national priority. Cyberinfrastructure (CI) is an extremely important part of SWx research, as many terabytes of data are generated daily from different sources. This collaborative project between New Jersey Institute of Technology (NJIT) and Montclair State University (MSU) builds upon a National Science Foundation funded CI platform for sharing CI enabled machine learning (ML) methods, tools, and resources for SWx data exploration and event prediction. The project incorporates the skills and lessons learned from the development of the NSF funded CI platform into a course curriculum. By transforming research results and findings into teaching modules, the project trains potential ML professionals to develop advanced CI enabled methods for understanding, monitoring, and forecasting SWx. Both NJIT and MSU are minority serving institutions with ample resources to support underrepresented students. Experienced project leaders oversee diversity, equity, and inclusion efforts for the project development.<br/><br/>This project makes contributions to CI training by (1) developing learning modules for a new computer science graduate course, (2) providing students with opportunities to gain hands on experience in implementing ML solutions for SWx problems, (3) exposing students to advances in machine learning as a service, operational near real time SWx forecasting systems, and predictive intelligence with Binder enabled Zenodo archived open source ML tools, and (4) assessing the teaching and mentoring methods using formative and summative approaches. The principal investigators work with undergraduate students to develop CI resources and improve the sustainability of CI enabled ML tools. SWx has a profound impact on the Earth system. Building the SWx readiness merits substantial efforts on several fronts, including research, forecast, and mitigation plan. The new course nourishes graduate students, preparing them to become CI professionals capable of contributing to SWx monitoring and predictive analytics in general. The project provides training of the workforce in SWx research, which is critically important in many areas such as safety of space programs, radio communications and power grids. Knowledge generated from the project also has broader applications in other areas of science. The program, while small and pilot, can help address the need of CI professionals in New Jersey.<br/><br/>This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Astronomical Sciences within the NSF Directorate for Math and Physical Sciences (MPS) and the Division of Research, Innovation, Synergies, and Education (RISE) within the NSF Directorate for Geosciences (GEO).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Center for Open Science,,United States,OSF (Open Science Framework),Brian Nosek,2019-11-01,2024-10-31,,,2019,997381,USD,"997,381.00",nsf,,1937698,An EHR Core Research (ECR) Data Resource Hub to catalyze culture change and community building for improving rigor and reproducibility in STEM education research,"The Center for Open Science (COS) will create an EHR Core Research (ECR) Data Resource Hub to facilitate rigorous and reproducible research practices such as data sharing and study registration across the STEM (science, technology, engineering and mathematics) education research community. The Hub will integrate training materials, infrastructure, community engagement, and innovation in research to advance rigorous research skills and behavior. In addition, the Hub will foster innovation in open and reproducible research practices for the breadth of research activities in education including experimental, observational, longitudinal, and qualitative methods. Finally, the Hub will connect the STEM education research community with related disciplinary and multi-disciplinary research communities to leverage shared insights and knowledge building. This effort is funded by the ECR program which invests in STEM education research that emphasizes rigorous development of theory and accumulation of knowledge to inform efforts to address challenges in STEM interest, learning and participation, for all groups and all ages in formal and informal settings. ECR strives to further fundamental research that informs knowledge across three research tracks: Research on STEM Learning and Learning Environments, Research on Broadening Participation in STEM fields, and Research on STEM Workforce Development.<br/><br/>With partners across the education research community, COS will create the ECR Data Resource Hub to serve four integrated functions organized into a single portal: 1) Knowledge: The Hub will consolidate existing education, training, and support materials for the what, why, and how of doing rigorous, open, reproducible science. 2) Infrastructure: The Hub will link together existing services that support STEM education research and leveraging COS's existing public Open Science Framework and SHARE dataset infrastructure services. These connections will improve discovery of tools and content and facilitating adoption of new behaviors. 3) Social: The Hub will conduct outreach and community building to catalyze a grassroots movement for improving research practices. This will include webinars and training for methodology innovations and providing researchers with technical assistance. The Hub will also host action-oriented conferences and organize formal and informal events at other society meetings. 4) Innovation: The Hub will foster innovation in education, training, and support materials for STEM education research methodologies. In particular, the Hub will coordinate community engagement for improving research rigor (registration, sharing standards) for observational studies, longitudinal research, qualitative research, and research with existing datasets. With an emphasis on fostering a grassroots network and integrating existing technologies, the Hub will become a sustainable, integrated catalyst of knowledge and innovation for the STEM education research enterprise. The result will be a community of scholars, services, and events that will foster continuous improvement in the rigor of STEM education research.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADOPT_L,Adoption,National Science Foundation,https://ror.org/021nxhr62,Public,Arizona State University,,United States,OSF (Open Science Framework),Karen Watanabe,2021-03-15,2025-02-28,,,2021,947928,USD,"947,928.00",nsf,,2054061,CIBR Multispecies Ovary Tissue Histology Electronic Repository,"The Multispecies Ovary Tissue Histology Electronic Repository will provide public access to digitized microscopic images of ovary tissues along with information that ensures image integrity and quality. Currently, there is no electronic repository of ovary histology slides that preserves these valuable research collections for future generations. This repository will provide a web-accessible, open resource for scientists, educators, and the public to stimulate collaboration and scientific research. Educators may use the slide images in a range of courses from reproductive biology to teaching computerized image analysis.<br/><br/>Reproduction is vital for sustaining all living organisms, and multiple strategies exist among different species. The long-term goals for this project are to increase reproductive science capacity and infrastructure; and to serve as a resource for educators. The tool builds upon existing openly available resources, e.g., the Open Science Framework, to foster data sharing and collaboration. Metadata about each image ensures image quality and provides additional details about the animal and experimental design. An initial set of species (i.e., hundreds of vertebrate species including non-human primates, other mammals, fishes, and amphibians) will be included with a long-term goal that scientists will contribute data from additional species. Value-added data segmentation results will be made available along with the procedures used to generate the results. Upon completion, The respository will facilitate comparative studies of ovarian development and folliculogenesis to better understand: reproductive strategies across species and inspire new ideas for ensuring the survival of threatened and endangered species; the similarities and differences between vertebrate species at the organ, tissue and cellular level; and mechanisms that can be encoded in predictive mathematical/computational models that can extract additional value from the existing data and may lead to the reduced use of experimental animals. Biology is increasingly dependent upon quantitative data analysis, and this project should inspire computational thinking in biology broadly, while developing specific skills in microscopy, computer programming, and data and image analysis. Research results may be obtained at: mother-db.org.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Colorado at Boulder,,United States,OSF (Open Science Framework),Robert McLeod,2020-01-15,2024-12-31,,,2020,815354,USD,"815,354.00",nsf,,1935594,SitS NSF-UKRI: Phytoelectronic Soil Sensing,"The research objectives of this project at the University of Colorado, University of Cambridge in the UK and USDA-ARS are to measure the state of the soil accurately, densely and remotely using plants as in situ chemical laboratories. Correlations between the state of the soil and the contents of the major water-conducting tissue in plants, the xylem, are well-established. Xylem contents will be analyzed in ""interrogator plants"" by implanting bioelectronic sensors in plant stems, inducing xylem to form around them and remotely communicating data from these sensors by low-power radio transmission. This approach will avoid the complexity of sensing the soil directly by instead detecting the chemical response of vascular fluids to chemical and biological changes in the soil around the roots. These fluids, which are transported by the woody xylem tissues, are under negative pressure and thus typically difficult to access. The project will therefore investigate a number of regeneration techniques for surgically implanted, small sensors such that these sensors become associated with xylem tissue in graft junctions, much like the grafting currently used routinely in fruit trees. The entire small sensor including implanted electronics and regenerative coating will be screen-printed for very low cost. Screen printing recipes and other enabling techniques will be shared with the public through the Open Science Framework. Public use of these results will be further fostered by funded kits distributed to teams through the international BioMaker and OpenPlant programs.<br/><br/>The research will explore the new field of phytoelectronics, the convergence of botany for biorecognition, bioelectronics for chemo-sensing, internet-of-things (IoT) electronics for communication, and machine-learning for classification. The goals of the research are to 1) create an inexpensive, potentially biodegradable platform for multi-variate sensing of the soil utilizing the inherent robustness of living plants to operate autonomously in variable conditions; 2) merge these plants with the IoT in which buried roots extract and communicate soil state chemically to embedded multi-analyte, electronic sensors that then digitize and relay these data to servers for integration and machine learning; and 3) advance understanding of the interaction of soil and the biosphere by selecting plants specialized for specific chemical, pathogen or ecological signals and using them as instruments. The team will accomplish these goals by 1) printing the multi-analyte sensors based on arrays of organic electrochemical transistors individually functionalized with ion specific membranes, 2) creating printable drug-release coatings for the electronics that encourage regeneration of xylem tissue near the surgically implanted sensor, and 3) connecting these ""chipped plants"" to RFID or LoRA backscatter communication tags which are interrogated remotely to retrieve digitized sensor response. At program end, the combination of these studies should enable the soil nitrate concentration in a cornfield to be monitored daily with resolution down to square meters.<br/><br/>This project was awarded through the ""Signals in the Soil (SitS)opportunity, a collaborative solicitation that involves the ENG/CBET and BIO/IOS divisions of the National Science Foundation (NSF), the United States Department of Agriculture National Institute of Food and Agriculture (USDA NIFA) and the following United Kingdom Research and Innovation (UKRI) research councils: 1) The Natural Environment Research Council (NERC), 2) the Biotechnology and Biological Sciences Research Council (BBSRC), 3) the Engineering and Physical Sciences Research Council (EPSRC), and the Science and Technology Facilities Council (STFC).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"DeTar, Rachael Ann",,United States,Zenodo,Rachael DeTar,2022-10-01,2025-09-30,,,2022,216000,USD,"216,000.00",nsf,,2208908,NSF Postdoctoral Fellowship in Biology,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2022. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Rachael DeTar is ""Plant Organelle RNA Secondary Structure and Post-Transcriptional Modification"". The host institution for the fellowship is the Colorado State University Biology Department and the sponsoring scientist is Dr. Daniel Sloan. <br/><br/>RNAs are often described as intermediary sets of instructions copied from the genome (DNA) and ferried to the cellular machinery which produces proteins. However, RNA is more than just a mobile mimic of genomic DNA - one unique property of RNA is that it is typically single-stranded, which allows it to fold upon itself into specific 3-D structures based on the sequence. The structures that RNAs adopt can influence if and how they are used by the cell to make proteins. RNA folding is often also influenced by environmental conditions, especially temperature. Thus, RNA folding could be a built-in switch for changing cell activities in response to the environment. In some systems such as plant chloroplasts and mitochondria, RNAs can also be edited so that their sequence reads differently than the genomic DNA. Thus, this research aims to answer two questions: 1) Does RNA editing affect the secondary structure of plant mitochondria and chloroplast RNAs? 2) How do changes in RNA editing, and structure influence a plant’s ability to survive under stressful conditions? This PGRP fellowship project will investigate these questions using computational modeling techniques and Next-Generation sequencing in a diverse array of plants, including crop species. This research is important for society because it will provide insights into how plants cope with temperature stress on the molecular level, which will inform the breeding of stress-tolerant crops. In the short term, this project will have broader impacts on undergraduate education by initiating an internship program for students with disabilities. <br/><br/>The overarching goal of this research is to test the hypothesis that the relationship between post-transcriptional modifications and RNA secondary structure has fundamentally shaped plant organelle gene expression and adaptability to abiotic stress. Many RNA editing events in plant organelle transcriptomes result in non-synonymous changes to transcript codons and revert amino acid sequence. Yet, it is unclear if these edits would also meaningfully influence RNA secondary structure. The first experiment will be to run a large-scale analysis of RNA editing and secondary structure in diverse plant and green algal lineages to predict if editing events result in conserved RNA secondary structure in non-coding sequences and at synonymous sites. This will be accomplished by first cataloging organelle RNA editing sites using preexisting annotations and publicly available genome and transcriptome data. Then, an array of structure prediction tools will determine if putative editing events reliably result in the conserved secondary structure of transcripts across lineages. Next up, the link between RNA editing, structure, and stress adaptation will be addressed empirically using secondary structure mapping via DMS-MaPseq on organelle RNA. This experiment will compare the “editome” and “structurome” of Arabidopsis thaliana and related extremophiles cold-tolerant Eutrema salsuginum and heat-tolerant Anastatica hierochuntica grown over a range of temperatures. Research deliverables including high-resolution organelle transcriptomes and new computational and empirical methods for RNA secondary structure prediction will be uploaded to the NCBI Sequence Read Archive or be deposited on the public science database Zenodo. Keywords: plant organelle, RNA editing, RNA secondary structure.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Swift, Joel F",,United States,Zenodo,Joel Swift,2023-07-01,2026-06-30,,,2023,249000,USD,"249,000.00",nsf,,2305703,NSF Postdoctoral Fellowship in Biology: Genomic and Metagenomic Mechanisms of flood Tolerance in Maize and Tripsacum dactyloides,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2023. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Joel F. Swift is ""Genomic and metagenomic mechanisms of flood tolerance in maize and Tripsacum dactyloides"" The host institution for the fellowship is the University of Kansas and the sponsoring scientist is Dr. Maggie R. Wagner.<br/><br/>As the global climate changes, flood events are becoming more frequent and severe. While water is a basic requirement for plants, too much can have dramatic consequences. When flooded, fundamental root functions like gas diffusion decline dramatically. This leads to oxygen starvation, the buildup of ethylene (a key stress hormone), and eventually plant death. Many plant species cope by producing root aerenchyma, a spongy tissue that assists in gas diffusion. Some species continuously form aerenchyma, while other species only form aerenchyma under stress. Ethylene acts as the stimulus for both modes, but the mechanisms of formation differ. Root-associated microorganisms can break down ethylene precursors, which modifies ethylene levels, and potentially contributes to plant flood stress adaptation. This research will explore the links between plant genetics, root physiology, and the microbiome to understand their effects on plant flood responses. This will provide key information to assist in breeding flood-resilient crops. The researcher will develop expertise in quantitative genetics, plant physiology, and anatomical analysis. As a community college graduate, Joel will engage and mentor students from the host institution and local community colleges; seeking to further promote diversity in STEM and instill an interest in plant science careers, from the basic to applied biological perspectives. <br/><br/>Zea mays (corn or maize) is a globally important crop that is cultivated widely across temperate North America. Corn’s closest temperate relative is Tripsacum dactyloides (gamagrass). Corn (stress-induced) and gamagrass (constitutive) represent the spectrum of aerenchyma production strategies. This project will utilize these species as a comparative system for examining the effects of intra- and inter-specific root trait variation on the microbiome under flood stress. Several corn genotypes will be used to establish a temporal baseline for flood responses. Corn gene expression, elemental composition, and root microbiome composition will be measured before, during, and after recovery from waterlogging and submergence. Root phenotypic variation will be quantified across a gamagrass diversity panel. Root gene expression of accessions with contrasting performance under waterlogging will be compared, with a focus on the differential transcriptional regulation of ethylene biosynthesis. Conditioned soils from waterlogging experiments will be collected and reinoculated onto new seedlings to test whether root-driven changes in the soil microbiota affect corn and gamagrass phenotypes and fitness in a contemporary flood. Results will be disseminated via conference presentations, publication in open-access journals, and by depositing sequence data and code into public repositories including the NCBI Short Read Archive, GitHub, and Zenodo.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Long Bria,,United States,OSF (Open Science Framework),Bria Long,2017-09-01,2019-08-31,,,2017,138000,USD,"138,000.00",nsf,,1714726,Interactions between word learning and visual category development in infancy,"This award was provided as part of NSF's Social, Behavioral and Economic Sciences Postdoctoral Research Fellowships (SPRF) program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. To learn a concrete noun (e.g., dog), infants must learn how to generalize this word to multiple instances from the same category (e.g., to both golden retrievers and Chihuahuas). How do infants accomplish this feat? The overarching goal of this project is to broaden our understanding of how infants learn the visual categories that words refer to. Specifically, this project tests whether novel labels serve as social cues to help infants form more specific representations of new visual categories. To accomplish this, the project will fuse techniques from vision science and word learning to examine the kind of visual information infants map to novel words (vs. novel tones) during short eye-tracking experiments. Furthermore, the project will model infants' behaviors using computational models of word learning. Thus, this project will paint a detailed picture of the visual information that infants map to novel words. The outcome of this proposal could have implications for children with autism spectrum disorders (ASD), who tend to have difficulty processing social cues during word learning. Eventually, performance on these short eye-tracking tasks could serve as assessments for infants at-risk for ASD and as outcome measures in ASD intervention studies. Finally, this project will also create new datasets and tools that will be made publicly available using the Open Science Framework.<br/><br/>How do infants generalize from individual instances to learn the visual category that a word refers to? Perhaps language plays a role in binding instances together. Prior work suggests that when infants hear a novel label (versus a novel tone), they expect to see objects from a new visual category. However, if infants treat novel labels as strong social cues that they should form an object category, Bayesian models of word learning predict that novel labels should also help infants form a more specific representation of this category. This project tests this hypothesis by combining eye-tracking behavioral experiments, computational models of early visual processing, and Bayesian models of word learning. First, the project will examine if labels help infants form tighter visual representations of novel categories with respect to other, novel objects. Second, the project will examine if labels change the kinds of visual features (e.g., texture vs. 3D form) infants use to represent novel categories, leveraging both texture synthesis models and 3D printing techniques. Third, the project will examine if an optimal model of Bayesian word learning predicts the behavioral results. This project takes a novel approach to studying early word learning by incorporating modern tools from visual perception, and thus makes new connections between the fields of language acquisition and visual cognitive development while furthering our understanding of both.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Hoffarth Mark R,,Canada,OSF (Open Science Framework),Mark Hoffarth,2017-09-01,2019-08-31,,,2017,138000,USD,"138,000.00",nsf,,1714446,Advancing System Justification Theory,"This award was provided as part of NSF's Social, Behavioral and Economic Sciences Postdoctoral Research Fellowships program. The goal of the SPRF program is to prepare promising, early career doctoral-level scientists for scientific careers in academia, industry or private sector, and government. SPRF awards involve two years of training under the sponsorship of established scientists and encourage Postdoctoral Fellows to perform independent research. NSF seeks to promote the participation of scientists from all segments of the scientific community, including those from underrepresented groups, in its research programs and activities; the postdoctoral period is considered to be an important level of professional development in attaining this goal. Each Postdoctoral Fellow must address important scientific questions that advance their respective disciplinary fields. Many social groups are disadvantaged in society, which can have a negative impact on their lives. System Justification Theory (SJT) has been widely used to examine many forms of inequality. Sexual minorities are disadvantaged in many ways, yet there has been little research on this topic from an SJT perspective. This project examines how several attitudes and beliefs impact sexual minorities' life experiences such as ""coming out"", coping with discrimination, and participating in political activism. This research is scientifically important because it builds on and expands psychological and political theory by applying what we have learned in other domains to increase our understanding of the experiences of sexual minorities. This research may benefit sexual minorities, and society more broadly, in many ways. Sexual minorities currently experience high rates of mental health problems (e.g., loneliness, depression, anxiety). This research may aid in promoting mental health, well-being, and physical health among sexual minorities. In addition, this research may help improve the functioning of organizations by, for example, increasing diversity, acceptance, and group functioning in the workplace.
System Justification Theory (SJT) is a political psychological theory aimed at understanding how people respond to a wide range of social inequalities and discrimination (e.g., inequality based on race, gender, social class). This theory has been used to examine how members of both advantaged and disadvantaged groups respond to inequality and discrimination. To date, relatively little research has used SJT to understand the experiences of sexual minorities. The purpose of this research is to expand the purview of system justification theory by developing and testing a theoretical account for how sexual minorities respond to heterosexism based on psychological and situational factors. First, this project involves collecting data from a diverse range of sexual minorities to understand variability in the experiences of sexual minorities based on their life experiences, beliefs, and values. Factors such as the internalization of negative stereotypes and beliefs about gays and lesbians are hypothesized to play an important role. This project also involves experimentally examining how sexual minorities respond to a range of experiences that may occur in their everyday life to understand how sexual minorities cope with and react to heterosexism and discrimination. For instance, sexual minorities may respond to negative experiences and threats to their well-being by being less open about their sexuality or engaging in political activism. This research will help determine the extent to which previous findings within a System Justification framework may apply to sexual minorities, and inform attempts to improve the functioning of our increasingly diverse society. After publication, research materials and de-identified data will be made available to other researchers on the Open Science Framework to facilitate further research on sexual minorities' experiences.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"ASSISTMENTS FOUNDATION, INC.",,United States,OSF (Open Science Framework),Cristina Heffernan,2023-04-01,2025-03-31,,,2023,45000,USD,"45,000.00",nsf,,2216035,Using ASSISTments for College Math: An Evaluation of the Effectiveness of Supports and Transferability of Findings,"This project aims to serve the national interest by improving student learning in mathematics and statistics using an online system that provides feedback to students while solving homework problems. A common teaching challenge is how best to support students when they are stuck on a mathematics problem in a homework assignment. When the goal is to support productive struggle and not just provide the correct answer, it is not always clear how much support should be provided. An existing free web-based platform allows teachers and researchers to author questions and solution step supports, and it makes student action data available to instructors and researchers. Previous research results on the use of this platform to support student learning and the use of formative feedback in instruction in secondary school classrooms was promising. Given the potential of the platform as a useful pedagogical tool in those settings, this project aims to adapt the platform for use at the undergraduate level, where research indicates the need for such supports in introductory level mathematics and statistics courses. Understanding how the technological supports provided to college students as they complete mathematics problems impacts student learning and confidence will provide important insights for the design and implementation of educational materials broadly.<br/><br/>By adapting prior studies, this project seeks to determine whether the use of an existing online platform for formative assessment of student work at the college level leads to similar gains in mathematics learning and analogous changes in pedagogical practices as has been reported at the middle school and high school levels. Over 100 randomized control trials have been conducted to evaluate the effectiveness of supports provided through the ASSISTments platform, but these have primarily occurred at levels of schooling prior to the undergraduate years. This project aims to determine whether the use of the platform at the college level leads to similar gains in learning and analogous changes in pedagogical practices. This will be accomplished by replicating studies at the college level which have been shown in the literature to be “Best So Far” supports – those supports which have significantly impacted student learning the most. To accomplish this, the project has four main aims. First is to support scalability by adding a feature to the platform which allows for the uploading of questions and solutions from the learning management system Canvas, thus creating a database of at least 500 problems aligned with college algebra, precalculus, calculus, and statistics curricula. A second aim is to design questions and feedback to improve student understanding and help them complete math homework problems, by creating 16 classroom-ready assignments on common topics in college algebra. Third is to use the platform in college mathematics courses and measure its impact on student learning, and persistence in STEM majors, thus generating large and rich datasets containing student actions within the platform. The fourth and final project aim is to track system usage by instructors during the semester, i.e., while problems are assigned and immediately after the due date, and also the persistence of system usage from semester-to-semester. Project results will be disseminated through the Open Science Framework and the platform’s website. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Belmont Abbey College,,United States,OSF (Open Science Framework),Kelly Smalenberger,2023-04-01,2025-03-31,,,2023,30095,USD,"30,095.00",nsf,,2216212,Using ASSISTments for College Math: An Evaluation of the Effectiveness of Supports and Transferability of Findings,"This project aims to serve the national interest by improving student learning in mathematics and statistics using an online system that provides feedback to students while solving homework problems. A common teaching challenge is how best to support students when they are stuck on a mathematics problem in a homework assignment. When the goal is to support productive struggle and not just provide the correct answer, it is not always clear how much support should be provided. An existing free web-based platform allows teachers and researchers to author questions and solution step supports, and it makes student action data available to instructors and researchers. Previous research results on the use of this platform to support student learning and the use of formative feedback in instruction in secondary school classrooms was promising. Given the potential of the platform as a useful pedagogical tool in those settings, this project aims to adapt the platform for use at the undergraduate level, where research indicates the need for such supports in introductory level mathematics and statistics courses. Understanding how the technological supports provided to college students as they complete mathematics problems impacts student learning and confidence will provide important insights for the design and implementation of educational materials broadly.<br/><br/>By adapting prior studies, this project seeks to determine whether the use of an existing online platform for formative assessment of student work at the college level leads to similar gains in mathematics learning and analogous changes in pedagogical practices as has been reported at the middle school and high school levels. Over 100 randomized control trials have been conducted to evaluate the effectiveness of supports provided through the ASSISTments platform, but these have primarily occurred at levels of schooling prior to the undergraduate years. This project aims to determine whether the use of the platform at the college level leads to similar gains in learning and analogous changes in pedagogical practices. This will be accomplished by replicating studies at the college level which have been shown in the literature to be “Best So Far” supports – those supports which have significantly impacted student learning the most. To accomplish this, the project has four main aims. First is to support scalability by adding a feature to the platform which allows for the uploading of questions and solutions from the learning management system Canvas, thus creating a database of at least 500 problems aligned with college algebra, precalculus, calculus, and statistics curricula. A second aim is to design questions and feedback to improve student understanding and help them complete math homework problems, by creating 16 classroom-ready assignments on common topics in college algebra. Third is to use the platform in college mathematics courses and measure its impact on student learning, and persistence in STEM majors, thus generating large and rich datasets containing student actions within the platform. The fourth and final project aim is to track system usage by instructors during the semester, i.e., while problems are assigned and immediately after the due date, and also the persistence of system usage from semester-to-semester. Project results will be disseminated through the Open Science Framework and the platform’s website. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of North Carolina at Charlotte,,United States,OSF (Open Science Framework),Allison McCulloch,2023-04-01,2025-03-31,,,2023,134869,USD,"134,869.00",nsf,,2216036,Using ASSISTments for College Math: An Evaluation of the Effectiveness of Supports and Transferability of Findings,"This project aims to serve the national interest by improving student learning in mathematics and statistics using an online system that provides feedback to students while solving homework problems. A common teaching challenge is how best to support students when they are stuck on a mathematics problem in a homework assignment. When the goal is to support productive struggle and not just provide the correct answer, it is not always clear how much support should be provided. An existing free web-based platform allows teachers and researchers to author questions and solution step supports, and it makes student action data available to instructors and researchers. Previous research results on the use of this platform to support student learning and the use of formative feedback in instruction in secondary school classrooms was promising. Given the potential of the platform as a useful pedagogical tool in those settings, this project aims to adapt the platform for use at the undergraduate level, where research indicates the need for such supports in introductory level mathematics and statistics courses. Understanding how the technological supports provided to college students as they complete mathematics problems impacts student learning and confidence will provide important insights for the design and implementation of educational materials broadly.<br/><br/>By adapting prior studies, this project seeks to determine whether the use of an existing online platform for formative assessment of student work at the college level leads to similar gains in mathematics learning and analogous changes in pedagogical practices as has been reported at the middle school and high school levels. Over 100 randomized control trials have been conducted to evaluate the effectiveness of supports provided through the ASSISTments platform, but these have primarily occurred at levels of schooling prior to the undergraduate years. This project aims to determine whether the use of the platform at the college level leads to similar gains in learning and analogous changes in pedagogical practices. This will be accomplished by replicating studies at the college level which have been shown in the literature to be “Best So Far” supports – those supports which have significantly impacted student learning the most. To accomplish this, the project has four main aims. First is to support scalability by adding a feature to the platform which allows for the uploading of questions and solutions from the learning management system Canvas, thus creating a database of at least 500 problems aligned with college algebra, precalculus, calculus, and statistics curricula. A second aim is to design questions and feedback to improve student understanding and help them complete math homework problems, by creating 16 classroom-ready assignments on common topics in college algebra. Third is to use the platform in college mathematics courses and measure its impact on student learning, and persistence in STEM majors, thus generating large and rich datasets containing student actions within the platform. The fourth and final project aim is to track system usage by instructors during the semester, i.e., while problems are assigned and immediately after the due date, and also the persistence of system usage from semester-to-semester. Project results will be disseminated through the Open Science Framework and the platform’s website. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Worcester Polytechnic Institute,,United States,OSF (Open Science Framework),Neil Heffernan,2023-04-01,2025-03-31,,,2023,90000,USD,"90,000.00",nsf,,2215842,Using ASSISTments for College Math: An Evaluation of the Effectiveness of Supports and Transferability of Findings,"This project aims to serve the national interest by improving student learning in mathematics and statistics using an online system that provides feedback to students while solving homework problems. A common teaching challenge is how best to support students when they are stuck on a mathematics problem in a homework assignment. When the goal is to support productive struggle and not just provide the correct answer, it is not always clear how much support should be provided. An existing free web-based platform allows teachers and researchers to author questions and solution step supports, and it makes student action data available to instructors and researchers. Previous research results on the use of this platform to support student learning and the use of formative feedback in instruction in secondary school classrooms was promising. Given the potential of the platform as a useful pedagogical tool in those settings, this project aims to adapt the platform for use at the undergraduate level, where research indicates the need for such supports in introductory level mathematics and statistics courses. Understanding how the technological supports provided to college students as they complete mathematics problems impacts student learning and confidence will provide important insights for the design and implementation of educational materials broadly.<br/><br/>By adapting prior studies, this project seeks to determine whether the use of an existing online platform for formative assessment of student work at the college level leads to similar gains in mathematics learning and analogous changes in pedagogical practices as has been reported at the middle school and high school levels. Over 100 randomized control trials have been conducted to evaluate the effectiveness of supports provided through the ASSISTments platform, but these have primarily occurred at levels of schooling prior to the undergraduate years. This project aims to determine whether the use of the platform at the college level leads to similar gains in learning and analogous changes in pedagogical practices. This will be accomplished by replicating studies at the college level which have been shown in the literature to be “Best So Far” supports – those supports which have significantly impacted student learning the most. To accomplish this, the project has four main aims. First is to support scalability by adding a feature to the platform which allows for the uploading of questions and solutions from the learning management system Canvas, thus creating a database of at least 500 problems aligned with college algebra, precalculus, calculus, and statistics curricula. A second aim is to design questions and feedback to improve student understanding and help them complete math homework problems, by creating 16 classroom-ready assignments on common topics in college algebra. Third is to use the platform in college mathematics courses and measure its impact on student learning, and persistence in STEM majors, thus generating large and rich datasets containing student actions within the platform. The fourth and final project aim is to track system usage by instructors during the semester, i.e., while problems are assigned and immediately after the due date, and also the persistence of system usage from semester-to-semester. Project results will be disseminated through the Open Science Framework and the platform’s website. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through its Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,PSI CHI INC,,United States,OSF (Open Science Framework),Martha Zlokovich,2023-10-01,2024-09-30,,,2023,73998,USD,"73,998.00",nsf,,2328235,Using a Novel Cross-cultural Platform to Train Social and Behavioral Sciences Undergraduates as Emerging Leaders in Best Research Practices,"This project aims to serve the national interest by training undergraduate students in the social and behavioral sciences to become emerging leaders in best research practices through engagement in cross-cultural collaboration and adoption of cutting-edge psychological research practices. This project will enhance the quality of psychological science research, as well as increase access for a broad range of undergraduate student researchers through a one-day conference incorporating a unique platform: Network for International Collaborative Exchange (NICE). NICE will serve as an ideal teaching tool as it incorporates evidence-based practices proven to substantially improve research quality, while facilitating crowd-based, cross-cultural collaboration that supports increased undergraduate participation in research. The project will serve as an important tool to help undergraduates develop critical skills needed to conduct high-quality research and contribute to research projects of global scale that significantly advance psychology as a science. <br/><br/>The overarching project goal is to educate and train students in the social and behavioral sciences to become emerging leaders equipped to begin adopting best research practices with the support of the NICE platform. Towards this goal the project team will pursue three specific objectives through a one-day conference and broad post-conference access to the conference materials. First, is introducing attendees through keynote speakers and panel discussions to ongoing discussion around research issues in psychological science including the replication crisis and Open Science methods. Second, is equipping attendees with knowledge and tools to address existing research issues by providing hands-on training workshops about the NICE platform and train-the-trainer sessions to give faculty and graduate student mentors the tools to teach the platform at their home institutions. Third, is supporting future research collaborations within the NICE framework by offering opportunities for networking and training on the crowd-based platform. The workshop’s impact will be evaluated, and the outcomes will be disseminated widely, including through the Research Advisory Committee pages on Psi Chi’s website and on the Open Science Framework website. Funding for this conference is from the NSF IUSE: EDU Program which supports research and development projects to improve the effectiveness of STEM education for all students.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Case Western Reserve University,,United States,OSF (Open Science Framework),Michael Rabinovich,2022-10-01,2025-09-30,,,2022,599185,USD,"599,185.00",nsf,,2219736,IMR: MM-1C: Effective Geolocation of Internet Hosts,"This project tackles the problem of determining the geographic location of Internet hosts from their Internet addresses (the “geolocation problem”). Geolocation is a fundamental problem in computer networking that affects numerous aspects of Internet operation, research, and development. Unfortunately, ample evidence shows that existing geolocation services are prone to errors and inaccuracies, especially when it comes to mapping content provider platforms. Beyond the obvious impact on applications relying on geolocation, these inaccuracies undermine the rigor of any research that utilizes geolocation. This research will develop novel techniques that improve the efficiency and accuracy of geolocation and leverage these techniques to systematically assess the accuracy of influential existing geolocation services. <br/><br/>Geolocation commonly involves measuring network delays from a set of “landmarks” (the hosts with known locations) to the geolocation target. By selecting – differently for different targets -- a small number of landmarks from a large pool of candidates, this project attempts to break the dilemma where a large number of landmarks is desired for higher accuracy but leads to scalability limits due to high measurement volumes. Through developing a new geolocation methodology, assessing if its new capabilities could make provably correct geolocation feasible for a substantial fraction of Internet hosts, and evaluating the accuracy of existing geolocation services, this activity will advance our knowledge in the area of Internet host geolocation, a fundamental problem in networking affecting numerous aspects of Internet development.<br/><br/>Advancing the state of the art in Internet host geolocation has broad impact through benefiting any applications and research that relies on geolocation. To the extent that it will show that provable geolocation is practical, this project will transform how networking research relying on geolocation is done, by allowing rigorous reasoning about host locations. Datasets containing active measurements, as well as software artifacts, produced in the course of this project will be made publicly available. The project will significantly enhance undergraduate and graduate education at CWRU and facilitate its ongoing efforts in broadening participation of underrepresented sections of the population in computer science.<br/><br/>All the data (anonymized when needed) and relevant software artifacts the project produces will be made available through the project website at http://engr.case.edu/rabinovich_michael/geolocation. The content itself will be stored at external public repositories such as github (github.com) and OSF (osf.io), while the project website will provide links to the content along with its description. This will be kept available for at least 5 years after the project completion.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Rensselaer Polytechnic Institute,,United States,OSF (Open Science Framework),Runye Zha,2020-04-15,2021-09-30,,,2020,200000,USD,"200,000.00",nsf,,2028763,RAPID: Polyelectrolyte Coatings as an Approach to Extend N95 Respirator Usage Lifespan,"This project will address the critical shortage of N95 respirator masks currently facing medical professionals at the front lines of the evolving novel coronavirus 2019 (COVID-19) pandemic. The research will leverage the expertise of the investigators to develop a simple and effective approach for extending the usable life of N95 respirator masks and similar personal protective equipment (PPE). The investigators will explore the application of commercially available polyelectrolytes (a polymer with a repeating charged unit) as thin film coatings on the masks. These coatings can potentially deactivate enveloped viruses such as SARS-COV-2, increase the barrier to penetration by viral particles, and maintain performance integrity after solvent-based sterilization protocols. An independent laboratory will evaluate the performance of the modified masks relative to the National Institute for Occupational Safety and Health (NIOSH) N95 standards. Clinical professionals at Mt. Sinai School of Medicine in New York City, a region currently battling the highest infection rate, will test prototype masks and work with the investigators to perfect the coating procedure. The outcome of the project will be a coating protocol that uses non-toxic components and can be applied by end users in a hospital setting on procured masks. Findings will be made immediately accessible to the public through pre-print servers, public repositories such as the Open Science Framework, and social media platforms. Accordingly, society can work together to mitigate the impact of the PPE shortage and minimize further infections through clinician-patient contacts. <br/><br/>The overall goal of the project is to develop a simple and effective post-processing step to coat manufactured nonwoven polypropylene materials, e.g., N95 mask filters, in polyelectrolyte solutions. This is expected to impart a thin, uniform conformal coating exhibiting a semi-permanent charge. The polyelectrolyte coating will extend the usable life of existing medical PPE supplies by enabling use of common sterilization procedures. The polyelectrolyte coating may also augment the protective capabilities of PPE by enhancing material filtering efficiency and/or providing novel antiviral activity. The investigators will evaluate and optimize a coating procedure that healthcare personnel can directly apply to acquired PPE using commodity polymers. Incorporation of alkyl halides in the coating and polymer cross-linking will be explored to yield highly functional and resilient coatings. Scanning electron microscopy will be used to characterize coating uniformity, changes to material fiber structure, and resulting pore size distribution. Breathability after polymer coating will be assessed by measuring air permeation through the mask, and viral deactivation capabilities will be investigated through cytopathic and plaque formation assays with a model Biosafety Level II enveloped virus. An independent commercial laboratory will conduct NIOSH pre-certification testing to assess particle filtration relative to N-series respirator standards. Partners at the Mt. Sinai Icahn School of Medicine will test and implement prototypical processes in real time to resolve the PPE shortage.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Washington,,United States,OSF (Open Science Framework),Andrew Meltzoff,2018-12-15,2021-11-30,,,2018,399731,USD,"399,731.00",nsf,,1849902,Who Likes Computer Science? How Gender Stereotypes about Interest Shape Children's Motivation,"This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' motivation and capacities to pursue careers in the fields of science, technology, engineering, and mathematics (STEM) by preparing and interesting elementary- and middle-school students for STEM courses/programs in high school and eventually in STEM careers. This project is significant because it will deepen the understanding of the importance of interest stereotypes (stereotypes about who shows interest in STEM) and how they influence students' motivation to pursue STEM. The project seeks to address the following objectives: (1) to examine how interest stereotypes affect girls' motivation; (2) to study whether interest stereotypes have a stronger negative impact than ability stereotypes on motivation for computer science; and (3) explore whether it is possible to intervene to reduce the impact of interest stereotypes. The findings will have implications for many fields conducting research that aims to reduce educational inequalities linked to stereotypes. This research has the potential to lead to more powerful interventions to help children resist such stereotypes and remain open to pursuing interests in STEM. Another major contribution of this work is to advance social identity theory beyond stereotype threat research on ability stereotypes. The project impact broadens the focus in STEM education by designing real-world interventions that can intervene at the root of the problem to counteract stereotypes and promote STEM motivation. In addition, the project will promote the use of the Open Science Framework to allow free sharing of the data and materials. It will help give students the tools they need to resist interest stereotypes and promote their interest in STEM, help teachers identify the most powerful messages to send their students to boost their motivation for STEM, and use an educational outreach network to connect and share findings broadly, with educators, policymakers, and the entire community of stakeholders working to promote students' motivation in STEM. <br/><br/>The research will examine how interest stereotypes influence 8-12-year-old children's motivation for computer science. The focus on computer science is due to its low representation of women and highly stereotyped nature. Several experiments will test (a) how interest stereotypes about gender groups impact girls' motivation for novel activities, (b) the impact of interest stereotypes vs. ability stereotypes for computer science activities with girls and boys, and (c) a novel intervention to reduce the impact of interest stereotypes and promote girls' computer science motivation, by linking existing gender differences to environmental structures rather than inherent group differences. The project provides rigorous, theoretically-based research, which is evident through the inclusion of power analysis, reference to previously validated instruments, and reporting of psychometrics. The results will deepen understanding of the importance of interest stereotypes and how they influence children's motivation to pursue STEM, and will lay the groundwork for future interventions that directly target interest stereotypes to boost girls' motivation in computer science.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Coastal Carolina University,,United States,OSF (Open Science Framework),George Hitt,2023-10-01,2029-09-30,,,2023,965105,USD,"965,105.00",nsf,,2325921,Coaching and Retention for Engineering Students: Improving Low-Income Student Success in Engineering with Innovative Mentoring and Early Internship Experiences,"This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Coastal Carolina University, a public comprehensive liberal arts institution located in Conway, South Carolina. Over its 6-year duration, this project will fund scholarships to 11 unique full-time students who are pursuing bachelor’s degrees in Engineering Science. First-year students will receive up to four years of scholarship support. The project aims to increase student persistence and degree attainment in engineering by linking scholarships with effective supporting activities, including summer bridge courses, mentoring, and early professional engineering experiences. With the help of a tailored first-year curriculum and mentor coaching, the scholars will obtain employment in industry as engineering interns during their summer term as rising sophomores. Scholars will receive job-site mentoring from practicing engineers at the project’s industry partners who will provide and supervise internship experiences. The project will investigate improved practices in mentoring, assessment and evaluation of curriculum improvements, and effective mechanisms for industry feedback into higher education curricula. Because the Engineering Science program at Coastal Carolina University has a high population of underrepresented students, this project has the potential to broaden participation in engineering and to learn how mentoring and early internship experiences support retention and graduation of this student population.<br/><br/>The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Towards this end the project team will pursue three specific aims. First is to accommodate developmental math-ready engineering students using a two-course summer bridge program, integrating a math boot camp and an engineering graphics course, linked by a fun, skills-focused, exploratory rapid-prototyping design project. Second is to enhance student academic success through a program of mentoring focused on self-regulated learning strategies. Third, and finally, is to confer self-efficacy and motivational benefits accruing to degree completion, through a culminating, early engineering internship experience. This project will investigate the effects of summer bridge courses, mentoring, and early internship experiences on students’ self-efficacy and outcomes expectations, interest, and satisfaction in engineering, in the framework of Social Cognitive Career Theory. This project will investigate the factors in these project interventions that result in high satisfaction and persistence to degree completion for low-income students in engineering. Evaluation of the project will be conducted in light of Social Cognitive Career Theory. Mentoring reports, internship cover letters, workplace competency assessments, student interviews, and Motivated Strategies for Learning Questionnaires will be analyzed for benefits to students' motivational profiles and views of engineering and institutional data will be examined for impacts on Engineering program progression and completion. Results will be made available by a project page with the Open Science Framework, where all relevant project materials will be stored and publicly available. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Woods Hole Oceanographic Institution,,United States,Zenodo,Magdalena Andres,2024-02-01,2025-01-31,,,2024,195725,USD,"195,725.00",nsf,,2414853,RAPID: A Cost-Effective Approach for Characterizing Variability at High Temporal Resolution for Long Duration on the Continental Slope of the Southern Mid-Atlantic Bight,"This RAPID project is to deploy instrumentation to study the behavior of the Gulf Stream at the region where it detaches from the continental margin. Instrument deployments will be leveraged by ongoing activities in the area, as part of the Ocean Observatories Initiative's Pioneer array, near the shelf break north of Cape Hatteras. Likewise, these deployments will provide complementary information to that obtained from the Pioneer array. The RAPID project will involve students at different stages in college and graduate school.<br/><br/>This one-year RAPID grant is to deploy two inverted echo sounders (CPIEs, with current meters and pressure sensors) over the continental slope north of Cape Hatteras, where the Gulf Stream separates from the continental margin. Instruments will be installed at depths of 1000 m during a period of 4 years. Deployments will take place in June 2024 with ships of opportunity and adjacent to the new location of the Coastal Pioneer Array. Data will be sent to shore via satellite link and shared via a Zenodo repository. Information from these deployments will complement continental shelf data from the Pioneer array, and will be used to study multi-scale (in time) processes associated with Gulf Stream separation from the continental margin. As Broader Impacts, the CPIEs measurements will help in quantification of exchange processes between the shelf and the open ocean. The project will include two undergraduate and two graduate students.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Northwestern University,,United States,OSF (Open Science Framework),James Druckman,2020-09-01,2024-08-31,,,2020,2971978,USD,"2,971,978.00",nsf,,2017581,"Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023","Time-sharing Experiments for the Social Sciences (TESS) provides a platform for social scientists to conduct survey experiments on probability-based sample of United States adults. TESS democratizes access to high-quality, original experimental data, thereby putting the power of population-based survey experiments in the hands of researchers from all backgrounds, types of academic institutions, and career stages. TESS capitalizes on economies of scale by pooling expenses from otherwise separate studies, and makes all its data publicly available, providing an unparalleled archive of social science experimental stimuli and data that can be used for replications, re-analyses, and meta-analyses.<br/><br/>TESS accepts proposals from researchers at any career stage across the social sciences. These proposals are peer-reviewed, and the best are selected to be fielded. TESS fields projects using the NORC AmeriSpeak panel, which is the highest-quality probability-based Internet panel available for surveying US adults. Because TESS performs a large number of studies on this panel, we achieve significant cost savings than what the studies would cost if each were funded separately. TESS uses the Open Science Framework to archive all data and make it publicly available, and we will also be working with the Roper Center’s iPoll database to make TESS data even more accessible to secondary users.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Stanford University,,United States,OSF (Open Science Framework),Jeremy Freese,2020-09-01,2024-08-31,,,2020,519560,USD,"519,560.00",nsf,,2017464,"Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023","Time-sharing Experiments for the Social Sciences (TESS) provides a platform for social scientists to conduct survey experiments on probability-based sample of United States adults. TESS democratizes access to high-quality, original experimental data, thereby putting the power of population-based survey experiments in the hands of researchers from all backgrounds, types of academic institutions, and career stages. TESS capitalizes on economies of scale by pooling expenses from otherwise separate studies, and makes all its data publicly available, providing an unparalleled archive of social science experimental stimuli and data that can be used for replications, re-analyses, and meta-analyses.<br/><br/>TESS accepts proposals from researchers at any career stage across the social sciences. These proposals are peer-reviewed, and the best are selected to be fielded. TESS fields projects using the NORC AmeriSpeak panel, which is the highest-quality probability-based Internet panel available for surveying US adults. Because TESS performs a large number of studies on this panel, we achieve significant cost savings than what the studies would cost if each were funded separately. TESS uses the Open Science Framework to archive all data and make it publicly available, and we will also be working with the Roper Center’s iPoll database to make TESS data even more accessible to secondary users.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,New Jersey Institute of Technology,,United States,OSF (Open Science Framework),James Holbrook,2021-11-01,2023-10-31,,,2021,45909,USD,"45,909.00",nsf,,2124893,Collaborative Research: Project Incubation - New Jersey Institute of Technology Campus Alignment Review of Ethics,"Today’s US citizens need to be competent evaluators of scientific and technical claims that they encounter through social media, news stories, or professional communication. Their ability to identify and use verifiable facts impacts their personal choices and their active participation in public discussion. Professionals in scientific and technical careers need to approach their work with an understanding of ethical considerations, which include how the professional choices that they make in the face of ongoing and novel challenges impact citizens’ everyday lives. Given the broad social impacts of scientific and engineering research, ensuring the ethical and responsible conduct of research is vital to the welfare of the American public and promotes the progress of science. Universities must meet this need, both as sites of research and, most critically, as educators of future STEM researchers and workers. In this project, researchers examine how well institutional messaging that describes New Jersey Institute of Technology’s commitment to ethics aligns with students’ encounters with ethics in and out of the classroom. Ethics education aligns with the critical evaluation needs of citizens in two ways: first, by ensuring that the scientific and technological researchers of the future come to their work with robust training in ethics and next, by ensuring that higher education gives students practice in ethical reasoning. Skill in ethical reasoning facilitates students’ personal, vocational, and civic growth. Lessons learned from this study at this university will be used to improve alignment of ethics education at other US universities.<br/><br/>Researchers from Harvard University, Stanford University, and the University of South Florida who are members of a research consortium, the National Ethics Project (NEP), join forces with investigators from New Jersey Institute of Technology (NJIT) to build an evidence-based account of an institution’s commitment to ethics education. Employing mixed-methodologies, we will test tools and techniques that combine novel and traditional methods from the digital humanities, psychology, and design thinking. These tools were designed by the NEP to benefit a broad range of institutions of higher education in auditing and transforming approaches to Ethical and Responsible Research. For this project, we will focus on alignment: identifying consistency with institution, faculty, and student statements and perceptions that include instructor goals, activities, and assessment techniques, student perception, and stated institutional commitment to ethics. In addition to helping NJIT examine its own approach to ethical and responsible research and seeding a future Institutional Transformation proposal to address identified needs, this project is the first campus-wide opportunity for the NEP to fully test its Campus Alignment Review of Ethics, which to date has been applied only piecemeal on separate campuses. Results from this research will be disseminated via the NEP website, the National Academy of Engineering’s Online Ethics Center, scholarly presentations at national conferences and publications in scholarly journals. Data developed through this project will be available to other researchers and to the public through the Open Science Framework.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of South Florida,,United States,OSF (Open Science Framework),Deni Elliott,2021-11-01,2023-10-31,,,2021,44762,USD,"44,762.00",nsf,,2124943,Collaborative Research: Project Incubation - New Jersey Institute of Technology Campus Alignment Review of Ethics,"Today’s US citizens need to be competent evaluators of scientific and technical claims that they encounter through social media, news stories, or professional communication. Their ability to identify and use verifiable facts impacts their personal choices and their active participation in public discussion. Professionals in scientific and technical careers need to approach their work with an understanding of ethical considerations, which include how the professional choices that they make in the face of ongoing and novel challenges impact citizens’ everyday lives. Given the broad social impacts of scientific and engineering research, ensuring the ethical and responsible conduct of research is vital to the welfare of the American public and promotes the progress of science. Universities must meet this need, both as sites of research and, most critically, as educators of future STEM researchers and workers. In this project, researchers examine how well institutional messaging that describes New Jersey Institute of Technology’s commitment to ethics aligns with students’ encounters with ethics in and out of the classroom. Ethics education aligns with the critical evaluation needs of citizens in two ways: first, by ensuring that the scientific and technological researchers of the future come to their work with robust training in ethics and next, by ensuring that higher education gives students practice in ethical reasoning. Skill in ethical reasoning facilitates students’ personal, vocational, and civic growth. Lessons learned from this study at this university will be used to improve alignment of ethics education at other US universities.<br/><br/>Researchers from Harvard University, Stanford University, and the University of South Florida who are members of a research consortium, the National Ethics Project (NEP), join forces with investigators from New Jersey Institute of Technology (NJIT) to build an evidence-based account of an institution’s commitment to ethics education. Employing mixed-methodologies, we will test tools and techniques that combine novel and traditional methods from the digital humanities, psychology, and design thinking. These tools were designed by the NEP to benefit a broad range of institutions of higher education in auditing and transforming approaches to Ethical and Responsible Research. For this project, we will focus on alignment: identifying consistency with institution, faculty, and student statements and perceptions that include instructor goals, activities, and assessment techniques, student perception, and stated institutional commitment to ethics. In addition to helping NJIT examine its own approach to ethical and responsible research and seeding a future Institutional Transformation proposal to address identified needs, this project is the first campus-wide opportunity for the NEP to fully test its Campus Alignment Review of Ethics, which to date has been applied only piecemeal on separate campuses. Results from this research will be disseminated via the NEP website, the National Academy of Engineering’s Online Ethics Center, scholarly presentations at national conferences and publications in scholarly journals. Data developed through this project will be available to other researchers and to the public through the Open Science Framework.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Southern Methodist University,,United States,OSF (Open Science Framework),Brigitte Kovacevich,2014-09-01,2016-03-31,,,2014,259218,USD,"259,218.00",nsf,,1430954,Investigating The Origins Of Social Inequality,"With support from the National Science Foundation, co-PI's Dr. Brigitte Kovacevich and Dr. Michael Callaghan will carry out a two-year research project including archaeological field and laboratory work focused on the site of Holtun, Guatemala with an international team of scholars. This research will focus on the development and maintenance of social inequality. Inequality is a defining characteristic of all prehistoric complex societies and and is of contemporary relevance because it characterizes all societies which exist in the world today. Archaeologists speculate that it first became formalized within and between households, although little is currently known about how households contributed to emergent ideologies and were innovators and creators of that ideology.<br/><br/> The objective of this research is to determine how households contributed to social inequality at the Preclassic-period (900 BCE-150 CE) site of Holtun, Guatemala. The investigators central hypothesis is that social inequality developed at Holtun circa 300 BCE, and social complexity circa CE 25, with the support of both emergent elite and commoner households at the site through the medium of communal ritual and the economy associated with it. The central hypothesis will be tested by, 1) identifying and studying the development of social inequality through variation in Middle Preclassic-period (600-300 BCE) household inventories, 2) identifying and studying the differential contribution of households to communal ritual and economic activity through time, and 3) identifying the source and changes in ritual practice and symbols within and between households through time. Principal methods include excavation into domestic and monumental architecture, and analysis of artifacts using both traditional and contemporary approaches including: ceramic and lithic typological classification, petrography, lithic microwear analysis and replication studies, faunal analysis, X-ray Fluorescence, stable-isotope analysis of human bone, Instrumental Neutron Activation Analysis, and soil geo-chemistry studies. <br/><br/>This project will promote teaching, training, and learning by employing graduate, undergraduate, and Dallas-area high school students to engage in archaeological research, training, and experimental studies. The research includes underrepresented groups, specifically women in science. While the number of women attaining doctoral degrees in the social sciences has risen, women in archaeology still have not achieved equal employment and representation in the field. The research also incorporates Latino high school students from one of Dallas Counties poorest cities and provides training for an international team including Guatemalan undergraduates. The results of this research will be broadly disseminated to the international community at conferences and meetings. Results will be published in annual archaeological site reports and available online at a project website through SMU's server with data available to the public on tDAR and/or the Open Science Framework.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,The University of Central Florida Board of Trustees,,United States,OSF (Open Science Framework),Brigitte Kovacevich,2016-01-04,2018-08-31,,,2016,195025,USD,"195,025.00",nsf,,1625950,Investigating The Origins Of Social Inequality,"With support from the National Science Foundation, co-PI's Dr. Brigitte Kovacevich and Dr. Michael Callaghan will carry out a two-year research project including archaeological field and laboratory work focused on the site of Holtun, Guatemala with an international team of scholars. This research will focus on the development and maintenance of social inequality. Inequality is a defining characteristic of all prehistoric complex societies and and is of contemporary relevance because it characterizes all societies which exist in the world today. Archaeologists speculate that it first became formalized within and between households, although little is currently known about how households contributed to emergent ideologies and were innovators and creators of that ideology.<br/><br/> The objective of this research is to determine how households contributed to social inequality at the Preclassic-period (900 BCE-150 CE) site of Holtun, Guatemala. The investigators central hypothesis is that social inequality developed at Holtun circa 300 BCE, and social complexity circa CE 25, with the support of both emergent elite and commoner households at the site through the medium of communal ritual and the economy associated with it. The central hypothesis will be tested by, 1) identifying and studying the development of social inequality through variation in Middle Preclassic-period (600-300 BCE) household inventories, 2) identifying and studying the differential contribution of households to communal ritual and economic activity through time, and 3) identifying the source and changes in ritual practice and symbols within and between households through time. Principal methods include excavation into domestic and monumental architecture, and analysis of artifacts using both traditional and contemporary approaches including: ceramic and lithic typological classification, petrography, lithic microwear analysis and replication studies, faunal analysis, X-ray Fluorescence, stable-isotope analysis of human bone, Instrumental Neutron Activation Analysis, and soil geo-chemistry studies. <br/><br/>This project will promote teaching, training, and learning by employing graduate, undergraduate, and Dallas-area high school students to engage in archaeological research, training, and experimental studies. The research includes underrepresented groups, specifically women in science. While the number of women attaining doctoral degrees in the social sciences has risen, women in archaeology still have not achieved equal employment and representation in the field. The research also incorporates Latino high school students from one of Dallas Counties poorest cities and provides training for an international team including Guatemalan undergraduates. The results of this research will be broadly disseminated to the international community at conferences and meetings. Results will be published in annual archaeological site reports and available online at a project website through SMU's server with data available to the public on tDAR and/or the Open Science Framework.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,UNK,Unknown,OpenAIRE,https://ror.org/019kf3481,Public,CERN,,Switzerland,Zenodo,,,,2017,,2017,"69,500.00",Euro,"78,562.80",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,UNK,Unknown,OpenAIRE,https://ror.org/019kf3481,Public,CERN,,Switzerland,Zenodo,,,,2009,,2009,"308,625.00",Euro,"221,870.51",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,UNK,Unknown,OpenAIRE,https://ror.org/019kf3481,Public,CERN,,Switzerland,Zenodo,,,,2011,,2011,"280,310.00",Euro,"390,303.64",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,UNK,Unknown,OpenAIRE,https://ror.org/019kf3481,Public,CERN,,Switzerland,Zenodo,,,,2015,,2015,"464,812.50",Euro,"515,941.88",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,,,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,UNK,Unknown,OpenAIRE,https://ror.org/019kf3481,Public,CERN,,Switzerland,Zenodo,,,,2018,,2018,"494,500.00",Euro,"555,125.70",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,,,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,USE,Indirect,Robert Wood Johnson Foundation,https://ror.org/02ymmdj85,Private,University of North Carolina at Chapel Hill,,United States,OSF (Open Science Framework),"[None, None]",2017-03-15,2018-12-14,2017,639 days,2017,184450,USD,"184,450.00",rwjf.org,,rwjf::74419,"Identifying effective, efficient methods for implementing data policies for scholarly journals that incorporate review and verification","This project seeks to identify the most effective and efficient methods for implementing data policies that incorporate review and verification in peer-review journals. The project will involve two components: (1) an examination of existing policies on manuscript review and data sharing/verification issued by journals that have a robust data policy, including the new category of data journals; and (2) a survey, supplemented with interviews, of editors, authors, and peer reviewers to identify specific aspects of the data-review process where opportunities exist for policy enhancements and workflow improvements. The project team will use the results of the study to develop an evidence-based model for implementation of data policies designed to be both efficient and effective in ensuring access to and interpretability and reusability of data underlying published research. The policy-implementation model will include suggestions for the content and presentation of policies; frameworks for developing guidance documentation that facilitates the submission of high-quality datasets; and workflow modifications to support data review and verification within the publication process. The Odum Institute will make public-use datasets, supporting documentation, analysis code, and related materials, openly available on the Open Science Framework's project page, as well as archived and shared within the University of North Carolina Dataverse, to enable other researchers to verify and extend research results.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,RD,Direct,Templeton World Charity Foundation,https://ror.org/00x0z1472,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2014,34,2014,"2,109,856.00",USD,"2,109,856.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,46545,"
Increasing Scientific Openness And Integrity","An academic scientist’s professional success depends on publishing. Publishing norms emphasize novel, positive, tidy results. As such, disciplinary incentives encourage design, analysis, and reporting decisions that maximize publishability even at the expense of accuracy. This challenges scientists' character because professional success is enhanced by pursuing suboptimal scientific practices. As such, disciplinary norms guide researchers toward practices that are contrary to personal and scientific values. The end result is inflation of error in published science, and interference with knowledge accumulation. Scientific integrity can be improved with strategies that make the fundamental but abstract accuracy motive—getting it right—competitive with the more tangible and concrete incentive—getting it published.
We are building infrastructure (http://openscienceframework.org/) to alter the incentives, increase openness and accountability, and provide a means of instilling habits that embody scientific values in the daily behavior of practicing scientists. Also, we are building communities around open science values, and means of providing credit for practicing those values. Ultimately, we aim to enhance the credibility and integrity of individual scientists, the scientific community, and the knowledge base that they produce.
We will meet these goals in this grant with three activities: (1) building the Open Science Framework to provide features that provide value to the scientist's existing workflow and enables or automates good practices, (2) building community, training and outreach to facilitate use of the Open Science Framework, and (3) connecting a variety of tools (e.g., data repositories, data visualization tools, analytic tools) through the OSF to support the entire research lifecycle and facilitate documentation and archival of research materials and data.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,OTHER,Direct,Templeton World Charity Foundation,https://ror.org/00x0z1472,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2018,36,2018,"1,500,000.00",USD,"1,500,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,61199,"Center For Open Science – Openness, Integrity, And Reproducibility: Aligning Scientific Practices With Scientific Values To Accelerate Discovery","Knowledge and scientific discovery advances by the transparent communication of ideas and evidence. No individual is the arbiter of truth. All present models of nature are incomplete or incorrect in some way. Scholars propose, challenge, and extend one another’s claims via free exchange of evidence. Moreover, the credibility of scientific evidence is established by showing that it is reproducible independent of its originator. This way, scholars individually pursue their curiosities, share their discoveries, and collectively evaluate each other’s claims for the advancement of knowledge.
The Center for Open Science’s (COS) mission is to increase openness, integrity, and reproducibility of research. COS advances this mission by conducting metascience to understand reproducibility challenges and how to address them, builds infrastructure, provides training, builds community, and nudges incentives across stakeholder communities. Openness is an accelerant to the pursuit of truth. COS provides the means, opportunity, and motivation to pursue openness and ultimately increase the efficiency of discovery.
The focus of this proposal is advancement of the infrastructure and community efforts that will foster a transformative change in research practices toward openness. COS will empower research communities and individuals toward openness by providing technology solutions that make it easy, and shifting incentives to make it desirable. COS will achieve this by scaling its products and services to support open, reproducible research. We will accelerate adoption of open practices, and foster transition of our technology solutions toward a sustainable funding model across the community of stakeholders (funders, institutions, service providers). Success indicators will be evidence of researcher adoption of COS services; open availability of content, process, and outcomes of research; and, growing investment by the stakeholder community to sustain these public goods.",,Repository software,Repository service,,"Repository software, Repository service, "
ioi2022,OTHER,Direct,Templeton World Charity Foundation,https://ror.org/00x0z1472,Private,Center for Open Science,,United States,OSF (Open Science Framework),,,,2021,36,2021,"1,500,000.00",USD,"1,500,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,62032,"Center For Open Science: Enabling Research Rigor And Transparency, Fostering Researcher Intellectual Humility","The Center for Open Science (COS) has a mission to promote openness, integrity, and reproducibility in researchers’ everyday behavior. Our focus is to stimulate behavior change in adoption of preregistration and sharing of research data, materials, and code. The purpose of this mission is to improve the credibility of research, foster intellectual humility among researchers, and, ultimately, accelerate the discovery of knowledge, solutions, and cures.
Our theory of change presumes that researchers need infrastructure to make behaviors possible; user-centered product design to make behaviors easy; grassroots organizing and visibility to make behaviors normative; and journals, funders, and institutions to shift incentives and policies to make behaviors desirable and required. All five elements are necessary for broad, effective culture change. As an organization, COS has departments and programs to advance each of these levers of behavior change in tandem.
With support from the John Templeton Foundation, we will improve the Open Science Framework (OSF), the open source infrastructure we maintain, to make it easier for researchers to report outcomes of preregistered research to reduce publication bias and selective reporting. We will incorporate just-in-time training and support tools in workflows for preregistration and sharing data and materials to increase the quality of researchers' open behaviors. We will enhance collection of research project metadata to improve discoverability and enable funders and institutions to increase adherence to policies promoting rigor and transparency. Finally, we will advance sustainability of the infrastructure by increasing earned revenue and mitigating OSF maintenance costs.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,Templeton World Charity Foundation,https://ror.org/00x0z1472,Private,,,Unknown,OSF (Open Science Framework),,2023-09-01,,,,2023,249999,USD,"249,999.00",openaire,,twcf________::10260dac0e6400dece81aa4c96df6390,Testing the causal impact of social media on polarization around the globe,"Research on the impact of social media on polarization has primarily focused on the US and UK. However, recent evidence suggests that the effects of social media on polarization may differ significantly in other countries. To help build a model of the various mechanisms driving polarization around the world, more research is needed to explore the interaction between online and offline social networks, cultural and political contexts, and their role in polarization across different countries. A new project led by Jay Van Bavel and co-directed by Joshua Tucker at New York University aims to address this gap. The project team will collaborate with a team of hundreds of researchers across at least 20 (and up to 50) countries to conduct a cross-cultural field experiment in which participants are incentivized to temporarily deactivate their Facebook accounts for 2 weeks. The team plans to: Measure how this Facebook deactivation impacts affective polarization (e.g., animosity toward one’s out-group). Examine both affective polarization toward opposing political parties, as well as polarization toward other out-groups (e.g., ethnic polarization), which are both included in TWCF’s definition of polarization. Examine whether the effects of Facebook cessation are moderated by a number of country-level variables (such as the strength of a country’s democracy, whether a country has a two-party or multi-party system). The project will also examine various variables, including individual differences, offline social networks, and country-level factors, to determine their predictive power in understanding polarization in a global context. The project will compare these findings with predictions from social media researchers and laypeople to evaluate existing polarization models. The dataset from this project, which will include a comprehensive list of translated measures of affective polarization in many countries, will be shared on the Open Science Framework so that other researchers can further study polarization in many cultural contexts.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Edinburgh,,United Kingdom,OSF (Open Science Framework),,2022-09-30,2025-09-29,,,2022,0,GBP,,openaire,,ukri________::448550a31089a73163203dc739074eef,Understanding the drivers of safety at major sporting events,"Attendees perceived safety is a key determinant of attendance at sporting events (Silveira et al., 2018). Understanding the factors associated with attendees' perceptions of safety is essential for designing policy and interventions to improve both perceptions of and actual safety at sporting events.
Research from social psychology highlights that attendees' perceptions of safety at sporting events could be linked to the extent to which attendees feel part of a group with others. Indeed, feelings part of a group with other attendees has been associated with perceived safety in a range of mass event contexts, including music festivals (Novelli et al., 2013; Drury et al., 2017), religious mass gatherings (Alnabulsi & Drury, 2014; Hopkins & Reicher, 2019), and protests (Stott et al., 2018). Similarly, Cruwys et al. (2020) experimentally demonstrated that ingroup members are perceived to pose lower risk compared to outgroup members. In addition to feeling part of a group, research has demonstrated that attendees of mass events expect other group members to provide support to keep them safe (e.g., Drury et al., 2016). These group processes have also been associated with perceptions of safety at pilot sporting events during COVID-19 (e.g., Smith & Templeton, 2022; Templeton et al., 2020).
The combination of previous literature from social psychology and recent research on sporting events suggests that group processes can help us understand how and why attendees perceive safety at sporting events and identify avenues for improving safety. However, this is limited in the COVID-19 context, and the research has also neglected findings from event organisations suggesting that demographic variables may impact experiences at events.
This research therefore aims to understand how we can make UK sporting events safer by addressing two core research questions: 1) How group processes between attendees impact perceived safety at football events? and 2) How demographic differences impact perceived safety and group relations?
These questions will be addressed across three stages:
Stage 1: Systematic review
A systematic review will be conducted to evaluate the literature to date on safety at sporting events and how demographic variables are considered and/or incorporated into event management. This will provide the core knowledge needed for the thesis and identify knowledge gaps and research avenues for understanding perceived safety at football events. This review will be pre-registered on PROSPERO including the aims, hypotheses, key search terms, inclusion and exclusion criteria, databases, and the analytic strategy. The pre-registration will also be uploaded to the Open Science Framework.
Stage 2: Interviews
Online semi-structured interviews (N = 15) will be conducted with attendees of both men's and women's football to explore safety concerns from the perspective of crowd members. This will also include identifying demographic differences in perceived safety, where the interview schedule will be informed by the systematic review and discussions with key stakeholders. The research will be pre-registered on the Open Science Framework. The transcripts will be analysed to identify key themes impacting attendees' perceived safety with a focus on demographic differences, and to highlight potential avenues to improve spectator experiences of safety.
Stage 3: Large-scale survey on perceived safety
Themes of interest from Stage 2 will be used to develop a large-scale correlational cross-sectional survey (N = 2000) on the factors associated with perceived safety at football events and potential avenues for improvement. The survey will be pre-registered on the Open Science Framework. Structural equation modelling will be used to analyse which variables are associated with perceived safety at events, the relationships between the variables, and whether these differ across demographic categories.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Oxford,,United Kingdom,OSF (Open Science Framework),,2020-09-30,2024-03-31,,,2020,0,GBP,,openaire,,ukri________::73b925ccea6cade956419b2eea8f0a2a,Cognitive and neural mechanisms of credit assignment,"Cognitive theories of depression have proposed that depression is caused by negative attributional styles. Yet, we still lack an understanding how attributional styles arise and are maintained in the healthy and depressed population. I propose to investigate the underlying cognitive and neural mechanisms of credit assignment, i.e. learning about the causes of events. For this, I will develop a novel behavioural paradigm. In this new task, participants will play several 'mini games' together with another player. The participants' task is to infer across trials how well they and the other player perform. This paradigm will allow me to investigate how people learn about the causes of positive and negative events in a social context. I will employ this paradigm in four studies: a large online study, an fMRI and an EEG study with healthy participants and an fMRI or EEG study with depressed participants. This set of studies will allow me, first, to develop computational models quantifying how people attribute outcomes, then to find the brain regions involved in credit assignment to the self or others, and, finally, how this process evolves over time. I will then test how these neural mechanisms in the healthy brain differ in depressed participants. To increase the transparency of the project, I will preregister all hypotheses and analyses on the open science framework (osf.io). Taken together, I aim to gain an understanding of the cognitive and neural mechanisms of credit assignment. In the future, this will be necessary to develop new treatments (e.g. non-invasive brain stimulation) for depression.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of London,,United Kingdom,OSF (Open Science Framework),,2022-08-31,2024-08-30,,,2022,453568,GBP,"527,190.10",openaire,,ukri________::f7d33ae589ea18ec33a5b82590bdcfe3,COLLABORATIVE AND DIGITAL ANALYSIS OF BIG QUAL DATA IN TIME SENSITIVE CONTEXTS - LISTEN,"Research needs to be efficient and rigorous to inform evidence-based emergency response. Qualitative data provides public health authorities with key insight into behaviours, beliefs, and contextual factors that shape complex and, often, unprecedented situations. However, qualitative research is frequently excluded from emergency response research plans due to misconceptions around the length of time it requires, its biases, and the level of training required to carry it out properly. Valuable qualitative data is therefore not used to its full potential in decision-making processes, putting at risk the applicability of findings for each context. This project will refine, consolidate and disseminate the first method for the rapid analysis of large qualitative datasets, so big qualitative data can be routinely used to inform response efforts in the context of emergencies.
Our multidisciplinary team based at University College London and Oxford University is strategically well placed to carry out this work due to our state of the art knowledge about research methods, our large international network of researchers, and popular training courses in English and Spanish. The project will consist of four steps, each resulting in concrete outputs that address the sub-aims of the study: (1) We will review the literature and learn from other methods designed for the rapid analysis of qualitative data. We will use this information to design LISTEN, an analysis method that combines digital tools to manage and visualise large volumes of data, and collaborative approaches to involve stakeholders in the interpretation of findings. (2) We will test LISTEN on three existing datasets (a large interview study capturing the experiences healthcare workers delivering care during the COVID-19 pandemic in the UK, social media data on Long Covid, and open-ended survey responses about the impact of environmental disasters on mental health in Peru). (3) We will evaluate the quality of LISTEN by studying the successful involvement of people with lived experience, the reliability of findings across multiple researchers and teams, and the financial and infrastructure resources required to conduct LISTEN analysis. (4) We will then host an online international symposium to present LISTEN to a global network and we will develop an accessible toolkit and teaching materials to promote the future use of LISTEN by other teams.
Our project is informed by co-production principles, and our team is committed to open science. We will convene a Consultation Group of experts including researchers, clinicians, policymakers, emergency response experts and lived experience researchers, to advise across all stages of the project. Our primary outputs will include a dynamic website and a project page on the Open Science Framework (OSF) to share openly available and accessible study results. Establishing the LISTEN method will shift the focus of emergency response from quantitative indicators, to rich indicators developed from the bottom-up. This will have a deep impact on the sensitivity of emergency response to local needs, as well as local capacities, increasing the potential for speedy societal and economic community recovery.",,Repository software,Repository service,,"Repository software, Repository service, "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Cambridge,,United Kingdom,OSF (Open Science Framework),,2020-01-14,2023-11-30,,,2020,818225,GBP,"1,062,226.50",openaire,,ukri________::8d721cc9ad8108b093fd143b61366eef,Phytoelectronic soil sensing,"The research objective of this project is to accurately, densely and remotely measure the state of the soil using plants as in situ chemical laboratories. The sap of these "interrogator plants" will be analyzed by implanted bioelectronic sensors and remotely communicated by low-power radio interrogation. This approach will avoid the complexity of sensing the soil directly by instead detecting the chemical response of vascular fluids to chemical and biological changes of the soil around the roots. These fluids, which are transported by the woody xylem tissues, are under negative pressure and thus typically difficult to access. The project will thus investigate a number of regeneration techniques for surgically implanted, small sensors such that these sensors become grafted into the xylem tissue, much like fruit trees are currently grafted. The entire small sensor including implanted electronics and regenerative coating will be screen-printed for very low cost. Screen printing recipes and other enabling techniques will be shared with the public through the Open Science Framework. Public use of these results will be further fostered by funded kits distributed to teams through the international BioMaker and OpenPlant programs.",,Repository software,Repository service,,"Repository software, Repository service, "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Columbia University,,United States,Archival Resource Key,Kerstin Lehnert,2020-08-15,2024-07-31,,,2020,1277628,USD,"1,277,628.00",nsf,,2004839,Collaborative Research: Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples,"Research frequently uses material samples as a basic element for reference, study, and experimentation in many scientific disciplines, especially in the natural and environmental sciences, material sciences, agriculture, physical anthropology, archaeology, and biomedicine. Observations made on samples collected in the field and in the laboratory constitute a critical data resource for research that addresses grand challenges of our planet's future sustainability, from environmental change; to food, energy, and water resources; to natural hazards and their mitigation; to public health. The large investments of public funds being made to curate huge volumes of samples acquired over decades or even centuries, and to collect and analyze new samples, demand that these samples be openly accessible, easily discoverable, and documented with sufficient information to make them reusable. The current ecosystem of sample and sample data management in the U.S. and globally is highly fragmented across stakeholders, including museums, federal agencies, academic institutions, and individual researchers, with a multitude of institutional and discipline-specific catalogs, practices for sample identification, and protocols for describing samples. The iSamples project is a multi-disciplinary collaboration that will develop a national digital infrastructure to provide services for globally unique, consistent, and convenient identification of material samples; metadata about them; and linking them to other samples, derived data, and research results published in the literature. iSamples builds on previous initiatives to achieve these goals by providing material samples with globally unique, persistent identifiers that reliably link to landing pages with metadata describing the sample and its provenance, and which allow unambiguously linking samples with data and publications. Leveraging significant national investments, iSamples provides the missing link among (i) physical collections (e.g., natural history museums, herbaria, biobanks), (ii) field stations, marine laboratories, long-term ecological research sites, and observatories, and (iii) data repositories and cyberinfrastructure. iSamples delivers enhanced infrastructure for STEM research and education, decision-makers, and the general public. iSamples benefits national security and resource management by offering a means to assure sample provenance, improving scientific reproducibility and demonstrating compliance with ethical standards, national regulations, and international treaties.<br/><br/>The Internet of Samples (iSamples) is a multi-disciplinary and multi-institutional project to design, develop, and promote service infrastructure to uniquely, consistently, and conveniently identify material samples, record metadata about them, and persistently link them to other samples and derived digital content, including images, data, and publications. The project will create a flexible and scalable architecture to ensure broad adoption and implementation by diverse stakeholders. iSamples will build upon existing identifier infrastructure such as IGSNs (Global Sample Number;) and ARKs (Archival Resource Keys), but is agnostic to identifier type. Likewise, iSamples will encourage a high-level metadata standard for natural history samples (across biosciences, geosciences, and archaeology), while supporting community-developed metadata standards in specialist domains. Through integration with established discipline-specific infrastructure at the System for Earth Sample Registration SESAR (geoscience), CyVerse (bioscience), and Open Context (archaeology), iSamples will extend existing capabilities, enhance consistency, and expand their reach to serve science and society much more broadly. The project includes three main objectives: 1) Design and develop iSamples infrastructure (iSamples in a Box and iSamples Central); 2) Build four initial implementations of iSamples for adoption and use case testing (Open Context, GEOME, SESAR, and Smithsonian Institution); and 3) Conduct outreach and community engagement to developers, individual researchers, and international organizations concerned with material samples. The project will follow an agile development process that includes community engagement as an important element of creating software requirements and an implementation timeline.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Authoring tool,,,"Authoring tool, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Arizona,,United States,Archival Resource Key,Andrea Thomer,2020-08-15,2024-07-31,,,2020,1072351,USD,"1,072,351.00",nsf,,2004562,Collaborative Research: Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples,"Research frequently uses material samples as a basic element for reference, study, and experimentation in many scientific disciplines, especially in the natural and environmental sciences, material sciences, agriculture, physical anthropology, archaeology, and biomedicine. Observations made on samples collected in the field and in the laboratory constitute a critical data resource for research that addresses grand challenges of our planet's future sustainability, from environmental change; to food, energy, and water resources; to natural hazards and their mitigation; to public health. The large investments of public funds being made to curate huge volumes of samples acquired over decades or even centuries, and to collect and analyze new samples, demand that these samples be openly accessible, easily discoverable, and documented with sufficient information to make them reusable. The current ecosystem of sample and sample data management in the U.S. and globally is highly fragmented across stakeholders, including museums, federal agencies, academic institutions, and individual researchers, with a multitude of institutional and discipline-specific catalogs, practices for sample identification, and protocols for describing samples. The iSamples project is a multi-disciplinary collaboration that will develop a national digital infrastructure to provide services for globally unique, consistent, and convenient identification of material samples; metadata about them; and linking them to other samples, derived data, and research results published in the literature. iSamples builds on previous initiatives to achieve these goals by providing material samples with globally unique, persistent identifiers that reliably link to landing pages with metadata describing the sample and its provenance, and which allow unambiguously linking samples with data and publications. Leveraging significant national investments, iSamples provides the missing link among (i) physical collections (e.g., natural history museums, herbaria, biobanks), (ii) field stations, marine laboratories, long-term ecological research sites, and observatories, and (iii) data repositories and cyberinfrastructure. iSamples delivers enhanced infrastructure for STEM research and education, decision-makers, and the general public. iSamples benefits national security and resource management by offering a means to assure sample provenance, improving scientific reproducibility and demonstrating compliance with ethical standards, national regulations, and international treaties.<br/><br/>The Internet of Samples (iSamples) is a multi-disciplinary and multi-institutional project to design, develop, and promote service infrastructure to uniquely, consistently, and conveniently identify material samples, record metadata about them, and persistently link them to other samples and derived digital content, including images, data, and publications. The project will create a flexible and scalable architecture to ensure broad adoption and implementation by diverse stakeholders. iSamples will build upon existing identifier infrastructure such as IGSNs (Global Sample Number;) and ARKs (Archival Resource Keys), but is agnostic to identifier type. Likewise, iSamples will encourage a high-level metadata standard for natural history samples (across biosciences, geosciences, and archaeology), while supporting community-developed metadata standards in specialist domains. Through integration with established discipline-specific infrastructure at the System for Earth Sample Registration SESAR (geoscience), CyVerse (bioscience), and Open Context (archaeology), iSamples will extend existing capabilities, enhance consistency, and expand their reach to serve science and society much more broadly. The project includes three main objectives: 1) Design and develop iSamples infrastructure (iSamples in a Box and iSamples Central); 2) Build four initial implementations of iSamples for adoption and use case testing (Open Context, GEOME, SESAR, and Smithsonian Institution); and 3) Conduct outreach and community engagement to developers, individual researchers, and international organizations concerned with material samples. The project will follow an agile development process that includes community engagement as an important element of creating software requirements and an implementation timeline.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Authoring tool,,,"Authoring tool, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Berkeley,,United States,Archival Resource Key,Neil Davies,2020-08-15,2024-07-31,,,2020,887476,USD,"887,476.00",nsf,,2004642,Collaborative Research: Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples,"Research frequently uses material samples as a basic element for reference, study, and experimentation in many scientific disciplines, especially in the natural and environmental sciences, material sciences, agriculture, physical anthropology, archaeology, and biomedicine. Observations made on samples collected in the field and in the laboratory constitute a critical data resource for research that addresses grand challenges of our planet's future sustainability, from environmental change; to food, energy, and water resources; to natural hazards and their mitigation; to public health. The large investments of public funds being made to curate huge volumes of samples acquired over decades or even centuries, and to collect and analyze new samples, demand that these samples be openly accessible, easily discoverable, and documented with sufficient information to make them reusable. The current ecosystem of sample and sample data management in the U.S. and globally is highly fragmented across stakeholders, including museums, federal agencies, academic institutions, and individual researchers, with a multitude of institutional and discipline-specific catalogs, practices for sample identification, and protocols for describing samples. The iSamples project is a multi-disciplinary collaboration that will develop a national digital infrastructure to provide services for globally unique, consistent, and convenient identification of material samples; metadata about them; and linking them to other samples, derived data, and research results published in the literature. iSamples builds on previous initiatives to achieve these goals by providing material samples with globally unique, persistent identifiers that reliably link to landing pages with metadata describing the sample and its provenance, and which allow unambiguously linking samples with data and publications. Leveraging significant national investments, iSamples provides the missing link among (i) physical collections (e.g., natural history museums, herbaria, biobanks), (ii) field stations, marine laboratories, long-term ecological research sites, and observatories, and (iii) data repositories and cyberinfrastructure. iSamples delivers enhanced infrastructure for STEM research and education, decision-makers, and the general public. iSamples benefits national security and resource management by offering a means to assure sample provenance, improving scientific reproducibility and demonstrating compliance with ethical standards, national regulations, and international treaties.<br/><br/>The Internet of Samples (iSamples) is a multi-disciplinary and multi-institutional project to design, develop, and promote service infrastructure to uniquely, consistently, and conveniently identify material samples, record metadata about them, and persistently link them to other samples and derived digital content, including images, data, and publications. The project will create a flexible and scalable architecture to ensure broad adoption and implementation by diverse stakeholders. iSamples will build upon existing identifier infrastructure such as IGSNs (Global Sample Number;) and ARKs (Archival Resource Keys), but is agnostic to identifier type. Likewise, iSamples will encourage a high-level metadata standard for natural history samples (across biosciences, geosciences, and archaeology), while supporting community-developed metadata standards in specialist domains. Through integration with established discipline-specific infrastructure at the System for Earth Sample Registration SESAR (geoscience), CyVerse (bioscience), and Open Context (archaeology), iSamples will extend existing capabilities, enhance consistency, and expand their reach to serve science and society much more broadly. The project includes three main objectives: 1) Design and develop iSamples infrastructure (iSamples in a Box and iSamples Central); 2) Build four initial implementations of iSamples for adoption and use case testing (Open Context, GEOME, SESAR, and Smithsonian Institution); and 3) Conduct outreach and community engagement to developers, individual researchers, and international organizations concerned with material samples. The project will follow an agile development process that includes community engagement as an important element of creating software requirements and an implementation timeline.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Authoring tool,,,"Authoring tool, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Kansas Center for Research Inc,,United States,Archival Resource Key,David Vieglais,2020-08-15,2024-07-31,,,2020,636082,USD,"636,082.00",nsf,,2004815,Collaborative Research: Frameworks: Internet of Samples: Toward an Interdisciplinary Cyberinfrastructure for Material Samples,"Research frequently uses material samples as a basic element for reference, study, and experimentation in many scientific disciplines, especially in the natural and environmental sciences, material sciences, agriculture, physical anthropology, archaeology, and biomedicine. Observations made on samples collected in the field and in the laboratory constitute a critical data resource for research that addresses grand challenges of our planet's future sustainability, from environmental change; to food, energy, and water resources; to natural hazards and their mitigation; to public health. The large investments of public funds being made to curate huge volumes of samples acquired over decades or even centuries, and to collect and analyze new samples, demand that these samples be openly accessible, easily discoverable, and documented with sufficient information to make them reusable. The current ecosystem of sample and sample data management in the U.S. and globally is highly fragmented across stakeholders, including museums, federal agencies, academic institutions, and individual researchers, with a multitude of institutional and discipline-specific catalogs, practices for sample identification, and protocols for describing samples. The iSamples project is a multi-disciplinary collaboration that will develop a national digital infrastructure to provide services for globally unique, consistent, and convenient identification of material samples; metadata about them; and linking them to other samples, derived data, and research results published in the literature. iSamples builds on previous initiatives to achieve these goals by providing material samples with globally unique, persistent identifiers that reliably link to landing pages with metadata describing the sample and its provenance, and which allow unambiguously linking samples with data and publications. Leveraging significant national investments, iSamples provides the missing link among (i) physical collections (e.g., natural history museums, herbaria, biobanks), (ii) field stations, marine laboratories, long-term ecological research sites, and observatories, and (iii) data repositories and cyberinfrastructure. iSamples delivers enhanced infrastructure for STEM research and education, decision-makers, and the general public. iSamples benefits national security and resource management by offering a means to assure sample provenance, improving scientific reproducibility and demonstrating compliance with ethical standards, national regulations, and international treaties.<br/><br/>The Internet of Samples (iSamples) is a multi-disciplinary and multi-institutional project to design, develop, and promote service infrastructure to uniquely, consistently, and conveniently identify material samples, record metadata about them, and persistently link them to other samples and derived digital content, including images, data, and publications. The project will create a flexible and scalable architecture to ensure broad adoption and implementation by diverse stakeholders. iSamples will build upon existing identifier infrastructure such as IGSNs (Global Sample Number;) and ARKs (Archival Resource Keys), but is agnostic to identifier type. Likewise, iSamples will encourage a high-level metadata standard for natural history samples (across biosciences, geosciences, and archaeology), while supporting community-developed metadata standards in specialist domains. Through integration with established discipline-specific infrastructure at the System for Earth Sample Registration SESAR (geoscience), CyVerse (bioscience), and Open Context (archaeology), iSamples will extend existing capabilities, enhance consistency, and expand their reach to serve science and society much more broadly. The project includes three main objectives: 1) Design and develop iSamples infrastructure (iSamples in a Box and iSamples Central); 2) Build four initial implementations of iSamples for adoption and use case testing (Open Context, GEOME, SESAR, and Smithsonian Institution); and 3) Conduct outreach and community engagement to developers, individual researchers, and international organizations concerned with material samples. The project will follow an agile development process that includes community engagement as an important element of creating software requirements and an implementation timeline.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Authoring tool,,,"Authoring tool, , "
oic_scrape,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,Williams College,,United States,Islandora,,2018-09-06,2019-09-06,2018,12 months,2018,153000,USD,"153,000.00",mellon.org,https://https://www.mellon.org/grant-details/20444973,mellon:grants::20444973,,"to support the further development of Islandora, a repository services platform",Public Knowledge,Digital asset management system,,,"Digital asset management system, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Chippewa Cree Tribe,,United States,Islandora,,2021-10-01,2022-09-30,,,2021,99555,USD,"99,555.00",imls.gov,https://www.imls.gov/grants/awarded/nae-252283-ols-22,imls:log_number::NAE-252283-OLS-22,,"The Chippewa Cree Tribe of The Rocky Boy Reservation will use Lyrasis Islandora software to migrate digital archive materials and expand their existing archive collections. They will increase community programming and cultural events by hosting 12 library community events, with at least six having a cultural education focus, as well as hosting five day-long workshops with local craftsmen. This project will increase the community’s awareness of information resources available at the library, by disseminating information at local schools and workplaces, local media outlets, social networking sites, and the local radio station. This project will benefit all age groups of the Rocky Boy’s Indian Reservation community members.",Native American Library Services: Enhancement Grants,Digital asset management system,,,"Digital asset management system, , "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Morehouse College,,United States,Islandora,Aaron Carter-Enyi [Project Director],2019-06-01,2023-07-31,2019,50,2019,349808,USD,"349,808.00",https://apps.neh.gov/open/data/,,neh::PW-264175-19,,"Africana Digital Ethnography Project Collection Accessibility Program (ADEPt-CAP) > The primary work for the grant period is to catalogue and annotate a large inventory of born-digital recorded sound, moving images and photographs (over 40,000 files) for posting in our open-access repository and educational YouTube channels. The scholars involved in the Africana Digital Ethnography Project (ADEPt) have gathered extensive field recordings for a decade, with more to come before the start of the grant period (May 2019). The primary means of access to the collection will be through the Atlanta University Center Robert W. Woodruff Library’s open-access repository currently hosted by bepress’s Digital Commons (digitalcommons.auctr.edu/adept). Early into the grant period, content in the current Digital Commons repository will be migrated to an Islandora open-source system. All entries will be indexed on Google Scholar and WorldCat. Video clips will also be available on YouTube to maximize public engagement.",Humanities Collections and Reference Resources > Preservation and Access,Digital asset management system,,,"Digital asset management system, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,New-York Historical Society,,United States,Islandora,Henry Raine [Project Director],2018-05-01,2020-04-30,2018,24,2018,87310,USD,"87,310.00",https://apps.neh.gov/open/data/,,neh::PW-259113-18,,"Digitization of the New-York Historical Society's Subway Construction Photograph Collection > The New-York Historical Society
will digitize its Subway Construction Photograph Collection, dating from
1900-1950 and numbering 66,000 images, and make them publicly available through
the use of its new Islandora digital portal, N-YHS Digital Collections, the
Digital Public Library of America, and WorldCat. The photograph collection
documents the construction of New York City's subway system in four boroughs
including Brooklyn, the Bronx, Manhattan, and Queens. The collection also
documents the face of the city, including its built environment, streetscapes,
and people during the first half of the 20th century. Many of the photographs
are works of art completely unknown to researchers and the public alike. The
digitized collection will facilitate their use for educational and scholarly
purposes. The images will include enhanced metadata as well as geo-coding with
latitude and longitude information.",Humanities Collections and Reference Resources > Preservation and Access,Digital asset management system,,,"Digital asset management system, , "
ioi2022,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,George Mason University,,United States,Omeka,,,,2015,12,2015,"135,000.00",USD,"135,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Omeka S Development,to support further development of an open source application for the creation of multimedia blogs and digital exhibits,,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,EV_TR,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,George Mason University,,United States,Omeka,,2008-09-18,2012-08-18,2008,47 months,2008,50000,USD,"50,000.00",mellon.org,https://https://www.mellon.org/grant-details/7696,mellon:grants::7696,,to endow an annual summer fellowship for graduate students working on the development of open source software associated with the Omeka project,Higher Learning,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,George Mason University,,United States,Omeka,,2012-09-13,2014-09-13,2012,24 months,2012,628000,USD,"628,000.00",mellon.org,https://https://www.mellon.org/grant-details/9736,mellon:grants::9736,,to support further development of the Omeka software application for scholarly blogging and digital exhibits,Public Knowledge,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
openaire,USE,Indirect,European Commission,https://ror.org/00k4n6c32,Public,École Française de Rome,,Italy,Omeka,,2020-05-01,2022-04-30,,,2020,171473,EUR,"187,625.76",openaire,,corda__h2020::d3fbfe2e05cdcede2784addd49c5f8a9,Feminine iconography in Magna Grecia and Illyria: representing women and femininity from 8th to 3rd cent. BC,"FEMINICON will explore feminine iconography in Magna Grecia from 6th to 3rd centuries BC. In a multidisciplinary approach, it will use all visual sources to identify and clarify the modalities of women’s representation in Greek and indigenous craft from South Italy, and their influence on coastal Illyria. This is important to understand gendered representations in Magna Grecia in context as these have been exported to collections all over the world and analyzed according to anachronistic preconceptions, contributing to convey a largely distorted image of Greek antiquity and women’s history. Today, thanks to new technologies, it is possible to process the huge amount of data available. This innovative project will focus on funerary representations and combines literary sources, archaeological evidence and all sorts of iconographic supports: vases, statues, paints... FEMINICON has four main objectives: 1. The creation of an indispensable database for iconographic studies in Magna Grecia and coastal Illyria with OMEKA and of an open access photographic documentation; 2. The study of iconographic patterns networks, in relation to supports and contexts; 3. The identification of the modalities of the female iconography, its customers and producers; 4. An online and physical exhibition in Taranto and Paestum museums. The interdisciplinary approach will include the history of women, funerary, gender and visual studies. New digital technologies are crucial in the project as new database models, open-data, network analysis and visualization softwares are now sufficiently developed and relevant to process the vast corpus. Digital humanities and open access philosophy are also very important for the dissemination to the scientific community and the general public. The project will contribute to European scientific excellence and competitiveness and to a better knowledge of European culture. It is of major interest for the proposer, the hosting institution and the secondments.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
openaire,ADJ,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz23,Public,Aix-Marseille université,,France,Omeka,,,,,,,440587,EUR,,openaire,,anr_________::22aa92140cb73a13c01e620894180bb1,Calligraphies at the frontiers of the Islamicate World,"During the medieval and modern periods, the use of calligraphy in Arabic script expanded to all languages transcribed in the Arabic alphabet and its variants, giving rise to a large variety of styles, found on multiple objects and monuments throughout Islamicate world. In certain regions far from its historical cradle, and more precisely from the city of Baghdad where the norms for classical calligraphy in Arabic script were defined, the developments of calligraphy clearly stand out from the canon and seem to follow their own rules. These regions correspond to the Iberian Peninsula, the Maghreb, Sub-Saharan Africa, Anatolia, the Balkans, India, South-East Asia and China. They are known as the “frontiers” of the Islamicate world, both because of their distance from the historical centre of the Islamic civilisation and because they correspond to interfaces with other civilisations and linguistic systems. Scattered studies have highlighted some of the calligraphies which emerged and developed in these regions, as well as similarities between these calligraphies. However, the fragmentation of corpora and the lack of textual documentation have, until now, limited larger scale research. In order to understand and document the making and the developments of calligraphy in Arabic script in all these regions, on a longue-durée perspective, the project Calligraphies in Arabic Script at the Frontiers of the Islamicate World (CallFront) aims to assemble corpora and textual or oral documentation related to them thanks to a consortium of specialists in these frontier scripts. CallFront is structured on two complementary axes. First, the development of a digital corpus, based on an ontology adapted to the largest possible variety of styles, which makes research data accessible to all and interconnects widely dispersed corpora. The database is developed with the Open-Source system OMEKA and it is hosted by the TGIR Huma-Num, meeting the requirements of FAIR principles. The second axis of CallFront consists in an in-depth study of praxis, in order to overcome the absence of conventional sources (usually treatises about calligraphy or mentions in literary and administrative texts). This study of praxis is based on an experimental methodology built in close collaboration with a team of professional calligraphers, as well as on fieldwork with the few remaining calligraphers trained in these scripts.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
openaire,USE,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz26,Public,Casa de Velázquez / École des hautes études hispaniques et ibériques,,France,Omeka,,,,,,,576471,EUR,,openaire,,anr_________::2e5248d6b1d8a38b4941fc10d41b66a4,The Royal Deeds of Navarre in the 15th and 16th Centuries,"The objective of this Franco-Spanish project is to write the history of administrative practices in the region of the Pyrenees in the light of the royal deeds signed by the kings and queens of Navarre between 1484 (accession of the Albret family to the throne of Navarre) and 1594 (accession of Henri de Navarre to the throne of France under the name of Henri IV). French royal deeds produced in the Renaissance under the reigns of kings François I, Henri II and François II have already been catalogued and published, and they are often used in research on the first half of the 16th century. However, no thorough catalogue nor publication of royal deeds exists concerning the sovereigns of Navarre of the Foix-Albret-Bourbon families, whose history, stretching from the end of the Middle Ages to the beginning of the Early Modern period, is inseparable from that of their French cousins. The integration of archival data and a fuller understanding of the multiple aspects of stately administration and relations in research on French political history of the 16th century is rendered all the more difficult for the lack of such research tools concerning Navarre. No methodological repertory of these deeds – that is, royal patents (ordonnances, lettres de finance, de justice, de grâce et d’office) – produced by the kings and queens of Navarre has been undertaken as of yet, even though these documents are the reflection and the expression of a political will that had to articulate itself not only relative to French and Spanish pressures and influence, but also relative to the assemblies of states of countries whose masters in the Pyrenees were the sovereigns of Navarre. Previous research has indicated the existence of approximately 7,000 royal deeds produced between 1484 and 1594. These fragile manuscripts are largely unpublished and conserved not only in France but also in Spain. The identification of the documents will be possible through the use of inventories, accounting registers and an attentive analysis of archival documents, either originals or copies, produced by the royal authority or its agent, in privy or state Council or of its own volition, with the countersignature of an authorized officer (a secretary, superintendant of finances, treasurer, etc.). In parallel to this thorough research, a catalogue and a publication of historical documents will be created from the database of all royal deeds that may be found in the archives. Along with this database, other tools will be developed for the digital preservation of the documents and their accessibility online (using Omeka). In order to guarantee the interoperability and the permanence of storage of the data, this digital project will be based on open source environments and software. The catalogue will be available via open access on a dedicated website, accessible during its development, which will allow interested researchers to use the corpus in preparation for international conferences organized around the themes of constructing catalogues of medieval and early modern documents, the importance of royal deeds in institutional history, deeds as source documents of social and religious history in the 16th century (with an emphasis on the international dimension of the Court), as well as the utility of catalogues to the historian. Through the creation of the first catalogue and the first critical edition of royal deeds of Navarre produced from 1484 to 1594, this project crosses historical periods (covering both the end of the Middle Ages and the beginning of the Early Modern period) and crosses frontiers (as a result of the geographic distribution of the source documents, but also as a result of the participation of researchers from French and Spanish research centres). The project will contribute to a better understanding of the Renaissance, the Reformation and the French Wars of Religion, as well as to that of Franco-Spanish relations during a long 16th century.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
ioi2022,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Mason University,,United States,Omeka,,,,2014,,2014,"25,000.00",USD,"25,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,MG-30-14-0037-14 (a),MG-30-14-0037-14 (a),"George Mason University's Roy Rosenzweig Center for History and New Media (RRCHNM) will partner with Ideum and the University of Connecticut's Digital Media Center (UConn DMC) to develop ""Omeka Everywhere,"" a set of software packages including mobile and touch table applications and collections viewer templates, which will improve museums' collection accessibility to visitors by offering a simple, cost-effective solution for connecting onsite web content and in-gallery multisensory experiences. ""Omeka Everywhere"" will streamline the workflows for creating and sharing digital content with online and onsite visitors, demonstrate how institutions of all sizes and budgets can implement next-generation computer exhibit elements into current and new exhibition spaces, and empower smaller museums to rethink what is possible to implement on a shoestring budget.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
ioi2022,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Mason University,,United States,Omeka,,,,2014,,2014,"365,999.00",USD,"365,999.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,MG-30-14-0037-14,MG-30-14-0037-14,"George Mason University's Roy Rosenzweig Center for History and New Media (RRCHNM) will partner with Ideum and the University of Connecticut's Digital Media Center (UConn DMC) to develop ""Omeka Everywhere,"" a set of software packages including mobile and touch table applications and collections viewer templates, which will improve museums' collection accessibility to visitors by offering a simple, cost-effective solution for connecting onsite web content and in-gallery multisensory experiences. ""Omeka Everywhere"" will streamline the workflows for creating and sharing digital content with online and onsite visitors, demonstrate how institutions of all sizes and budgets can implement next-generation computer exhibit elements into current and new exhibition spaces, and empower smaller museums to rethink what is possible to implement on a shoestring budget.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Mason University,,United States,Omeka,,2010-10-01,2011-09-30,,,2010,4900000,USD,"5,000.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-10-0115-10-1,imls:log_number::LG-05-10-0115-10 (a),,"Building on the success of its open source Omeka Web publishing software, the Center for History and New Media (CHNM) at George Mason University will pilot test a new Omeka Commons. This centralized repository service will be designed to meet the needs of smaller cultural heritage and scholarship organizations that often have difficulty creating, delivering, and sustaining online digital collections. In this two-year pilot, the Commons will offer hosting and content backup services for a small test group of organizations, as well as a framework for online users to discover, use, and link to hosted digital collections and objects. CHNM will work with legal and technical advisors to evaluate metadata and licensing schema for the repository, and will produce a white paper with recommendations to guide future work.",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Mason University,,United States,Omeka,,2009-10-01,2010-09-30,,,2009,249761,USD,"249,761.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-10-0115-10,imls:log_number::LG-05-10-0115-10,,"Building on the success of its open source Omeka Web publishing software, the Center for History and New Media (CHNM) at George Mason University will pilot test a new Omeka Commons. This centralized repository service will be designed to meet the needs of smaller cultural heritage and scholarship organizations that often have difficulty creating, delivering, and sustaining online digital collections. In this two-year pilot, the Commons will offer hosting and content backup services for a small test group of organizations, as well as a framework for online users to discover, use, and link to hosted digital collections and objects. CHNM will work with legal and technical advisors to evaluate metadata and licensing schema for the repository, and will produce a white paper with recommendations to guide future work.",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Moore Free Library Association,,United States,Omeka,,2019-10-01,2020-09-30,,,2019,47452,USD,"47,452.00",imls.gov,https://www.imls.gov/grants/awarded/app-246083-ols-20,imls:log_number::APP-246083-OLS-20,,"Moore Free Library Association will engage the neighboring towns of Newfane and Brookline to collect local residents' stories in response to the community identifying the need to collect and share community stories. This project will inform the two communities' shared narrative and build connections among the 2,100+ individuals that reside in the towns. Stories will be archived, indexed using open source tool Omeka, and made accessible through the Library's new website. Moore Free Library will collaborate with the Historical Society of Windham County, Senior Solutions and Brattleboro Area Hospice, Vermont Folklife Center, and a corps of dedicated volunteers.",Accelerating Promising Practices for Small Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Mason University (College of Humanities and Social Sciences),,United States,Omeka,,2006-10-01,2007-09-30,,,2006,249817,USD,"249,817.00",imls.gov,https://www.imls.gov/grants/awarded/lg-24-07-0005-07,imls:log_number::LG-24-07-0005-07,,"The Center for History and New Media at George Mason University project will create OMEKA, a next-generation Web publishing tool that will enhance the ability of museums to showcase their collections and content online. OMEKA is designed specifically for smaller history museums, heritage societies, and historic sites that may not have the resources or expertise to create and maintain their own online tools. This new open source Web tool will offer an easy, professional, and state-of-the-art way for museums to display their content online. It will provide a standards-based interoperable system to share and use digital content in multiple contexts. The Web site (www.omeka.org) and conference presentations will inform interested museums about the tool.",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,International Crane Foundation,,United States,Omeka,,2011-10-01,2012-09-30,,,2011,71410,USD,"71,410.00",imls.gov,https://www.imls.gov/grants/awarded/ma-05-12-0276-12,imls:log_number::MA-05-12-0276-12,,"The International Crane Foundation will design and implement a management system for its collection of more than 34,000 digital assets to make them available online to the scientific community, teachers, students, media, and the general public. Using open-source Omeka as a web-publishing platform, the new digital collection will offer users an expanded selection of images, video, and sound files, as well as a more robust and interactive interface for searching and viewing. Project activities will include hiring a cataloging technician, developing internal protocols for evaluating and contributing digital assets to the management system, organizing and prioritizing key digital assets, installing Omeka, cataloging files, internal testing and trouble-shooting; developing the public interface, staff training, developing promotional materials for external audiences, publishing online exhibitions, surveying users, and evaluating feedback.",Museums for America,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Washington University (Gelman Library System),,United States,Omeka,,2011-10-01,2012-09-30,,,2011,19999,USD,"19,999.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-09-0197-09-1,imls:log_number::LG-05-09-0197-09 (a),,"The libraries of George Washington University and Georgetown University will digitize their jointly held collections of Western literature on the Middle East and works by Middle East and North African authors comprising more than 2,500 volumes. The collections will be freely accessible to scholars and the general public worldwide. As part of the digitization process, the project team will test and evaluate the performance of a Kirtas 2400 book scanner and assess its capacity to produce high-quality/high-volume digital scans of bound volumes. Both libraries will produce enriched metadata records necessary for discovery, access, and long-term management and preservation of the digital content created, using robust metadata standards. Virtual and physical exhibits highlighting the collection will be produced. The physical exhibit will open at the Gelman Library and travel to selected libraries and/or museums around the world. A virtual exhibit will be hosted on the IMLS-funded Omeka virtual exhibit platform (http://omeka.org/).",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Washington University (Gelman Library System),,United States,Omeka,,2008-10-01,2009-09-30,,,2008,399290,USD,"399,290.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-09-0197-09,imls:log_number::LG-05-09-0197-09,,"The libraries of George Washington University and Georgetown University will digitize their jointly held collections of Western literature on the Middle East and works by Middle East and North African authors comprising more than 2,500 volumes. The collections will be freely accessible to scholars and the general public worldwide. As part of the digitization process, the project team will test and evaluate the performance of a Kirtas 2400 book scanner and assess its capacity to produce high-quality/high-volume digital scans of bound volumes. Both libraries will produce enriched metadata records necessary for discovery, access, and long-term management and preservation of the digital content created, using robust metadata standards. Virtual and physical exhibits highlighting the collection will be produced. The physical exhibit will open at the Gelman Library and travel to selected libraries and/or museums around the world. A virtual exhibit will be hosted on the IMLS-funded Omeka virtual exhibit platform (http://omeka.org/).",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Mason University,,United States,Omeka,,2013-10-01,2014-09-30,,,2013,247926,USD,"247,926.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-14-0125-14,imls:log_number::LG-05-14-0125-14,,"The Roy Rosenzweig Center for History and New Media at George Mason University will build four plugins for Omeka that will facilitate the computational analysis of large collections and the close reading and annotation of individual digitized sources. In the effort to support the adoption and use of these tools by content experts, Omeka collections will produce a series of step-by-step case studies and usages. This will facilitate the computational analysis of large collections, and the close reading and annotation of individual digitized sources. A word frequency plugin will allow site creators and authorized users to offer a quantitative snapshot, and another plugin will allow them to chart the usage of words in document. With instructional guides and research case studies, these tools will help encourage both enthusiastic and reluctant scholars to explore digital archives, leading them to ask new types of research questions and explore topics previously out of their grasp.",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Museum of New Mexico Foundation,,United States,Omeka,,2015-10-01,2016-09-30,,,2015,249858,USD,"249,858.00",imls.gov,https://www.imls.gov/grants/awarded/lg-70-16-0047-16,imls:log_number::LG-70-16-0047-16,,"The State of New Mexico's Museum of Indian Arts and Culture, in collaboration with the New Mexico State Library Tribal Libraries Program and the Indian Pueblo Cultural Center, will create tools to extend the capacities of Omeka-S, a widely-used open source content management system. The suite of architectural and interactive features will include the translation of images stored in Omeka-S to the International Image Interoperability Format (IIIF), and enhanced tools for user tagging and annotations. Code for the tools will be shared openly on GitHub and with the Omeka-S community. The project will also result in the development of a model use case, demonstrating the technical and community impacts of the tools. A fellowship program will support the participation of individuals from New Mexico's Native communities in the development of the model use case.",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"University of California, Santa Cruz",,United States,Omeka,,2008-10-01,2009-09-30,,,2008,615175,USD,"615,175.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-09-0051-09,imls:log_number::LG-05-09-0051-09,,"The University of California, Santa Cruz Campus will digitize materials from its Grateful Dead Archive and make them available in a unique and cutting-edge Web site, the Virtual Terrapin Station. The Virtual Terrapin Station will provide access to Grateful Dead Archive materials and tools to facilitate public contributions to the archive. This project will enable the university to convert a significant part of a traditional archive to digital form and make it available online while simultaneously experimenting with the impact of fostering, creating, and curating a large, socially constructed archive. The project will develop a click-through permissions form for content contributors and will extend the reach of the Grateful Dead Archive to the academic research community. It will also implement and contribute to the development of the IMLS-funded exhibition tool, Omeka (http://omeka.org/).",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"University of California, Santa Cruz (University of California, Santa Cruz, University Library)",,United States,Omeka,,2011-10-01,2012-09-30,,,2011,400000,USD,"400,000.00",imls.gov,https://www.imls.gov/grants/awarded/lg-05-12-0690-12,imls:log_number::LG-05-12-0690-12,,"The University of California, Santa Cruz Library will partner with the Rosenzweig Center for History and New Media at George Mason University to develop and test a new ""curator dashboard"" plug-in for the Omeka web-publishing system for digital collections. The partners will produce a suite of workflows and tools that help educators, scholars, and library and museum staff build, describe, manage, and prepare digital collections for deposit in digital preservation storage repositories.",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,George Mason University,,United States,Omeka,,2014-10-01,2015-09-30,,,2014,249337,USD,"249,337.00",imls.gov,https://www.imls.gov/grants/awarded/lg-70-15-0258-15,imls:log_number::LG-70-15-0258-15,,"The University's Roy Rosenzweig Center for History and New Media will extend the core functionality of Omeka S by more fully integrating linked open data in digital collections, and creating new modes of access and dissemination through other platforms. The center will develop and support several deliverables: a basic resource description template; three linked open data and controlled authority modules; a social media sharing module; and several developer training workshops. Key outcomes include increasing the integration of LOD authority files in metadata for digital collections; the ability of cultural heritage organizations to implement their own local controlled authorities; the likelihood that new metadata for digital collections can be smoothly transferred to key aggregators of the national digital platform; the ease of circulation for digital cultural heritage collections through web and social media platforms; and the technical capacity of library, archive, and museum staff.",National Leadership Grants - Libraries,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,University of South Carolina Research Foundation,,United States,Omeka,George Williams [Project Director],2010-09-01,2011-08-31,2010,12,2010,24987,USD,"24,987.00",https://apps.neh.gov/open/data/,,neh::HD-51189-10,,"BRAILLESC.ORG > BrailleSC will combine participant expertise from the disciplines of English, education, and computer science to create a fully accessible, online scholarly resource concerning Braille literacy in South Carolina. The site will include oral histories from individuals about their experiences with Braille in everyday life; pedagogical materials to assist teachers in developing best practices in Braille instruction; and resources for families, stressing the importance of braille literacy and the methods of Braille instruction. Furthermore, the project is developing accessibility tools for Omeka and WordPress to overcome many of the web design problems that often frustrate visually impaired users. In partnership with the Center for Digital Humanities in Columbia, SC, and with guidance from the Center for History and New Media, we will model for the ways in which digital humanities projects can be designed and implemented with the needs of visually impaired users in mind.",Digital Humanities Start-Up Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,George Mason University,,United States,Omeka,Jessica Otis [Project Director]; Lincoln Mullen [Co Project Director],2019-09-01,2022-12-30,2019,39,2019,324733,USD,"324,733.00",https://apps.neh.gov/open/data/,,neh::HAA-266444-19,,"Datascribe: Enabling Structured Data Transcription in the Omeka S Web Platform > Datascribe is an application for a Level III Digital Humanities Advancement Grant to create a structured data transcription module, or plug-in, for the Omeka S platform for digital collections. Scholars often collect sources, such as government forms or institutional records, intending to transcribe them into datasets which can be analyzed or visualized. Existing software enables transcription into free-form text but not into tables of data. The proposed module will enable scholars to identify the structure of the data within their sources, speed up the transcription of their sources, and reliably structure their transcriptions in a form amenable to computational analysis. Scholars will be able to turn sources into tables of data stored as numbers, dates, or categories. This module will build on the Omeka S platform, enabling scholars to display transcriptions alongside the source images and metadata, to crowdsource transcriptions, and to publish their results on the web.",Digital Humanities Advancement Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Cabrini University,,United States,Omeka,Anne Schwelm [Project Director],2021-06-01,2024-05-31,2021,36,2021,148561.31,USD,"148,561.31",https://apps.neh.gov/open/data/,,neh::PW-277473-21,,"Digitizing America’s First Citizen Saints Project > The Digitizing America’s First Citizen Saint Project is a three-year project that will provide digital access to the papers and artifacts of the first naturalized American citizen elevated to sainthood, Frances Xavier Cabrini. The output of the project will be digitized images of approximately 290 items, which include manuscripts, volumes of bound materials and scrapbooks, photographs, as well as a publicly accessible online OMEKA exhibit. This collection and exhibit have high research value as they document the life and work of this significant figure and reveal the history, religious landscape, and immigrant milieu of the 19th century United States. Once completed, this project will contribute significant content and context to understanding Cabrini’s life and contribution to American history and America’s religious history and allow for new scholarship relating to issues of immigration, education, social services, anti-Catholicism, and women’s leadership.",Humanities Collections and Reference Resources > Preservation and Access,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"Indiana University, Indianapolis",,United States,Omeka,Jennifer Guiliano [Project Director],2019-03-01,2021-07-31,2019,29,2019,150000,USD,"150,000.00",https://apps.neh.gov/open/data/,,neh::MN-263821-19,,"Discover Indiana II > Discover Indiana II seeks support from the National Endowment for the Humanities to launch a state-wide content development drive in partnership with public libraries, museums, and/or county historians in eighteen counties in the state. We seek $396,661 to augment our 23 existing public tours, as well as develop 36 new tours by the close of the project period. Funding secured with this grant will support county-based training workshops led by the project team, subsidization of each county developing at least 2 of their own digital tours highlighting humanities topics, sites, and objects from their county or collections, as well as adding two additional functionalities to the existing Omeka+Curatescape platform which will allow us to fine-tune the geo-location schema to produce independent county landing pages and to add bibliographic entries to tours in an easy-to-use way.",Digital Projects for the Public: Production Grants > Public Programs,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Georgia Tech Research Corporation,,United States,Omeka,Todd Michney [Project Director]; Brad Rittenhouse [Co Project Director],2020-02-01,2023-01-31,2020,36,2020,99991,USD,"99,991.00",https://apps.neh.gov/open/data/,,neh::HAA-269020-20,,"Hidden Histories: Digitally Processing, Analyzing, and Visualizing Large Archives in Omeka > We are applying for an NEH grant to produce an Omeka plugin suite that leverages new visual and digital methodologies, enabling researchers and archivists to explore sizeable digital archives with minimal technical barriers. The resulting tool will allow users to produce key metadata and explore these archives by connecting the important entities they contain semantically and visually. It processes the entirety of a collection, so that queries return a more intuitive collection of significant entities within the collection, allowing users to navigate visually and semantically from an initial point of interest to all connected points in the archive. We have already produced a working prototype of the system, which Georgia Tech scholars are currently using for research. Primarily, the grant will provide us with time and resources to lead a team of Georgia Tech student researchers in the development of the platform.",Digital Humanities Advancement Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"Indiana University, Bloomington",,United States,Omeka,William Cowan [Project Director],2011-09-01,2013-08-31,2011,24,2011,49999,USD,"49,999.00",https://apps.neh.gov/open/data/,,neh::HD-51372-11,,"Incorporating Annotated Video into Omeka > Indiana University Bloomington’s (IUB) Institute for Digital Arts and Humanities requests a Level II grant to support the project ""Incorporating Annotated Video into Omeka."" During the grant period, IUB will build a plugin for the Web-publishing platform Omeka that will enable academic and cultural institutions and individuals to incorporate annotated video into online collections and exhibitions. Using either the client- or Web-based version of IUB’s software tool, the Annotator’s Workbench, scholars and cultural professionals will be able to segment and annotate video and upload it to an Omeka-based Web site using the plugin created by IUB. The annotated video plugin for Omeka will greatly enhance the pedagogical and research potential of video for online collections and exhibitions by providing humanities scholars and cultural institutions with a tool for incorporating video segments that contain integrated descriptive data linked specifically to the video content.",Digital Humanities Start-Up Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,New Mexico Highlands University,,United States,Omeka,Miriam Langer [Project Director],2020-07-01,2020-11-30,2020,5,2020,178353,USD,"178,353.00",https://apps.neh.gov/open/data/,,neh::HC-275036-20,,"Manitos Community Memory Project Digital Archive > The Manitos Community Memory Project is the continuation of an ongoing initiative, disrupted by the COVID-19 pandemic, to create a digital archive of the at-risk living cultures of the Indo-Hispano region of northern New Mexico and southern Colorado where natives often self-identify as Manitos and Manitas. Funding will allow New Mexico Highlands University to reassemble the team leading the initiative and to employ a Post-Doctoral Research Associate and two intern/trainees. Activities over the funding period will include: expanding and strengthening the network of Manito academic researchers and community partners; addressing technical and design issues with the Omeka S Digital Archive; providing training and technical assistance to community partners in transitioning from in-person to virtual memory gathering. [Edited by staff.]",Cooperative Agreements and Special Projects (Digital Humanities) > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Rector and Visitors of the University of Virginia,,United States,Omeka,Jeremy Boggs [Project Director],2016-09-01,2021-02-28,2016,54,2016,324554,USD,"324,554.00",https://apps.neh.gov/open/data/,,neh::HK-250712-16,,"Neatline - creates exhibits that target scholarly and public humanities audiences > This proposal requests funding for the continued development of Neatline, a plugin for the popular Omeka content management system. Neatline empowers scholars, students, librarians, archivists, cultural heritage professionals, and public humanities enthusiasts to create engaging, sophisticated, and visually compelling geotemporal interpretations of online collections. This proposal focuses its efforts on improving the sustainability of the Neatline codebase, working with the next version of Omeka currently being developed, upgrading the underlying mapping technologies to work better with mobile devices, improving the exhibit editing interface based on community feedback, creating a modern timeline interface based on the work of the Temporal Modelling project, improving the user, developer, and system administrator communities and documentation, as well as creating a compelling interface for integrating long-form scholarly narrative and/or primary textual sources.",Digital Humanities Implementation Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,University of North Carolina at Chapel Hill,,United States,Omeka,Hannah Gill [Project Director],2014-07-01,2017-06-30,2014,36,2014,240000,USD,"240,000.00",https://apps.neh.gov/open/data/,,neh::PW-51527-14,,"NEW ROOTS: Improving Global Access of Latino Oral Histories > We seek funding to enhance public access to The New Roots Latino Oral Histories, a collection of oral histories based at the University of North Carolina at Chapel Hill that documents the recent migration and settlement of Latinos in the southern United States. The project will enable better management and enhanced access to the oral histories, particularly within Spanish-speaking communities throughout the Americas. We will create a bilingual digital archive and a visually engaging website to connect public audiences to audio recordings, oral history transcripts, and a catalogue in English and Spanish. We will create an online publishing platform that will draw content from a larger repository at UNC Libraries using open source Omeka software. Funding will also support processing and translation of the collection's oral histories into Spanish and English and the creation of materials that will enable public audiences to better use and understand the collection.",Humanities Collections and Reference Resources > Preservation and Access,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,George Mason University,,United States,Omeka,Patrick Murray-John [Project Director],2018-01-01,2018-12-31,2018,12,2018,39076,USD,"39,076.00",https://apps.neh.gov/open/data/,,neh::HAA-258779-18,,"Omeka S ORCID Integration > The Roy Rosenzweig Center for History and New Media proposes an integration between Open Researcher and Contributor ID (ORCID) and Omeka S, a widely-used platform for publishing humanities content online. Omeka S puts special emphasis on the needs of small- to medium-sized institutions and integration with other systems and Linked Open Data (LOD). ORCID provides a global, standardized mechanism for reliably identifying scholars and researchers and for providing metadata about them via unique identifiers. ORCID data, however, is currently overwhelmingly tilted toward researchers in the sciences. This integration will encourage humanists to register an identifier with ORCID, fostering new connections between humanists' research. Thus, Omeka S would both augment ORCID's goal of ""enabl[ing] transparent and trustworthy connections between researchers, their contributions, and affiliations"" within the humanities, and it would expand the utility of Omeka S for users and data aggregators. ",Digital Humanities Advancement Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Kitchen Sisters Productions,,United States,Omeka,Nikki Silva [Project Director],2013-05-01,2014-04-30,2013,12,2013,60000,USD,"60,000.00",https://apps.neh.gov/open/data/,,neh::HD-51791-13,,"Pop Up Archive: Standardized Preservation and Distribution of Culturally Significant Audio > Pop Up Archive is a simple system to preserve audio content by making it searchable, reusable, and shareable in ways that are meaningful to scholars and producers. The Kitchen Sisters inspired and collaborated on the initial phase of the project, which entailed an academic survey of existing methods for storage of and access to audio content, as well as the alpha release of software plug-ins for Omeka. Phase two of the project, for which we are seeking a Level II Start-Up Grant, will finalize and test these plug-ins across public media organizations and oral history archives, create a centralized repository of audio records, and educate relevant communities through a shared web space. The system will be open source and will conform to national archival standards, without requiring technical expertise from participating organizations. For the first time, content can be indexed for safe and permanent preservation and made accessible to producers, scholars, students, and the public.",Digital Humanities Start-Up Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Filson Historical Society,,United States,Omeka,Patrick Lewis [Project Director]; Jennie Cole [Co Project Director],2022-01-01,2022-12-31,2022,12,2022,146364,USD,"146,364.00",https://apps.neh.gov/open/data/,,neh::ZRE-283698-22,,"Resurrecting the First American West > This project will ""resurrect"" the former Library of Congress American Memory Project, First American West, the Ohio River Valley, 1750-1820 (FAW). The Filson holds metadata and images of the Filson’s collection items from FAW, which the Library of Congress returned to us in 2016. This project will retain current Collections Department staff, adding two new PT hires, who will work remotely to clean up the data and involve the Filson's membership base and community in transcription work and name/subject indexing using a service called From the Page. Filson staff will then upload the improved materials into Omeka, our open-source platform for digital content. This project will in turn incorporate staff from other departments such as the Development and Educational departments, by leading to further related programming, publications, and educational content.",ARP-Organizations (Research-related) > Agency-wide Projects,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Florida Atlantic University,,United States,Omeka,Emily Fenichel [Project Director],2020-06-01,2023-05-31,2020,36,2020,231588,USD,"231,588.00",https://apps.neh.gov/open/data/,,neh::PW-269408-20,,"The Arquin Slide Collection Digitization Project: Preserving the Heritage of Latin America > The Arquin Slide Collection
Digitization Project will digitize Florence Arquin’s collection of 25,000
slides, create descriptive metadata, archive the images and metadata, and make
the collection accessible in a digital collection through a public website
created with Omeka S. Online access to the collection will serve as a powerful research
tool for scholars throughout the world who study Latin America and the
Caribbean.",Humanities Collections and Reference Resources > Preservation and Access,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,EV_TR,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Rector and Visitors of the University of Virginia,,United States,Omeka,Jennifer Stertzer [Project Director]; Erica Cavanaugh [Co Project Director]; Cathy Hajo [Co Project Director],2017-09-01,2018-12-31,2017,16,2017,18236,USD,"18,236.00",https://apps.neh.gov/open/data/,,neh::HAA-256175-17,,"The Development of Digital Documentary Editing Platforms > The Center for Digital Editing will host a forum that will bring together editors and technical experts currently engaged with two open-source content management systems -- Omeka and Drupal -- during a two-day workshop to discuss the use, development, and distribution of options for creating and publishing digital documentary editions. Information generated at this workshop will be made available through a website and presented at professional meetings and institutes to promote feedback and discussion.",Digital Humanities Advancement Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Go For Broke National Education Center,,United States,Omeka,Summer Espinoza [Project Director]; Linh Do [Project Director],2017-05-01,2019-09-30,2017,29,2017,193080,USD,"193,080.00",https://apps.neh.gov/open/data/,,neh::PW-253761-17,,"The Segregated Japanese American Military Units of World War II: Access to Veteran Moving Image Oral Histories > This is an 18-month project for digitization and
segment level indexing of 800 moving image oral history interviews of Japanese
American veterans who served in segregated units during World War II, while
many had families imprisoned in War Relocation Authority incarceration camps.
The broadcast-quality interviews, collected across the US beginning in 1998,
capture the experiences of JA veterans who served throughout the European and
Pacific Theaters. The videotapes will be digitized to archival standards at the
University of Southern California Digital Repository. GFB has implemented a
highly-searchable web-based digital platform that integrates University of
Kentucky's Oral History Metadata Synchronizer and open source Omeka web
publishing platform. Segment level indexing will allow researchers to search by
topic and keyword and be connected to specific moments in an interview, thus
eliminating research time sitting through playback to locate relevant video
segments.",Humanities Collections and Reference Resources > Preservation and Access,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,George Mason University,,United States,Omeka,Sheila Brennan [Project Director]; Christopher Hamner [Project Director],2017-09-01,2020-08-31,2017,36,2017,180000,USD,"180,000.00",https://apps.neh.gov/open/data/,,neh::HAA-256158-17,,Transcribing and Linking Early American Records with Scripto and Omeka S > RRCHNM seeks a Level III Digital Humanities Advancement Grant from the NEH-ODH to 1) update and redesign the Scripto transcription tool to make it compatible with the new data architecture in Omeka S; 2) migrate the substantial holdings in the Papers of the War Department collections to Omeka S; 3) and use the project as the basis for producing a number of publications and guides that will support other cultural heritage organizations in their efforts to develop community transcription projects with Scripto and Omeka S.,Digital Humanities Advancement Grants > Digital Humanities,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Mississippi State University,,United States,Omeka,Susannah Ural [Project Director],2023-06-01,2026-05-31,2023,36,2023,349860,USD,"349,860.00",https://apps.neh.gov/open/data/,,neh::PW-290542-23,,"Unheard Voices in War, Freedom, and Uneasy Peace: The Civil War & Reconstruction Governors of Mississippi Project > The Civil War and Reconstruction Governors of Mississippi Project (CWRGM) is an open-access digital documentary edition of over 20,000 documents from the state's governors'' papers spanning nine administrations from 1859 through John Marshall Stone's first term (1876-1882). As of July 2022, our Omeka-S-based website provides free access to nearly 7,000 documents that include digital document files, metadata, transcriptions, enhanced subject tagging, a full index, and additional annotations. We are committed to completing this project over a ten-year period that began in 2020. With this in mind, CWRGM is seeking a three-year NEH Humanities Collections and Reference Resources (HCRR) grant of $349,862 to provide critical funding for the next three years of this project. We are a past recipient of NEH HCRR support (2020-2023) and we are proud to report that we are meeting our objectives despite the challenges of the COVID-19 pandemic.",Humanities Collections and Reference Resources > Preservation and Access,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of New Mexico,,United States,Omeka,Nancy Lopez,2023-08-01,2028-07-31,,,2023,510597,USD,"510,597.00",nsf,,2310990,"Collaborative Research: HSI-Hubs: Intersectionality as Inquiry & Praxis: Race, Class, Gender & Ethnicity for Student Success in STEM","With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this HUB Project aims to convene The University of New Mexico (UNM), New Mexico State University (NMSU), Central New Mexico Community College (CNM), City College, The City University of New York (CCNY-CUNY), Lehman College (Lehman-CUNY), Hostos Community College (Hostos-CUNY) to re-envision data and equity metrics, convene communities of practice and transform narratives about advancing equity in STEM. Institutions of higher education define underserved students using one-dimensional status metrics (e.g., first-generation college, PELL, gender, Native American, African-American and Hispanic/Latinx, etc.). Yet, research shows this is insufficient for documenting and eliminating inequities (McCall 2001; Irizarry 2015; López, Erwin, Binder & Chavez 2018). There is an urgent need to operationalize intersectionality as a new angle of vision for strategic planning and equitable distribution of resources (e.g., admissions, degrees earned, department/institutional culture shift, state-level funding formulas/distribution of resources, federal data collection and accountability metrics/IPEDS, etc.). Intersectionality (attention to the mutual constitution of race, gender, class, ethnicity and other axes of inequality as analytically distinct and simultaneous systems of power, oppression, resistance in a given sociohistorical and institutional context) is a powerful tool for making inequities visible and helping institutions of higher education create effective actions for advancing undergraduate student success in STEM and beyond. <br/><br/>Our HSI-hub is a multi-faceted resource, connector and catalyst for enduring system-wide equity transformations that incubate the promise of intersectionality for knowledge production and policy for equity impact. Our synergistic and phased deliverables include: 1.) HSI STEM Data and Policy Network for Action; 2.) HSI STEM Communities of Practice: Faculty Fellows and Stakeholders Advancing Equity Through Intersectionality; and 3.) HSI STEM Centering Intersectionality as Equity through Narrative Change, Communication Strategies and Publications. Our deliverables include a dedicated website, policy briefs, and academic papers. Project products will be archived in the UNM digital repository, tagged under the following subjects: “Hispanic Serving Institutions (HSIs),” “Intersectionality,” “Equity,” “Higher Education,” “Student Success,” and “Metrics.” The repository is accessible to anyone with internet access. In order to increase visibility and impact, select data and project materials, will be converted to a format suitable for upload to JSTOR-FORUM and OMEKA databases and catalogued in WorldCat. Acknowledging the importance of intersectionality for advancing equity, without a strategic plan to remove barriers and redistribute resources for advancing student success, is a missed opportunity. “Taking a truly intersectional approach will enable us to think and act differently to remove systemic barriers to education” (Harpur, Szucs & Willox 2022:14). The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge on how to achieve these aims.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,CUNY City College,,United States,Omeka,Ramona Hernandez,2023-08-01,2028-07-31,,,2023,604088,USD,"604,088.00",nsf,,2310991,"Collaborative Research: HSI-Hubs: Intersectionality as Inquiry & Praxis: Race, Class, Gender & Ethnicity for Student Success in STEM","With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this HUB Project aims to convene The University of New Mexico (UNM), New Mexico State University (NMSU), Central New Mexico Community College (CNM), City College, The City University of New York (CCNY-CUNY), Lehman College (Lehman-CUNY), Hostos Community College (Hostos-CUNY) to re-envision data and equity metrics, convene communities of practice and transform narratives about advancing equity in STEM. Institutions of higher education define underserved students using one-dimensional status metrics (e.g., first-generation college, PELL, gender, Native American, African-American and Hispanic/Latinx, etc.). Yet, research shows this is insufficient for documenting and eliminating inequities (McCall 2001; Irizarry 2015; López, Erwin, Binder & Chavez 2018). There is an urgent need to operationalize intersectionality as a new angle of vision for strategic planning and equitable distribution of resources (e.g., admissions, degrees earned, department/institutional culture shift, state-level funding formulas/distribution of resources, federal data collection and accountability metrics/IPEDS, etc.). Intersectionality (attention to the mutual constitution of race, gender, class, ethnicity and other axes of inequality as analytically distinct and simultaneous systems of power, oppression, resistance in a given sociohistorical and institutional context) is a powerful tool for making inequities visible and helping institutions of higher education create effective actions for advancing undergraduate student success in STEM and beyond. <br/><br/>Our HSI-hub is a multi-faceted resource, connector and catalyst for enduring system-wide equity transformations that incubate the promise of intersectionality for knowledge production and policy for equity impact. Our synergistic and phased deliverables include: 1.) HSI STEM Data and Policy Network for Action; 2.) HSI STEM Communities of Practice: Faculty Fellows and Stakeholders Advancing Equity Through Intersectionality; and 3.) HSI STEM Centering Intersectionality as Equity through Narrative Change, Communication Strategies and Publications. Our deliverables include a dedicated website, policy briefs, and academic. Project products will be archived in the UNM digital repository, tagged under the following subjects: “Hispanic Serving Institutions (HSIs),” “Intersectionality,” “Equity,” “Higher Education,” “Student Success,” and “Metrics.” The repository is accessible to anyone with internet access. In order to increase visibility and impact, select data and project materials, will be converted to a format suitable for upload to JSTOR-FORUM and OMEKA databases and catalogued in WorldCat. Acknowledging the importance of intersectionality for advancing equity, without a strategic plan to remove barriers and redistribute resources for advancing student success, is a missed opportunity. “Taking a truly intersectional approach will enable us to think and act differently to remove systemic barriers to education” (Harpur, Szucs & Willox 2022:14). The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge on how to achieve these aims.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Exeter,,United Kingdom,Omeka,,2021-09-30,2024-09-29,,,2021,0,GBP,,openaire,,ukri________::6403f9d089cd17112da4adec31d5ab05,"Research-based 3D modelling of Renaissance built environments: workflow, uncertainty and standards","We seek to recruit and train a PhD student that will work in the field of 3D digital reconstruction, and its associated methods and standards. The project will develop and apply innovative methodologies to examples relating to the art and architecture of Renaissance Florence connecting with the National Gallery collections, most likely one or more artworks originally produced (c. 1400-1550). It will be delivered in parallel to an ongoing collaboration between the National Gallery and Prof. Nevola's 'Immersive Renaissance' project (funded by the Getty Foundation, through its Digital Art History initiative).
The PhD project has a core focus on the technical application of 3D modelling to heritage and museums contexts, built around key case examples centred on selected works in the National Gallery, to reconstruct their original settings and
environment. The candidate will adopt and further develop the workflow that has been developed for research-based modelling as part of the Florence4D project; particular attention will be given to establishing standards for the application of
IIIF to 3D models and going beyond the specific technical task to develop and resolve some of the research questions that arise from the process. The project case examples focus on artworks originally produced in Florence, framing these
through spatial digital technologies, primarily interoperable 3D modelling. It should be noted that the project is 'covid-proof' in that much of the necessary data collection (in the form of high resolution lidar scans and photogrammetry) has already been conducted, meaning that desk-based work can begin from the outset.
Two likely case examples will form the basis for a significant contribution to the art-historical scholarship, and to the existing knowledge on major works in the National Gallery collections: Filippino Lippi altar for the Rucellai chapel at San Pancrazio (https://www.nationalgallery.org.uk/paintings/filippino-lippi-the-virgin-and-child-with-saints-jerome-and-dominic) and the 'Camera terrena' of the Palazzo Medici including paintings in the National Gallery collection: Paolo Uccello, 'Battle of San Romano' (https://www.nationalgallery.org.uk/paintings/paolo-uccello-the-battle-of-san-romano). The underpinning art historical research for these is underway in ongoing research conducted by theFlorence4D project, and necessary scan data was collected in October 2020. The research data will be structured in an OmekaS database using a CiDOC-CRM ontologies, allowing the student to directly work on methodologies for linking underpinning data to the 3D models produced.
This project will be conducted as a collaboration with the National Gallery on account of the Gallery's unrivalled collection of relevant artworks and the potential of extending the contextualized understanding of these through research-based digital visualisation. We would also welcome the student developing possible connections with the other CDP institutions, the Bowes Museum and York Museums Trust, as both have Italian holdings in their collections. This could perhaps relate to the development of a simplified workflow for a virtual 3D room, populated with collections objects, for the purposes of visualisation for visitors. There is also potential for exploring the extension of these model through redeployment to a
3D/AR app platform as a replicable public-facing output.
The activity will build on growing activity the National Gallery is involved in through digital approaches to research and audience engagement, while also developing the skills of the PhD student and extending the digital art history capacity and expertise at the University of Exeter.",,"Digital library, collection or exhibit platform",,,"Digital library, collection or exhibit platform, , "
oic_scrape,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,Villanova University,,United States,VuFind,,2008-09-18,2010-09-18,2008,24 months,2008,50000,USD,"50,000.00",mellon.org,https://https://www.mellon.org/grant-details/7700,mellon:grants::7700,,to support the development of open source software associated with the VuFind project,Higher Learning,Discovery system,,,"Discovery system, , "
openaire,RD,Direct,European Commission,https://ror.org/00k4n6c32,Public,European Molecular Biology Laboratory,,Germany,Europe PMC,,2014-09-01,2015-08-31,,,2014,60000,EUR,"78,798.00",openaire,,corda__h2020::9b9d7e5cfa8566b5169b570a46cfcfac,Extracting funding statements from full text research articles in the life sciences,"In support of the ERC open access strategy, it is critical for the ERC to identify published scientific articles that have been based on its funding schemes, in order to assess the impact of the research supported. Currently, the relationship between funding source and article is made only sporadically, years later in end-of-grant reports, or lost altogether, as there is no structured method for recording these associations.
Ideally, the funding source should be identified as part of journal manuscript submission processes, however, this idea is currently in its very early stages and will not address the backlog of articles already published. Therefore, we propose to use text-mining methods to identify funding statements in full text articles available in Europe PubMed Central as an accurate and cost-effective solution to linking articles to funding sources. We will assess the outcomes through standard text-mining quality-assessment methods as well as through consultation with ERCEA staff. Anticipating useful outcomes, we will use the methods developed to identify ERC-funded articles in Europe PubMed Central on a routine basis, and make those results available in the search and article browse features on the Europe PubMed Central website. Finally, we will explore the feasibility of extending the approach to other Europe PubMed Central funders.",,Discovery system,,,"Discovery system, , "
openaire,OPS,Direct,European Commission,https://ror.org/00k4n6c32,Public,Wellcome Trust,,United Kingdom,Europe PMC,,2014-01-01,2016-03-31,,,2014,230000,EUR,"314,134.00",openaire,,corda__h2020::41c827114ae482f11ca0516a7ff376ea,Support towards the Europe PMC initiative-Contribution for 2014-2016,"The proposed action will provide continued support to the European Research Council (ERC) in the implementation of its Open Access strategy for projects funded in the Life Sciences domain. It follows on from the project ""Support towards the Europe PMC initiative-Contribution for 2013""(ERC-EuropePMC-SUP-2013) which has allowed the ERC to offer the benefits of Europe PMC to its funded researchers for the first time in 2013. The ERC Open Access strategy, and how the present project will assist the ERC in its implementation, is explained below",,Discovery system,,,"Discovery system, , "
openaire,OPS,Direct,European Commission,https://ror.org/00k4n6c32,Public,Wellcome Trust,,United Kingdom,Europe PMC,,2016-04-01,2021-03-31,,,2016,850000,EUR,"971,720.00",openaire,,corda__h2020::0b89140b81e29718298a36a63b579d79,Support to the Europe PMC initiative – Co-funding grant for the 2016-2021 period,"The proposed coordination and support action will provide continued support to the European Research Council (ERC) in the implementation of its Open Access strategy for projects funded in the Life Sciences domain. It follows on from the projects “Support towards the Europe PMC initiative – Contribution for 2014-2016” (ERC-EuropePMC-1-2014) and “Support towards the Europe PMC initiative – Contribution for 2013” (ERC-EuropePMC-SUP-2013) which allowed the ERC to offer the benefits of Europe PubMed Central (Europe PMC http://europepmc.org/) to its funded researchers for the first time in 2013.
The proposed project concerns the giving of a grant to EMBL-EBI for the purpose of ensuring the further development and maintenance of Europe PMC, beyond the work done as part of ERC-EuropePMC-SUP-2013 and ERC-EuropePMC-1-2014, for the period 1st April 2016 – 31st March 2021 (60 months). Support towards this project is requested from the ERC on a co-funding basis.",,Discovery system,,,"Discovery system, , "
openaire,OPS,Direct,European Commission,https://ror.org/00k4n6c32,Public,Wellcome Trust,,United Kingdom,Europe PMC,,2021-04-01,2026-03-31,,,2021,1000000,EUR,"1,174,600.00",openaire,,corda__h2020::0f7dc7c15824366ff4e4807e298b94e7,Support to the Europe PMC initiative (2021-2026),"This proposed action will ensure the continued support to the European Research Council (ERC) in the implementation of its Open Access strategy for projects funded in the Life Sciences domain. The ERC was first able to offer the benefits of Europe PubMed Central (Europe PMC http://europepmc.org) to its funded researchers in 2013 through “Support towards the Europe PMC initiative – Contribution for 2013” (ERC-EuropePMC-SUP-2013). Since then two subsequent rounds of funding have ensured the continuation of this provision (“Support towards the Europe PMC initiative – Contribution for 2014-2016” (ERC-EuropePMC-1-2014) and “Support to the Europe PMC initiative – Co-funding grant for the 2016-2021 period” (ERC-EuropePMC-2015)).
The project for which funding is sought, on a co-funding basis, concerns the awarding and monitoring of a grant to EMBL-EBI to ensure the continued maintenance and development of Europe PMC. The application from EMBL-EBI to Wellcome Trust outlines their strategy and objectives for Europe PMC including further development of its services in the areas of data linkage and text mining to enrich content within the repository and to support the monitoring of funder open access policies. Support is requested for the period 1st April 2021 – 31st March 2026 (60 months).",,Discovery system,,,"Discovery system, , "
openaire,RD,Direct,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz18,Public,Aix-Marseille université,,France,OpenEdition,,2012-03-17,,,,2012,7000000,EUR,"9,205,000.00",openaire,,anr_________::97af3211d8f11cd081debc19523db314,Bibliothèque numérique pour les humanités ouvertes,"""L'équipement d'excellence consiste à mener un programme ambitieux de numérisation et de diffusion en ligne d’ouvrages de sciences humaines & sociales, dont le choix s’appuie sur des critères d’excellence scientifique, garantis par le travail d’un conseil scientifique de niveau international. Il s’agit ensuite de construire un environnement numérique global pour la production et la diffusion des savoirs intégrant différents types de documents: livres, revues, carnets de recherche (ou blogs) et programmes scientifiques. Il s'agit espaceenfin, d'assurer la pérennité de l'équipement et de financer les éditeurs faisant le choix de l'Open Access grâce au programme de diffusion commercial """"O.A freemium"""". espaceL'an 2020 constitue la 8è espaceannée effective de mise en œuvre de l’Equipex. Cette année a été marquée par: espacele développement de la plateforme de livres OpenEdition Books avec plus de 10 000 livres effectivement mis en ligne, soit plus de 66 % du programme initial. L'objectif du nombre de livres en ligne fin 2020 (15 000 au lancement du projet) a été discuté en Comité de pilotage en 2017 et avait été redéfini à hauteur de 10 000 ouvrages traités (envoyés en numérisation) soit 100 % du nouvel objectif défini; la mise en ligne de nombreux carnets de recherche. Au 14.01.2021, 3822 carnets sont au catalogue, l’objectif de 1500 carnets en ligne à la fin du financement de l’équipement espacea donc été largement dépassé;le développement d'OpenEdition Freemium lancée le 30 octobre 2013 - le C.A global a atteint 1?121?621,64 € en 2020;la poursuite de l’internationalisation de nos plateformes: en termes de contenus non francophones, nous sommes en 2020 à 15% des livres espaceet à 25,1% des carnets Hypothèses produits hors de France (en cumulé), les objectifs étant donc dépassés (ils étaient fixés à 20% de livres et carnets publiés hors de France); en terme de livres édités hors France, ils représentent 40 % des livres publiés en 2020;la crise sanitaire sur nos activités de formation.""",,Discovery system,,,"Discovery system, , "
openaire,RD,Direct,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz21,Public,Aix-Marseille université,,France,OpenEdition,,2021-11-15,,,,2021,10670000,EUR,"12,210,748.00",openaire,,anr_________::e9a6b48472047af2154beb0545be68de,COnsortium of Mutualised Means for OpeN data & Services for SSH,"COMMONS est un équipement qui construit un environnement numérique unifié accessible au travers d’une offre de services liant données et publications. Il s’inscrit pleinement dans les logiques et dans les objectifs de mise en œuvre des principes de la science ouverte dans le domaine des SHS.Il optimise par une meilleure articulation et une plus grande interopérabilité les services conçus dans le cadre de collaborations déjà en oeuvre entre les trois infrastructures Huma-Num, Métopes et OpenEdition et par la création des services nouveaux afin d’en intensifier les usages en simplifiant l’appropriation par l’utilisateur de cet environnement.L'équipement couvre les besoins de l'ensemble du cycle de vie d'un projet de recherche de la collecte de données à la publication scientifique en procurant les différents outils et services numériques permettant la mise en œuvre des principes FAIR.COMMONS est pensé pour transformer en profondeur les pratiques inscrites dans le cycle de la recherche et leur impact sociétal. En s'inscrivant dans un écosystème standardisé, il augmente la visibilité internationale des SHS françaises.Au cours de l’année 2022, le projet s’est concentré sur la modernisation de l’infrastructure logicielle des trois infrastructures (Huma-Num, Métopes et OpenEdition), cette phase passera en production en 2023 et permettra ensuite d’optimiser l’ensemble des services et de déployer les innovations.",,Discovery system,,,"Discovery system, , "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Universidade de Evora - Portugal,,Portugal,OpenEdition,,2020-01-01,2023-12-31,,,2020,315000,EUR,"352,579.50",openaire,,fct_________::308ec36720de20223c0151bf81f7de57,"Interdisciplinary Centre for History, Culture(s) and Society","10.2 Summary in English for general dissemination purposes
CIDEHUS investigates societal changes in the South of Portugal, Southern Europe, Mediterranean region and other areas historically connected to Iberian countries, in the long term, as well as their cultural heritage features.
CIDEHUS embodies a multidisciplinary approach, and adopts territories, process analysis, and the categories inclusion/exclusion as observation axes. Articulating eight facets, the plan of activities aims at fulfilling the Unit’s goals, promoting its development at the international level, without forgetting the country and the region where it is located.
1. RESEARCH:
The core activity consists in conducting quality research on the main topic of the strategic program. Research groups carry out their respective anchor projects, centered in societal changes in the South (G1) and in the varied marks (material and intangible) of those changes (G2). Apart from the ongoing activities, CIDEHUS will apply new projects to European, national and regional calls.
2. ADVANCED STUDIES:
CIDEHUS will focus on: 1) strengthening the connection between advanced studies cycles and research; 2) carrying out interinstitutional, interdisciplinary and international graduated courses; 3) creating opportunities for Master and PhD students (scholarships for assignments abroad; acquisition of bibliographical resources; shared information on scholarships/job opportunities).
3. DISSEMINATION OF RESULTS:
Annual organisation, in Portugal or abroad, of one or two big conferences with major international impact. Besides conferences, workshops and conference cycles, CIDEHUS will give continuity to permanent seminars and will support international missions of its researchers.
4. TRANSFER:
Highlights: the extension of the Social Innovation Experiences of the UNESCO Chair; support to the two existing laboratories (Demography and Tourism), and the maximization of CIDEHUSDigital as means of sharing knowledge in several areas.
5. NETWORKS AND INTER-INSTITUTIONAL COOPERATION:
Faithful to the Center’s mission, inter-institutional cooperation will be a must. CIDEHUS will create a network of former CIDEHUS members who are currently conducting research in other countries.
6. EDITIONS:
The Center will launch an annual call for papers open to non-CIDEHUS members. It will also prepare the entrance of Hamsa in the OpenEdition (2018-2019) and its indexation in reference bibliographical bases. Furthermore, a collection of pedagogic material online will be created.
7. OUTREACH ACTIVITIES & COMMUNICATION:
Organization of free courses, production of video documentaries and MOOCs; rehearsal of collaborative experiences (recalling memories) with populations of several locations and the consolidation of CIDEHUS’ mark in Science communication.
8. DIGITAL CURATORSHIP:
CIDEHUS will continue to permanently update its digital repositories, assuring data quality to foment its reuse and taking care of the long-term preservation.
10.3 Summary in English for evaluation
Articulating 8 facets, this plan of activities aims at fulfilling CIDEHUS’s goals, and promoting its development in international context, without forgetting the region and the country where it is located.
1.RESEARCH:
- To advance quality research about the program’s main topic, through anchor projects in each Group: G1 - production of 4 e-books about societal changes in the South (10th-20th centuries); G2 - digital products and content publication for different audiences, including 2 e-books specialised in historical-heritage landscapes of the South.
- To apply for new projects (European, national, regional) and to develop the approved or ongoing research projects: Resistance; Creatour; DB Heritage,etc. To stimulate young PhDs to apply for projects and integrate other projects’ teams.
- To develop inside training -(IN)Formation Days -, keeping the team updated; to stimulate creativity and interdisciplinary dialogue to foster innovation.
2.ADVANCED STUDIES:
- To reinforce the connection between research/advanced studies and 1st cycle degrees, through internships of undergraduate students in projects and at CIDEHUS; to organize shared methodologies’ workshops, for all cycles; in Masters/PhD courses, organization of modules by post-docs, in their work fields; to support national and international meetings for young researchers.
- To open annually a call for international scholarships (missions/internships of short duration) for Masters and PhD students, belonging to CIDEHUS.
- To favour the doctoral students and the needs of the strategic program in the acquisition of bibliography.
- To organize seminars for thesis projects’ discussion and work’s progression monitoring.
- To open calls for PhD scholarships, privileging projects that develop and deepen the program of the Center.
- To organize summer/winter schools, in partnership with other institutions.
3.DISSEMINATING RESEARCH RESULTS:
- To support and/or organize 1 or 2 major international conferences per year, in Portugal or abroad, associating the Center to outstanding events (e.g. Patrimonial Libraries and Digital Humanities, Gulbenkian-Paris/Université Paris III/CIDEHUS, 2018 or 2019; Societal Changes and the History of the Southern Europe I - 2019 and II - 2021).
- To maintain and develop permanent seminars. To organize colloquiums/seminars to discuss intermediate or final results of projects or major international events, focusing on areas of the Center’s strategic program.
- To organize conferences and conference cycles, preferably in partnership.
- To support CIDEHUS members’ missions abroad, to disseminate results.
4.KNOWLEDGE TRANSFER:
- To support the Demography and Tourism’s laboratories, and other instruments focused on knowledge transfer.
- To support and widen the Social Innovation Experiences of the UNESCO Chair.
- To establish partnerships with, at least, one Fablab, seeking patentable experiences, essential to apply for regional projects.
5.NETWORKS & INTERINSTITUTIONAL COOPERATION:
- To participate in regional and international networks(e.g. school libraries, archives, museum organizations, etc);
- To organize networks’ meetings (e.g. REPORT(H)A Meeting, 2019);
- To cooperate with the most diverse institutions (national and international, involved or not in this application), including UÉ’s platforms (Heritage & Mediterranean Studies), in order to: develop the Unit’s strategic project; to cooperate with the ENEI (National Strategy for Smart Specialization) and the EREIs (Regional Strategy for Smart Specialization); to apply for projects; to share equipment; to organize scientific events and outreach activities or for the diffusion of scientific culture.
- To create the CIDEHUSDiáspora network of former CIDEHUS integrated members, currently conducting research in other countries.
- To develop cross-border cooperation.
- To reinforce cooperation with MED - Mediterranean Institute for Agriculture Environment and Development, and other centers, in the scope of Environmental History/Agrarian History. To develop contacts with MED and CIMAC(Central Alentejo inter-municipality Commission) in the SIG’s framework (Historical Atlas).
6.EDITIONS:
- To support publishing of CIDEHUS research, mostly as e-books and with peer review. To stimulate the preparation of books in English. To support the edition and translation/linguistic revision of articles and other texts.
- To launch an annual call, in each collection of CIDEHUS, for external authors’ works related to themes of the strategic program.
- To prepare the entrance of Hamsa in the OpenEdition (2018-2019) and its indexation in reference databases. To maintain the CIDEHUS participation in other journals and improve Population News.
- To create a collection of online pedagogic material: Paedagogus.
- To create a collection of e-Working Papers, aimed at publishing quality Master’s theses.
- To maintain the Newsletter and the CIDEHUS Agenda; to update and publish a general chronogram of activities twice a year.
7.OUTREACH ACTIVITIES & COMMUNICATION
- To organize free courses of regional, national and international scope (e.g.Paleography, Islam and the Islamic world, Immaterial Heritage, etc).
- To develop video documentaries (e.g.: Time Memory).
- To produce 2 MOOCs.
- To organize exhibitions, some of them itinerant, and to develop other creative outreach activities.
- To recover memories of several territories, involving the local population.
- To improve the website’s English version (2018) and keep it updated.
- To widen CIDEHUS’ social media.
- To spread CIDEHUS brand in Science communication.
8.DIGITAL CURATORSHIP:
- To maintain CIDEHUS’data bases updated.
- To develop the data repository and stimulate the deposit of new digital materials with quality metadata.
- To insert CIDEHUS digital objects in RNOD and in the Europeana.
- To encourage the inclusion of texts in UÉ’s Digital Repository, and to tune the team with Open Science and long-term preservation. O CIDEHUS estuda, na longa duração, as mudanças societais no Sul (de Portugal, Europa, Mediterrâneo e outras regiões historicamente ligadas à Península Ibérica) e as diversas marcas deixadas por essas alterações.
O Centro assume a muldisciplinaridade da equipa como uma mais-valia, bem como os seguintes eixos de observação: análise de processos, território(s), inclusão/exclusão. Visando cumprir a missão e os objetivos do CIDEHUS, as 8 vertentes enunciadas no plano de atividades serão promovidas preferencialmente no âmbito internacional, sem esquecer, porém, o país e a região onde se insere o Centro.
1.INVESTIGAÇÃO:
A atividade nuclear consiste em realizar investigação de qualidade sobre o tópico central do programa estratégico. Os grupos de investigação levam a cabo os respetivos projetos âncora, centrados nas mudanças societais no Sul(G1) e nas marcas histórico-patrimoniais daí resultantes(G2). Além de desenvolver os atuais, o Centro candidatará novos projetos a agências de financiamento competitivo (europeias, nacionais, regionais).
2.FORMAÇÃO AVANÇADA:
O Centro apostará em: 1) fortalecer as conexões entre os vários ciclos de formação e a investigação; 2) realizar cursos interinstitucionais, interdisciplinares e internacionais; 3) criar oportunidades para mestrandos e doutorandos (bolsas para missões no estrangeiro; prioridade na aquisição de recursos bibliográficos; informação constante sobre oportunidades de formação/emprego).
3.DISSEMINAÇÃO DE RESULTADOS:
Organizará, anualmente, em Portugal ou no estrangeiro, 1 a 2 congressos com grande impacto internacional. Além de organizar colóquios e ciclos de conferências, o Centro dará continuidade aos seminários permanentes e apoiará missões internacionais dos seus investigadores.
4.TRANSFERÊNCIA:
Refira-se o alargamento das “experiências de inovação social” da Cátedra UNESCO, o apoio aos 2 laboratórios existentes (Demografia e Turismo) e a potenciação do CIDEHUSDigital para transferir de conhecimento em várias áreas.
5.REDES E COOPERAÇÃO INTERINSTITUCIONAL:
Inerente à missão do Centro, a cooperação interinstitucional será a tónica. Destaca-se a criação de uma rede de ex-membros integrados do Centro, atualmente a investigar noutros países.
6.EDIÇÕES:
O Centro abrirá um aviso anual para publicar títulos de autores externos. Também preparará a entrada da Hamsa na OpenEdition(2018-2019) e a indexação desta revista em bases bibliográficas de referência. Criará uma coleção de materiais pedagógicos on-line.
7.EXTENSÃO À COMUNIDADE E COMUNICAÇÃO:
Refira-se, por ex.: organização de cursos livres, realização de documentários em vídeo, produção de MOOCs, ensaio de experiências colaborativas (recolha de memórias junto da população de várias localidades) e afirmação da marca CIDEHUS na comunicação de Ciência.
8.CURADORIA DIGITAL:
Salientam-se: atualização permanente dos repositórios; observância da qualidade dos dados para permitir a reutilização destes; medidas para garantir a preservação na longa duração.",,Discovery system,,,"Discovery system, , "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Universidade de Evora - Portugal,,Portugal,OpenEdition,,2020-01-01,2023-12-31,,,2020,937500,EUR,"1,049,343.75",openaire,,fct_________::ae6f61403bd80b0127c046957cc74097,"Interdisciplinary Centre for History, Culture(s) and Society","10.2 Summary in English for general dissemination purposes
CIDEHUS investigates societal changes in the South of Portugal, Southern Europe, Mediterranean region and other areas historically connected to Iberian countries, in the long term, as well as their cultural heritage features.
CIDEHUS embodies a multidisciplinary approach, and adopts territories, process analysis, and the categories inclusion/exclusion as observation axes. Articulating eight facets, the plan of activities aims at fulfilling the Unit’s goals, promoting its development at the international level, without forgetting the country and the region where it is located.
1. RESEARCH:
The core activity consists in conducting quality research on the main topic of the strategic program. Research groups carry out their respective anchor projects, centered in societal changes in the South (G1) and in the varied marks (material and intangible) of those changes (G2). Apart from the ongoing activities, CIDEHUS will apply new projects to European, national and regional calls.
2. ADVANCED STUDIES:
CIDEHUS will focus on: 1) strengthening the connection between advanced studies cycles and research; 2) carrying out interinstitutional, interdisciplinary and international graduated courses; 3) creating opportunities for Master and PhD students (scholarships for assignments abroad; acquisition of bibliographical resources; shared information on scholarships/job opportunities).
3. DISSEMINATION OF RESULTS:
Annual organisation, in Portugal or abroad, of one or two big conferences with major international impact. Besides conferences, workshops and conference cycles, CIDEHUS will give continuity to permanent seminars and will support international missions of its researchers.
4. TRANSFER:
Highlights: the extension of the Social Innovation Experiences of the UNESCO Chair; support to the two existing laboratories (Demography and Tourism), and the maximization of CIDEHUSDigital as means of sharing knowledge in several areas.
5. NETWORKS AND INTER-INSTITUTIONAL COOPERATION:
Faithful to the Center’s mission, inter-institutional cooperation will be a must. CIDEHUS will create a network of former CIDEHUS members who are currently conducting research in other countries.
6. EDITIONS:
The Center will launch an annual call for papers open to non-CIDEHUS members. It will also prepare the entrance of Hamsa in the OpenEdition (2018-2019) and its indexation in reference bibliographical bases. Furthermore, a collection of pedagogic material online will be created.
7. OUTREACH ACTIVITIES & COMMUNICATION:
Organization of free courses, production of video documentaries and MOOCs; rehearsal of collaborative experiences (recalling memories) with populations of several locations and the consolidation of CIDEHUS’ mark in Science communication.
8. DIGITAL CURATORSHIP:
CIDEHUS will continue to permanently update its digital repositories, assuring data quality to foment its reuse and taking care of the long-term preservation.
10.3 Summary in English for evaluation
Articulating 8 facets, this plan of activities aims at fulfilling CIDEHUS’s goals, and promoting its development in international context, without forgetting the region and the country where it is located.
1.RESEARCH:
- To advance quality research about the program’s main topic, through anchor projects in each Group: G1 - production of 4 e-books about societal changes in the South (10th-20th centuries); G2 - digital products and content publication for different audiences, including 2 e-books specialised in historical-heritage landscapes of the South.
- To apply for new projects (European, national, regional) and to develop the approved or ongoing research projects: Resistance; Creatour; DB Heritage,etc. To stimulate young PhDs to apply for projects and integrate other projects’ teams.
- To develop inside training -(IN)Formation Days -, keeping the team updated; to stimulate creativity and interdisciplinary dialogue to foster innovation.
2.ADVANCED STUDIES:
- To reinforce the connection between research/advanced studies and 1st cycle degrees, through internships of undergraduate students in projects and at CIDEHUS; to organize shared methodologies’ workshops, for all cycles; in Masters/PhD courses, organization of modules by post-docs, in their work fields; to support national and international meetings for young researchers.
- To open annually a call for international scholarships (missions/internships of short duration) for Masters and PhD students, belonging to CIDEHUS.
- To favour the doctoral students and the needs of the strategic program in the acquisition of bibliography.
- To organize seminars for thesis projects’ discussion and work’s progression monitoring.
- To open calls for PhD scholarships, privileging projects that develop and deepen the program of the Center.
- To organize summer/winter schools, in partnership with other institutions.
3.DISSEMINATING RESEARCH RESULTS:
- To support and/or organize 1 or 2 major international conferences per year, in Portugal or abroad, associating the Center to outstanding events (e.g. Patrimonial Libraries and Digital Humanities, Gulbenkian-Paris/Université Paris III/CIDEHUS, 2018 or 2019; Societal Changes and the History of the Southern Europe I - 2019 and II - 2021).
- To maintain and develop permanent seminars. To organize colloquiums/seminars to discuss intermediate or final results of projects or major international events, focusing on areas of the Center’s strategic program.
- To organize conferences and conference cycles, preferably in partnership.
- To support CIDEHUS members’ missions abroad, to disseminate results.
4.KNOWLEDGE TRANSFER:
- To support the Demography and Tourism’s laboratories, and other instruments focused on knowledge transfer.
- To support and widen the Social Innovation Experiences of the UNESCO Chair.
- To establish partnerships with, at least, one Fablab, seeking patentable experiences, essential to apply for regional projects.
5.NETWORKS & INTERINSTITUTIONAL COOPERATION:
- To participate in regional and international networks(e.g. school libraries, archives, museum organizations, etc);
- To organize networks’ meetings (e.g. REPORT(H)A Meeting, 2019);
- To cooperate with the most diverse institutions (national and international, involved or not in this application), including UÉ’s platforms (Heritage & Mediterranean Studies), in order to: develop the Unit’s strategic project; to cooperate with the ENEI (National Strategy for Smart Specialization) and the EREIs (Regional Strategy for Smart Specialization); to apply for projects; to share equipment; to organize scientific events and outreach activities or for the diffusion of scientific culture.
- To create the CIDEHUSDiáspora network of former CIDEHUS integrated members, currently conducting research in other countries.
- To develop cross-border cooperation.
- To reinforce cooperation with MED - Mediterranean Institute for Agriculture Environment and Development, and other centers, in the scope of Environmental History/Agrarian History. To develop contacts with MED and CIMAC(Central Alentejo inter-municipality Commission) in the SIG’s framework (Historical Atlas).
6.EDITIONS:
- To support publishing of CIDEHUS research, mostly as e-books and with peer review. To stimulate the preparation of books in English. To support the edition and translation/linguistic revision of articles and other texts.
- To launch an annual call, in each collection of CIDEHUS, for external authors’ works related to themes of the strategic program.
- To prepare the entrance of Hamsa in the OpenEdition (2018-2019) and its indexation in reference databases. To maintain the CIDEHUS participation in other journals and improve Population News.
- To create a collection of online pedagogic material: Paedagogus.
- To create a collection of e-Working Papers, aimed at publishing quality Master’s theses.
- To maintain the Newsletter and the CIDEHUS Agenda; to update and publish a general chronogram of activities twice a year.
7.OUTREACH ACTIVITIES & COMMUNICATION
- To organize free courses of regional, national and international scope (e.g.Paleography, Islam and the Islamic world, Immaterial Heritage, etc).
- To develop video documentaries (e.g.: Time Memory).
- To produce 2 MOOCs.
- To organize exhibitions, some of them itinerant, and to develop other creative outreach activities.
- To recover memories of several territories, involving the local population.
- To improve the website’s English version (2018) and keep it updated.
- To widen CIDEHUS’ social media.
- To spread CIDEHUS brand in Science communication.
8.DIGITAL CURATORSHIP:
- To maintain CIDEHUS’data bases updated.
- To develop the data repository and stimulate the deposit of new digital materials with quality metadata.
- To insert CIDEHUS digital objects in RNOD and in the Europeana.
- To encourage the inclusion of texts in UÉ’s Digital Repository, and to tune the team with Open Science and long-term preservation. O CIDEHUS estuda, na longa duração, as mudanças societais no Sul (de Portugal, Europa, Mediterrâneo e outras regiões historicamente ligadas à Península Ibérica) e as diversas marcas deixadas por essas alterações.
O Centro assume a muldisciplinaridade da equipa como uma mais-valia, bem como os seguintes eixos de observação: análise de processos, território(s), inclusão/exclusão. Visando cumprir a missão e os objetivos do CIDEHUS, as 8 vertentes enunciadas no plano de atividades serão promovidas preferencialmente no âmbito internacional, sem esquecer, porém, o país e a região onde se insere o Centro.
1.INVESTIGAÇÃO:
A atividade nuclear consiste em realizar investigação de qualidade sobre o tópico central do programa estratégico. Os grupos de investigação levam a cabo os respetivos projetos âncora, centrados nas mudanças societais no Sul(G1) e nas marcas histórico-patrimoniais daí resultantes(G2). Além de desenvolver os atuais, o Centro candidatará novos projetos a agências de financiamento competitivo (europeias, nacionais, regionais).
2.FORMAÇÃO AVANÇADA:
O Centro apostará em: 1) fortalecer as conexões entre os vários ciclos de formação e a investigação; 2) realizar cursos interinstitucionais, interdisciplinares e internacionais; 3) criar oportunidades para mestrandos e doutorandos (bolsas para missões no estrangeiro; prioridade na aquisição de recursos bibliográficos; informação constante sobre oportunidades de formação/emprego).
3.DISSEMINAÇÃO DE RESULTADOS:
Organizará, anualmente, em Portugal ou no estrangeiro, 1 a 2 congressos com grande impacto internacional. Além de organizar colóquios e ciclos de conferências, o Centro dará continuidade aos seminários permanentes e apoiará missões internacionais dos seus investigadores.
4.TRANSFERÊNCIA:
Refira-se o alargamento das “experiências de inovação social” da Cátedra UNESCO, o apoio aos 2 laboratórios existentes (Demografia e Turismo) e a potenciação do CIDEHUSDigital para transferir de conhecimento em várias áreas.
5.REDES E COOPERAÇÃO INTERINSTITUCIONAL:
Inerente à missão do Centro, a cooperação interinstitucional será a tónica. Destaca-se a criação de uma rede de ex-membros integrados do Centro, atualmente a investigar noutros países.
6.EDIÇÕES:
O Centro abrirá um aviso anual para publicar títulos de autores externos. Também preparará a entrada da Hamsa na OpenEdition(2018-2019) e a indexação desta revista em bases bibliográficas de referência. Criará uma coleção de materiais pedagógicos on-line.
7.EXTENSÃO À COMUNIDADE E COMUNICAÇÃO:
Refira-se, por ex.: organização de cursos livres, realização de documentários em vídeo, produção de MOOCs, ensaio de experiências colaborativas (recolha de memórias junto da população de várias localidades) e afirmação da marca CIDEHUS na comunicação de Ciência.
8.CURADORIA DIGITAL:
Salientam-se: atualização permanente dos repositórios; observância da qualidade dos dados para permitir a reutilização destes; medidas para garantir a preservação na longa duração.",,Discovery system,,,"Discovery system, , "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Iscte - Instituto Universitário de Lisboa,,Portugal,OpenEdition,,2020-01-01,2023-12-31,,,2020,388000,EUR,"434,288.40",openaire,,fct_________::31b62a09e22f0a168d04e70388721693,Centre for Research and Studies in Sociology,"10.2 Summary in English for general dissemination purposes
CIES-IUL is a R&D Unit of ISCTE-IUL dedicated to studying contemporary social problems from a multidisciplinary perspective. The centre was founded in 1985 with sociology as its main scientific area but that now spans the fields of political science, communication sciences, modern and contemporary history, public policy, education, and social work. CIES engages in a broad range of activities that have fostered the centre's international recognition as well as high levels of social and scientific impact. Its activity is characterized by a strong articulation between fundamental research, policy oriented research and advanced training. The centre is responsible for the management and scientific coordination of 4 doctoral programmes and is associated to 5 others.
CIES has a scientific structure based on six Research Groups (RG): Inequalities, Migrations and Territories; Knowledge Society, Competences and Communication; Family, Generations and Health; Politics and Citizenship; Work, Innovation and Social Structures of the Economy; Modern and Contemporary History. RG Coordinators are fundamental in the planning and implementation of the centre's research activities.
Currently, the research team is composed of 118 integrated PhD researchers. Between 2013 and 2017, there were a total of 189 funded research projects. The number of internationally funded research projects has increased, partly due to the participation in EU Programs. Throughout this period, the scientific production of CIES became increasingly internationalised, with over a thousand publications in peer reviewed journals, books and book chapters.
Over the next five years, CIES will pursue a strategic program focused on analysing the ongoing transformations of contemporary societies and the challenges they pose. The strategic program's development is anchored in a set of permanent research structures that are already one of the centre's key features. The Observatory of Social Inequalities and the Observatory of Emigration are examples of such dynamics. Moreover, new structures are about to get underway: the Observatory for Democracy and Political Representation; the Laboratory for Social Studies on Birth; and the Laboratory of Innovative Methodologies. CIES will expand and deepen participation in european research infrastructures, such as ESS-ERIC - the European Social Survey, will support ongoing applications to new infrastructures, and back the existing participation in multiple networks.
CIES has extensive experience with knowledge transfer processes. In the editorial field, the centre publishes the scientific indexed journal Sociologia, Problemas e Práticas (SPP), sponsors the indexed journals Portuguese Journal of Social Science and Observatório (OBS), and runs its own scientific publisher, Mundos Sociais, which issues the SPP journal and refereed academic social science book collections.
10.3 Summary in English for evaluation
CIES-IUL is a R&D Unit of ISCTE-IUL dedicated to studying contemporary social problems from a multidisciplinary perspective. The centre was founded in 1985 with sociology as its main scientific area but that now spans the fields of political science, communications sciences, modern and contemporary history, public policy, education, and social work.
CIES is headed by an Executive Board composed of a Director assisted by two Deputy Directors. CIES management is based on effective coordination with a set of advisory bodies comprising the Scientific Committee, the Scientific Council and the External Advisory Board. The majority of the PhD integrated researchers of CIES are full-time professors at ISCTE-IUL or full-time researchers at the centre. 19 of the PhD integrated researchers are from other national higher education institutions.
Between 2013-17 there were a total of 189 funded research projects. The scientific production became increasingly internationalised, with over a thousand international publications. The number of internationally funded research projects has increased, due to the participation in EU Programs. The initiative displayed by the research team in presenting proposals, wining funding and implementing new projects is one of the guarantees that CIES strategic program will thrive in the future.
CIES has a scientific structure based on six Research Groups (RG): Inequalities, Migrations and Territories; Knowledge Society, Competences and Communication; Family, Generations and Health; Politics and Citizenship; Work, Innovation and Social Structures of the Economy; Modern and Contemporary History. RG Coordinators are fundamental in the planning and implementation of the centre's research activities. The research developments foreseen for the following years justify an updating of the structure of the RG. The aim will be to ensure a transition that will not jeopardise the stability of the teams and will not weaken the ongoing research activities, but that will reflect the research dynamics currently underway and boost the development of emerging areas.
Advanced training is also a pillar of the centre's organisational structure. CIES is responsible for the management and scientific coordination of 4 doctoral programmes (Sociology, Public Policy, Communication Sciences, Social Work), and is associated to 5 others. These programs will be joined by new PhD Programs in Education and School Administration, and in Political Economy. CIES will continue to provide advanced training combined with research activities.
Over the next five years, CIES will pursue a strategic program focused on analysing the ongoing transformations of contemporary societies and the challenges they pose. The program will entail articulating each RG's activities with a transversal research agenda. The idea is to cross-reference cutting-edge topics with issues that are already consolidated in our research, with a twofold focus. On the one hand, CIES proposes to look at the social consequences of the current transformations in the so-called knowledge society, especially the dynamics of inequalities, work and social inclusion. On the other hand, analysing the transformations in public policies and governance will enhance what already is one distinctive contribution of CIES within the national scientific system.
The strategic program's development is anchored in a set of permanent research structures that are already one of the centre's key features. CIES proposes to further strengthen the activities of the Inequality Observatory and Emigration Observatory and increase their national and international projection. Moreover, new research structures are about to get underway: the Observatory for Democracy and Political Representation; and the Laboratory for Social Studies on Birth. Research activities in coming years will also benefit from an ambitious and methodologically innovative transversal program: the Laboratory of Innovative Methodologies.
CIES will expand and deepen participation in ESS-ERIC - the European Social Survey - through involvement in the national consortium responsible for producing data and conducting studies focused on the issues covered by the centre's strategic project. We will continue to be committed to developing the infrastructure of the Production and Archive of Social Science Data (PASSDA). Regarding new ERIC research infrastructure applications, we will support the ongoing application in the Political Science field (MEDem-Monitoring Electoral Democracy). The Centre's active existing participation in multiple networks will also be maintained.
CIES has extensive experience with knowledge transfer processes thanks to systematic participation in both providing the grounds for and evaluating public policies and collaborating with private and civil society. This dimension of our activities will now be strengthened by participating in the Collaborative Laboratories program promoted by FCT. The centre participates in the Collaborative Laboratory for Work, Employment and Social Protection (CoLABOR) proposal, where cooperation with civil society will be expanded.
Since 1986 CIES has published the scientific journal Sociologia, Problemas e Práticas (SPP), indexed by several international databases. The centre also sponsors the indexed journals Portuguese Journal of Social Sciences and OBS. Since 2010, CIES has been running its own scientific publisher: Mundos Sociais (MS). CIES's open science policy will help expand our links with society. A central axis in this respect will continue to be online and open-access publication of the SPP and OBS journals and active collaboration with the ISCTE/RCAAP Repository, thus ensuring the open-regime deposit of our researchers' publications and research reports. Under the aegis of the MS publisher, we also plan to release a series of open-access e-books as part of the LusOpenEdition initiative. CIES-IUL é uma unidade de I&D do ISCTE-IUL que estuda os problemas sociais contemporâneos numa perspetiva multidisciplinar. O centro foi fundado em 1985 tendo a sociologia como principal área científica, e desenvolve também atividade relevante nos domínios da ciência política, das ciências da comunicação, da história moderna e contemporânea, das políticas públicas, da educação e do serviço social. O CIES desenvolve um conjunto alargado de atividades com impacto científico e social que contribuem para o seu reconhecimento internacional. A atividade do centro caracteriza-se por uma forte articulação entre investigação fundamental, investigação orientada para as políticas públicas e formação avançada. É responsável pela gestão e coordenação científica de 4 programas de doutoramento e está associado a 5 outros.
A estrutura científica do CIES baseia-se em 6 Grupos de Investigação: Desigualdades, Migrações e Territórios; Sociedade do Conhecimento, Competências e Comunicação; Família, Gerações e Saúde; Política e Cidadania; Trabalho, Inovação e Estruturas Sociais da Economia; História Moderna e Contemporânea. Os coordenadores destes grupos são fundamentais no planeamento e implementação das atividades de pesquisa do centro.
Atualmente a equipa de investigação é composta por 118 investigadores integrados doutorados, que entre 2013-17 desenvolveram 189 projetos de investigação com financiamento. O número de projetos financiados internacionalmente aumentou, em parte devido à participação bem sucedida nos programas da UE. Durante este período, a produção científica do CIES tornou-se cada vez mais internacionalizada, com mais de mil publicações em revistas com avaliação por pares, livros e capítulos de livros.
Nos próximos cinco anos, o CIES desenvolverá um programa estratégico focado na análise das transformações em curso nas sociedades contemporâneas e nos desafios que elas colocam. O desenvolvimento do programa estratégico está ancorado num conjunto de estruturas de pesquisa permanentes que são uma das características distintivas do centro. O Observatório das Desigualdades Sociais e o Observatório da Emigração são exemplos dessa dinâmica. Neste âmbito, novas estruturas irão iniciar a sua atividade: o Observatório para a Democracia e a Representação Política; o Laboratório de Estudos Sociais sobre o Nascimento; e o Laboratório de Inovação Metodológica. O CIES ampliará e aprofundará a sua participação em infra-estruturas de pesquisa europeias, como o ESS-ERIC - European Social Survey, apoiará as propostas em curso para novas infraestruturas e manterá a participação existente em múltiplas redes.
O CIES possui uma vasta experiência em processos de transferência de conhecimento. No campo editorial publica a revista indexada Sociologia, Problemas e Práticas (SPP); apoia as revistas indexadas Portuguese Journal of Social Science e Observatório (OBS); e fundou a editora científica Mundos Sociais, que publica a revista SPP e livros de ciências sociais.",,Discovery system,,,"Discovery system, , "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Iscte - Instituto Universitário de Lisboa,,Portugal,OpenEdition,,2020-01-01,2023-12-31,,,2020,1710000,EUR,"1,914,003.00",openaire,,fct_________::cd69c649ff896b1cd32234a580779ed3,Centre for Research and Studies in Sociology,"10.2 Summary in English for general dissemination purposes
CIES-IUL is a R&D Unit of ISCTE-IUL dedicated to studying contemporary social problems from a multidisciplinary perspective. The centre was founded in 1985 with sociology as its main scientific area but that now spans the fields of political science, communication sciences, modern and contemporary history, public policy, education, and social work. CIES engages in a broad range of activities that have fostered the centre's international recognition as well as high levels of social and scientific impact. Its activity is characterized by a strong articulation between fundamental research, policy oriented research and advanced training. The centre is responsible for the management and scientific coordination of 4 doctoral programmes and is associated to 5 others.
CIES has a scientific structure based on six Research Groups (RG): Inequalities, Migrations and Territories; Knowledge Society, Competences and Communication; Family, Generations and Health; Politics and Citizenship; Work, Innovation and Social Structures of the Economy; Modern and Contemporary History. RG Coordinators are fundamental in the planning and implementation of the centre's research activities.
Currently, the research team is composed of 118 integrated PhD researchers. Between 2013 and 2017, there were a total of 189 funded research projects. The number of internationally funded research projects has increased, partly due to the participation in EU Programs. Throughout this period, the scientific production of CIES became increasingly internationalised, with over a thousand publications in peer reviewed journals, books and book chapters.
Over the next five years, CIES will pursue a strategic program focused on analysing the ongoing transformations of contemporary societies and the challenges they pose. The strategic program's development is anchored in a set of permanent research structures that are already one of the centre's key features. The Observatory of Social Inequalities and the Observatory of Emigration are examples of such dynamics. Moreover, new structures are about to get underway: the Observatory for Democracy and Political Representation; the Laboratory for Social Studies on Birth; and the Laboratory of Innovative Methodologies. CIES will expand and deepen participation in european research infrastructures, such as ESS-ERIC - the European Social Survey, will support ongoing applications to new infrastructures, and back the existing participation in multiple networks.
CIES has extensive experience with knowledge transfer processes. In the editorial field, the centre publishes the scientific indexed journal Sociologia, Problemas e Práticas (SPP), sponsors the indexed journals Portuguese Journal of Social Science and Observatório (OBS), and runs its own scientific publisher, Mundos Sociais, which issues the SPP journal and refereed academic social science book collections.
10.3 Summary in English for evaluation
CIES-IUL is a R&D Unit of ISCTE-IUL dedicated to studying contemporary social problems from a multidisciplinary perspective. The centre was founded in 1985 with sociology as its main scientific area but that now spans the fields of political science, communications sciences, modern and contemporary history, public policy, education, and social work.
CIES is headed by an Executive Board composed of a Director assisted by two Deputy Directors. CIES management is based on effective coordination with a set of advisory bodies comprising the Scientific Committee, the Scientific Council and the External Advisory Board. The majority of the PhD integrated researchers of CIES are full-time professors at ISCTE-IUL or full-time researchers at the centre. 19 of the PhD integrated researchers are from other national higher education institutions.
Between 2013-17 there were a total of 189 funded research projects. The scientific production became increasingly internationalised, with over a thousand international publications. The number of internationally funded research projects has increased, due to the participation in EU Programs. The initiative displayed by the research team in presenting proposals, wining funding and implementing new projects is one of the guarantees that CIES strategic program will thrive in the future.
CIES has a scientific structure based on six Research Groups (RG): Inequalities, Migrations and Territories; Knowledge Society, Competences and Communication; Family, Generations and Health; Politics and Citizenship; Work, Innovation and Social Structures of the Economy; Modern and Contemporary History. RG Coordinators are fundamental in the planning and implementation of the centre's research activities. The research developments foreseen for the following years justify an updating of the structure of the RG. The aim will be to ensure a transition that will not jeopardise the stability of the teams and will not weaken the ongoing research activities, but that will reflect the research dynamics currently underway and boost the development of emerging areas.
Advanced training is also a pillar of the centre's organisational structure. CIES is responsible for the management and scientific coordination of 4 doctoral programmes (Sociology, Public Policy, Communication Sciences, Social Work), and is associated to 5 others. These programs will be joined by new PhD Programs in Education and School Administration, and in Political Economy. CIES will continue to provide advanced training combined with research activities.
Over the next five years, CIES will pursue a strategic program focused on analysing the ongoing transformations of contemporary societies and the challenges they pose. The program will entail articulating each RG's activities with a transversal research agenda. The idea is to cross-reference cutting-edge topics with issues that are already consolidated in our research, with a twofold focus. On the one hand, CIES proposes to look at the social consequences of the current transformations in the so-called knowledge society, especially the dynamics of inequalities, work and social inclusion. On the other hand, analysing the transformations in public policies and governance will enhance what already is one distinctive contribution of CIES within the national scientific system.
The strategic program's development is anchored in a set of permanent research structures that are already one of the centre's key features. CIES proposes to further strengthen the activities of the Inequality Observatory and Emigration Observatory and increase their national and international projection. Moreover, new research structures are about to get underway: the Observatory for Democracy and Political Representation; and the Laboratory for Social Studies on Birth. Research activities in coming years will also benefit from an ambitious and methodologically innovative transversal program: the Laboratory of Innovative Methodologies.
CIES will expand and deepen participation in ESS-ERIC - the European Social Survey - through involvement in the national consortium responsible for producing data and conducting studies focused on the issues covered by the centre's strategic project. We will continue to be committed to developing the infrastructure of the Production and Archive of Social Science Data (PASSDA). Regarding new ERIC research infrastructure applications, we will support the ongoing application in the Political Science field (MEDem-Monitoring Electoral Democracy). The Centre's active existing participation in multiple networks will also be maintained.
CIES has extensive experience with knowledge transfer processes thanks to systematic participation in both providing the grounds for and evaluating public policies and collaborating with private and civil society. This dimension of our activities will now be strengthened by participating in the Collaborative Laboratories program promoted by FCT. The centre participates in the Collaborative Laboratory for Work, Employment and Social Protection (CoLABOR) proposal, where cooperation with civil society will be expanded.
Since 1986 CIES has published the scientific journal Sociologia, Problemas e Práticas (SPP), indexed by several international databases. The centre also sponsors the indexed journals Portuguese Journal of Social Sciences and OBS. Since 2010, CIES has been running its own scientific publisher: Mundos Sociais (MS). CIES's open science policy will help expand our links with society. A central axis in this respect will continue to be online and open-access publication of the SPP and OBS journals and active collaboration with the ISCTE/RCAAP Repository, thus ensuring the open-regime deposit of our researchers' publications and research reports. Under the aegis of the MS publisher, we also plan to release a series of open-access e-books as part of the LusOpenEdition initiative. CIES-IUL é uma unidade de I&D do ISCTE-IUL que estuda os problemas sociais contemporâneos numa perspetiva multidisciplinar. O centro foi fundado em 1985 tendo a sociologia como principal área científica, e desenvolve também atividade relevante nos domínios da ciência política, das ciências da comunicação, da história moderna e contemporânea, das políticas públicas, da educação e do serviço social. O CIES desenvolve um conjunto alargado de atividades com impacto científico e social que contribuem para o seu reconhecimento internacional. A atividade do centro caracteriza-se por uma forte articulação entre investigação fundamental, investigação orientada para as políticas públicas e formação avançada. É responsável pela gestão e coordenação científica de 4 programas de doutoramento e está associado a 5 outros.
A estrutura científica do CIES baseia-se em 6 Grupos de Investigação: Desigualdades, Migrações e Territórios; Sociedade do Conhecimento, Competências e Comunicação; Família, Gerações e Saúde; Política e Cidadania; Trabalho, Inovação e Estruturas Sociais da Economia; História Moderna e Contemporânea. Os coordenadores destes grupos são fundamentais no planeamento e implementação das atividades de pesquisa do centro.
Atualmente a equipa de investigação é composta por 118 investigadores integrados doutorados, que entre 2013-17 desenvolveram 189 projetos de investigação com financiamento. O número de projetos financiados internacionalmente aumentou, em parte devido à participação bem sucedida nos programas da UE. Durante este período, a produção científica do CIES tornou-se cada vez mais internacionalizada, com mais de mil publicações em revistas com avaliação por pares, livros e capítulos de livros.
Nos próximos cinco anos, o CIES desenvolverá um programa estratégico focado na análise das transformações em curso nas sociedades contemporâneas e nos desafios que elas colocam. O desenvolvimento do programa estratégico está ancorado num conjunto de estruturas de pesquisa permanentes que são uma das características distintivas do centro. O Observatório das Desigualdades Sociais e o Observatório da Emigração são exemplos dessa dinâmica. Neste âmbito, novas estruturas irão iniciar a sua atividade: o Observatório para a Democracia e a Representação Política; o Laboratório de Estudos Sociais sobre o Nascimento; e o Laboratório de Inovação Metodológica. O CIES ampliará e aprofundará a sua participação em infra-estruturas de pesquisa europeias, como o ESS-ERIC - European Social Survey, apoiará as propostas em curso para novas infraestruturas e manterá a participação existente em múltiplas redes.
O CIES possui uma vasta experiência em processos de transferência de conhecimento. No campo editorial publica a revista indexada Sociologia, Problemas e Práticas (SPP); apoia as revistas indexadas Portuguese Journal of Social Science e Observatório (OBS); e fundou a editora científica Mundos Sociais, que publica a revista SPP e livros de ciências sociais.",,Discovery system,,,"Discovery system, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2021-04-01,2026-03-31,2021,1825 days,2021,1418660,GBP,"1,955,934.08",wellcome.org_360giving-export,,360g::360G-Wellcome-221523_Z_20_Z,Europe PMC 2021-2026,"In the next five years, the necessity for open science to solve global challenges will become increasingly apparent, and the need for Europe PMC as a critical piece of infrastructure will crystallise in the minds and usage patterns of researchers. The world of scientific publishing will undergo major changes, as routes for rapid and transparent publishing emerge, and efforts such as Plan S push towards universal open access. Europe PMC will support these goals by aggregating millions of articles and making them widely available. With a leading role in preprint aggregation and standards development, Europe PMC will be the go-to resource for searching life sciences literature from publication through review, revision, and citation. Publications at all stages need to be grounded in unambiguous links to supporting data, authors and reviewers, funding, and institutions, to build transparency and trust in the content; building these links will be a major direction for Europe PMC. Finally, transformative change in content search and retrieval will come from the development of AI methods that work on open access full text, encouraged by the Europe PMC platform for text and data mining, as well as the demonstration of machine learning benefits in user interfaces.
",Discretionary Award – C&S,Discovery system,,,"Discovery system, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2020-08-18,2024-01-17,2020,1247 days,2020,324364,GBP,"427,317.04",wellcome.org_360giving-export,,360g::360G-Wellcome-221558_Z_20_Z,Full text COVID-19 preprints in Europe PMC,"In this pandemic, researchers have responded by publishing results rapidly, often through preprints. In fact, about half of the publications in Europe PMC on COVID-19 are preprints rather than peer-reviewed journal articles. Currently, the full text of these preprints are scattered as PDFs on preprint servers, or, available as a non-standard set of documents for machine learning purposes. This proposal is about making the full text of COVID-19 preprints available on Europe PMC, a large and sustainable life sciences archive, for reading and reuse via a standard XML format, alongside peer-reviewed full text articles. Being able to easily search and read preprint full text on a site already frequented by millions of users a month, means that they will be significantly more discoverable by people, and will be able to make use of existing infrastructure to integrate into the typical ecosystem of publications - for example, linking to related data - as well as being more open to scrutiny. This will accelerate scientific research on COVID-19, provide an opportunity to build new open and rapid publication systems, and form a corpus for future history of science research.
",Discretionary Award - Open research,Discovery system,,,"Discovery system, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2013-10-01,2013-10-31,2013,30 days,2013,16919,GBP,"27,479.94",wellcome.org_360giving-export,,360g::360G-Wellcome-098231_Z_12_A,Funding to integrate the ORCID system with Europe PMC.,Not available,Strategic Support: C&S,Discovery system,,,"Discovery system, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2014-08-01,2016-04-30,2014,638 days,2014,52120,GBP,"87,695.94",wellcome.org_360giving-export,,360g::360G-Wellcome-098231_Z_12_C,Europe PMC - further development work (August 2014 to April 2016).,Not available,Strategic Support: C&S,Discovery system,,,"Discovery system, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2014-03-19,2015-09-18,2014,548 days,2014,88000,GBP,"146,312.62",wellcome.org_360giving-export,,360g::360G-Wellcome-098231_Z_12_B,Development work to the Europe PMC repository to incorporate Trust-funded book chapters and monographs into the public services.,Not available,Strategic Support: C&S,Discovery system,,,"Discovery system, , "
oic_scrape,OPS,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2016-04-01,2021-03-31,2015,1825 days,2016,1583207,GBP,"2,265,517.89",wellcome.org_360giving-export,,360g::360G-Wellcome-108758_Z_15_Z,The continued support of the Europe PMC infrastructure.,Not available,Strategic Support: C&S,Discovery system,,,"Discovery system, , "
oic_scrape,OPS,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2018-04-09,2021-03-31,2018,1087 days,2018,,,,wellcome.org_360giving-export,,360g::360G-Wellcome-108758_Z_15_B,The continued support of the Europe PMC infrastructure.,Not available,Strategic Support: C&S,Discovery system,,,"Discovery system, , "
oic_scrape,OPS,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,European Bioinformatics Institute,,United Kingdom,Europe PMC,Dr Johanna McEntyre,2018-06-04,2021-03-31,2018,1031 days,2018,,,,wellcome.org_360giving-export,,360g::360G-Wellcome-108758_Z_15_C,The continued support of the Europe PMC infrastructure.,Not available,Strategic Support: C&S,Discovery system,,,"Discovery system, , "
openaire,RD,Direct,The Wellcome Trust,https://ror.org/029chgv08,Private,European Bioinformatics Institute / EMBL-EBI,,United Kingdom,Europe PMC,,2021-04-01,2026-03-31,,,2021,6515000,GBP,"8,982,356.95",openaire,,wt__________::ce1713690627261f603d79f956b6b29c,Europe PMC 2021-2026,"In the next five years, the necessity for open science to solve global challenges will become increasingly apparent, and the need for Europe PMC as a critical piece of infrastructure will crystallise in the minds and usage patterns of researchers. The world of scientific publishing will undergo major changes, as routes for rapid and transparent publishing emerge, and efforts such as Plan S push towards universal open access. Europe PMC will support these goals by aggregating millions of articles and making them widely available. With a leading role in preprint aggregation and standards development, Europe PMC will be the go-to resource for searching life sciences literature from publication through review, revision, and citation. Publications at all stages need to be grounded in unambiguous links to supporting data, authors and reviewers, funding, and institutions, to build transparency and trust in the content; building these links will be a major direction for Europe PMC. Finally, transformative change in content search and retrieval will come from the development of AI methods that work on open access full text, encouraged by the Europe PMC platform for text and data mining, as well as the demonstration of machine learning benefits in user interfaces.",,Discovery system,,,"Discovery system, , "
openaire,RD,Direct,The Wellcome Trust,https://ror.org/029chgv08,Private,European Bioinformatics Institute / EMBL-EBI,,United Kingdom,Europe PMC,,2020-08-18,2022-07-17,,,2020,404364,GBP,"532,709.02",openaire,,wt__________::9b0337ccf95845344c90d98d9dcaa80a,Full text COVID-19 preprints in Europe PMC,"In this pandemic, researchers have responded by publishing results rapidly, often through preprints. In fact, about half of the publications in Europe PMC on COVID-19 are preprints rather than peer-reviewed journal articles. Currently, the full text of these preprints are scattered as PDFs on preprint servers, or, available as a non-standard set of documents for machine learning purposes. This proposal is about making the full text of COVID-19 preprints available on Europe PMC, a large and sustainable life sciences archive, for reading and reuse via a standard XML format, alongside peer-reviewed full text articles. Being able to easily search and read preprint full text on a site already frequented by millions of users a month, means that they will be significantly more discoverable by people, and will be able to make use of existing infrastructure to integrate into the typical ecosystem of publications - for example, linking to related data - as well as being more open to scrutiny. This will accelerate scientific research on COVID-19, provide an opportunity to build new open and rapid publication systems, and form a corpus for future history of science research.",,Discovery system,,,"Discovery system, , "
openaire,OPS,Direct,The Wellcome Trust,https://ror.org/029chgv08,Private,European Bioinformatics Institute / EMBL-EBI,,United Kingdom,Europe PMC,,2016-04-01,2021-03-31,,,2016,6615780,GBP,"9,466,966.70",openaire,,wt__________::d0b2508c2d88c2db45f7c3b8b0fb73bf,The continued support of the Europe PMC infrastructure.,,,Discovery system,,,"Discovery system, , "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,,,United Kingdom,Europe PMC,,2019-04-01,2022-07-31,,,2019,606286,GBP,"795,282.34",openaire,,ukri________::b0fc4c25b49480a5cbf30ff81527231d,EMERALD - Enriching MEtagenomics Results using Artificial intelligence and Literature Data,"Microbes like bacteria and fungi inhabit diverse environments, including soil, water, and human body sites, such as the mouth, skin and intestine. Ubiquitous in nature, they also show adaptation to extreme environments, such as acid mine drainage or hydrothermal vents. We have appreciated the potential of microbes for a long time - they are important for food and beverage manufacturing (e.g. cheese and beer), and are key players in bioremediation, as demonstrated by their pivotal role in breaking down complex oils following the Deep Horizon oil spill in the Gulf of Mexico. The field of metagenomics offers an exciting opportunity to examine these microbial communities and gain insights into various aspects of their existence, i.e. their interaction with humans and plants, their potential as disease reservoirs, and as sources of novel enzymes with bioremediation or plastic recycling abilities.
Metagenomics studies microbial communities by sampling the environments directly, extracting and sequencing their genetic material (DNA), and applying computational methods to elucidate microbial composition and function. This sampling approach helps to characterise unculturable or as yet uncultured microbes in the laboratory. Metagenomics experimental data are typically large (10-100s of GBs per sequencing run; 100s of runs per project), complex (comprising 100-1000s of different microbes) and variable due to the nature of the underlying experiments and (sub-)sampling of the dynamic populations.
Despite knowledge about fluxes within a microbial community (e.g. time of year or day), metagenomic datasets typically contain poor descriptions (termed metadata) relating to the sample origin or methods used to obtain the DNA and process the sequence data. To help interpret data across experiments and derive meaningful biological conclusions, it is crucial to know whether a difference between two metagenomics datasets is due to differences in underlying experimental techniques or the biological qualities of the sample. The lack of metadata has impeded our attempts to apply machine learning (ML) techniques to interpret new incoming data, and therefore our capacity to find novel biological applications.
To circumvent these issues, our proposal aims to employ different ML methodologies to enrich the currently available metadata and start elucidating new knowledge embedded in the sequence data. The text mining approach will focus on identifying research articles on metagenomics experiments to unearth and extract detailed descriptions which will be used to enrich the metadata associated with the corresponding DNA sequences and generate new or improved classification systems. This dictionary of descriptor terms will also serve as the template for developing methods to discover previously unidentified metagenomics papers. We will train algorithms on this enriched metadata to progressively learn what criteria might be applied to incoming data with inadequate descriptions in order to determine sample origin, processing, as well as decipher which experimental biases affect the results, when comparing similar samples.
ML approaches will also be used for the discovery of new biological functions. Bacteria encode gene cassettes that are responsible for producing compounds of pharmaceutical and agricultural value. Functional descriptions for the genes constituting these cassettes are incomplete, while many cassettes still await discovery. By combining the ML and text mining approaches, we intend to better describe these cassettes and also focus on the detection of novel groups.
Data underpinning this work will originate from key EMBL-EBI databases, namely EBI Metagenomics and Europe PMC, as well as other resources (e.g. MIBiG). Developments aimed at herein will help resolve complexities underlying experimental data, enriching the metadata in the process and also laying the foundation for a new generation of reliable predictive models.",,Discovery system,,,"Discovery system, , "
oic_scrape,RD,Direct,Bill & Melinda Gates Foundation,https://ror.org/0456r8d26,Private,OA Switchboard,,Netherlands,OA Switchboard,,,,2022,13.0 months,2022,110091,USD,"110,091.00",gatesfoundation.org,https://www.gatesfoundation.org/about/committed-grants/2022/10/INV-047004,gatesfoundation.org::INV-047004,,to support OA Switchboardâs community-led initiatives for the sharing of information about open access publications,Global Health > Research and Learning Opportunities',Open access or subscription management tool,,,"Open access or subscription management tool, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,Open Access Scholarly Publishers Association (OASPA),,Netherlands,OA Switchboard,Ms Claire Redhead,2020-09-01,2021-09-30,2020,394 days,2020,22524,GBP,"30,345.06",wellcome.org_360giving-export,,360g::360G-Wellcome-221565_Z_20_Z,OA Switchboard 2020,"Throughout 2020, a project is run to prepare for the OA Switchboard (a collaboratively developed and community run open source solution) to go live as an operational solution. The OA Switchboard provides essential infrastructure and back office services to facilitate the fulfilment of open access strategies across business models, policies and agreements via: 1. communication standards (‘metadata’); 2. technical solutions (‘hub’); 3. standardised real-time monitoring and reporting.
The essence of the problems it aims to address as a priority:
It is complicated/cumbersome to find out how to get the service charges for a certain OA publication settled, and to prepare for (enable) such financial settlement
It is a challenge to monitor funds and track spending in real time
In the current situation, enabling open access to scholarship has never been more pressing. Supporting the OA Switchboard is investing in open source infrastructure that will ensure that transformational change to open access can be achieved by all publishers, whilst reducing complexity for funders, institutions and researchers. It will also work alongside and strengthen other initiatives that the Wellcome Trust is supporting in this space, specifically in realising the synergies of interlinking the Journal Checker Tool and the OA Switchboard.
",Discretionary Award - Open research,Open access or subscription management tool,,,"Open access or subscription management tool, , "
oic_scrape,RD,Direct,Arcadia Fund,https://ror.org/051z6e826,Private,Our Research,,United States,OpenAlex,,2024-02-28,,2024,60 months,2024,7500000,USD,"7,500,000.00",arcadia.org.uk__360giving-export,,360g::360G-ArcadiaFund-5147,OpenAlex: a free index for the world's research,"To support the growth, development, and institutional usage of OpenAlex - an open and comprehensive index of scholarly works, authors, and institutions.",Open Access > Discoverability,Open scholarly dataset,,,"Open scholarly dataset, , "
openaire,ADJ,Indirect,European Commission,https://ror.org/00k4n6c32,Public,Alma Mater Studiorum University of Bologna,,Italy,OpenCitations,,2023-01-01,2025-12-31,,,2023,2985440,EUR,"3,189,345.55",openaire,,corda_____he::6f17d6d6d3e7c3ed44ad6f92b76e870d,GraspOS: next Generation Research Assessment to Promote Open Science,"GraspOS aims to build and operate a data infrastructure to support the policy reforms and pave the way towards a responsible research assessment system that embeds OS practices and accelerates its adoption in Europe. GraspOS will focus on extending the EOSC ecosystem with tools and services that will facilitate monitoring the use and uptake of various types of research services and outputs (publications, datasets, software) and will catalyse the implementation of policy-level rewards to foster OS practices. These tools and services will build upon multiple sources of metric data (e.g., OpenCitations, Scholexplorer) including capabilities offered by the EOSC Core, that will be federated in the context of the project, and will take into consideration both contemporary guidelines for Responsible Research Assessment (RRA), like those provided by initiatives like DORA and the Leiden Manifesto, and the suggestions from a diversity of relevant stakeholders. GraspOS will also incorporate piloting activities to co-design, showcase, validate, and evaluate GraspOS’s key results considering domain-specific aspects and different levels of OS-aware RRA, such as the researcher (individual/group), institution, and national level.",,Open scholarly dataset,,,"Open scholarly dataset, , "
openaire,USE,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz22,Public,Humanités Numériques,,France,Crossref,,,,,,,99360,EUR,,openaire,,anr_________::811ee1f76e2c1270ffffa115319276e6,Matilda: a bibliographic & bibliometric tool for open science,"""Our project to develop a bibliographic/metric tool for open science aims at changing the situation of reference/citation data as the poor relation of open science, with two main objectives. First, even if we take part in the emerging movement in favour of """"open citations"""", we do not want simply to unblock existing closed information, but to give a fair place to academic content excluded from the proprietary tools currently used, WoS and Scopus, by adopting a principle of equal treatment of all scientific texts and their metadata. Indeed, the literature has shown that the principle of scarcity was at the heart of bibliometrics and the disciplinary and linguistic biases of basic producers have led to a massive invisibility of part of the scientific literature, with current commercial bases creating a """"bubble filter"""". Secondly, we want to give academics and researchers as much control as possible over how they search for textual information and metadata, because we consider that the closed design of current tools encapsulates an objective view of research processes rather than relying on technologies co-constructed by their users. While extremely little work has been published on the use of bibliometric tools, we assume that users' needs are varied, but that, in addition, the singular nature of scientific texts must be taken into account, by encouraging users to prioritize and recommend articles. To do this, after the development of a proof of concept in progress, with the support of the CNRS by a fixed-term contract, we will build a first functional version of Matilda's IT architecture on the basis of pre-selected corpuses (ArXiv, PubMed, CrossRef, RePEc), enrich and expose all legally shareable data. From this public interface, we will recruit user researchers in order to obtain as much information as possible on the concrete uses of this type of tool and to experiment with new functionalities and services (citation tracking methods, alerts, recommendations, etc.). For these users we will open an account dedicated to their name, and a CNIL procedure, similar to the one developed for the ISIDORE engine, will allow them to obtain their agreement for the collection of information from different tools (usage traces, questionnaires and in-depth interviews). By combining the unique skills of a Huma-Num team in designing research tools with the expertise of a team from the Centre de sociologie de l'innovation in studying science and the role of users in technological devices, Matilda aims to redefine what a bibliographic/metric tool is by taking full advantage of the current and future openness of metadata. This project is therefore at the heart of the ANR's """"Open Data"""" call for tenders, taking into account the public policy provisions on open citations (national open science plan, plan S). By developing a tool for the common, based on the metadata of scientific texts, and in particular their reference/citation data, we want to make these open citations useful to all scientific communities, in particular by making citation tracking fully available as a method of intertextual circulation.""",,Open scholarly dataset,,,"Open scholarly dataset, , "
oic_scrape,RD,Direct,Gordon and Betty Moore Foundation,https://ror.org/006wxqw41,Private,Crossref,,United States,Crossref,,,,2021,12 months,2021,75000,USD,"75,000.00",moore.org,https://www.moore.org/grant-detail?grantId=GBMF10485,moore.org_GBMF10485,Supporting Grant Identifiers and Metadata,In support of improving methods to assign persistent identifiers to grant records and connecting grants with research outputs in publisher metadata.,Science,Open scholarly dataset,,,"Open scholarly dataset, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Arizona,,United States,OpenAlex,Charles Gomez,2024-08-01,2029-07-31,,,2024,445554,USD,"445,554.00",nsf,,2337564,CAREER: How Collaboration and Competition Influence Research in the Emerging Field of Artificial Intelligence,"Artificial Intelligence (AI) is a set of disruptive technologies that automate decision-making, problem-solving, and content generation. AI stands out among scientific fields for its impact on society and is a prescient case to study this tension. Much hope and promise exist for AI to bring about profound societal improvements in education, commerce, and medicine. However, it also poses significant risks to privacy, jurisprudence, security, and even armed conflicts. As the public discourse on large-language models (LLMs) such as ChatGPT has made clear, AI is now on the frontline of both scientific advancement and international politics. This project investigates how international politics shapes the global field of AI academic research. This research compares how nations lead in cutting-edge AI research and invest in AI as the engine for the next industrial revolution to reduce gaps in basic research breakthroughs and high-end product development. This research explores how international politics creates understudied tensions for academic researchers between (1) the global, open, and universalistic aspects of scientific research and (2) the growing competitive distrust and cutting of collaborative ties between nations. <br/><br/>The researcher conducts a three-part, large-scale, multi-method, and interconnected study to demonstrate how international tensions influence AI researchers, their science, and the implications to global scientific research. The first project deploys social network analysis and natural language processing (NLP) techniques to measure international influence by asking whether distinct national signatures of research manifest in academic AI publications of other countries using a database called OpenAlex. The project examines the international landscape of AI research, highlighting variations across regions and institutions. It also analyzes the evolving dynamics of international collaboration in AI research and the contributions of different countries and universities to the field's intellectual production. The second project deploys survey experiments of academic AI researchers to determine how overt or understated this national influence is. The project examines potential bias in evaluating research from different countries, specifically in AI and how affiliation influences the adoption and evaluation of research from other countries. The third project applies NLP techniques to the transcripts of hundreds of in-depth semi-structured interviews with researchers around the world to show how national and international influences manifest in individual researchers’ collaborations, work, and careers. Applying NLP techniques to the interview transcripts can uncover dominant themes and topics at scale, leading to a more nuanced understanding of the issues being examined.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Open scholarly dataset,,,"Open scholarly dataset, , "
oic_scrape,ADJ,Indirect,The Wellcome Trust,https://ror.org/052csg198,Private,University of Bologna,,Italy,OpenCitations,Dr Silvio Peroni,2019-07-01,2021-01-01,2018,550 days,2019,49290,GBP,"62,350.05",wellcome.org_360giving-export,,360g::360G-Wellcome-214471_Z_18_Z,Open Biomedical Citations in Context Corpus,"The Open Biomedical Citations in Context Corpus will offer an open database of citations between biomedical publications in which data are provided at the level of individual in-text references. Conventional citation indexes (Web of Science, Scopus) require subscription and cover only sources that meet criteria determined by the database producer. Moreover, they provide data only on the references in reference lists, not on individual in-text references. Building on the OpenCitations Corpus (http://opencitations.net/corpus), we will create a corpus of biomedical citations that provides data for each individual in-text reference and its semantic context, making it possible to distinguish references that are cited only once from those that are cited multiple times, to see which references are cited together (e.g., in the same sentence), to determine in which section of the article references are cited (e.g., Introduction, Methods), and, potentially, to retrieve the function of the citation – i.e. the reason why an author cites another work. This will free biomedical researchers from the limitations of existing databases and from the traditional restrictive methods of literature searching and evaluation. We will also create APIs and visual interfaces that enable researchers to explore the Open Biomedical Citations in Context Corpus. Third parties will be able to develop additional search and browse interfaces and analytical services based on the Open Biomedical Citations in Context Corpus, assisting researchers in finding relevant information within an ever-expanding literature, and thus enabling them to carry out their work more efficiently and effectively.
",Open Research Fund,Open scholarly dataset,,,"Open scholarly dataset, , "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Code for Science and Society,,United States,PREreview,None,,,2018,,2018,65780,USD,"65,780.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/8729,sloan:grants::8729,,"To support further development of PREreview, a platform to improve the training of scientists in peer review practices
",,Peer review system,,,"Peer review system, , "
oic_scrape,COMM,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,Code for Science and Society,,United States,PREreview,Dr Monica Granados,2019-07-31,2021-04-30,2019,639 days,2019,20000,GBP,"24,341.05",wellcome.org_360giving-export,,360g::360G-Wellcome-214445_Z_18_A,Rapid PREreview: a rapid preprint review platform to support outbreak science,"As part of this Research Enrichment activity, we plan to:
Understand specific workflows/needs of underrepresented groups. The funds will support two UX sprint events to help us understand the needs and workflows of key stakeholders from communities underrepresented in science and scholarly communication and involved in outbreak response.
Design and distribute a survey. Based on what we learned during the sprints, we will design and distribute a survey to understand the needs of underrepresented groups in the outbreak science community world-wide.
Incorporate feedback into Rapid PREreview. The feedback from the sprints and the survey will guide key decisions related to UI/UX design and development of the platform.
Publish/open-source the process by which we designed for the inclusion of underrepresented groups. Because we are committed to open and transparent innovation and we want others to learn from our experience, we will publish our learnings as a series of blog posts, resources, and/or as a preprint, focusing on lessons learned and methodologies used.
Form a project advisory committee with people from underrepresented groups. While we believe this work will help us build a platform that includes the voices and serves the needs of underrepresented groups, we think that is not enough. The sprints will help us develop connections that we intend to nurture and strengthen beyond the timeframe of the grant. We will invite people from underrepresented groups that have expressed an interest in this project to join our leadership.
",Research Enrichment - Diversity and Inclusion,Peer review system,,,"Peer review system, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,Code for Science and Society,,United States,PREreview,Dr Monica Granados,2019-02-18,2020-10-30,2018,620 days,2019,50000,GBP,"64,642.78",wellcome.org_360giving-export,,360g::360G-Wellcome-214445_Z_18_Z,Rapid PREreview: A rapid preprint review platform to support outbreak science,"Early, open sharing of scientific information can be facilitated via preprints, scientific manuscripts that are freely shared online prior to editorial peer review. In the context of infectious disease outbreaks, accelerating the dissemination of scientific evidence is of utmost importance. Decisions must be made quickly and leverage the best available evidence as it evolves. As preprints are increasingly adopted in the life sciences, it is essential that we build new tools – and a community around them – to help scientists rapidly and openly assess their value and validity.
The goal of this proposal is to solicit funding for a collaboration between PREreview and Outbreak Science to build an interoperable, extension to the PREreview open source platform to facilitate rapid assessment of preprints during public health crises or when adapted in other disciplines requiring rapid reviews. The Rapid PREreview tool will allow researchers to quickly provide high-level evaluation of preprints via a series of questions that assess the originality and soundness of the findings. Results will be aggregated and visualized instantaneously to allow users to identify the most relevant information. To maximize engagement from the community, we will organize and facilitate sprint-like events to get specific input from diverse users, build content, and promote the use of the tool.
We believe this tool, paired with collaborative, community sprint-like events, has the capacity to be transformative for on-the-ground workers, researchers, policy makers and the public alike as we help target and unlock key scientific information.
",Open Research Fund,Peer review system,,,"Peer review system, , "
oic_scrape,RD,Direct,The Wellcome Trust,https://ror.org/052csg198,Private,Code for Science and Society,,United States,PREreview,Dr Daniela Saderi,2020-10-01,2021-06-30,2020,272 days,2020,32419,GBP,"41,994.65",wellcome.org_360giving-export,,360g::360G-Wellcome-222057_Z_20_Z,Outbreak Science Rapid PREreview – COVID-19 response,"The coronavirus pandemic has led to an unprecedented uptake of preprints, with researchers from all over the globe collaborating and sharing information at record speeds. The Wellcome Trust-funded open source platform Outbreak Science Rapid PREreview (https://outbreaksci.prereview.org) launched by our team on January 1, 2020, is well-positioned to help provide rapid feedback and a help filter the high number of COVID-19 preprints for quality and potential impact.
In just a few months, the platform has reached about 500 users, 80 rapid reviews, and more than 230 requests for reviews, the majority of which are for COVID-19-related preprints. These numbers grow every day, and so do opportunities for collaborations with third-party sites and efforts that can increase the discoverability of the content and accessibility to the tool.
To leverage our platform and aid in tackling this pandemic, our team asks for financial support for the following activities and positions:
Feature implementation and customization of our open API to make COVID-19-related content more discoverable via integration with third-party sites, such as preprint servers and research platforms;
A full-time project manager to lead and coordinate the work.
",Discretionary Award - Open research,Peer review system,,,"Peer review system, , "
oic_scrape,ADJ,Indirect,The Wellcome Trust,https://ror.org/052csg198,Private,eLife,,United Kingdom,PREreview,Dr Damian Pattinson,2021-09-15,2022-10-03,2021,383 days,2021,20000,GBP,"27,655.25",wellcome.org_360giving-export,,360g::360G-Wellcome-099424_Z_12_B,Shaping the future of science communication,"We will develop sustained capacity for scholarly peer review among early- and mid-career African researchers. To this aim, we propose to develop resources and a dissemination strategy for the delivery of a Best Practices in Scholarly Peer Review workshop, materials that once openly released can be adapted and replicated across research communities in Africa.
The proposed programme will follow three milestones. We will develop materials and teaching resources for a three-part workshop (M1) where African researchers are invited to join a path of guided learning to build their profile as constructive peer reviewers. To ensure scalability and maximize impact, we will implement a ""Train the trainer"" model (M2). We will leverage joint networks of all partners to recruit the first cohort of ten African researchers and invite them to train as trainers, co-create the materials and help adapt the resources to their needs and contexts, and c) deliver the workshop to their research community (M3).
In addition to peer-review training, workshop participants will be invited to join the eLife Early-Career Reviewers Pool, and offered support and onboarding materials to build a public profile as preprint reviewers as part of new reviewing communities on PREreview and Sciety.
As a result of this programme, the visibility of African researchers will increase, as will the recognition for their constructive peer-review contributions. Those, coupled with supportive journal policies, will help establish a rich representation of African scholars among reviewers in the traditional as well as the ‘publish, then review’ system of scholarly communication.
",Research Enrichment - Diversity and Inclusion,Peer review system,,,"Peer review system, , "
openaire,RD,Direct,The Wellcome Trust,https://ror.org/029chgv08,Private,PREreview,,United States,PREreview,,2019-02-18,2020-03-31,,,2019,70000,GBP,"90,499.89",openaire,,wt__________::08b36981f59bc435f4ff75714dbe204b,Rapid PREreview: A rapid preprint review platform to support outbreak science,"Early, open sharing of scientific information can be facilitated via preprints, scientific manuscripts that are freely shared online prior to editorial peer review. In the context of infectious disease outbreaks, accelerating the dissemination of scientific evidence is of utmost importance. Decisions must be made quickly and leverage the best available evidence as it evolves. As preprints are increasingly adopted in the life sciences, it is essential that we build new tools – and a community around them – to help scientists rapidly and openly assess their value and validity. The goal of this proposal is to solicit funding for a collaboration between PREreview and Outbreak Science to build an interoperable, extension to the PREreview open source platform to facilitate rapid assessment of preprints during public health crises or when adapted in other disciplines requiring rapid reviews. The Rapid PREreview tool will allow researchers to quickly provide high-level evaluation of preprints via a series of questions that assess the originality and soundness of the findings. Results will be aggregated and visualized instantaneously to allow users to identify the most relevant information. To maximize engagement from the community, we will organize and facilitate sprint-like events to get specific input from diverse users, build content, and promote the use of the tool. We believe this tool, paired with collaborative, community sprint-like events, has the capacity to be transformative for on-the-ground workers, researchers, policy makers and the public alike as we help target and unlock key scientific information.",,Peer review system,,,"Peer review system, , "
oic_scrape,STRAT,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Regents of the University of California,,United States,Research Organization Registry,,2019-10-01,2020-09-30,,,2019,247415,USD,"247,415.00",imls.gov,https://www.imls.gov/grants/awarded/lg-246305-ols-20,imls:log_number::LG-246305-OLS-20,,"The California Digital Library, in collaboration with Crossref and DataCite, will develop and implement a sustainable curation model for the Research Organization Registry (ROR). ROR is a community-led project to develop an open, sustainable, usable, and unique persistent identifier for every research organization in the world so that the research community can more efficiently discover and track research outputs across institutions and funding bodies. With IMLS funds, the project team will develop a community-based curation model to sustain the registry long-term by establishing a curation advisory board; supporting a curation coordinator; and completing technical work to enable curation tasks.",National Leadership Grants - Libraries,Persistent identifier service,,,"Persistent identifier service, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,"University of California, Office of the President, Oakland",,United States,Research Organization Registry,John Chodacki,2020-09-01,2023-08-31,,,2020,199267,USD,"199,267.00",nsf,,2031172,EAGER Research Organization Registry: An Open Science Approach to Linking the Products of Research through Open Affiliations,"Persistent identifiers (PIDs) are increasingly central to the research landscape. In light of emerging open science guidance such as by funding agencies, PIDs for institution affiliations is a relatively new development, following PIDs for research outputs (DOIs) and for researchers (ORCID). Further research and analysis is needed to better understand and explain where open affiliation identifiers should be adopted, how they can connect to other PIDs for research products, and how these linkages can be leveraged to both achieve and enable open research practices across disciplines.<br/> <br/>California Digital Library (CDL) will work with partners in the Research Organization Registry (ROR) project to drive wide adoption of open affiliation identifiers in research infrastructure. CDL will research the current status of affiliation identifiers in existing infrastructure, explore the measurable benefits of adoption of these identifiers with a specific focus on how they enable open science, and develop tools and guidance to support adoption by specific stakeholder groups. This project will result in new tools and guidance for how open affiliation identifiers should be implemented and used to contribute to a more connected set of research products.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Persistent identifier service,,,"Persistent identifier service, , "
openaire,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,"University of California, Office of the President, Oakland",,United States,Research Organization Registry,,2020-09-01,2023-08-31,,,2020,199267,USD,"199,267.00",openaire,,nsf_________::d6c0b77500fe5ba1c858c21128ac4210,EAGER Research Organization Registry: An Open Science Approach to Linking the Products of Research through Open Affiliations,,,Persistent identifier service,,,"Persistent identifier service, , "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Stanford University,,United States,Open Monograph Press (OMP),None,,,2011,,2011,125000,USD,"125,000.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/6758,sloan:grants::6758,,"To fund development of the Open Monograph Press platform, including an innovative pre-publication module
",,Publishing system,,,"Publishing system, , "
ioi2022,UNK,Unknown,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,University of British Columbia,,Canada,Open Journal Systems (OJS),,,,2006,22,2006,"50,000.00",USD,"50,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Mellon Award for Technology Collaboration,to support a Mellon Award for Technology Collaboration,,Publishing system,,,"Publishing system, , "
oic_scrape,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,University of Michigan,,United States,Fulcrum,,2020-03-05,2022-03-05,2020,24 months,2020,750000,USD,"750,000.00",mellon.org,https://https://www.mellon.org/grant-details/20446594,mellon:grants::20446594,,"to support the development of the Fulcrum platform for the editing, production, dissemination, and discovery of long-form digital publications in the humanities",Public Knowledge,Publishing system,,,"Publishing system, , "
oic_scrape,UNK,Unknown,Arcadia Fund,https://ror.org/051z6e826,Private,"Birkbeck, University of London",,United Kingdon,Janeway,,2021-04-19,,2021,24 months,2021,276000,USD,"276,000.00",arcadia.org.uk__360giving-export,,360g::360G-ArcadiaFund-4538,Open Library of Humanities & Janeway,"To strengthen open access to scholarly work in the humanities disciplines, allowing everyone the freedom to access academic research.",Open Access > Other,Publishing system,,,"Publishing system, , "
ioi2022,UNK,Unknown,Arnold Ventures,https://ror.org/04hqxh742,Private,SFU,,United States,Open Journal Systems (OJS),,,,2017,24,2017,"70,037.00",USD,"70,037.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,To support the Public Knowledge Project.,,Publishing system,,,"Publishing system, , "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Universidade de Coimbra,,Portugal,Open Journal Systems (OJS),,2014-01-01,2015-01-31,,,2014,62599,EUR,"85,497.71",openaire,,fct_________::199f335f64f4dc423a88bd21a5f23eec,Strategic Project - UI 759 - 2014,"The main mission of the Centro de Literatura Portuguesa (CLP) is the study and dissemination of Portuguese Literature as both patrimony and ongoing practice. Our principal goals are the creation of an organic framework for researching Portuguese literature, from an interdisciplinary and comparative point of view and also to sum up the critical dialogue between the main trends in Theory and Literary Studies. The CLP also aims at developing pedagogical and scientific exchange programmes with similar national and international institutions as well as supporting students’ research, by welcoming them in Projects and encouraging their participation in Conferences (some of which have been specifically conceived for that purpose).
In order to fulfil this mission, the CLP promotes scientific meetings, autonomously or in partnership with other national and international institutions. The CLP members are also responsible for different types of courses, seminars and ptogrmmes. Currently, the CLP promotes three Masters programmes and three PhD programmes, as well as intensive courses which do not confer a degree.
Throughout 2014, CLP will pursue and complete the projects and correlated activities initiated within the frame of PEst-OE/ELT/UI0759/2014. The task evolves at present around two different kinds of actions: 1) publications intended to place at the scientific community’s disposal the results of those projects; 2) Scientific meetings and similar events that contribute to the deepening and peer-confirmation of the envisaged lines of research development. Note that some of these projects will continue within the strategic plan devised for the next 5-year period; further note that, concerning the present period, a set of scientific missions, embedded into the development of ongoing research activities, are planned for and contemplated.
We are able to confirm, moreover, that one of the Unit’s prime achievements, and one which is transversal to all research groups, will consist of the publication of volume 4 of the Revista de Estudos Literários (Literary Studies Journal), dedicated to the theme Figuras da Ficção.
In 2013, CLP began the publication of a new journal on the relations between literature and communication technologies: MatLit, Journal of the Doctoral Program in Materialities of Literature. This biannual online publication is managed, edited and published within the OJS Open Journal System platform (http://iduc.uc.pt/index.php/matlit/). Two issues will be published in 2014: 'Writing and Cinema' (Volume 1.2) and 'Book and Materiality’ (Volume 2.1).
Tendo como principais missões promover o estudo e a divulgação da Literatura Portuguesa enquanto património e enquanto realidade viva, o Centro de Literatura Portuguesa (CLP) tem como objectivos directos imprimir organicidade à investigação em literatura portuguesa, numa perspectiva interdisciplinar e comparatista e sistematizar o diálogo crítico entre as principais tendências da Teoria e da Crítica Literárias e. O CLP propõe-se ainda desenvolver o intercâmbio pedagógico e científico com instituições congéneres nacionais internacionais e incentivar a investigação dos estudantes, acolhendo-os em Projectos e incentivando a sua participação em Colóquios (alguns dos quais especialmente concebidos para o efeito).
Para desempenhar essa missão, o CLP promove realizações científicas, de forma autónoma ou em parceria com outras instituições nacionais e internacionais. Os membros do Centro asseguram ainda seminários e cursos de vário tipo: de Mestrado, de Doutoramento e ainda cursos intensivos não conferentes de grau. Presentemente, o CLP é entidade promotora de três Cursos de Mestrado e outros três de Doutoramento.
Ao longo do ano de 2014, o CLP prosseguirá e completará projetos e respetivas atividades iniciados no quadro do PEst-OE/ELT/UI0759/2014. Trata-se agora sobretudo de ações de duas naturezas. 1) Publicações que põem ao dispor da comunidade científica o resultado de alguns dos referidos projetos; 2) Reuniões científicas e similares que aprofundam e confirmam as linhas de desenvolvimento da investigação programada. Note-se que alguns destes projetos terão continuidade no plano estratégico do próximo quinquénio; note-se ainda que para o período agora contemplado estão previstas missões que se inserem no desenvolvimento de investigações que ficou mencionado.
Confirma-se ainda que uma das principais realizações da Unidade, transversal aos diferentes grupos, será a publicação do número 4 da Revista de Estudos Literários, dedicado ao tema Figuras da Ficção.
Em 2013, teve início a publicação de uma segunda revista da unidade dedicada às relações entre literatura e tecnologias de comunicação: MatLit, Revista do Programa de Doutoramento em Materialidades da Literatura. De periodicidade semestral e publicação em linha na plataforma OJS Open Journal System (http://iduc.uc.pt/index.php/matlit/), estão previstos dois números em 2014: ‘Escrita e Cinema’ (Volume 1.2) e ‘Livro e Materialidade (Volume 2.1).",,Publishing system,,,"Publishing system, , "
ioi2022,UNK,Unknown,MacArthur Foundation,https://ror.org/00dxczh48,Private,UBC-RS,,Canada,Open Journal Systems (OJS),,,,2002,18,2002,"73,000.00",USD,"73,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,"For ""Extending the Global Knowledge Exchange: Technological Change and the Research Capacities of Developing Nations.""",,Publishing system,,,"Publishing system, , "
ioi2022,OTHER,Direct,MacArthur Foundation,https://ror.org/00dxczh48,Private,Stanford-GSE,,United States,Open Journal Systems (OJS),,,,2015,28,2015,"460,000.00",USD,"460,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,,"The Open Access Cooperative (the Cooperative) is a new project, based at Stanford University, designed to help authors, libraries, and scholarly societies transition from subscription-based publishing to open access publishing. The Cooperative develops and tests economic models and software for open access publishing, and is headed by John Willinsky, founder of the Public Knowledge Project (PKP), which currently supports over 8,000 open access journals. If successful, this project will enable scholars, scholarly societies, libraries and others to control their works and their collections, and to make them broadly available worldwide at no cost to readers. Grant funds will be used to support software development and economic modeling, and to pilot projects with two or more groups of academic journals, one focused on economics, the other on anthropology.",,Publishing system,,,"Publishing system, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Illinois State University,,United States,Open Journal Systems (OJS),,2010-09-01,2013-02-28,2010,30,2010,50000,USD,"50,000.00",https://apps.neh.gov/open/data/,,neh::HD-51088-10,,"Building a Better Back-End: Editor, Author, & Reader Tools for Scholarly Multimedia > This Level II Digital Humanities Start-Up Grant proposal would support building an editorial management system and reader tools for scholarly multimedia, a unique form of digital scholarship. This prototype will be built on the open-source, editorial management system Open Journal System (OJS), which has been widely adopted but currently only handles the editorial process for digitized print scholarship. This prototype would create plug-ins for OJS so that it could manage the multimedia-intensive portions and unique review systems inherent in scholarly multimedia.",Digital Humanities Start-Up Grants > Digital Humanities,Publishing system,,,"Publishing system, , "
oic_scrape,USE,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"University of Michigan, Ann Arbor",,United States,Fulcrum,Sara Cohen [Project Director],2020-09-01,2022-02-28,2020,18,2020,5500,USD,"5,500.00",https://apps.neh.gov/open/data/,,neh::DR-272401-20,,"Listening to the Lomax Archive: The Sonic Rhetorics of American Folksong in the 1930s > To make Jonathon W. Stones book, Listening to the Lomax Archive: The Sonic Rhetorics of Folksong in the 1930s, available Open Access on our digital publishing platform Fulcrum.",Fellowships Open Book Program > Digital Humanities,Publishing system,,,"Publishing system, , "
oic_scrape,USE,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"University of Michigan, Ann Arbor",,United States,Fulcrum,Jason Colman [Project Director]; Bryan Birchmeier [Co Project Director]; Christopher Dreyer [Co Project Director]; Terri Geitgey [Co Project Director]; Christopher Dreyer [Project Director],2018-05-01,2020-06-30,2018,26,2018,199042,USD,"199,042.00",https://apps.neh.gov/open/data/,,neh::HZ-259485-18,,"Michigan Asian Studies Open Access Books Collection > University of Michigan Press (UMP) will collaborate with the Asia Library and Centers for Japanese, Chinese, South Asian and Southeast Asian Studies to create freely available ebook versions of significant books about Asia published at U-M over the last 50 years. An advisory group of scholars, librarians, and publishers will select 100 titles from the Centers’ back lists that are out-of-print or hard-to-find and make them available in multiple ebook formats and POD. These free-to-read, high quality works about the history and culture of Asian countries will be actively marketed to promote public understanding of the region at a time when this is especially important. The project will also advance campus collaboration and catalyze a reinvigorated Asian studies front list publishing program. Based on usage tracking and advisory group input select titles will be further enhanced through creation of new editions and multimedia enrichment on the next-gen Fulcrum publishing platform.",Humanities Open Book Program > Digital Humanities,Publishing system,,,"Publishing system, , "
oic_scrape,USE,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Kent State University,,United States,Pressbooks,Virginia Hall [Project Director],2023-06-01,2024-12-31,2023,19,2023,165946.74,USD,"165,946.74",https://apps.neh.gov/open/data/,,neh::PW-290532-23,,"Pauline Trigere: Fifty years of American fashion entrepreneurship and design: Kent State University > Kent State University Libraries anticipate the following project ""Pauline Trigere: Fifty years of American fashion entrepreneurship and design: Kent State University"" in which they propose to digitize and make available the design archives and pressbooks of Pauline Trigère, an important fashion designer from the 20th century. The digitization of the Trigère papers would allow researchers in material culture and consumer studies and historians in dress, design, and business to have ready access to the life’s work of this important twentieth century designer and to study the way her work was covered, promoted and viewed in the context of the time. The Trigère papers provide content that is both deep and rich in terms of its time span and its ability to illuminate the work of an important individual designer working in the American fashion industry during a period of intense change and cultural and economic ascendency.[edited by staff]",Humanities Collections and Reference Resources > Preservation and Access,Publishing system,,,"Publishing system, , "
ioi2022,UNK,Unknown,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,University of British Columbia,,Canada,Open Journal Systems (OJS),"Willinsky, John",,,2002,12,2002,"63,500.00",CAN,"40,449.50",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Public knowledge project,information technology; post-secondary education and research; communication; literacy,,Publishing system,,,"Publishing system, , "
ioi2022,UNK,Unknown,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,University of British Columbia,,Canada,Open Journal Systems (OJS),"Willinsky, John",,,2001,12,2001,"63,500.00",CAN,"41,021.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Public knowledge project,information technology; post-secondary education and research; communication; literacy,,Publishing system,,,"Publishing system, , "
oic_scrape,UNK,Unknown,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,The University of British Columbia,,Canada,Public Knowledge Project,"Willinsky, John",,,2000,,2000,56000,CAD,"38,636.83",http://www.outil.ost.uqam.ca/CRSH/RechProj.aspx,http://www.outil.ost.uqam.ca/CRSH/Detail.aspx?Cle=12294&Langue=2,sshrc_ca:grants::12294,Public knowledge project,information technology; post-secondary education and research; communication; literacy,Standard Research Grants > Sociology of Education > Education,Publishing system,,,"Publishing system, , "
oic_scrape,EV_TR,Direct,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,Simon Fraser University,,Canada,Public Knowledge Project,Simon Fraser University,,,2008,,2008,36500,CAD,"37,060.78",http://www.outil.ost.uqam.ca/CRSH/RechProj.aspx,http://www.outil.ost.uqam.ca/CRSH/Detail.aspx?Cle=65168&Langue=2,sshrc_ca:grants::65168,The second international public knowledge project scholarly publishing conference,scholarly publishing; digital scholarship; open access; open source,"Image, Text, Sounds and Technology > Education > Information Technologies",Publishing system,,,"Publishing system, , "
oic_scrape,UNK,Unknown,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Dryad,,United States,Dryad,None,,,2019,,2019,635915,USD,"635,915.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/9023,sloan:grants::9023,,To support the integration of both community and technology initiatives in a central data curation hub for both researchers and institutions
,,Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Cornell University,,United States,arXiv,None,,,2016,,2016,445244,USD,"445,244.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/8027,sloan:grants::8027,,To support the planning and technical prototyping of the next generation arXiv preprint server
,,Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,Chan Zuckerberg Initiative,https://ror.org/02qenvm24,Private,Cold Spring Harbor Laboratory,,United States,bioRxiv,,,,2018,,2018,1984012,USD,"1,984,012.00",chanzuckerberg.com,https://chanzuckerberg.com/grants-ventures/grants/,chanzuckerberg::0064100000OniNqAAJ,,"to convert existing and new preprints on the bioRxiv service into the JATS XML format, a digital standard for scientific papers, to support new forms of article enhancement and presentation",Science (Open Science),Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,Chan Zuckerberg Initiative,https://ror.org/02qenvm24,Private,Cold Spring Harbor Laboratory,,United States,bioRxiv,,,,2022,,2022,999580,USD,"999,580.00",chanzuckerberg.com,https://chanzuckerberg.com/grants-ventures/grants/,chanzuckerberg::a0C1K00000Y8rWL,,"to develop a new review, assessment, and discussion platform for preprints on bioRxiv and medRxiv, powered by Hypothes.is",Science (Open Science),Repository service,,,"Repository service, , "
oic_scrape,STRAT,Direct,Chan Zuckerberg Initiative,https://ror.org/02qenvm24,Private,Cold Spring Harbor Laboratory,,United States,bioRxiv,,,,2022,,2022,4900000,USD,"4,900,000.00",chanzuckerberg.com,https://chanzuckerberg.com/grants-ventures/grants/,chanzuckerberg::a0C1K00000Ynwi3,,to improve the sustainability and capacity of bioRxiv and medRxiv for making preprints the primary vehicle of dissemination in biomedicine and becoming essential platforms for community review and discussion,Science (Open Science),Repository service,,,"Repository service, , "
oic_scrape,OPS,Direct,Chan Zuckerberg Initiative,https://ror.org/02qenvm24,Private,Cold Spring Harbor Laboratory,,United States,medRxiv,,,,2020,,2020,1998521,USD,"1,998,521.00",chanzuckerberg.com,https://chanzuckerberg.com/grants-ventures/grants/,chanzuckerberg::0061K00000f965KQAQ,,"to scale the growth and curation processes of medRxiv, the preprint server for health sciences",Science (Open Science),Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,Chan Zuckerberg Initiative,https://ror.org/02qenvm24,Private,Karolinska Institutet INCF,,Sweden,bioRxiv,,,,2022,,2022,498762,USD,"498,762.00",chanzuckerberg.com,https://chanzuckerberg.com/grants-ventures/grants/,chanzuckerberg::a0C1K00000YeRM4,,"to support the creation, configuration and running of the SciScore tool to create tables visible on bioRxiv",Science (Open Science),Repository service,,,"Repository service, , "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,FCiências.ID-- Associação para a Investigação e Desenvolvimento de Ciências,,Portugal,arXiv,,2020-01-01,2023-12-31,,,2020,410000,EUR,"458,913.00",openaire,,fct_________::f7938dec73329ff11db726f91be6cbfc,"Center for Mathematics, Fundamental Applications and Operations Research","10.2 Summary in English for general dissemination purposes
CMAFcIO intends to play a key role in the research in mathematics done in Portugal and abroad. To this end, we set high standards of quality in all areas of our activity. Having common interests with researchers in other units and many national and international collaborations, we will give special attention to the features that shape the team’s identity. We wish to preserve the character of a center where fundamental and applied research coexist, with a handful of quite visible strong areas but where special domains may progress and evolve even in small subgroups.
In the project for 2018-22 the team deals with mathematical problems currently attracting attention in several important areas. Moreover, some members will continue to tackle applications to real world problems. This feature and the areas involved both in theoretical and applied research define a profile for CMAFcIO which is singular among similar units.
Members working in NONLINEAR ANALYSIS AND DIFFERENTIAL EQUATIONS will do research in ordinary and partial differential equations, with interest in nonlinear operator theory or the Calculus of Variations, and in several applications in Mathematical Physics and in Biomathematics. Among topics of research are specific equations, such as Navier-Stokes, Schrödinger and Kac-Boltzman, together with Kepler-type problems, functional-differential equations, kinetic theory of gases, phase field models, elasto-plasticity, free boundary problems, shape optimisation, renormalisation and signal processing.
The research planned under OPERATIONS RESEARCH AND OPTIMISATION will concern topics like integer linear programming formulations based on convex-hull reformulations of subproblems for node/arc routing and network design; efficient dual decomposition techniques based upon the relaxation of the non-anticipativity constraints to solve models for network design; an exact algorithm for bi-objective integer linear problems based on the Tchebycheff metric.
Our research in the areas of LOGIC (proof theory, model theory, o-minimality), GEOMETRY (D-modules, Wilmore surfaces, Hodge structures), DYNAMICAL SYSTEMS (Lyapunov exponents of linear cocycles) will be pursued in smaller but very active subgroups. By their scope and reach, these contributions substantiate the profile of the Center in what concerns mathematical competences.
A part of the research has a clearly applied or interdisciplinary character. It is the case of some members’ involvement in mathematical studies of Epidemiology, the interest on theoretically anchored contributions to materials science, or on Optimization in Services and Industry (e. g. health, decision support system for rescue operations, fishery surveys, forest management, disjunctive programming in Chemical Engineering).
CMAFcIO has a Coordinator and a Board of Directors, elected by the scientific council (that is, all the integrated PhDs members) which reflects the diversity of the scientific areas presented above.
10.3 Summary in English for evaluation
Our main goals for 2018-22 are to contribute to new, cutting-edge research, to deepen our expertise in applications of mathematics and to strengthen connections with the industry, as well as to continue the engagement in advanced training and in the organization of selected international scientific events.
A) Topics of future research plans
NONLINEAR ANALYSIS AND DIFFERENTIAL EQUATIONS Nonlinear PDEs: qualitative study of solutions of problems arising in physics and in the sciences such as: Complex Ginzburg-Landau equation (blowup phenomena); Nonlinear Schrödinger equations; concentration, regularity of solutions, free boundaries, shape optimization; equations of Navier-Stokes type; nonlocal operators and unilateral problems; quantum Master equations, namely quantum analogs of Kac´s N-particle system; chain polymers modeled by fractional Brownian motion paths. Ordinary Differential Equations: study of the Kepler problem with nonlinear dissipation; positive periodic solutions of delayed DE; Lotka-Volterra Models, persistence and permanence; travelling waves in presence of nonlinear diffusion.
LOGIC, GEOMETRY, DYNAMICAL SYSTEMS Model Theory: geometric consequences NIP in the context of Banach spaces and in neural networks; transfer cohomology tools from o-minimal linear structures with a point at infinity to the Hrushovski-Loeser non Archimedean setting; descriptive complexity of logical derivations. Geometry: complex integral transform and D-modules; constrained Willmore spectral deformation; mixed Hodge structures, Hodge-Euler polynomials; moduli spaces of Higgs bundles and quivers defined on fundamental groups of surfaces and of torus knots and links. Dynamical systems: study of continuity and large deviation problems about Lyapunov exponents of linear cocycles; dynamics of ode’s on polytopes in the context of Evolutionary Game Theory.
OPERATIONS RESEARCH AND OPTIMISATION Development of: new and stronger integer linear programming formulations based on convex-hull reformulations for network design problems combined with decomposition methods (e.g. Benders and Dantzig-Wolfe); efficient dual decomposition techniques for network design problems with uncertainty features; an exact algorithm for bi-objective integer linear problems based on a variant of the Tchebycheff metric; global optimization algorithms for MIQCPs based on a two-stage MILP-NLP decomposition with piecewise relaxation techniques.
B) List of some commitments in APPLIED & INDUSTRIAL MATHEMATICS
Dengue and vaccination: due to the imperfection of the presently only licensed vaccine (see 4.2), vaccine developers as Sanofi-Pasteur, Butantan and Takeda are already contacting us for collaboration of vaccine trial analysis and modeling, including data analysis of the present dengue situation. Data agreements are in process.
Materials Science: development, analysis and numerical implementation of a) a novel model of elasto-plasticity: topological sensitivity modelling of the plastic evolution laws, numerical simulations in synergy with experimental results; b) a phase field model for hydraulic fracturing.
Optimization in Services&Industry: i) Health: Exact and heuristic approaches to a) elective surgeries planning and scheduling with public and private hospitals b) assignment and reallocation of emergency vehicles for INEM; ii) Routing: Decision support system for mass rescue operations in cooperation with the Portuguese Navy. Exact approaches and heuristics for a) the TSP with selective cities arising in fishery surveys for IPMA b) designing dissimilar routes (in collaboration with EMEL) and waste collection in collaboration with a Lisbon district council; iii) Forest Management: model integrating harvesting road building/maintenance and timber transportation taking into account EU environmental and energy policies; iv) Food - Solving a tri-objective supply chain design problem motivated by the design of a multi-echelon food bank supply chain network operated by the Portuguese Federation of Food Banks; v) Chemical engineering: use of Generalized Disjunctive Programming to incorporate complex constraints in scheduling models in petroleum distribution.
C) ADVANCED TRAINING
We shall open calls for grants at several levels, and take advantage of the FCT “Incentive to scientific employment” in order i) to enrol PhD students - namely in doctoral programs at FCUL and ISEG - and ii) to attract younger and promising researchers with PhD.
D) INTERNATIONALIZATION
Some events in which the center will be involved:
Topics in Nonlinear Analysis and Nonlinear PDEs - yearly workshops at FCUL planned to start in 2018.
ESGI140 European Study Group with Industry, Setúbal, June 2018.
European Conference on Mathematical and Theoretical Biology July 2018, celebrating the year of Mathematical Biology - FCUL, co-organized by EMS & ESMTB.
ICM 2018 Satellite Conference on Nonlinear PDEs - Fortaleza, Brazil.
Thematic yearly meeting (school+workshop) on Dynamical Systems - FCUL, starting in 2018.
EURO 2019 Conference of Operations Research - Dublin (3000 participants). The PC chair is a member of the center.
ENOG Winter Schools in Network Optimization - series of annual schools in Lisbon, 8th edition 2019.
10th Editions of DynSystems Applied to Biology and Natural Sciences 2019 - yearly event.
Vector Bundles on Algebraic Curves - and annual conference on Algebraic Geometry whose 2020 or 2021 edition will take place in Lisbon.
Days in Logic 2020 - a biennial meeting directed to graduate students.
Optimisation 2020 - Aveiro.
Some research networks during 2018-22, namely a COST action. Members will apply to FCT and ERC Grants and involvement in H2020 and FP9.
E) OUTREACH
All members will be encouraged to put their work available on the CMAFcIO repository (through the RCCAAP network) and on arXiv. Other actions in 2018, Mathematics and Literature III and exhibition associated to Mathematical Biology year, are being prepared. O CMAFcIO pretende assumir um papel de relevo na investigação que atualmente se faz em matemática. Procuraremos padrões de qualidade em todas as áreas da nossa atividade. Apresentando interesses comuns com investigadores de outros centros e muitas colaborações a nível nacional e internacional, daremos especial atenção às características que moldam a identidade da equipa. Preservaremos o caráter de um centro em que investigação fundamental e aplicada coexistem, com áreas fortes bastante visíveis, mas onde domínios especiais podem progredir e evoluir mesmo em pequenos subgrupos.
No projeto para 2018-22 a equipa lida com problemas matemáticos atuais e pertinentes em várias áreas importantes. Para além disso, alguns membros estão envolvidos em aplicações da matemática a problemas do mundo real. Esta característica e as áreas envolvidas tanto na investigação teórica como na investigação aplicada definem um perfil para o CMAFcIO que é único entre unidades semelhantes.
A investigação em ANÁLISE NÃO-LINEAR E EQUAÇÕES DIFERENCIAIS abrange equações diferenciais ordinárias e parciais, teoria de operadores não-lineares e Cálculo de Variações, e várias aplicações (por ex. em Física-Matemática ou Biomatemática). Entre os tópicos de trabalho estarão equações específicas, como Navier-Stokes, Schrödinger e Kac-Boltzman; problemas de tipo Kepler; equações diferenciais funcionais; teoria cinética dos gases, modelos de campo de fase; elasto-plasticidade; problemas de fronteiras livres, otimização de forma; renormalização e processamento de sinais.
No âmbito da INVESTIGAÇÃO OPERACIONAL E OPTIMIZAÇÃO abordar-se-ão, entre outros temas, formulações de programação linear inteira com base em reformulações para problemas de desenho de rotas e de desenho topológico de redes; técnicas de decomposição dual baseadas no relaxamento das restrições de não-anticipatividade para resolver modelos de desenho de rede; um algoritmo exato para problemas lineares inteiros bidimensionais com base na métrica de Tchebycheff.
Nas áreas de LÓGICA (teoria de demonstração, teoria de modelos, o-minimalidade), GEOMETRIA (D-módulos, estruturas de Hodge), SISTEMAS DINÂMICOS (expoentes de Lyapunov de co-ciclos lineares) trabalharão núcleos de investigadores menos numerosos mas muito ativos. Pelo seu alcance e qualidade, essas contribuições substanciam o perfil do Centro no que diz respeito a competências matemáticas.
Parte da investigação tem caráter aplicado ou interdisciplinar. É o caso do envolvimento de alguns membros em estudos matemáticos de Epidemiologia, trabalhos teóricos com aplicação à ciência dos materiais, ou sobre Otimização em Serviços e Indústria (por exemplo em saúde, sistema de apoio à decisão para operações de resgate, pesca, floresta, Engenharia Química).
O CMAFcIO tem um Coordenador e uma Comissão Diretiva, eleitos pelo Conselho Científico (formado pelos membros integrados doutorados) que de algum modo reflete a diversidade das áreas científicas referidas.",,Repository service,,,"Repository service, , "
openaire,USE,Indirect,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Universidade de Coimbra,,Portugal,arXiv,,2023-02-15,2024-08-14,,,2023,49099.9,EUR,"52,536.89",openaire,,fct_________::93a5f076f94217e8eadc44b77dc74152,Exploring matter under extreme conditions: neutron stars in the multi-messenger era,"Neutron stars (NS) are born in core-collapse supernova events, and, along with black holes, are one of the most compact objects in the Universe. Magnetars [1] are a class of neutron stars that have very strong magnetic fields, of the order of 10^{15} G at the surface, and a slow rotation period, of the order of 1-12s. These objects are still yet to be understood in more detail, but thanks to the technological era we live in, soon more light will be shed into them, and a better comprehension, both at the macro- and microscopical levels, will be possible.
The present new and very exciting multi-messenger era for the astronomy, nuclear, gravitational and astrophysics community was set by the detection of gravitational wave signals from the collision of two neutron stars by the LIGO and Virgo interferometers in 2017 [2], and followed up by the detection of the gamma-ray burst GRB170817A and the electromagnetic transient AT2017gfo. Later, in 2019, a second and third signals, GW190425 and GW190814 [3], were detected, the first one a larger system than those of any binary NS known to date, and the latter a system involving the collision of a black hole with a 2.5-2.67 Msun compact object, that has not been ruled out yet to be a NS. The NICER collaboration has published new radius and mass measurements from PSRJ0030+0451 which have been able to set new constrains in neutron star matter [4].
In this project, unified equations of state for non-magnetised and magnetised nuclear and stellar matter, which are the essential ingredient to build the stars' mass-radius relation, will be constructed, consistent with recent theoretical, experimental and observational developments, and which may advance our current understanding of compact astrophysical objects and dense nuclear matter equation of state. Such equations of state can then be used in core-collapse supernovae and binary neutron star mergers simulations.
Special attention will be given to the non-homogeneous equation of state at sub-saturation densities [5-8]. Light nuclear clusters measured in heavy-ion collisions, under similar thermodynamic conditions, will allow the construction of a calibrated equation of state. Recently, the importance of including in-medium effects in the analysis of HIC data was demonstrated, and a new EoS with light clusters for stellar and nuclear matter was built [I]. Some of the presently available most popular equations of state for supernova simulations only consider alpha clusters, and equations of state based on a statistical model do not consider adequately in-medium modifications of nuclear clusters at finite temperature. A calibrated sub-saturation equation of state where light clusters and pasta phases are included will therefore be calculated. The role of the symmetry energy will be taken into consideration. The unified equation of state for neutron stars and core-collapse supernovae will be next constructed, and made publicly available.
The construction of the first unified equation of state for magnetized matter based on the previous (non-magnetized) calibrated equation of state, including non-homogeneous matter that extends up to the saturation density, and the appearance of exotic degrees of freedom at high densities, such as hyperons and quarks, will be calculated next.
The proposed project is, therefore, very timely, in the sense that the equations of state can then be confronted with real data from observations.
Dissemination of the research results will include the publication of all scientific papers in the open-access arXiv repository (http://arxiv.org) for electronic preprints, and the calibrated equations of state in the CompOSE database. The research results will also be presented in international conferences, workshops, and working group meetings of the PHAROS Cost Action, and possibly other future COST Actions. A webpage will be maintained with the outputs of the project.
Overall, this project will contribute to the huge amount of effort that the world scientific community is investing, and it completely fits the general framework of the PHAROS COST Action CA16214, and of possible future Actions. As estrelas de neutrões nascem em supernovas, e são um dos objectos mais densos do Universo, assim como os buracos negros. Os magnetares [1] são uma classe de estrelas de neutrões que têm campos magnéticos muito fortes associados, da ordem de 10^{15} G à superfície, e um período de rotação lento, entre 1 e 12 s aproximadamente. Ainda muito pouco se sabe sobre estes objectos, mas graças à era tecnológica em que vivemos, é de esperar que muito em breve novas descobertas serão feitas, o que permitirá um melhor entendimento destes astros, quer do ponto de vista macroscópico como do ponto de vista microscópico.
A presente era multi-mensageira para a astronomia, física nuclear e gravitacional, e astrofísica teve início em 2017 com a detecção pelos interferómetros LIGO e Virgo de sinais de ondas gravitacionais com origem na colisão de duas estrelas de neutrões [2]. Posteriormente, foram também detectados um gamma-ray burst GRB170817A, e um transiente electromagnético AT2017gfo. Mais tarde, em 2019, foram detectados mais dois sinais, GW190425 e GW190814 [3], o primeiro proveniente de um sistema maior do que qualquer binário de estrelas de neutrões até aí conhecido, e o segundo envolvendo a colisão de um buraco negro com um objecto compacto com 2.5-2.67 Msun, que ainda não foi descartado como sendo uma possível estrela de neutrões muito massiça. Recentemente, a colaboração NICER publicou novas medições de massa e raio da pulsar PSRJ0030+0451 que trazem novos vínculos na matéria de estrela de neutrões [4].
Neste projeto, equações de estado unificadas para matéria estelar e nuclear magnetizada e não-magnetizada, que são o ingrediente essencial para determinar a relação massa-raio das estrelas, vão ser construídas, consistentes com recentes desenvolvimentos teóricos, experimentais e observacionais, e que podem fazer avançar o nosso conhecimento sobre estes objectos astrofísicos muito compactos, e também sobre a equação de estado para matéria estelar densa. Estas equações de estado podem depois ser usadas em simulações de supernovas e de colisão de duas estrelas de neutrões.
Vamos dedicar especial atenção ao cálculo da equação de estado para matéria a densidades de subsaturação [5-8]. Agregados nucleares leves, que são também medidos em colisões de iões pesados, em circunstâncias termodinâmicas semelhantes, serão incluídos na construção da equação de estado. Recentemente, foi demonstrada a importância de incluir efeitos do meio na análise de dados de HIC, e uma nova EoS com agregados leves para matéria estelar e nuclear foi construída [I]. Algumas das actuais e mais populares equações de estado entre a comunidade apenas consideram agregados alpha, e as equações de estado baseadas em modelos estatísticos não consideram adequadamente modificações devidas a efeitos do meio e temperatura nos agregados nucleares. Uma equação de estado calibrada para densidades de subsaturação com agregados nucleares leves e pesados (fases de pasta) será calculada. O papel da energia de simetria também será tido em consideração. A equação de estado completa e unificada para estrelas de neutrões e eventos de supernova será construída e tornada pública.
De seguida, a construção da primeira equação de estado para matéria magnetizada baseada na equação de estado anterior calibrada (não-magnetizada), com a inclusão de matéria não-homogénea até à densidade de saturação, e com o aparecimento de graus de liberdade exóticos a altas densidades, como hiperões e quarks, será calculada.
No contexto científico e tecnológico em que vivemos, este projeto surge-nos então como extremamente oportuno, já que as equações de estado determinadas vão poder ser confrontadas com dados reais vindos de observações astronómicas.
A disseminação dos resultados científicos deste projeto será feita através da publicação de todos os artigos no repositório de acesso livre arXiv (http://arxiv.org), e das equações de estado na base de dados CompOSE. Os resultados serão também apresentados em conferências e workshops internacionais, e em reuniões de trabalho da Ação PHAROS e outras que lhe sucedam. Uma página web também será criada e mantida com os conteúdos do projeto.
De um modo geral, este projeto vai contribuir para o enorme esforço que está a ser feito por parte da comunidade científica internacional, e enquadra-se perfeitamente no âmbito da Acção COST PHAROS, e de possíveis futuras Acções.",,Repository service,,,"Repository service, , "
oic_scrape,EV_TR,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Regents of the University of California,,United States,Dryad,,2017-10-01,2018-09-30,,,2017,87408,USD,"87,408.00",imls.gov,https://www.imls.gov/grants/awarded/lg-73-18-0196-18,imls:log_number::LG-73-18-0196-18,,"The California Digital Library at the University of California and the Dryad organization will hold an invitational workshop to explore issues, identify impediments, and make recommendations regarding the widespread promotion and adoption of effective, scalable, and sustainable institutional data publication infrastructures. There are several well-known misalignments across the research data management ecosystem that impede broader adoption of data publication. The project team seeks to identify and bridge these gaps. The workshop will result in a set of recommendations for a full service, open source, low cost data publishing platform that can be used as a standalone solution or in coordination with existing institutional repository strategies. The project will leverage institutions across the nation in open data infrastructures in order to increase the amount of curated, accessible data publicly available.",National Leadership Grants - Libraries,Repository service,,,"Repository service, , "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,DRYAD,,United States,Dryad,,2021-11-09,2025-11-08,,,2021,147756,USD,"147,756.00",openaire,,nih_________::15debac65dfabdeeb243366dda02d85f,Dryad and the Generalist Repository Ecosystem Initiative (GREI),,,Repository service,,,"Repository service, , "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,DRYAD,,United States,Dryad,,2021-11-09,2025-11-08,,,2021,259375,USD,"259,375.00",openaire,,nih_________::9162b647dc9228afb64c84c72f9b5944,Dryad and the Generalist Repository Ecosystem Initiative (GREI),,,Repository service,,,"Repository service, , "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,,,United States,Dryad,,2021-11-09,2025-11-08,,,2021,467774,USD,"467,774.00",openaire,,nih_________::cac18b03f89531238397e70870cace66,Dryad and the Generalist Repository Ecosystem Initiative (GREI),,,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Stonehill College,,United States,Dryad,Bronwyn Bleakley,2015-05-15,2023-04-30,,,2015,900161,USD,"900,161.00",nsf,,1453536,CAREER: Genetic Architecture and Proximate Mechanisms Underlying Indirect Genetic Effects on Cooperative Antipredator Behavior,"A central problem in modern biology is understanding how an individual's traits, whether physical features, disease or behavior, result from the combined action of genes, the physical environment and the social environment in which an individual interacts. Describing genetic influences on behavior is particularly challenging if genes in social partners interact to generate behavior. Little is known about the extent of such genetic influences, whether their effects vary across populations or the physiological mechanisms that allow the genes in one individual to influence another individual's behavior. Trinidadian guppies are an excellent model system to study these effects on behavior because guppies perform a suite of cooperative antipredator behavior that is strongly influenced by social partners and which varies greatly across populations depending on predation risk. This project uses statistical genetics to describe the relative importance of an individual's own genes and those of its social partners for generating cooperation among guppies. This project will also link variation in physiology, gene expression, and sensory anatomy to variation in cooperation across populations. Undergraduates from under-represented groups will be provided long-term comprehensive research and mentorship experiences. An active learning curriculum for evolution classes will be developed. This work will advance our scientific understanding of the genetics of complex traits, including social behavior, while preparing diverse students to be scientists, educators, and mentors.<br/><br/>How interacting phenotypes, such as cooperation, evolve depends on both the genetic architecture of the behavior and the structure of the social environment. This project will describe the complete genetic architecture of indirect genetic effects (IGEs) on guppy antipredator behavior, especially as it might vary with changes in social selection imposed by cooperation under differential predation risk. A quantitative genetic breeding design paired with behavioral experiments will measure the influence imposed by and responsiveness to social partners and genetic covariances between those traits for high and low predation populations. Variation in these traits will be correlated with differences in gene expression for hormone receptors and cognate hormone secretion, pheromone excretion, and somatosensory anatomy. Differences in social environments will be characterized by measuring the proportions of individuals in each population that are influential on and/or responsive to social their partners. Lastly, the combination of influential and responsive partners will be varied to measure how well different combinations cooperate, quantifying differences in social selection across populations. This work will provide some of the first experimental links between proximate mechanisms, variation in IGEs, and social selection. Data will be archived and made publically available through Dryad Digital Repository and GenBank, as appropriate.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Arkansas,,United States,Dryad,Kusum Naithani,2020-08-01,2024-07-31,,,2020,150000,USD,"150,000.00",nsf,,2026815,EAGER: LINKING MICROBIAL COMMUNITY STRUCTURE AND FUNCTION FOR IMPROVED UNDERSTANDING OF ECOSYSTEM PROCESSES,"A fundamental challenge of microbial ecology is to discover unifying links between microbial communities and ecosystem processes that hold across biomes. This EAGER project will develop a procedure to analyze soil microbial data collected by the National Ecological Observatory Network (NEON), which has the advantage of generating high-quality, comparable data through standardized and quality-controlled collection and processing methods at field sites across the continent. The high-risk, high-payoff aspect of this project will involve development and testing of a 'DNA barcoding' technique for characterizing soil microbiomes in the field. Improved understanding of the links between microbial community structure and ecosystem processes will enable scientists to better predict how environmental changes impact biogeochemical cycles and stewardship of natural resources. This project will include training opportunities at the undergraduate and graduate levels. <br/><br/>This EAGER project integrates soil microbiology with ecosystem ecology to improve understanding of ecosystem processes, and will chart new ground using a new method, based on a MinION genomics platform, for characterizing soil microbes in the field. Specific research objectives are to (1) develop a data analysis pipeline for the NEON soil microbiota data; (2) identify unifying links between microbial structure (species richness, abundance, diversity, composition) and ecosystem processes (soil respiration and nitrogen mineralization) through analyses of publicly available NEON data products; and (3) collect and analyze soil microbial data in the field using MinION based DNA barcoding technique at NEON domain sites (D10 – CPER, D10 – RMNP, D10 – STER, D13 – NIWO) near Boulder, CO to develop and benchmark [using next generation sequencing and Phospholipid Fatty Acid (PLFA) profiling] soil analysis methods by coordinating sampling with NEON scientists. The results will reveal consistencies across biomes in microbial community structure and ecosystem processes. The methods and pipeline developed for these studies will facilitate improvements in ecosystem models that are key to reducing uncertainty in predictions of carbon fluxes and stocks, nitrification/denitrification, carbon decomposition, and overall land management. The studies will include training of graduate students, development of a course on using large data sets, and use of tutorials to engage undergraduates in using and analyzing NEON data.. The data collected at the NEON sites will be shared through GitHub and repositories like DRYAD & PANGAEA. Results from this work will be shared with scientific community via presentations and workshops at scientific meetings, an ""R"" library, and peer-reviewed publications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Trustees of Boston University,,United States,Dryad,Karen Warkentin,2015-08-01,2016-07-31,,,2015,16380,USD,"16,380.00",nsf,,1501531,"Dissertation Research: Parent-embryo Interactions in Glassfrogs - Female Mating Strategies, Paternal Effort, and Adaptive Plasticity in Hatching","A fundamental goal of behavioral ecology is to understand how shared interests and conflicts among related individuals shape family life. Offspring benefit from increasing parental care, but parents' ability to care for young is limited by resources needed for future reproduction and survival. This conflict is thought to favor strategies that allow individuals to balance the costs and benefits of parenting. Research on this topic has typically focused on species with conventional sex roles where females care for young. In glassfrogs, males care for eggs and embryos can hatch early to escape from abandoned eggs. This project will evaluate hypotheses about father embryo co-evolution by assessing heritability and variation in ecologically important paternal and embryonic traits. It will test if females select good fathers or mate strategically to induce good parenting and how interactions between parents affect the evolution of embryos' hatching strategies. This project will offer new perspectives on family life by testing how sexual selection influences the behavior of fathers and embryos. Glassfrog family interactions have substantial appeal for scientific education and public outreach. The PIs will work with the media, museums, and zoos to disseminate results broadly. This project will offer training in integrative methods of genomics, behavioral ecology, and quantitative genetics for a graduate student and an undergraduate assistant and foster collaborations with Latin American researchers.
This research uses adaptive plasticity in hatching to examine parent offspring interactions and their consequences in a glassfrog with male care of eggs. In Hyalinobatrachium colymbiphyllum, higher mating success results in more paternal effort, longer embryonic periods, and higher offspring survival. The team will use a next-generation genotype-by-sequencing method for maternity analysis, in combination with detailed histories of male mating and caring behavior, to assess female mating choices in the context of social environments. Specifically, they will test whether females mate tactically to exploit male care and assess potential mutual benefits to co-nesting females. The team will test hypotheses of father embryo co-evolution by assessing covariation between paternal traits, measured in a field experiment, and hatching responses of their embryos, measured in a common-garden experiment. This study extends fundamental tests of parent offspring interactions to a system with male-only care, and will inform and motivate other research on parental and embryo strategies. Data will be shared in online supplements to publications or in public archives (DRYAD, the Sequence Read Archive, GenBank) as appropriate. Outreach materials will be posted online.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Harvard University,,United States,arXiv,Madhu Sudan,2022-03-01,2025-02-28,,,2022,500000,USD,"500,000.00",nsf,,2152413,AF: Small: Streaming Complexity of Constraint Satisfaction Problems,"A large part of modern computation involves massive streams of data that need to be analyzed by tiny processors that are incapable of much computation or storing much information as it whizzes by. Streaming-algorithms research tackles this challenge head on and aims to come up with novel algorithms that manage to extract some global features of the data despite the limited time and memory. While many surprising tasks are by now known to be solved by streaming algorithms, and others are known to require large memory, this area still lacks broad understanding. This project aims for a systematic study of the power of streaming algorithms in the context of constraint-satisfaction problems (CSPs). CSPs are a broad, natural class of optimization problems that have been intensely explored in the context of fast algorithms without memory constraints. In that context they have served as a valuable tool in understanding the diversity of algorithms, inherent limits on algorithmic performance, and in understanding which algorithm to use for a newly discovered task. This project aims for a similar understanding of the power of streaming algorithms when memory is limited. Success in such a project would vastly improve understanding of the power, the limits, and the variety that exists among algorithms that analyze massive streams of data with limited computational resources. Such an understanding would yield a readily applicable toolkit for an application designer aiming to design a streaming algorithm for a newly encountered task, thereby vastly improving the bridge from the theory to its application. <br/><br/>Technically this project aims for a complete classification of all constraint-satisfaction problems in the setting of streaming algorithms. Constraint-satisfaction problems form an infinite class of optimization problems where the goal is to find an assignment to n variables that maximizes the number of satisfied constraints, where a single constraint depends on a constant number of variables and restricts the joint assignment of these variables. The sets of restricted assignments defines the problem. The goal of the classification is to determine the exact approximability of the optimum for every constraint-satisfaction problem, when restricted to subpolynomial space in n, and to sublinear space in n. Additional goals involve understanding the limits of multipass algorithms. Some concrete algorithms that the project explores are ""sketching algorithms,"" ""snapshot algorithms,"" and ""random-walk algorithms"". The former two are known to exhibit surprising power. The latter classes of algorithms are broader but have not been shown to be more powerful. The ultimate goal of this project is to resolve the strength of these algorithms. On the lower-bound side, the project will explore new questions and models in communication complexity and new tools in information theory with the aim of proving limits to these algorithms. The educational component of the project involves developing courses in information theory, and including modules related to streaming algorithms in the undergraduate curriculum. Progress from the project will be reported on public domain sites like the arxiv (www.arxiv.org).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Michigan State University,,United States,Dryad,Gary Mittelbach,2013-07-01,2015-06-30,,,2013,19947,USD,"19,947.00",nsf,,1311455,DISSERTATION RESEARCH: Fitness tradeoffs in animal personalities across life stages,"A seemingly simple but significan question is, whether in responses to drug treatment or behavioral interactions, why do different individuals respond differently? Research on fish and other vertebrates has demonstrated consistent inter-individual differences in behaviors such as boldness and aggression. These inter-individual differences in behavior have been termed animal personalities. The work conducted under this award examines the ecological consequences of individual behavioral variation in largemouth bass, an important North American sport fish. To date, only a handful of studies have investigated the relationship between personality traits and various components of fitness in the field, and even fewer studies have investigated whether inter-individual differences in behavior are consistent across life stages. Fish are excellent study organisms to investigate the impact of personality traits on growth, survival, and reproductive success at different life stages. The work conducted under this award will use DNA-based paternity analysis to examine how variation in shy/bold behavior affects various components of fitness in largemouth bass under field conditions. These field studies focus on juvenile growth and survival, adult male and female reproductive success, heritability of personality types, and the fitness tradeoffs of shy/bold personality types across life stages. Bass are one of the most economically important sport fish in North America and the results of this research will help inform decision makers on how to better manage these and other fish species. Although the evolutionary impacts of commercial harvest on fish populations are well-recognized, the effects of recreational angling (including catch and release fishing) on fish population are largely unknown. Research conducted under this award will directly address how recreational angling affects bass behaviors and reproductive success. Results from this research will be communicated through presentations and publications to scientific and non-scientific audiences, including secondary school students through K-12 education programs at the Kellogg Biological Station.<br/><br/>Data used in publications from this project will be deposited into DRYAD (http://datadryad.org)",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Pennsylvania State Univ University Park,,United States,Dryad,David Hughes,2015-08-15,2016-07-31,,,2015,13923,USD,"13,923.00",nsf,,1501706,DISSERTATION RESEARCH: From Metabolites to Continent: Host-parasite Interaction across Spatio-temporal Scales,"All living organisms interact with parasites. Often, the outcome of these interactions is either morbidity or the death of the host. However, in some instances, the behavior of the host can be manipulated by the parasite. This behavioral manipulation increases the transmission of the parasite, either to a new environment crucial for its development, or to a new host. Although many examples of parasitic behavioral manipulation exist, little is known of the mechanisms underlying it. Investigators will study the genetic basis of parasitic manipulation by analyzing the gene expression of host brains at the exact moment they are being manipulated. Because the parasite that manipulates the behavior also results in host sickness, the investigators will use a non-manipulative parasite as a comparison. Thus, they will be able to distinguish between the genetic basis of sickness and manipulation. Since many manipulators exploit immune systems and neural connections, understanding how they manipulate their host has practical and theoretical applications, leading us to better understand sickness behavior and mental disorders. Brain snatchers are very popular among the general public, including K-12, as they turn their host into ""zombies."" Investigators will leverage this popularity to bring science to K-12 classrooms and local communities. <br/><br/>Investigators will study the proximate mechanisms of parasitic behavioral manipulation, by studying gene expression of the host during the moment of behavioral manipulation. Because the manipulative parasite also causes sickness, and the manipulation is immediately followed by death, a generalist non-manipulative parasite that also results in sickness and death of the host will be used as control. Healthy, uninfected, host brains will be used as a baseline for normal gene expression. Investigators will use Illumina HiSeq 2500 technology to compare the transcriptome of manipulated host brains with those that present general sickness and death symptoms. This will allow the research team to capture the genes that are differentially expressed during manipulation and are not related to general sickness or death processes. Understanding the gene expression of a manipulated host is a fundamental step to understand the mechanisms underlying behavioral manipulation by parasites. Additionally, the data will be interpreted in an interdisciplinary broader context, together with other approaches (different ecological scales) employed by the same research group to fully understand the parasitic manipulation. Results of this project will be published in peer-reviewed journals and also presented at conferences. All data from this project will be hosted on public databases such as Genbank and Dryad as well as stored on Penn State's publically accessible databases.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,SUNY College at Oswego,,United States,Dryad,Jennifer Olori,2017-09-01,2023-08-31,,,2017,73165,USD,"73,165.00",nsf,,1655610,DEB Proposal: SG: Collaborative Research:Repeated evolution of limblessness and head-first burrowing in tetrapods: Testing predictions from the fossil record,"Animal species have evolved an incredible diversity of body shapes to reflect their different ecology and functions, e.g., swimming, flying, burrowing. An intriguing pattern is the independent evolutionary repetition of similar body shapes among distantly related groups of animal species; this is known as convergent evolution. How and why convergence of body shape occurs is a fundamental evolutionary puzzle. This research project examines the anatomical, biomechanical, developmental, and natural selection pressures that drive the evolution of limblessness and head-first burrowing. Burrowing behavior and the loss of limbs is a classic case of convergent evolution, and this project will test general hypotheses concerning the selective pressures that gave give rise to similar body shapes in various snakes, lizard and amphibian species. In this project, computer analysis will be applied to images of skull shape created with technologies derived from medical imaging. That data will then be used to test for relationships between form and function in both fossils and living animals. The results of this work will be important to understanding how and why evolution arrived repeatedly at some common biomechanical solutions for burrowing. The proposed research also provides unique mentoring and outreach opportunities. This project will provide research experience for students from underserved communities. It will develop a mobile toolkit of both analog and digital components devoted to science outreach activities, and it will inform the public about evolutionary processes through multiple public outreach events. <br/><br/>The research project will test for variation in the causes of head-first burrowing (HFB) which is a prominent example of convergent evolution. Reduction and loss of limbs is associated with the use of the head as a burrowing tool across snakes, amphibians, multiple clades of lizards, and several extinct tetrapod groups. The research will describe and quantify the morphological variability in bony and soft tissues in living HFB species. Micro CT and histological data will be collected to assess biomaterial composition, suture patterns, and developmental trajectories across distantly-related taxa. Those results will be placed in a phylogenetic and developmental context using phylogenetic comparative methods. The work will thus infer form, function, and evolutionary history from the patterns of variability. The investigative framework devised for extant taxa will then be applied to extinct, putative HFB taxa to provide independent tests of prior observational hypotheses made for fossils. The reach of this work will be extended through data sharing of the 3D anatomical models, phylogenetic matrices, and specimen data via NSF-supported databases such as Morphobank and Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Virginia Polytechnic Institute and State University,,United States,Dryad,Michelle Stocker,2017-09-01,2023-08-31,,,2017,76835,USD,"76,835.00",nsf,,1655609,DEB Proposal: SG: Collaborative Research: Repeated evolution of limblessness and head-first burrowing in tetrapods: Testing predictions from the fossil record,"Animal species have evolved an incredible diversity of body shapes to reflect their different ecology and functions, e.g., swimming, flying, burrowing. An intriguing pattern is the independent evolutionary repetition of similar body shapes among distantly related groups of animal species; this is known as convergent evolution. How and why convergence of body shape occurs is a fundamental evolutionary puzzle. This research project examines the anatomical, biomechanical, developmental, and natural selection pressures that drive the evolution of limblessness and head-first burrowing. Burrowing behavior and the loss of limbs is a classic case of convergent evolution, and this project will test general hypotheses concerning the selective pressures that gave give rise to similar body shapes in various snakes, lizard and amphibian species. In this project, computer analysis will be applied to images of skull shape created with technologies derived from medical imaging. That data will then be used to test for relationships between form and function in both fossils and living animals. The results of this work will be important to understanding how and why evolution arrived repeatedly at some common biomechanical solutions for burrowing. The proposed research also provides unique mentoring and outreach opportunities. This project will provide research experience for students from underserved communities. It will develop a mobile toolkit of both analog and digital components devoted to science outreach activities, and it will inform the public about evolutionary processes through multiple public outreach events. <br/><br/>The research project will test for variation in the causes of head-first burrowing (HFB) which is a prominent example of convergent evolution. Reduction and loss of limbs is associated with the use of the head as a burrowing tool across snakes, amphibians, multiple clades of lizards, and several extinct tetrapod groups. The research will describe and quantify the morphological variability in bony and soft tissues in living HFB species. Micro CT and histological data will be collected to assess biomaterial composition, suture patterns, and developmental trajectories across distantly-related taxa. Those results will be placed in a phylogenetic and developmental context using phylogenetic comparative methods. The work will thus infer form, function, and evolutionary history from the patterns of variability. The investigative framework devised for extant taxa will then be applied to extinct, putative HFB taxa to provide independent tests of prior observational hypotheses made for fossils. The reach of this work will be extended through data sharing of the 3D anatomical models, phylogenetic matrices, and specimen data via NSF-supported databases such as Morphobank and Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Cornell University,,United States,arXiv,Ramin Zabih,2024-01-01,2028-12-31,,,2024,4966530,USD,"4,966,530.00",nsf,,2311521,Frameworks: arXiv as an accessible large-scale open research platform,"arXiv is an open-access repository that has played a leading role in disciplines such as computer science, mathematics and physics for over 30 years. It hosts more than 2 million scientific papers and has a large user community. Each month there are approximately 5 million active users and 100 million web accesses. Despite its size and usage, arXiv has very limited search and recommendation functionality. In order to better serve the arXiv community, this project is building a new generation of search and recommendation functionality and simultaneously creating a research sandbox to reduce reliance on third-party, commercial services. To make arXiv's trove of scientific content accessible to the visually impaired, support is being added for well-structured HTML as well as PDF. Improved discovery of research results provides broad multidisciplinary benefits across areas of science. These include less researcher time wasted browsing through large amounts of irrelevant papers, revelation of ""unknown unknowns,"" and accelerating research across different subject areas through unexpected synergies. Improved recommendation tools, which can provide unbiased and diverse sources of relevant research results and techniques, are urgently needed to break silos. arXiv will provide improved mechanisms for scientists to find out about important advances, both in their own field of expertise and in adjacent fields.<br/><br/>This project includes 4 major focus areas: Open A/B Testing, Neural Representations of Scientific Text, arXiv Dynamics, and Security & Privacy. (1) Open A/B Testing enables arXiv to become a platform for A/B testing of search and recommendation algorithms. In addition to online A/B testing, offline A/B testing is provided using historical data along with counterfactual estimators for policy rewards. (2) Neural Representation of Scientific Text provides a vector-based representation of scientific texts (documents, paragraphs, and sentences) appropriate for multiple tasks, including citation, author, title, and keyword prediction. Differentiable search indices are investigated due to their potential to provide additional search performance improvements without requiring incremental re-training. Finally, this supports the construction of a scientific question-answering system which can also be used as a context-sensitive ""chat-bot"" enabling researchers to converse with and get a list of recent publications relevant to their interests. (3) The arXiv Dynamics project investigates how scientific fields grow, shrink, and transform over time. Creating a ""trending and emerging arXiv topics"" pattern recognition system predicts how interesting current and historical articles are to researchers. Research is investigating methods to remove the ""rich-get-richer"" effect from this model, to correct the model for the effects of the users' historical interactions with the system, and to track performance and solicit user feedback as these models change over time. (4) Under Security & Privacy arXiv's privacy policy is updated so that users are aware of how their (meta-)data may be used and the protections that will be deployed to protect their privacy. A ""Layer 1"" API allows researchers to make coarse-grained queries on anonymized arXiv weblogs and a ""Layer 2"" API which allows researchers to securely experiment on arXiv metadata and weblogs. Privacy is preserved by a combination of query restrictions and researcher usage agreements. A machine-learning API layer is being developed which supports differential privacy, and allows researchers to investigate the utility of these tools for novel ML-based applications, such as free-form question answering about scientific texts, neural recommender systems, etc.<br/><br/>This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Information and Intelligent Systems in the Directorate for Computer and Information Science and Engineering and the Division of Physics within the Directorate for Mathematical and Physical Sciences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Riverside,,United States,Dryad,Amy Litt,2015-07-01,2021-06-30,,,2015,667655,USD,"667,655.00",nsf,,1456109,Functional Evolution of the FRUITFULL Gene Lineage in the Tomato Family (Solanaceae),"Because plants are rooted in the ground, they must have ways for their offspring to move away from home, to colonize new areas. Seeds are usually produced in one of two types of vessels to facilitate this process. A dry pod splits open at maturity to release the seeds, so they can be carried on the wind or, if they have hooks, they can stick to an animal. In contrast, a fleshy fruit such as an apple or cucumber will be eaten by an animal, which will then disperse the seeds. Fleshy fruits provide an important source of nutrition to all animals, including humans; a large part of the human diet and economy is based on fruits such as tomatoes, peppers, melons, squash, or avocados. Many different groups of flowering plants underwent an evolutionary shift from producing a dry pod to a fleshy fruit, with important ecological and economic consequences. The long-term goal of this project is to understand the genetic mechanisms that determine if a plant will produce a dry pod or an edible, fleshy fruit. The work focuses on the nightshade family, which includes pod-producing species such as desert tobacco and petunia, as well as fleshy-fruit-producing species such as tomato, eggplant, and pepper. These experiments look at the role of a group of genes that appears to have undergone a change in function associated with the origin of fleshy fruit. The results may identify specific genes or changes in genes that allow a species to make an edible, nutritious fruit, which could contribute to crop improvement or development. This project also will form the basis of two botanical garden exhibits on fruit structure and diversity in the nightshade family, and will provide training for high school students and undergraduates from under-represented minorities, as well as for a graduate student and a post-doctoral researcher. <br/><br/>The MADS-box transcription factor FRUITFULL (FUL) plays a key role in the development of the Arabidopsis fruit by determining the patterns of cell differentiation that are required for the fruit to elongate and split open normally to release the seeds. FUL orthologs have also been shown to be required for proper ripening in some fleshy fruits, showing a conserved function in fruit development, but with a substantially different outcome. Fruits in the nightshade family (Solanaceae) are ancestrally dry and dehiscent, but there was a shift to fleshy fruit with the origin of the Solanoideae clade. The FUL gene clade has undergone duplications leading to four copies in some species, and the first part of this project will generate a gene tree using a combination of transcriptome and targeted PCR approaches to identify when duplications occurred. The data will also be used to determine whether different paralogous clades have undergone different modes of evolution (neutral, purifying, etc), which will be correlated with the functional data collected in the second part. The second part uses CRISPR technology to compare the function of the four FUL paralogs in desert tobacco and tomato to determine how the function of each paralog changed during Solanaceae evolution. Double and quadruple mutants will also be evaluated and transcriptomes generated to determine the effect of downregulation on downstream targets in both dry and fleshy fruit development. The focus will be on early stages of development, prior to ripening and dehiscence, when defining characteristics such as pericarp thickness and cell type identity are specified. The data will contribute to our understanding of the mechanisms required to produce a fleshy fruit, and will elucidate the processes underlying a key evolutionary phenomenon, the shift from dry to fleshy fruit production. All data will be publicly available upon publication through GenBank, Sol Genomics Network, and the Dryad repository. Mutant lines and seed will be available upon request from the investigators.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Clark University,,United States,Dryad,Susan Foster,2015-08-01,2016-07-31,,,2015,14880,USD,"14,880.00",nsf,,1543593,RAPID: Behavioral Plasticity and Hybridization of Young Species,"Biological diversity is decreasing at an exceptionally rapid rate in response to human modification of the environment. One outcome of human activity is increasing productivity in aquatic environments, often leading to changes in growth rates of aquatic organisms including the threespine stickleback fish. This small fish has served as a model for understanding how newly-arisen species have evolved and how they maintain their distinctiveness. The research proposed here will evaluate the threat posed to pairs of species that have arisen in a small number of lakes in the Pacific Northwest, focusing on possible shifts in body size and behavior. The research has significant conservation implications not just for stickleback but also for understanding human-caused environmental changes leading to size and behavioral shifts, and, ultimately, interbreeding between species and loss of biodiversity. The research will include undergraduates and graduate students in field and laboratory research. The findings will be incorporated into teaching at the undergraduate level at Clark University and into outreach activities involving elementary school through high school students in the largely impoverished and minority community in which Clark University is located.<br/><br/>The initial stages of speciation are difficult to capture, but the threespine stickleback fish (Gasterosteus aculeatus) from the Pacific Northwest has served as a model system of the speciation process. Replicated pairs of species have revealed in detail the genetic, morphological, and behavioral transitions associated with divergence. Sometimes, the initial stages of speciation are mediated by plastic shifts in behavior and morphology, when populations are exposed to novel environments. Plastic transitions may be followed by genetic accommodation, leading to evolutionary differentiation of the populations, and to stable reproductive isolation. In some instances however, reproductive isolation can be maintained by differential use of habitats in secondary sympatry, without significant genetic differentiation, leading to the possibility that changing environments will facilitate hybridization and loss of closely related species. This is a possibility that has not been explored in the species pairs of G. aculeatus. Differences in body size are important mediators of reproductive isolation between members of the pairs. This research will evaluate the possibility that differences in body size between the species pairs is decreasing due to increasing aquatic productivity and that this could lead to hybridization of the three remaining benthic-limnetic species pairs in southern British Columbia. The timing of the research is critical, as evolution in this system is known to be rapid, as is the environmental change that could cause its demise. These species pairs have offered unparalleled insight into the mechanisms of ecological speciation, and their loss through hybridization will conceal the numerous biological signatures of early divergence they have provided. All data will be archived in the Dryad Digital Repository.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Stanford University,,United States,Dryad,Jonathan Payne,2012-06-15,2017-11-30,,,2012,458203,USD,"458,203.00",nsf,,1151022,CAREER: Identifying controls on size evolution through comparative analysis,"CAREER: Identifying controls on size evolution through comparative analysis<br/>Jonathan L. Payne, Department of Geological and Environmental Sciences, Stanford University<br/>EAR-1151022<br/><br/>ABSTRACT<br/>Size and function are inseparable in biology because a wide variety of physiological and life-history traits scale with size. Patterns of size evolution can therefore complement taxonomic diversity and geochemical proxy data by providing quantitative constraints on the influence of ecological interactions and environmental change on major events in the history of life, from the origin of eukaryotes to the Cambrian explosion, the early Paleozoic radiation of marine animals, the Cenozoic rise of mammals, the circumstances of mass extinctions and subsequent recoveries, responses to climate change, and potential influences of sampling bias on taxonomic diversity. <br/>One of the most intriguing observations in the study of size evolution is that patterns of change are often shared across distantly related taxa during intervals of taxonomic radiation, mass extinction, and global environmental change. Just as comprehensive, global compilation of stratigraphic ranges has enabled vast advances in our understanding of biodiversity dynamics, an analogous compilation of body sizes spanning the Phanerozic is critical for identifying controls on the evolution of this key functional trait. <br/>The goal of this study is to determine if and when evolutionary dynamics have been shared across major clades through the Phanerozoic and thereby identify the factors that shape the evolution of organism size. To accomplish this goal, PI will compile comprehensive, genus-level size datasets for foraminifera, brachiopods, and gastropods. These groups comprise more than 25% of the genus diversity in the marine fossil record but differ in basic anatomy, physiology, and ecology. By identifying the best model for size evolution within each clade, determining whether or not the mode of size evolution has shifted during the Phanerozoic, and testing whether evolutionary dynamics are shared across these groups, PI will determine whether there are universal ecological or environmental controls on size evolution or if, instead, the dynamics of size evolution vary among groups as a function of ecological and physiological properties or change through geological time as a function of biological or environmental circumstances.<br/>This study will provide the foundation for PI's long-term education and outreach program. Participation in the collection and analysis of body size data requires relatively little technical training or access to expensive instruments or facilities. Consequently, it offers an ideal opportunity to involve students at all levels directly in data collection and analysis, both in the classroom and as part of intensive summer research programs. Each summer, six high school students and one high school teacher will assist undergraduates and the graduate student in data collection and preliminary analyses. The high school teacher will continue data collection and analysis during the academic year at Yerba Buena High School, a school that serves a majority population of economically disadvantaged families and underrepresented groups in STEM fields. The graduate student will visit the class on a biweekly basis to supervise data collection and analysis, and the class will visit Stanford each spring as a capstone experience. The PI will develop a new freshman seminar class with exercises based on data from this project. Project success will be evaluated using surveys to assess student attitudes toward STEM fields and future plans before and after participation in the project, as well as long-term tracking of students' educational histories in future years.<br/>Data collected from this project will be archived as stand-alone datasets at Dryad, but will also be entered into the Paleobiology Database, an open-access, community-wide compilation of fossil occurrence data. Size data are integral to analyses of evolutionary dynamics and the fidelity of the fossil record. Because the data produced in this study will cover a significant fraction of known marine genera, they are likely to be used broadly by the community in studies unrelated to the proposed project.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Michigan State University,,United States,Dryad,Carol Buell,2015-06-15,2021-05-31,,,2015,5091370,USD,"5,091,370.00",nsf,,1444499,Evolution of Specialized Metabolite Biosynthetic Pathways in the Lamiaceae: Sources of Chemical Diversity for Molecules Essential for Human Use and Plant Defense,"Co-PIs: Natalia Dudareva (Purdue University), Sarah O'Connor (John Innes Centre, UK), Douglas Soltis (University of Florida), Pamela Soltis (University of Florida)<br/><br/>The sixth largest flowering plant family, the Lamiaceae or mint family, is the source of many familiar mint and culinary flavors enjoyed by people worldwide. Many members of the mint family produce so-called secondary metabolites, which are by-products of plant chemistry that impart the familiar flavors of peppermint or spearmint in herbal teas or savory culinary seasoning from oregano, basil, lavender and other herbs. Human appreciation and consumption of these botanical compounds supports a growing agronomic industry, with the market for peppermint and spearmint oil alone worth over $200 million in 2011 (USDA); and yet how and why the underlying chemistry of these compounds evolved in the family is unknown. This project studies the chemical pathways required to synthesize flavor compounds using genome sequencing and by identifying all the relevant factors produced in each species. By comparing the resulting large datasets across family members, the project will clarify how such chemical processes evolved in plants. The interdisciplinary nature of the project requires the participation of experts in biochemistry, genomics, genetics and evolutionary biology. In turn, high school, undergraduate, and graduate students are trained at the frontiers of science by learning cutting edge genomics research that links directly to products of economic value. Through collaboration with the Michigan State University 4H Children's Garden and the Florida Museum of Natural History, the project offers informative displays and tours so the public can become citizen scientists as they learn about the evolution and underlying ""flavor"" chemistry of the familiar and much appreciated mint family. <br/><br/>The Lamiaceae represents a large family of angiosperms with a high degree of chemical diversity. The major subfamilies within the Lamiaceae, the Lamioideae and Nepetoideae, can be readily distinguished morphologically and also show qualitative and quantitative differences in the synthesis of two key specialized compounds, iridoids and volatile monoterpenoids. These compounds play an essential role in plant reproduction, defense, and signaling and are also the source of mint and other herbal flavors for human consumption. This project integrates genomic, metabolite, phylogenetic, and functional datasets to investigate the evolution of the monoterpene and iridoid biosynthetic pathways in the Lamiaceae. In the first phase, the transcriptomes and metabolomes of a phylogenetically diverse panel of 50 species will be generated and analyzed to identify a robust set of 14 species for focused study. In the second phase, full genome sequencing, expression, and metabolite levels will be conducted on the selected set, thus providing resources to (1) identify specific genes involved in monoterpene and iridoid biosynthesis, (2) elucidate key evolutionary events and mechanisms that led to the extant chemical diversity represented in the Lamiaceae, and (3) functionally test hypotheses about how variation in biosynthetic pathway genes contribute to chemical diversity. All resources from the project, including genome, transcriptome sequences and metabolite information will be publicly available through publications, the NCBI sequence archives, the Dryad Digital Repository and posted on a project website hosted at Michigan State University.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Harvey Mudd College,,United States,arXiv,Geoff Kuenning,2019-10-01,2024-09-30,,,2019,264878,USD,"264,878.00",nsf,,1900589,CNS Core: III: Medium: Collaborative Research: Optimizing and Understanding Large Parameter Spaces in Storage Systems,"Computer systems contain software which is becoming increasingly complex. Complex software often includes many configurable parameters or knobs that can be adjusted to adjust performance and energy consumption. As an example, a smartphone's settings include many on/off features and ""sliders"" one can adjust; but trying all the possible combinations to improve performance and reduce battery consumption is very time consuming. This project aims to optimize computer systems by (1) automatically exploring many parameter combinations and (2) helping humans see visual indications of how these parameters work and better understand complex systems.<br/><br/>This project will: (1) develop techniques to optimize storage systems, because they are the slowest part of any computer; (2) combine features from existing optimization and machine learning techniques; (3) improve the search for optimal settings by deciding when to stop and restart searching as well as considering the cost of changing system settings; (4) develop human driven visual techniques to explore extremely large sets of option combinations to better understand them and further direct the optimization process; and (5) evaluate all these techniques on real world storage systems.<br/><br/>Computer storage systems are so complex that no human can fully optimize them, particularly when circumstances change. This project will help automate the optimization of storage systems, improving their performance and energy use; advance the state of the art in hybrid optimization and machine learning techniques; develop and release interactive visualization systems that let humans understand, view, and direct a search process to promising directions; train and educate graduate and undergraduate students; and produce results that are applicable to other computer system optimization problems.<br/><br/>The project's artifacts such as software, source code, data sets, and results are part of a system called ""Spectra"". These artifacts will be made public through the project Website: https://www.filesystems.org/spectra. Results will be disseminated in peer-reviewed publications and on arxiv.org. The data will be maintained for at least ten years following the end of the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,SUNY at Stony Brook,,United States,arXiv,Erez Zadok,2019-10-01,2024-09-30,,,2019,847142,USD,"847,142.00",nsf,,1900706,CNS Core: III: Medium: Collaborative Research: Optimizing and Understanding Large Parameter Spaces in Storage Systems,"Computer systems contain software which is becoming increasingly complex. Complex software often includes many configurable parameters or knobs that can be adjusted to adjust performance and energy consumption. As an example, a smartphone's settings include many on/off features and ""sliders"" one can adjust; but trying all the possible combinations to improve performance and reduce battery consumption is very time consuming. This project aims to optimize computer systems by (1) automatically exploring many parameter combinations and (2) helping humans see visual indications of how these parameters work and better understand complex systems.<br/><br/>This project will: (1) develop techniques to optimize storage systems, because they are the slowest part of any computer; (2) combine features from existing optimization and machine learning techniques; (3) improve the search for optimal settings by deciding when to stop and restart searching as well as considering the cost of changing system settings; (4) develop human driven visual techniques to explore extremely large sets of option combinations to better understand them and further direct the optimization process; and (5) evaluate all these techniques on real world storage systems.<br/><br/>Computer storage systems are so complex that no human can fully optimize them, particularly when circumstances change. This project will help automate the optimization of storage systems, improving their performance and energy use; advance the state of the art in hybrid optimization and machine learning techniques; develop and release interactive visualization systems that let humans understand, view, and direct a search process to promising directions; train and educate graduate and undergraduate students; and produce results that are applicable to other computer system optimization problems.<br/><br/>The project's artifacts such as software, source code, data sets, and results are part of a system called ""Spectra"". These artifacts will be made public through the project Website: https://www.filesystems.org/spectra. Results will be disseminated in peer-reviewed publications and on arxiv.org. The data will be maintained for at least ten years following the end of the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Illinois at Urbana-Champaign,,United States,Dryad,Alison Bell,2013-09-15,2015-08-31,,,2013,20569,USD,"20,569.00",nsf,,1311238,DISSERTATION RESEARCH: Behavioral type - environment correlations in three-spined stickleback (Gasterosteus aculeatus),"Consistent individual differences in behavior, analogous to personality in humans, are ubiquitous throughout the animal kingdom. Animals can serve as models to study the evolutionary and ecological causes and consequences of personality in ways that are not possible in human psychology. For example, researchers interested in differences in boldness, aggression, and exploratory behavior have studied a fish, named the three-spined stickleback, that has a relatively short lifespan and is easy to care for. Previous studies have shown that different personalities of three-spined stickleback occur in different habitats and social environments in nature. The goal of this project is to determine 1) whether the personality of an individual is shaped by their environment, i.e. via plasticity; 2) if certain personalities consistently use certain environments over time (for example, if bold individuals always occur in large social groups); and 3) whether individuals tend to occur in environments for which they are well-suited. The project comprises an intensive laboratory-based experiment and a large-scale study of three-spined stickleback in their natural environment to provide a complete understanding of why some personalities are more likely to occur in certain habitats or social environments. This work has important implications for understanding why animals, including humans, show such marked variation in behavior that is consistent across time or context. This project provides ample training opportunities for undergraduates to become future scientists. The topic of the research, especially the field component, is highly accessible to a general audience and will be presented as science-in-action to local citizens and vacationers throughout the field season in rural Mendocino County, CA. <br/><br/>Data from this project will be made available in the Dryad Digital Repository (datadryad.org).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Florida State University,,United States,Dryad,Emily DuVal,2015-08-01,2022-07-31,,,2015,756675,USD,"756,675.00",nsf,,1453408,CAREER: Integrating Evolutionary and Mechanistic Investigation of Variation in Cooperation and Life History,"Cooperation is a key part of many complex animal societies, but even within close-knit groups some individuals cooperate more than others. We now know individuals may benefit from cooperation in several ways, but mechanisms underlying decisions to cooperate and variation in the amount of cooperation remain incompletely understood. The lance-tailed manakin provides an excellent opportunity to investigate why individuals vary in cooperative behavior, and how cooperative and non-cooperative behaviors coexist. Males of this tropical bird cooperate with non-relatives in coordinated courtship displays, but only dominant alphas mate. Some males serve long terms (6+ years) as non-breeding betas, while others become alphas without ever being betas. Both highly cooperative and non-cooperative males breed once alpha, but males cooperating for the average number of years have low alpha success. This project will assess the role of territory quality, genetic variability, phenotypic plasticity and bet-hedging strategies on beta male behavior. Undergraduate and graduate students and postdoctoral trainees will all be involved in lab and field work in the U.S. and Panama. This work integrates research and education by (1) implementing an international field course for undergraduates that combines involvement in long-term research with student-designed projects; (2) hosting three undergraduates for REU projects in Panama; (3) developing outreach exercises for 4th-6th graders; (4) publishing educational resources and establishing an associated webcam; and (5) establishing an educational display on the field site, visited by 8000-10,000 tourists/yr. <br/><br/>This project investigates mechanisms underlying behavioral variation in cooperation in the lance-tailed manakin. It assesses the role of ecological constraints, experimentally quantifying effects of territory quality on beta behavior, and tests three complementary hypotheses explaining the occurrence of disruptive selection: genetic variability, phenotypic plasticity, and bet-hedging in unpredictable environments. The project quantifies additive genetic variance in cooperation using animal models on behavioral histories of pedigreed males. Effects of individual phenotype on life history and cooperation are investigated by measuring the relationships of condition, stress responsiveness, and telomeres (repeated nucleotides on chromosome ends, implicated as bioindicators of physiological state). Measures of lifetime siring success will yield insights about whether cooperators reduce variance in lifetime reproductive output. The project will train one postdoctoral researcher, at least one graduate student, and 15 postgraduates in field, laboratory, and analytical techniques. This project provides insight into both the function of cooperation by delayed direct benefits and the forces underlying disruptive selection on behavioral phenotypes. All data from the study will be archived at the Florida State University, and metadata associated with publications will be archived on Dryad.org. Databases will furthermore be accessible through a data repository held at the Smithsonian developed as part of the Manakin Research Coordination Network.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Lehigh University,,United States,arXiv,Roberto Palmieri,2018-07-01,2022-06-30,,,2018,500000,USD,"500,000.00",nsf,,1814974,CSR: Small: Data Structure Designs and Implementations for Modern Multicore Architectures and Applications,"Data Structures are the conventional way to store data managed by applications and system software. Developing data structures that function correctly even in the presence of multiple simultaneous operations has been one of the most important topics in the last decade. This project moves research on data structures ahead by targeting the way these data structures interact with the underlying hardware infrastructure. The project proposes innovative software designs and features that allow data structure implementations to improve performance when deployed on modern servers equipped with hundreds of processors, and to meet new application necessities.<br/><br/>This project investigates data structure designs and implementations that exploit the hardware organization of modern multicore architectures, where memory is partitioned in multiple zones and each zone is subject to an access latency that is influenced by the source and destination zone (also known as Non-Uniform Memory Access, or NUMA, architectures), to improve application performance. The core intuition is to divide the data structure into independent layers, avoid synchronization across them, and distributed them among NUMA zones. The proposal identifies four research tasks, ranging from hardware optimizations to scalable bulk operations over the data within the data structures.<br/><br/>The outcomes of this project include delivering to programmers, industry, and academia a new open-source data structure library that scales its performance in modern multicore architectures and meets emerging application needs. The results of this research will provide a basis for a new module focused on data structures in a course that includes concurrency in its curriculum, and will influence the materials that will be included in a reference textbook on principles and best practices of concurrent programming. Findings of this project will enable new engagement with local communities and public schools to inspire next generation of practitioners.<br/><br/>Any data produced in the context of this project will be made available to the public and rigorously maintained throughout the duration of the project and beyond. Developed source code will initially be maintained in a private repository (Bitbucket), with periodic public deliverables. After the software becomes stable, it will transition to a public repository (Github) so that a larger open-source community can use and maintain it. Technical reports will be registered into arXiv.org. Published results will be made available at: http://www.cse.lehigh.edu/~palmieri/. The Github account for public code release is the following: ""https://github.com/robertopalmieri/dev"".<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Pennsylvania State Univ University Park,,United States,arXiv,Dongwon Lee,2021-05-01,2024-04-30,,,2021,312568,USD,"312,568.00",nsf,,2114824,EAGER: SaTC-EDU: A Framework for Developing Attributable Cybersecurity Case Studies,"Despite increasing awareness of the critical nature of cybersecurity, the cybersecurity workforce is currently insufficient to meet needs across the public, private, and academic sectors. The project will directly address the growing demand for cybersecurity professionals by increasing the number of effective cybersecurity learning materials available in a standardized and compatible format. These learning materials can then be widely adopted and used in training future members of the cybersecurity workforce. The proposed framework will also incentivize additional cybersecurity scholars to turn their research or teaching materials into case studies. These case studies will be attributable, which will expand societal and community impacts and also positively impact scholars’ research reputations via citations and thus enhance their academic progression.<br/><br/>In this project, the team proposes to develop a simple yet flexible framework named SAGA (Security Arxiv-Github-kAggle), where scholars can easily create cybersecurity case studies related to artificial intelligence (AI) and machine learning (ML). For example, these case studies might illustrate the use of machine learning to detect malicious activities in social media or detecting spam/phishing emails using classification. Furthermore, by adopting the notion of “citation” from the academic world and implementing it using three public platforms (arXiv, Github, Kaggle), the SAGA framework allows the developed case studies to be found easily and shared across the cybersecurity community and allows the authors of case studies to be appropriately recognized for their efforts. This attribution is intended to encourage scholars’ participation in creating and sharing such cybersecurity case studies. Finally, the project proposes to evaluate the effectiveness of the developed cybersecurity case studies in improving students’ learning of cybersecurity concepts and skills.<br/><br/>This project is supported by a special initiative of the Secure and Trustworthy Cyberspace (SaTC) program to foster new, previously unexplored, collaborations between the fields of cybersecurity, artificial intelligence, and education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Georgia Research Foundation Inc,,United States,Dryad,James Leebens-Mack,2015-04-01,2020-09-30,,,2015,1545134,USD,"1,545,134.00",nsf,,1444567,The Dogwood Genome Project: A Model for Woody Ornamental Genomics,"Dogwoods have long been cultivated for their showy flowers and fine-grained wood. Recently, the market value of dogwoods and related hydrangeas has increased as demand for woody ornamentals grows in the U.S. To advance the breeding potential of these economically and culturally important trees and shrubs, scientists can use genetics and advanced genomics to study critical agronomic traits such as flower characteristics, disease resistance and stress responses. New sequencing methods will be combined in this project to produce the first genome sequences for dogwoods and hydrangeas, allowing the research team to identify new markers and tools for breeding traits of interest. The team will study how some cultivars of flowering dogwood are resistant to damaging diseases such as powdery mildew. This information will be important to the nursery industry and will advance the broader understanding of how plant families have adapted and responded to diseases over time. The project will train students, teachers and breeders, and will reach out to the public by engaging citizen scientists to collect data on bud-break and flowering times for dogwoods in the U.S. <br/><br/>This project will generate a high-quality reference genome assembly and annotation for flowering dogwood (Cornus florida) cultivar Appalachian Spring. This resource, along with genome sequence and gene space assemblies for Asian kousa dogwood (C. kousa) and Hydrangea macrophylla, transcriptome atlases and high-density genetic markers, will provide a foundation for research and marker-assisted breeding for dogwoods, hydrangeas and other woody ornamentals. As members of the Cornales, dogwoods and hydrangea occupy a strategic position in the angiosperm phylogeny. Establishing sequences and analytical methods for the flowering dogwood genome will be an ideal catalyst for advancing comparative genomics across other angiosperm woody ornamentals, including members of the Asteraceae, Solanaceae and Convolvulaceae. In addition, the project will investigate the molecular basis of powdery mildew resistance through comparative analyses of mRNA and microRNA expression profiles in resistant and susceptible accessions of C. florida and C. kousa. All genome sequences and other data will be made available through the National Center of Biological Information (NCBI), the iPlant Collaborative http://www.iplantcollaborative.org and the Dryad Digital Repository http://datadryad.org.",,Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Duke University,,United States,Dryad,Todd Vision,2012-03-01,2015-12-31,,,2012,2403637,USD,"2,403,637.00",nsf,,1147166,ABI Development: Dryad: scalable and sustainable infrastructure for the publication of data,"Duke University, in collaboration with North Carolina State University and University of North Carolina Chapel Hill, is awarded a grant to enhance the services provided by Dryad (http://datadryad.org), a recently launched repository for data underlying the findings in the scholarly bioscience literature. Dryad is distinguished by the close association of data deposition with the process and business of scholarly publishing, and by using article publication as a model for how researchers can benefit from data sharing infrastructure. In a short time, dozens of journals have adopted Dryad as a mechanism for data archiving, and the repository is now at a point of transition to a sustainable organization that has the capacity to make thousands of new datasets each year openly available for reuse in perpetuity. Technical and organizational innovations supported by this award will enhance the Dryad's scalability and sustainability. The technical goals include: automation of metadata curation and preservation tasks; developing more efficient and scalable processes to integrate the manuscript submission processes of journals with the data submission process of Dryad; enhancing the features and usability of the deposition interface; and improving the machine and human interfaces for filtering, searching and accessing repository contents. Dryad?s business model will be refined through evaluation of the costs and benefits of data archiving and data reuse to stakeholders, and continued evaluation of Dryad's role with respect to the many emergent technologies in the world of publishing and data repositories. Dryad's sustainability will be addressed by implementing a nonprofit governance and revenue model that has been developed over the past three years by diverse stakeholders in the research, publishing, library and funder communities. <br/><br/>The Broader Impacts of Dryad stem from its potential to transform the way research data are communicated and preserved. The credibility and effectiveness of the research enterprise is due in large part to the social contract behind scholarly publishing. Researchers are incentivized to disclose their work to their peers in return for professional credit. In so doing, they also expose their findings to be confirmed or refuted, and enable other researchers to build upon their results. Dryad seeks to extend this social contract to research data by providing a model for how a disciplinary repository can incentivize researchers to disclose the data that is of the greatest value for scientific reuse, that associated with publications, and realize the manifold benefits of free access to scientific data in perpetuity. This award will provide resources for Dryad to to reach out to the next generation of researchers through educational initiatives and partnerships with the broader community. As new journal and funder mandates raise demand and expectations for data management, preservation, and dissemination services, Dryad - as a stable, community-governed organization - aims to be in a position to provide the necessary infrastructure, as well as provide a focused forum for participating journals, societies and publishers to take coordinated, and well-informed, steps toward improved policy and practice.<br/><br/><br/>_____________________________________________________________________________",,Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,University of North Carolina at Chapel Hill,,United States,Dryad,Todd Vision,2015-10-01,2017-02-28,,,2015,779209,USD,"779,209.00",nsf,,1612608,ABI Development: Dryad: scalable and sustainable infrastructure for the publication of data,"Duke University, in collaboration with North Carolina State University and University of North Carolina Chapel Hill, is awarded a grant to enhance the services provided by Dryad (http://datadryad.org), a recently launched repository for data underlying the findings in the scholarly bioscience literature. Dryad is distinguished by the close association of data deposition with the process and business of scholarly publishing, and by using article publication as a model for how researchers can benefit from data sharing infrastructure. In a short time, dozens of journals have adopted Dryad as a mechanism for data archiving, and the repository is now at a point of transition to a sustainable organization that has the capacity to make thousands of new datasets each year openly available for reuse in perpetuity. Technical and organizational innovations supported by this award will enhance the Dryad's scalability and sustainability. The technical goals include: automation of metadata curation and preservation tasks; developing more efficient and scalable processes to integrate the manuscript submission processes of journals with the data submission process of Dryad; enhancing the features and usability of the deposition interface; and improving the machine and human interfaces for filtering, searching and accessing repository contents. Dryad?s business model will be refined through evaluation of the costs and benefits of data archiving and data reuse to stakeholders, and continued evaluation of Dryad's role with respect to the many emergent technologies in the world of publishing and data repositories. Dryad's sustainability will be addressed by implementing a nonprofit governance and revenue model that has been developed over the past three years by diverse stakeholders in the research, publishing, library and funder communities. <br/><br/>The Broader Impacts of Dryad stem from its potential to transform the way research data are communicated and preserved. The credibility and effectiveness of the research enterprise is due in large part to the social contract behind scholarly publishing. Researchers are incentivized to disclose their work to their peers in return for professional credit. In so doing, they also expose their findings to be confirmed or refuted, and enable other researchers to build upon their results. Dryad seeks to extend this social contract to research data by providing a model for how a disciplinary repository can incentivize researchers to disclose the data that is of the greatest value for scientific reuse, that associated with publications, and realize the manifold benefits of free access to scientific data in perpetuity. This award will provide resources for Dryad to to reach out to the next generation of researchers through educational initiatives and partnerships with the broader community. As new journal and funder mandates raise demand and expectations for data management, preservation, and dissemination services, Dryad - as a stable, community-governed organization - aims to be in a position to provide the necessary infrastructure, as well as provide a focused forum for participating journals, societies and publishers to take coordinated, and well-informed, steps toward improved policy and practice.<br/><br/><br/>_____________________________________________________________________________",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Trustees of Boston University,,United States,Dryad,Karen Warkentin,2014-09-15,2022-08-31,,,2014,951144,USD,"951,144.00",nsf,,1354072,The Development of Adaptive Embryo Behavior,"Embryos of many species assess and respond to their environment in ways that matter for survival. Many features and challenges of embryonic life are broadly shared across animals, but frog eggs are particularly tractable to study. Structures such as egg capsules protect and constrain the embryo inside, creating a trade-off of costs and benefits. Upon hatching, animals enter a new environment, with both new dangers and resources. When to hatch is an essential decision embryos make, based on environmental cues. Hatching is also a physical feat that embryos must perform. The ability to assess cues, to exit the egg, and to survive outside the egg all change as embryos develop. Thus, under the same conditions, what embryos can do and what they should do to survive also changes. This project will examine how and why development changes behavior, using embryos of red-eyed treefrogs that hatch up to 40% prematurely to escape threats to the egg. It will assess the importance of maturation, adaptive changes in decisions matched to abilities, embryonic learning, and how embryos use two kinds of information; simple cues of oxygen availability and complex vibrations that can indicate predator attack. It will improve our understanding of embryo lives, behavioral development, and how animals use different kinds of information to make decisions, including broadly important but poorly understood vibrational information. The adaptive behavior of embryos is accessible and appealing, and thus ideal for scientific education and outreach. This project will offer interdisciplinary biology-engineering training for graduate and undergraduate students, as well as Neotropical research and cross-cultural experiences for US students and Latin American interns. The PIs will work with the media, museums, and zoos to disseminate results broadly. They will offer research experiences for teachers and develop online multimedia resources for educators at multiple levels. New methods and tools developed by this project will facilitate other research on embryo behavior and animal responses to vibrational cues. <br/><br/>This project is an integrative study of the development and regulation of environmentally cued hatching in red-eyed treefrogs, for which multiple selective trade-offs shaping hatching timing are known. Embryos use cues in at least two sensory modalities for their hatching decision. Older embryos hatch more readily, but even 30%-premature embryos sometimes hatch within seconds of a cue. This project will assess: I) how the speed and success of hatching change across effector development, focusing on hatching glands; II) how sensor development changes sensitivity to cues and cue properties, addressing developmental changes in mechanoreception by the inner ear and lateral line vs. more consistent, early developed, oxygen sensing; and III) how hatching decision rules for responses to simple hypoxia cues and complex vibrational, and potentially tactile, physical disturbance cues are shaped by developmentally changing trade-offs, a history of stage-specific selection, and the earlier experiences of embryos. The team will use (a) histology and microscopy to characterize morphological changes, (b) respirometry to assess metabolic changes, (c) measures of vestibulo-ocular reflexes to assess otic function, and (d) macro-videography to analyze embryo behavior and hatching performance. They will assess ontogenetic changes in hatching under controlled hypoxia, vibration playback, and predator attacks, and develop new playback methods for separating motion and tactile components of physical disturbance cues. Mechanosensory stimuli and hypoxia are common cues for hatching across taxa. Moreover, vibrational signals and cues inform behavior in many other contexts, later in life, and oxygen availability shapes the behavior of many aquatic animals. Results from red-eyed treefrog embryos will advance our understanding of behavioral development and animal information use more broadly. Datasets will be deposited in DRYAD. Outreach materials, including images and video, will be posted on Warkentin's lab website or contributed to the Encyclopedia of Life or National Association of Biology Teachers web resource page.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Virginia Polytechnic Institute and State University,,United States,Dryad,Jason Holliday,2011-02-01,2017-01-31,,,2011,1554864,USD,"1,554,864.00",nsf,,1054444,CAREER: Integrating Whole-Genome Association Mapping and Landscape Genomics to Understand Climatic Adaptation in Populus,"Endodormancy is a hallmark of woody perennial plants of the temperate and boreal regions that enables above ground meristems to survive the freezing and dehydration stresses of winter. This project takes a population genomics approach to dissect the genomic basis for endodormancy transitions and cold hardiness in Populus. A recently developed technology for genome complexity reduction will be used to pursue this goal on a genome-wide scale, and collaboration with groups working in related poplar species will facilitate comparative analysis of adaptation. Sequence capture technology will be employed to retrieve exons and upstream regulatory sequences for all expressed genes in Populus trichocarpa (black cottonwood), and captured targets will be sequenced in a large black cottonwood mapping population that spans most of the species range. Genotype-phenotype associations will be sought with three phenotypic traits, namely, timing of budset, timing of budflush, and cold hardiness. Associations will also be sought with climate variables that represent the principle selective constraint related to these traits. Positive associations will be validated in a separate cohort of poplar clones, and using data provided by collaborators, the extent of overlap in adaptive loci in both Populus tremuloides (trembling aspen) and Populus deltoides (eastern cottonwood) will be determined. A web-based bioinformatic resource will be developed to disseminate sequence data, SNP data, and SNP associations. This work will provide by far the most comprehensive picture to date of the genomic basis for local adaptation to climate in a tree species. In addition to answering long standing questions in evolutionary ecology about the genomic architecture of adaptation, this work will provide a link to practical breeding applications that can exploit naturally occurring ecologically-relevant genetic variation for tree improvement in a changing climate. <br/><br/>Forest tree populations are well adapted to their local environments at present, but climate change is substantially altering adaptive landscapes, and is expected to lead to widespread maladaptation of tree populations to their seasonal temperature regimes. Adapting management strategies to account for these changes depends crucially on an understanding of the genomic architecture of adaptive traits. By integrating molecular biology, bioinformatics, and population genomics, this project will substantially advance this goal, while providing interdisciplinary education and training at various levels (undergraduate, graduate and postdoctoral). Research personnel associated with this project will develop investigative field workshops for students and landowners in collaboration with Virginia's Link to Education about Forestry (LEAF) program. Field trials will be used to host these outdoor LEAF learning workshops, through which landowners, practitioners, and local students will explore the relationship between climatic adaptation and seed sources, as well as the potential impacts of climate change on forest productivity. In addition, publicaly available web-based modules complimentary to the field experiences workshop will be developed. Sequence data will be deposited at GenBank, dbSNP at NCBI, and genotype-phenotype data at Data Dryad (www.datadryad.org).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,CUNY Hunter College,,United States,arXiv,Saptarshi Debroy,2020-10-01,2025-09-30,,,2020,413408,USD,"413,408.00",nsf,,1943338,CAREER: Anahita: A Resilient and Agile Fog Framework for Large-scale Disaster Incidence Response,"Fog computing is distinguished from Cloud computing by not using resources contained in large remote data centers, but instead leveraging computation, storage, and network resources that are available as close to the user as possible. These computation resources may be, for example, a part of the communications network (Edge resources) that the user is connected to, rather than using that network simply to connect to the Cloud. For rapid situational awareness to first responders during large-scale disaster incidence response, Fog computing-based response systems can be more effective than Cloud-based systems because of this proximity. However, design of effective Fog-based systems for disaster response is non-trivial as generic Fog computing methods and models assume Cloud-like environment which cannot be applied for disaster scenarios. This project proposes fundamental research, design, and development of a Fog framework that is novel in tackling the unique challenges of Fog resource management for disaster incidence response. These will benefit: 1) disaster management efforts by the first responders, 2) incident response management planning and policy makers, 3) cloud, cyber infrastructure, network management, and future Internet research communities, and 4) faculty and students in cloud and network management classrooms and labs. The educational activities will help motivate and train students at Hunter College and The City University of New York (CUNY) to pursue computer science where the student body predominantly consists of women and first-generation college students.<br/><br/>The proposed Fog framework will be resilient against an unpredictable system environment and agile in provisioning resources for mission-critical and real-time applications. The project will use a novel sociological based organizational theory for emergency management inspired schema to characterize the fluctuations and their impact as adversarial and trust models. Using adversarial queuing theory, the project will shift the paradigm from traditional long-term cloud and edge resource optimization towards transient fog utility optimization under challenged environments. At the same time, the project will generate genetic algorithms and deep learning algorithms that aim to optimize fluctuation avoidance without compromising limited fog resources. The outcomes of such optimizations in terms of algorithms will be implemented through design and development of a software-defined fog architecture with unified resource broker services.<br/><br/>The data generated in this project will initially be stored in the CUNY Institute CoSSMO data storage computer, and, after publication of the results, will be made available through digital repositories such as FigShare.com and drum.lib.edu. The project related algorithms and software tools will, after publication, be made available under an open source license on GitHub.com. The proposed Fog testbed will be made available to the broader cloud research community through integration with NSF supported COSMOS testbed. Published scholarly articles will be made available through web repositories such as arXiv.org. All project related resources can be access via project website:http://www.cs.hunter.cuny.edu/~S.Debroy99/projects-disaster.html.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Florida State University,,United States,Dryad,Kimberly Hughes,2013-09-01,2019-08-31,,,2013,451000,USD,"451,000.00",nsf,,1257735,Social interactions and the maintenance of genetic polymorphism,"For decades biologists have struggled to determine whether and when individual behavior is influenced more by ""nature"" (genes) or ""nurture"" (social environment). While both are known to matter, emerging research suggests that ""nature"" and ""nurture"" are actually complex phenomena that are frequently difficult to disentangle. This question becomes even more complex when individuals are part of a social group. Therefore the goal of this project is to understand how social groups behave toward individuals with different sets of genes and how individuals with different genes might respond differently to the same social cues. One way to make this problem more tractable is to use tightly controlled experiments with an animal species in which specific behavioral differences are regulated by a single gene. The proposed research will use two genetically determined color forms of male mosquitofish that differ in the amount of aggression they display toward other members of their group. The experiments will determine how group composition affects the behavior of juvenile and adult fish. The studies will answer critical questions of the interaction between individuals and groups, such as how does living in a ""high aggression"" group affect the health and behavior of a juvenile fish, and does any effect of ""high"" vs. ""low"" aggression depend on the juvenile's own genetic makeup or is it regulated primarily by the social environment? <br/><br/>Upon publication data will be stored and available on DRYAD (datadryad.org. Results of these experiments will be broadly useful in understanding the factors that influence aggression and other social behavior in animals, including humans. In addition, the project will stimulate teaching and learning, increase research opportunities for students from underrepresented groups, and contribute to public understanding of science. The project will support the training of one female Ph.D. student, and will involve undergraduates from under-represented groups. The investigators will also develop a workshop on animal social behavior and genetics for Florida secondary school teachers as part of a funded ""BioScopes"" project. The workshop will consist of lectures and ""hands-on"" activities that can be adapted to the teachers' classrooms.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Montana,,United States,Dryad,Douglas Emlen,2015-05-15,2020-04-30,,,2015,712000,USD,"712,000.00",nsf,,1456133,Collaborative Research: The Evolution of Extreme Trait Size,"From the horns of Hercules beetles to antlers of elk, intense selection arising from competition for access to reproduction has driven the evolution of extreme animal weapons. Extreme weapons often evolve faster than other body parts, and they tend to be more diverse among species than other body parts. Yet few studies have directly measured selection on weapons in natural populations, and almost nothing is known about the genes and developmental pathways responsible for rapid weapon evolution. This project capitalizes on populations of rhinoceros beetle that differ dramatically in the relative size of a weapon, a ""pitchfork"" horn projecting from the heads of males. By rigorously studying beetle behavior in divergent populations, the investigators will test whether local differences in the intensity of selection have driven rapid, recent evolutionary changes in weapon size. Studies of the distribution of relevant genes in these populations of beetles, along with identification of additional genes associated with these extreme traits and their location within the genome will further our understanding of the genetic basis of weapon evolution, building on a decade of prior research by these investigators and their collaborators on the developmental mechanisms regulating horn growth in this species. This project will train post-doctoral, graduate, and undergraduate students, expand an international collaboration with research labs in Japan, and contribute both regionally and nationally to high school science education and public knowledge of evolutionary biology and animal behavior. <br/><br/>Specifically, the PIs will combine QTL and divergence mapping approaches to screen for genes associated with increased weapon size (AIM 1); contrast gene expression in proliferating horn tissues of beetles from recently diverged short- and long-horned populations, identifying candidate genes and transcripts that are differentially expressed, and then investigating their function in the evolution of this weapon (AIM 2); and they will use field studies of behavior to compare the intensity of selection on horns in divergent populations (AIM 3). This study will impact society through education and outreach by (1) establishing a pipeline for undergraduate researchers from Gonzaga University to work at Washington State University and the University of Montana, (2) engaging a high school biology teacher in an authentic research project, (3) contributing to displays and student docent volunteer training at the new Missoula Butterfly House and (4) developing Process Oriented Guided Inquiry Learning (POGIL) activities targeted to high school biology students. Data will be deposited and available in the Dryad repository (http://datadryad.org), and at Traces (http://trace.ncbi.nlm.nih.gov/Traces/sra/), NCBI GEO (http://www.ncbi.nlm.nih.gov/geo/info/seq.html), and GenBank (http://www.ncbi.nlm.nih.gov/genbank/tsa/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Washington State University,,United States,Dryad,Laura Lavine,2015-05-15,2020-04-30,,,2015,520000,USD,"520,000.00",nsf,,1456731,Collaborative Research: The Evolution of Extreme Trait Size,"From the horns of Hercules beetles to antlers of elk, intense selection arising from competition for access to reproduction has driven the evolution of extreme animal weapons. Extreme weapons often evolve faster than other body parts, and they tend to be more diverse among species than other body parts. Yet few studies have directly measured selection on weapons in natural populations, and almost nothing is known about the genes and developmental pathways responsible for rapid weapon evolution. This project capitalizes on populations of rhinoceros beetle that differ dramatically in the relative size of a weapon, a ""pitchfork"" horn projecting from the heads of males. By rigorously studying beetle behavior in divergent populations, the investigators will test whether local differences in the intensity of selection have driven rapid, recent evolutionary changes in weapon size. Studies of the distribution of relevant genes in these populations of beetles, along with identification of additional genes associated with these extreme traits and their location within the genome will further our understanding of the genetic basis of weapon evolution, building on a decade of prior research by these investigators and their collaborators on the developmental mechanisms regulating horn growth in this species. This project will train post-doctoral, graduate, and undergraduate students, expand an international collaboration with research labs in Japan, and contribute both regionally and nationally to high school science education and public knowledge of evolutionary biology and animal behavior. <br/><br/>Specifically, the PIs will combine QTL and divergence mapping approaches to screen for genes associated with increased weapon size (AIM 1); contrast gene expression in proliferating horn tissues of beetles from recently diverged short- and long-horned populations, identifying candidate genes and transcripts that are differentially expressed, and then investigating their function in the evolution of this weapon (AIM 2); and they will use field studies of behavior to compare the intensity of selection on horns in divergent populations (AIM 3). This study will impact society through education and outreach by (1) establishing a pipeline for undergraduate researchers from Gonzaga University to work at Washington State University and the University of Montana, (2) engaging a high school biology teacher in an authentic research project, (3) contributing to displays and student docent volunteer training at the new Missoula Butterfly House and (4) developing Process Oriented Guided Inquiry Learning (POGIL) activities targeted to high school biology students. Data will be deposited and available in the Dryad repository (http://datadryad.org), and at Traces (http://trace.ncbi.nlm.nih.gov/Traces/sra/), NCBI GEO (http://www.ncbi.nlm.nih.gov/geo/info/seq.html), and GenBank (http://www.ncbi.nlm.nih.gov/genbank/tsa/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Arizona State University,,United States,Dryad,Jon Harrison,2013-09-01,2018-08-31,,,2013,638855,USD,"638,855.00",nsf,,1256745,Collaborative Research: Is hypoxia a critical cue for molting in Drosphila?,"How do animals decide when to stop growing and become adults? Body size profoundly affects many aspects of animal biology, yet the mechanisms by which animals determine their adult size remain among the fundamental unsolved problems of developmental biology. Holometabolous insects - the primary model for the study of size regulation in animals - do not grow as adults, so the size at which larvae initiate metamorphosis determines their adult size. A recent prominent hypothesis is that ""the proximate mechanism setting limits to size during [larval] development is probably the onset of cellular hypoxia"", presumably due to oxygen demand outstripping supply capacity. This research will test the role of oxygen in determination of adult body size in the fruit fly, Drosophila melanogaster, by examining the effect of manipulation of atmospheric oxygen levels on growth, timing of metamorphosis, and neuroendocrine function. In addition, epigenetic analyses will be conducted to test the role of candidate signaling pathways by which oxygen sensing might control developmental timing and body size.<br/><br/>Understanding how body size is determined is a fundamental question of biology because body size affects so many aspects of physiology, ecology and evolution. Body size strongly affects food requirements, competitive and reproductive capacities, value as a resource, drug clearance rates, and stress-tolerance of an animal. Yet, the mechanisms involved in determining when animals switch from the growing juvenile form to the reproductive adult form are not well-understood for any animal. In addition to providing new information on this topic that may be general for animals, this research with Drosophila may have specific applications relevant to insect control for agriculture and disease-prevention. This research will contribute to science training by funding research experiences for undergraduate, graduate and postdoctoral trainees. Finally, this project will support secondary education by development of an on-line biology laboratory and outreach to a local bioscience-focused high school. Results from this project will also be disseminated through peer reviewed publications and presentations at regional or national scientific meetings. Data associated with each publication will be posted on Dryad (www.datadryad.org).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Lake Forest College,,United States,Dryad,Alexander Shingleton,2013-10-01,2017-08-31,,,2013,326272,USD,"326,272.00",nsf,,1406547,Collaborative Research: Is hypoxia a critical cue for molting in Drosophila?,"How do animals decide when to stop growing and become adults? Body size profoundly affects many aspects of animal biology, yet the mechanisms by which animals determine their adult size remain among the fundamental unsolved problems of developmental biology. Holometabolous insects - the primary model for the study of size regulation in animals - do not grow as adults, so the size at which larvae initiate metamorphosis determines their adult size. A recent prominent hypothesis is that ""the proximate mechanism setting limits to size during [larval] development is probably the onset of cellular hypoxia"", presumably due to oxygen demand outstripping supply capacity. This research will test the role of oxygen in determination of adult body size in the fruit fly, Drosophila melanogaster, by examining the effect of manipulation of atmospheric oxygen levels on growth, timing of metamorphosis, and neuroendocrine function. In addition, epigenetic analyses will be conducted to test the role of candidate signaling pathways by which oxygen sensing might control developmental timing and body size.<br/><br/>Understanding how body size is determined is a fundamental question of biology because body size affects so many aspects of physiology, ecology and evolution. Body size strongly affects food requirements, competitive and reproductive capacities, value as a resource, drug clearance rates, and stress-tolerance of an animal. Yet, the mechanisms involved in determining when animals switch from the growing juvenile form to the reproductive adult form are not well-understood for any animal. In addition to providing new information on this topic that may be general for animals, this research with Drosophila may have specific applications relevant to insect control for agriculture and disease-prevention. This research will contribute to science training by funding research experiences for undergraduate, graduate and postdoctoral trainees. Finally, this project will support secondary education by development of an on-line biology laboratory and outreach to a local bioscience-focused high school. Results from this project will also be disseminated through peer reviewed publications and presentations at regional or national scientific meetings. Data associated with each publication will be posted on Dryad (www.datadryad.org).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Michigan State University,,United States,Dryad,Alexander Shingleton,2013-09-01,2013-12-31,,,2013,100000,USD,"100,000.00",nsf,,1256565,Collaborative Research: Is hypoxia a critical cue for molting in Drosophila?,"How do animals decide when to stop growing and become adults? Body size profoundly affects many aspects of animal biology, yet the mechanisms by which animals determine their adult size remain among the fundamental unsolved problems of developmental biology. Holometabolous insects - the primary model for the study of size regulation in animals - do not grow as adults, so the size at which larvae initiate metamorphosis determines their adult size. A recent prominent hypothesis is that ""the proximate mechanism setting limits to size during [larval] development is probably the onset of cellular hypoxia"", presumably due to oxygen demand outstripping supply capacity. This research will test the role of oxygen in determination of adult body size in the fruit fly, Drosophila melanogaster, by examining the effect of manipulation of atmospheric oxygen levels on growth, timing of metamorphosis, and neuroendocrine function. In addition, epigenetic analyses will be conducted to test the role of candidate signaling pathways by which oxygen sensing might control developmental timing and body size.<br/><br/>Understanding how body size is determined is a fundamental question of biology because body size affects so many aspects of physiology, ecology and evolution. Body size strongly affects food requirements, competitive and reproductive capacities, value as a resource, drug clearance rates, and stress-tolerance of an animal. Yet, the mechanisms involved in determining when animals switch from the growing juvenile form to the reproductive adult form are not well-understood for any animal. In addition to providing new information on this topic that may be general for animals, this research with Drosophila may have specific applications relevant to insect control for agriculture and disease-prevention. This research will contribute to science training by funding research experiences for undergraduate, graduate and postdoctoral trainees. Finally, this project will support secondary education by development of an on-line biology laboratory and outreach to a local bioscience-focused high school. Results from this project will also be disseminated through peer reviewed publications and presentations at regional or national scientific meetings. Data associated with each publication will be posted on Dryad (www.datadryad.org).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Duke University,,United States,Dryad,Susan Alberts,2015-08-01,2021-07-31,,,2015,449980,USD,"449,980.00",nsf,,1456832,LTREB Renewal: Life History and Behavior in a Primate Hybrid Zone,"Hybridization (genetic mixing between two adjacent species) occurs in many animal and plant species, and is among the most important sources of new gene combinations and new traits in natural populations. Most studies describe hybridization at the population level, rather than describing how hybridization affects individuals. Understanding how hybridization affects individuals will reveal the processes that determine whether genes from one species permanently mix with those of another, or whether this mixing is limited to one or a few generations. Using a wild population of baboons in southern Kenya, this research will provide a detailed description of how hybridization affects individuals. As such, it will be an important model for similar processes in many other organisms, including ancestral humans (who are known to have hybridized with Neanderthals and, before that, with other members of the human lineage). The research involves an international team with substantial participation by women and underrepresented minorities. The team will also contribute teaching modules for middle schools and conduct numerous public outreach activities discussing baboon behavior.<br/><br/>In the first five years of the LTREB project, the Principal Investigator measured the effects of hybridization on a suite of traits that could limit or enhance genetic introgression. The objective of this renewal is to expand this suite of traits, using methods or data that require the longer time horizon afforded by the LTREB mechanism. The specific aims are to (i) identify the sources of the admixture-by-sex interaction previously documented in the maturation schedules of wild baboons, (ii) measure the contribution of genetic admixture to social behaviors that predict male reproductive success, (iii) measure the contribution of genetic admixture to social behaviors that predict female reproductive performance, and (iv) measure the contribution of genetic admixture to social behaviors that predict female lifespan. The proposed work will produce an exceptionally detailed study of the effects of admixture on fitness-related traits in a naturally hybridizing mammal population, which in turn will help shape future hypotheses about mechanisms promoting or inhibiting genetic introgression during hybridization in other species. The data for this project will be stored on a web-accessible PostGreSQL database. A detailed description of the standards for data and metadata can be found in publicly available documents with links at the Amboseli Baboon Research Project website (https://amboselibaboons.nd.edu/ ). All datasets underlying published papers are deposited in the public Dryad Data Repository.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,North Carolina State University,,United States,arXiv,Subhashis Ghoshal,2019-08-01,2023-07-31,,,2019,200000,USD,"200,000.00",nsf,,1916419,Optimal Bayesian Inference Under Shape Restrictions,"In many contexts of statistical modeling, the shape of a function used in modeling plays a key role. Prominent examples are increasing trend of the Arctic ice sheet melting and the rising sea levels under climate change. Many inverse problems such as deconvolution, or estimation under censoring also lead to shape restrictions on the concerned functions. While estimating these quantities and quantifying the uncertainty in their inference, such shape restrictions should be taken into consideration. Testing for an increasing trend or a similar shape restriction is also important for validating a theory leading to such a shape restriction. In this project, Bayesian methods, which combine prior information and observed data to make an inference, will be developed in the context of shape-restricted models. The results will be applied in various fields of interest. The proposed research, apart from developing new ideas, methods and computational techniques for answering related mathematical questions, will provide a significant impact on making decisions in various application such as climate change, tumor size monitoring, and censored data. Research findings will be disseminated through arXiv preprints, journal publications, talks in conferences and various institutions, and through special topics courses. The software will be developed and distributed for free through CRAN and PI's website. The PI is highly committed to doctoral student advising and promoting diversity, especially from women and underrepresented groups. Twenty-six doctoral students already graduated and four are currently working with him. The PI's NSF grants also supported his doctoral students to travel to conferences. The PI also has the track record of promoting the representation of women and minorities through the conference support grants he obtained. In total 21 female researchers and 4 from under-represented groups and many young U.S. participants were supported. The PI will continue promoting diversity in research related to this proposal. The graduate student support will be used on shape-restricted inference research and on writing computer codes for the resulting formulae. <br/> <br/>Shape restricted inference has been studied well from the maximum likelihood perspective, but Bayesian methods have been less developed. In the Bayesian approach, additional information in the form of the qualitative shape restriction may be naturally blended in the prior. Uncertainty in the concerned functions can be quantified by Bayesian credible regions, which are relatively easy to obtain from posterior sampling. The frequentist coverage of such sets is important to know. In this proposal, a new computationally advantageous Bayesian approach based on a ``projection posterior'' will be adopted, which will also be easier to analyze theoretically. Suitable priors for shape restricted inference such as those obtained from step functions and B-splines series will be developed for both univariate and multivariate shape restrictions, and the projection posterior will be studied. Local and global posterior contraction rates will be established. Asymptotic frequentist coverage of Bayesian credible intervals for a regression or density function at a point under monotonicity or other shape constraints will be obtained. A recalibration step will be used to adjust the coverage to meet a targeted value. Asymptotically optimal and computationally advantageous Bayesian tests for shape restrictions will be developed. Results will be extended to other types of univariate shape restrictions like convexity or log-concavity and to multivariate monotonicity and convexity settings in regression, density estimation, and survival analysis. The methods developed will be applied in diverse contexts including climate change and medical data. The proposed research may open up a completely new path for the Bayesian approach in shape-restricted inference and reconcile Bayesian and frequentist uncertainty quantification under shape restriction and may serve as a seed for further development in the years to come.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Riverside,,United States,Dryad,Derek Roff,2014-02-01,2017-12-31,,,2014,550000,USD,"550,000.00",nsf,,1353463,"Assessing the impact of mate choice on genetic architecture and testing the ""good genes"" model","In many organisms, humans included, one or both genders are able to exercise choice among potential mates. Mates are typically chosen based upon particular traits and these are often exaggerated in the chosen individuals. Such preferential mating is expected to generate an association between the genes underlying the preference and the genes underlying the preferred trait. Over time, continued selection on the preferred trait is also expected to reduce its genetic variability. PIs Roff and Fairbairn develop theory that predicts the strength of the genetic association between the preference and the preferred trait and explains how genetic variation in the preferred trait may be maintained within such mating systems. To test this theory the PIs will measure the genetic variances of female preferences and male calling song parameters in sand crickets over ten generations of laboratory evolution. Crickets are excellent subjects these studies because females choose males based on song characteristics that can be readily quantified in the laboratory. The key test will be comparisons among populations in which females mate (i) according to their preferences, (ii) with randomly selected males, or (iii) with non-preferred males. These comparisons will also be used to test the hypothesis that male song is a reliable signal of male genetic quality and hence enables females to choose males that have ""good"" genes. This research tests fundamental theory for the evolution of mate choice and breaks new ground in revealing the genetic underpinnings of exaggerated sexual display traits. In addition, the PIs will use their experimental, mate choice protocol as an instructional tool for illustrating the concepts of sexual selection and adaptive evolution. In collaboration with local high school teachers and using resources and materials provided by this grant, they will develop educational modules and participate in transferring these to local classrooms. <br/><br/>DATA MANAGEMENT<br/>This project will generate two types of data, informational data in the form of measurements and object data in the form of preserved specimens. The former types of data will be made available to the general scientific community by submission to the Dryad repository (datadryad.org) as the results of the research become published. The preserved specimens will be retained for future analysis.",,Repository service,,,"Repository service, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Virginia Polytechnic Institute and State University,,United States,arXiv,Thomas Crawford,2020-05-01,2021-04-30,,,2020,200000,USD,"200,000.00",nsf,,2029322,RAPID: MolSSI COVID-19 Biomolecular Simulation Data and Algorithm Consortium,"In response to the growing COVID-19 pandemic, the Molecular Sciences Software Institute (MolSSI) will leverage its position as a neutral commodity resource to help the global computational molecular sciences community quickly provide their scientific data and expertise to address the COVID-19 crisis. The MolSSI is jointly supported by the Office of Advanced Cyberinfrastructure and the Divisions of Chemistry and Materials Research. The centerpieces of this engagement will be (1) a centralized repository for simulation-related data targeting the virus and host proteins and potential pharmaceuticals, and (2) a select set of MolSSI Software Seed Fellowships for Ph.D. students and postdocs targeting COVID-19 related software tools that operate on the data developed in the repository. These two components will enable the biomolecular simulation community to share and utilize key data and other resources to help identify the structural and dynamic characteristics of the host-virus complex to generate potential leads for therapeutics. Although this project is intended to address the acute COVID-19 crisis, in the near term, it also will impact research communities and the next generation of computational molecular scientists in the confrontation and proactive resolution of future world problems.<br/><br/>The MolSSI will create and curate a large-scale repository containing: simulation input files (structures, configurations, scripts, Jupyter notebooks) in an organized structure; MD trajectories, analysis tools, and ready models for drug discovery; pointers to preprint servers such as arXiv, bioRxiv, and ChemRxiv on biomolecular simulation research in regards SARS-CoV-2; and DOI services that create citable data. In addition, it will engage the molecular sciences community through a set of Software Fellowships for graduate student and postdocs to carry out software development, such as large-scale MD simulations, design of drug discovery tools such as docking, machine learning for small molecule toxicity predictions, and methods for determining whether new drugs are bioavailable or can be synthesized. Collectively, these resources will speed the identification and development of leads for antiviral drugs, analyzing structural effects of genetic variation in the SARS-CoV-2 virus, and inhibitors that can disrupt protein-protein interactions to viral entry into cells and adherence to surfaces that cause disease spread.<br/><br/>This award is being funded by the CARES Act supplemental funds allocated to CISE and MPS.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Houston,,United States,Dryad,Blaine Cole,2012-05-01,2019-04-30,,,2012,431281,USD,"431,281.00",nsf,,1147418,LTREB: Sources of Variation in Lifetime Fitness of Harvester Ants,"Individuals differ in how well they survive, grow and reproduce, but the reasons for these differences are not well understood. Previous work has shown that either the intrinsic quality of the individual, the quality of the environment in which they were raised, the quality of the environment that they inhabit, or the social environment, may affect an individual's success. No study has examined the relative importance of all these factors within a single species. The central aim of this study is to elucidate the reason for differences in the performance of individuals in nature by manipulating all of these factors simultaneously. Molecular genetic characterization of individuals will be combined with large scale field experiments to test the magnitude of these factors in the ant model system, Pogonomyrmex occidentalis. The results of these experiments will be combined with an ongoing twenty-year study of the population biology of this species to provide a comprehensive measure of the determinants of individual success. This work will contribute to the development of biological infrastructure and to student training. The project will involve undergraduate students from underrepresented groups in scientific research and will provide mentoring to encourage their continuation in science, technology and engineering careers post graduation. The data from this study will be made available through Dryad (datadryad.org) and the Knowledge Network for Biocomplexity (knb.ecoinformatics.org).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Pennsylvania State Univ University Park,,United States,Dryad,Daniel Allen,2021-11-15,2024-06-30,,,2021,326564,USD,"326,564.00",nsf,,2207232,RCN: Intermittent River Research Coordination Network (IRRCN): Integrating Intermittent River Ecology and Hydrology,"Life is simply different in the absence of water, especially for life in rivers and streams. Yet half of the Earth's rivers dry or stop flowing each year. These streams or rivers are called ""intermittent."" Intermittent rivers are not well studied or understood by researchers studying river ecology or river hydrology. Initial research shows the hydrology and ecology of intermittent rivers are very different from rivers that always flow. The current scientific understanding and concepts of streams and rivers is incomplete as it is biased towards the half of the Earth's rivers that continuously flow. The Intermittent River Research Coordination Network (IR-RCN) will organize a series of expert workgroups that will synthesize the growing body of research on intermittent river hydrology and ecology. These workgroups will produce generalized frameworks that can explain how intermittent river hydrologic and ecologic systems work. This research is important because intermittent rivers are often overlooked or excluded from water management plans due to uncertainty about their hydrologic and ecological importance. Graduate students will receive interdisciplinary training in hydrology and ecology and network with intermittent river ecologists and hydrologists across the globe.<br/><br/>Funds will be provided by this award to form three workgroups on intermittent river hydrology, ecology, and ecohydrology. The hydrology workgroup will seek to generate new tools to characterize intermittent river flow regimes, develop a hierarchical scale-based framework for predicting spatial intermittence patterns, and compare statistical and processed-based models for prediction of intermittent river streamflow metrics. The ecology workgroup will synthesize large scale intermittent river biodiversity and ecosystem datasets to better understand the structure and function of intermittent river ecosystems. The ecohydrology workgroup will integrate products from the ecology and hydrology workgroups to identify hydrologic controls on intermittent river ecosystems and integrate these findings into our current river conceptual frameworks designed for rivers that always flow. The IR-RCN will improve the management of intermittent rivers by enhancing communication and networking among academic researchers and nonacademic stakeholders, including government agencies and NGOs. Datasets, methods, materials and projects produced by the IR-RCN will be made open access on the IR-RCN web portal and deposited in the Dryad Digital Repository for long-term availability, which will broadly impact the global scientific community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Oklahoma Norman Campus,,United States,Dryad,Daniel Allen,2018-07-01,2021-12-31,,,2018,499955,USD,"499,955.00",nsf,,1754389,RCN: Intermittent River Research Coordination Network (IRRCN): Integrating Intermittent River Ecology and Hydrology,"Life is simply different in the absence of water, especially for life in rivers and streams. Yet half of the Earth's rivers dry or stop flowing each year. These streams or rivers are called ""intermittent."" Intermittent rivers are not well studied or understood by researchers studying river ecology or river hydrology. Initial research shows the hydrology and ecology of intermittent rivers are very different from rivers that always flow. The current scientific understanding and concepts of streams and rivers is incomplete as it is biased towards the half of the Earth's rivers that continuously flow. The Intermittent River Research Coordination Network (IR-RCN) will organize a series of expert workgroups that will synthesize the growing body of research on intermittent river hydrology and ecology. These workgroups will produce generalized frameworks that can explain how intermittent river hydrologic and ecologic systems work. This research is important because intermittent rivers are often overlooked or excluded from water management plans due to uncertainty about their hydrologic and ecological importance. Graduate students will receive interdisciplinary training in hydrology and ecology and network with intermittent river ecologists and hydrologists across the globe.<br/><br/>Funds will be provided by this award to form three workgroups on intermittent river hydrology, ecology, and ecohydrology. The hydrology workgroup will seek to generate new tools to characterize intermittent river flow regimes, develop a hierarchical scale-based framework for predicting spatial intermittence patterns, and compare statistical and processed-based models for prediction of intermittent river streamflow metrics. The ecology workgroup will synthesize large scale intermittent river biodiversity and ecosystem datasets to better understand the structure and function of intermittent river ecosystems. The ecohydrology workgroup will integrate products from the ecology and hydrology workgroups to identify hydrologic controls on intermittent river ecosystems and integrate these findings into our current river conceptual frameworks designed for rivers that always flow. The IR-RCN will improve the management of intermittent rivers by enhancing communication and networking among academic researchers and nonacademic stakeholders, including government agencies and NGOs. Datasets, methods, materials and projects produced by the IR-RCN will be made open access on the IR-RCN web portal and deposited in the Dryad Digital Repository for long-term availability, which will broadly impact the global scientific community.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Georgia Research Foundation Inc,,United States,Dryad,Sonia Altizer,2014-07-01,2016-06-30,,,2014,16964,USD,"16,964.00",nsf,,1406695,DISSERTATION RESEARCH: Migratory trade-offs: Immune defense balanced against reproductive and movement behaviors,"Major activities require the use of large amounts of energy and commitment of individual resources. At the same time animals need to be able to respond to the challenges of possible disease and infection. The research will use the monarch butterfly, which makes two major yearly migrations to determine how energy extensive events like migration impact the ability of the immune system to respond to challenges. Monarch butterflies (Danaus plexippus) are iconic insects that undergo one of the longest distance two-way migrations of any insect species in the world, traveling from as far North as Canada to overwintering sites in Central Mexico each year. Using monarchs as a model, this project will investigate the effects of movement and reproduction on immunity throughout the course of the annual migratory cycle. Because of their long journeys and coverage of diverse habitats, migratory animals have far-reaching implications for the spread of infectious diseases, and can harbor pathogens of known human health risks such as West Nile virus, avian influenza virus and Ebola virus. This project will help provide a framework for determining the points along their annual cycles that migratory species might be most vulnerable to infectious diseases. <br/><br/>This dissertation project has previously established that immune defense in monarchs is resource-limited, trades-off against growth, and is associated with migratory distances in the wild. The study proposed here will experimentally manipulate reproduction and flight to measure their independent consequences for components of monarch immune defense. One experiment will manipulate reproductive diapause (a precursor to migration) to examine whether reproductive maturity alone lowers host defenses, or if animals must actively reproduce to experience these costs. A second experiment will mimic active flight in monarchs and measure resulting changes in immune defense for both reproductive and non-reproductive adults. In combination, these studies will help identify factors that underlie immune variation in this and other migratory species. This interdisciplinary project draws on concepts and methods from animal behavior, physiology, ecology and immunology. The physiological and behavioral mechanisms of migration remain under active study owing in part to recent advances in tracking mobile species over long distances. Using an experimentally tractable species, this work will advance general understanding of how immune defense can change throughout the annual migratory cycle and how this depends on competing demands of movement and reproduction.<br/><br/>Data storage and sharing:<br/>Data will be stored on an external storage device as well as a secure server space in the Odum School of Ecology. In addition, UGA libraries maintain an institutional repository for data storage. All main data files will be shared as tab delimited text files at the Dryad Digital Repository (http://datadryad.org/) in conjunction with publication or within 2 years of completing the proposed research. Because the work involves a non-model insect species with implications for researchers studying ecoimmunology and disease ecology, the co-PIs will share pertinent experimental information (i.e. optimized immune assay protocols) with the Research Coordination Network in Ecoimmunology (http://ccoon.myweb.usf.edu/ecoimmunology.org/About_Home.html)",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Illinois at Urbana-Champaign,,United States,Dryad,Robert Brunner,2016-08-01,2019-07-31,,,2016,299815,USD,"299,815.00",nsf,,1647432,EAGER: Dryads - Next Generation Tree Algorithms,"Many data sets can be represented via a natural hierarchical ordering, which can be easily represented programmatically by using tree data structures. For example, two-dimensional spatial data can be organized by using quad-trees, while three-dimensional data can be organized by using oct-trees. As data volumes continue to increase, compact representations of the extremely large data become increasingly important since the representations can enable much more efficient data selection, transportation, and processing. Yet the development of standardized, generic and efficient tree data structures that both scale to massive data and leverage the capabilities of modern computer architectures remains an unmet need. This research effort addresses this need by designing and implementing a library of generic implicit tree abstractions that will provide the foundation for next generation analysis codes in data driven sciences. By working with the C++ standardization committee, this research will potentially impact millions of software developers, worldwide, since this low level language is implicitly used by many high-level language analysis tools and libraries.<br/><br/>This research will investigate generic and high performance tree building blocks by exploring two key elements. First, low-level bit manipulation techniques will be created that can be optimized for specific computer architectures (such as the Intel Haswell). These techniques will be developed in conjunction with the international C++ standardization committee as an open source library and will impact a wide range of applications areas including arbitrary precision arithmetic, cryptography, and tree indexing strategies. Second, a generic library of implicit tree structures will be developed, by using the previously developed bit manipulation techniques, and submitted as a new, open-source library to the Boost community for broader dissemination. Finally, to demonstrate the efficacy of these new software libraries, two example tree applications will be developed and published: an oct-tree used for numerical simulations and a decision trees used for machine learning.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Princeton University,,United States,Dryad,Peter Andolfatto,2013-05-15,2016-04-30,,,2013,88240,USD,"88,240.00",nsf,,1257800,Collaborative Research: Physiological genomics of color vision in butterflies,"Many toxic animals have bright warning colors to deter predators such as birds and lizards. Often a group of unrelated species mimic one another by sharing a single defensive pattern. For insects such as butterflies that use wing patterns to recognize their own species, especially when they are choosing mates, mimics of different species might be confusing. This group has recently found that the color vision of toxic passion vine or Heliconius butterflies of South and Central America is able to distinguish the Heliconius yellow wing pigments from those of their mimics, whereas the two types of yellow pigment produce colors that are indistinguishable for bird color vision. This project will investigate the differences in color vision between species and sexes of Heliconius butterflies, using molecular, anatomical, biochemical, electrophysiological and next-generation sequencing methods. The resulting data and models of color vision will provide evidence on how color is used for both choosing mates and finding leaves on which to lay eggs and flowers to feed. This study will make predictions about Heliconius color vision that can be tested behaviorally. This research will reveal in unprecedented detail the evolution of color vision within a group of closely-related animals in relation to the signals they encounter in their daily lives. Whereas much is know about sexual differences in animal coloration, virtually nothing is known about sexual differences in color vision. This is a major gap that can now be addressed. Spectral data resulting from this project will be deposited in the Dryad Data Repository http://datadryad.org/ and made freely available to the public. There will be training of a postdoc, graduate and undergraduate students in intracellular recording and anatomical methods, as well as in the analysis of next-generation sequencing data. This research group will recruit undergraduate math and chemistry majors to analyze color reflectance spectra.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Irvine,,United States,Dryad,Adriana Briscoe,2013-05-15,2017-03-31,,,2013,440609,USD,"440,609.00",nsf,,1257627,Collaborative Research: Physiological genomics of color vision in butterflies,"Many toxic animals have bright warning colors to deter predators such as birds and lizards. Often a group of unrelated species mimic one another by sharing a single defensive pattern. For insects such as butterflies that use wing patterns to recognize their own species, especially when they are choosing mates, mimics of different species might be confusing. This group has recently found that the color vision of toxic passion vine or Heliconius butterflies of South and Central America is able to distinguish the Heliconius yellow wing pigments from those of their mimics, whereas the two types of yellow pigment produce colors that are indistinguishable for bird color vision. This project will investigate the differences in color vision between species and sexes of Heliconius butterflies, using molecular, anatomical, biochemical, electrophysiological and next-generation sequencing methods. The resulting data and models of color vision will provide evidence on how color is used for both choosing mates and finding leaves on which to lay eggs and flowers to feed. This study will make predictions about Heliconius color vision that can be tested behaviorally. This research will reveal in unprecedented detail the evolution of color vision within a group of closely-related animals in relation to the signals they encounter in their daily lives. Whereas much is know about sexual differences in animal coloration, virtually nothing is known about sexual differences in color vision. This is a major gap that can now be addressed. Spectral data resulting from this project will be deposited in the Dryad Data Repository http://datadryad.org/ and made freely available to the public. There will be training of a postdoc, graduate and undergraduate students in intracellular recording and anatomical methods, as well as in the analysis of next-generation sequencing data. This research group will recruit undergraduate math and chemistry majors to analyze color reflectance spectra.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Maryland Center for Environmental Sciences,,United States,Dryad,John Hoogland,2014-03-01,2022-02-28,,,2014,498695,USD,"498,695.00",nsf,,1353466,"""LTREB: Impacts of polyandry over the lifetime of a social mammal""","Mating involves costs such as increased exposure to diseases and parasites, and a female usually obtains all the sperm she needs from a single mating. Paradoxically, however, polyandry (i.e., mating with multiple males) is ubiquitous among animals of all types. Longterm research with prairie dogs has revealed that reproductive success (RS) is higher for polyandrous females than for monandrous females. To investigate the costs and benefits of polyandry, researchers from The University of Maryland will perform a manipulative field experiment that will compare monandry versus polyandry for female prairie dogs matched for age, body mass, colony size, and the adult sex ratio. This comprehensive experiment will be the most detailed examination of polyandry to date for a mammal living under natural conditions. The researchers will use two innovations, ultrasounds and remote-controlled serpentine robots (snakebots), to count offspring at previously un-observable portions of the life-history. Further, they will capitalize on a powerful combination of behavioral observations of matings with molecular analyses of paternity to investigate genetic mechanisms by which polyandry might enhance female RS. This longterm research of polyandry under natural conditions will have sweeping consequences for our understanding of several key issues in Animal Behavior, including mate choice, generation and maintenance of genetic diversity, sexual selection, and population viability. Broader impacts include training 8 undergraduates per year, many of whom will be under-represented minorities; a Critter-Cam, which will enable amateur and professional biologists to view live interactions among marked prairie dogs; assistance to 5 organizations working to conserve prairie dogs; lectures to pre-K through high school students; 2 websites with information about prairie dogs; and frequent radio and television shows about prairie dogs. <br/><br/>Data Management<br/><br/>Behavioral and genetic data will be stored and available to the general public in databases such as the DRYAD data repository (http://datadryad.org/) and NCBI Genbank (http://www.ncbi.nlm.nih.gov/genbank/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Massachusetts Institute of Technology,,United States,arXiv,Virginia Williams,2023-08-01,2026-07-31,,,2023,600000,USD,"600,000.00",nsf,,2330048,AF:Small: Algorithms and Limitations for Matrix Multiplication,"Matrix multiplication is among the most basic and fundamental mathematical operations. It finds applications throughout science, technology and beyond. For instance, matrices need to be multiplied whenever trajectories or changes of coordinates need to be computed: in graphics, computer animation, physics and chemistry simulations, map routing computations, machine learning, economics and more. The study of matrix multiplication algorithms seeks to develop the fastest methods for computers to multiply matrices. With today's world of big data, the matrices of interest are larger than ever, and very fast matrix multiplication methods are of great importance. An important educational goal of the project is to mentor undergraduate and graduate students in research, with a particular emphasis on building expertise in matrix algorithms and their applications. The investigator will also continue developing courses on the topics of this project, with a large research component. The lecture notes and project materials will be available on the course website for the general public.<br/><br/>For decades the trivial approach to multiplying matrices was thought to be optimal until a 1969 breakthrough by Strassen and the subsequent development of deep theory led to significant improvements. The theoretical study of matrix multiplication algorithms aims to pinpoint the exponent omega of matrix multiplication: the smallest real number for which there is an algorithm that multiplies two n-by-n matrices over a field using n^{omega+o(1)} operations (additions and multiplications of field elements). Since the output is of size n^2, in the worst case, omega is at least 2. The best known published upper bound omega<2.37286 was obtained by Alman and the investigator, and a recent preprint on the arXiv gives an improvement to omega<2.372. The main goal of this project is to investigate new approaches to improving the bound on omega and related parameters, and to design a practical algorithm with a provably low runtime exponent. To complement this, the investigator will also explore the limitations of the new approaches, aiming to pinpoint both their strengths and weaknesses. A second goal of the project is to consider variants of the matrix multiplication problem, such as multiplying matrices over other algebraic structures with applications in graph algorithms. Both algorithms and conditional lower bounds will be considered.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Massachusetts Institute of Technology,,United States,arXiv,Pavel Etingof,2015-09-01,2018-08-31,,,2015,249964,USD,"249,964.00",nsf,,1519580,"PRIMES: Program for Research In Mathematics, Engineering, and Science for high school Students","MIT PRIMES is a free, year-long research program for high school students at the Massachusetts Institute of Technology. The goal of PRIMES is to give talented high school students a unique experience of real mathematical research, letting them discover the joy and beauty of mathematical exploration; to inspire them to pursue careers in the mathematical sciences; and to diversify the pool of students interested in mathematics by providing additional opportunities for promising students with underprivileged backgrounds. This project funds the local Mathematics Section of PRIMES. PRIMES students will work on their research projects during the academic year, aided by weekly meetings with their mentors (MIT Mathematics Department graduate students) on the MIT campus. The projects will be presented at annual PRIMES conferences, and final papers will be posted on the Program website and disseminated through arXiv.org and academic journals.
This project will fund research by high school students and their mentors in the following areas: quantum Schubert calculus, Ramsey multiplicity, the Richter-Thomassen conjecture and related topics, signatures of Hermitian forms arising in representation theory, structure of lower central series of associative algebras, and properties of closed polygonal paths with steps being roots of unity.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Massachusetts Institute of Technology,,United States,arXiv,Pavel Etingof,2012-09-15,2015-08-31,,,2012,357582,USD,"357,582.00",nsf,,1238309,"MIT PRIMES: Program for Research In Mathematics, Engineering, and Science for High School Students","MIT PRIMES is a free, year-long research program for high school students. This proposal requests funding for research projects on representations of symplectic reflection algebras in positive characteristic, representations of continuous Hecke algebras in positive characteristic, the structure of lower central series of associative algebras defined by generators and relations, the structure of ideals generated by terms of the lower central series defined by generators and relations, thracklability of graphs, decay of crossing numbers, Ramsey multiplicity, the visibility conjecture, the Richter-Thomassen conjecture, and coinvariants of incompressible vector fields.<br/><br/>PRIMES students will work on their projects during the academic year, aided by weekly meetings with their mentors (MIT Mathematics Department graduate students) on the MIT campus. The projects will be presented at annual PRIMES conferences, and final papers will be posted on the Program website and disseminated through arXiv.org and academic journals. Participation in PRIMES would help talented high school students discover the beauty of mathematical research and would inspire them to choose careers in the mathematical sciences. A special section of PRIMES, called PRIMES Circle, will be dedicated to serving students from urban high schools. PRIMES Circle students would learn an advanced mathematical topic in a challenging academic environment through directed reading and problem-solving. This would serve as preparation for further research and encouragement for pursuing degrees in the mathematical sciences.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Emory University,,United States,arXiv,Vaidy Sunderam,2021-10-01,2025-09-30,,,2021,266668,USD,"266,668.00",nsf,,2106359,Collaborative Research: CNS Core: Medium: Optimizing Storage Caches via Adaptive and Reconfigurable Tiering,"New types of data storage and memory devices are being developed and released, but they have very different properties, such as speeds, costs, sizes, reliability, and energy. With these new options, there is an opportunity to reduce the cost or environmental impact of storage while improving its reliability and performance. To realize these benefits, this project explores techniques to use new storage devices together. By exploring when and how to move data between “tiers” of new storage, as well as automatically determining what devices to use in data storage tiers, the project dramatically improves storage for both providers and the end users.<br/><br/>This project analyzes methods to detect optimal reconfiguration points using machine-learning and time-series techniques via three interrelated thrusts. In the first thrust, accurate, analytical, multi-tier tail latency models are developed using queuing theory. Then, the project builds an efficient platform to simulate configurations and investigates methods to estimate tiered-cache reconfiguration costs. Finally, lightweight, low-overhead, accurate sampling techniques are explored for running systems, to quickly detect significant input/output and cache behavior changes. In response, this project further builds techniques to reconfigure a tiered-cache on running systems with minimal interference. Empirical case studies are applied to Memcached and Kubernetes containers.<br/><br/>The storage community benefits from multiple artifacts this project produces: an open-source versatile multi-tier cache simulator, workload and analytical latency models, several case studied systems, a database of metrics from empirically evaluated devices, and publications reporting unexpected or counter-intuitive results. Storage consumers (e.g., companies) can simulate many “what-if” scenarios before actually purchasing any hardware, so as to avoid under- or over-provisioning. This project develops new course modules including short video tutorials. Several students, including women and members of underrepresented groups, are mentored and trained in research techniques.<br/><br/>The project's artifacts—software, source code, data sets, multi-tier cache simulator, traces, and results—are all embodied in a system we call ""MTCache: Multi-Tier Cache"". Results will be disseminated using peer-reviewed publications and arxiv.org. All artifacts will be made public through the project Website: https://www.filesystems.org/mtcache. The project plans to maintain that site for at least ten years following the end of the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,SUNY at Stony Brook,,United States,arXiv,Erez Zadok,2021-10-01,2025-09-30,,,2021,549333,USD,"549,333.00",nsf,,2106434,Collaborative Research: CNS Core: Medium: Optimizing Storage Caches via Adaptive and Reconfigurable Tiering,"New types of data storage and memory devices are being developed and released, but they have very different properties, such as speeds, costs, sizes, reliability, and energy. With these new options, there is an opportunity to reduce the cost or environmental impact of storage while improving its reliability and performance. To realize these benefits, this project explores techniques to use new storage devices together. By exploring when and how to move data between “tiers” of new storage, as well as automatically determining what devices to use in data storage tiers, the project dramatically improves storage for both providers and the end users.<br/><br/>This project analyzes methods to detect optimal reconfiguration points using machine-learning and time-series techniques via three interrelated thrusts. In the first thrust, accurate, analytical, multi-tier tail latency models are developed using queuing theory. Then, the project builds an efficient platform to simulate configurations and investigates methods to estimate tiered-cache reconfiguration costs. Finally, lightweight, low-overhead, accurate sampling techniques are explored for running systems, to quickly detect significant input/output and cache behavior changes. In response, this project further builds techniques to reconfigure a tiered-cache on running systems with minimal interference. Empirical case studies are applied to Memcached and Kubernetes containers.<br/><br/>The storage community benefits from multiple artifacts this project produces: an open-source versatile multi-tier cache simulator, workload and analytical latency models, several case studied systems, a database of metrics from empirically evaluated devices, and publications reporting unexpected or counter-intuitive results. Storage consumers (e.g., companies) can simulate many “what-if” scenarios before actually purchasing any hardware, so as to avoid under- or over-provisioning. This project develops new course modules including short video tutorials. Several students, including women and members of underrepresented groups, are mentored and trained in research techniques.<br/><br/>The project's artifacts—software, source code, data sets, multi-tier cache simulator, traces, and results—are all embodied in a system we call ""MTCache: Multi-Tier Cache"". Results will be disseminated using peer-reviewed publications and arxiv.org. All artifacts will be made public through the project Website: https://www.filesystems.org/mtcache. The project plans to maintain that site for at least ten years following the end of the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,EV_TR,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,"University of California, Office of the President, Oakland",,United States,Dryad,Guenter Waibel,2020-12-01,2022-11-30,,,2020,46793,USD,"46,793.00",nsf,,2031647,Connecting Researchers in Sharing and Re-Use of Research Data and Software,"Open science practices have gained widespread adoption, globally, with the help of federal funding and<br/>publisher policies, as well as the increasing visibility and growing awareness of the value of sharing<br/>work. This has been largely evident in light of the current COVID19 pandemic, with data sharing driving<br/>many areas of research, and open software resources must evolve to meet the needs of researchers. To meet the emerging demands and growing requirements of the research community who need support for both data and software sharing, Dryad and California Digital Library partnered in 2018 and Dryad and Zenodo partnered in 2019. These partnerships have allowed for the three organizations to re-think the data and publishing processes, explore ways for data curation, software preservation, and for output re-use to be tied together more seamlessly. <br/><br/>This project is a one-day, invitational workshop bringing together researchers and adjacent community members with diverse backgrounds to discuss needs, challenges, and priorities for re-using research data and software. The goal of the meeting is to develop pathways for consistent engagement with individuals and groups across the diverse scientific disciplines in order to be connected with and responsive to researchers' needs and goals. Meeting topics include dataset re-use, deposition guidance, curation standards and requirements, integrations and relationships between data and code, and advocacy and adoption. The anticipated outputs are a set of requirements and needs to better enable data and software sharing and re-use.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Alabama Tuscaloosa,,United States,Dryad,Ryan Earley,2013-08-01,2014-07-31,,,2013,18866,USD,"18,866.00",nsf,,1311347,DISSERTATION RESEARCH: Local adaptation of the integrated phenotype: can life history and physiology mediate behavioral evolution?,"Organismal form and function arises through complex interactions among traits ranging from growth and reproduction to behavioral and hormonal responses to environmental stimuli. In this time of global climate change and unprecedented ecosystem disturbance, accurately predicting how organisms respond over the long-term to environmental change is essential. The degree to which traits are integrated, how strongly they covary, ultimately dictates a population's response to environmental pressures. The investigators capitalize on the reproductive system of mangrove rivulus, a fish that inhabits imperiled mangrove ecosystems and is capable of producing offspring genetically identical to the parent and all siblings, to determine with exceptional resolution how life history (e.g., growth, reproduction), behavioral (e.g., aggression, risk-taking), and morphological (e.g., shape, size) traits covary at the phenotypic and genetic levels. They expect differences among populations in the composition and interconnectedness of trait networks, which would provide evidence that the physical, community, and social environments exert strong influences on trait integration. The investigators also seek to understand the mechanisms underlying trait integration. Steroids like the androgen testosterone and the stress hormone cortisol influence the expression of multiple traits simultaneously. Thus, the investigators expect to uncover linkages between hormone profiles and patterns of trait integration. This study combines an integral knowledge of the mangrove rivulus' genetics with behavioral, ecological, and physiological techniques, to explore central questions in biology, how are complex phenotypes organized and how can we predict phenotypic responses to environmental change? By studying organisms as integrated wholes we can derive more accurate predictions about how ecosystem disturbances impact native flora and fauna. The investigators will participate in outreach activities to educate the public about mangrove ecosystem inhabitants, threats to the ecosystem, and how knowledge gained from basic biological exploration can transform our everyday activities and drive positive changes at the individual, community, and national levels.<br/><br/>Data will be maintained and available at (http://datadryad.org).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Columbia University,,United States,Dryad,Dustin Rubenstein,2015-08-01,2017-07-31,,,2015,20800,USD,"20,800.00",nsf,,1501257,DISSERTATION RESEARCH: Environmental Quality and the Costs of Reproduction: an Experimental Test in a Cooperatively Breeding Bird,"Organisms are faced with a fundamental decision: to invest valuable resources and energy in reproduction or in their own survival. As a result, reproduction may lead to lowered survival, a relationship called the ""cost of reproduction."" For some organisms, the cost of reproduction is thought to be so high that parents cannot reproduce without additional help. Ultimately, this may be why some species live in complex family groups, or cooperatively breeding societies, where individuals form social groups to raise others' offspring. Finding food for the young is difficult, but if individuals come together to find food the cost of reproduction is lowered. The researchers are studying cooperatively breeding birds to determine whether the cost of reproduction promotes rearing young in family groups. This project specifically explores how resources available during reproduction can increase or decrease the cost of reproduction and alter group dynamics. This research will also create two positions for local Kenyan field assistants, and provide mentoring to a female undergraduate student who will assist with data collection and pursue an independent project. Results will be shared with US and Kenyan undergraduate students as part of a semester abroad in Tropical Biology. This research will also be shared with Kenyan students from rural elementary schools through participation in the grassroots Laikipia Conservation Clubs. <br/><br/>Researchers will manipulate territory quality through an insect supplementation at nests of a cooperatively breeding species, the superb starling (Lamprotornis superbus), to examine whether environmental conditions drive the cost of reproduction. Birds will be caught both before and during chick rearing to look at the physiological changes that occur as a result of reproduction. Previous research in this system has indicated that oxidative stress increases with greater chick-rearing effort, a strong candidate measure that may link reproductive effort to reduced survival. The researchers will examine how food supplementation alters the magnitude of these physiological changes to infer how resource availability drives the cost of reproduction. Samples and data will be stored at Columbia and made publically available post publication through Dryad, a public data repository for evolutionary and ecological data.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Indiana University,,United States,Dryad,Kristi Montooth,2012-05-15,2014-12-31,,,2012,641490,USD,"641,490.00",nsf,,1149178,CAREER: The physiology and genetics of adaptation in a complex environment,"Organisms have a remarkable capacity to respond physiologically to their environment to maintain survival and health even in times of stress. This research program investigates the physiological responses of the model genetic organism Drosophila melanogaster to a complex environment. D. melanogaster recently expanded its range out of tropical Africa and into higher latitudes with more variable thermal environments. At the same time, D. melanogaster evolved a remarkable tolerance of ethanol and acetic acid in its fermenting fruit habitat. The natural history of this fruit fly allows for an investigation of how organisms are likely to respond to a complex and increasingly variable climate. In particular, this research will test hypotheses about how changes in cell membranes and metabolism maintain health, performance and fitness in a thermally-variable and alcohol-rich niche. The experiments investigate changes that occur within the lifespan of organisms to deal with the environment -- plastic physiologies -- and changes that have evolved to fit organisms to their environment via the process of natural selection physiological adaptations. The goal of this research is to identify the interactions among multiple genes that underlie these plastic and adaptive responses to a complex environment.<br/><br/>The proposed research will further our knowledge in areas identified by the Frontiers in Evolutionary Biology workshop (NSF 2005), provide insight on genetic, cellular and physiological mechanisms of environmental tolerance, and develop new methods for associating physiological traits with complex genetic variation at multiple genes. Data will be made publicly available using the DRYAD database (http://datadryad.org/), and genetic lines will be made available upon request after publication. Genetic lines judged to be of use for many labs will be placed in the Bloomington Drosophila Stock Center (http://flystocks.bio.indiana.edu/).<br/><br/>The educational objectives draw on the PI's history of integrating her research and teaching. Objective 1 develops a novel curriculum for college-level biology classes that uses case studies to teach skills in information literacy, writing, quantitative thinking, and data representation. Curricula will be deposited in the publicly available database of the NSF National Center for Case Study Teaching (NCCST; http://sciencecases.lib.buffalo.edu/cs/collection/). Objective 2 will create an educational multimedia display to promote public literacy in the life sciences. Objective 3 advances a research training program for students that integrates genetics, evolution, and cellular and organismal physiology, and includes minority and female students.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Nebraska-Lincoln,,United States,Dryad,Kristi Montooth,2014-08-16,2019-04-30,,,2014,683365,USD,"683,365.00",nsf,,1505247,CAREER: The physiology and genetics of adaptation in a complex environment,"Organisms have a remarkable capacity to respond physiologically to their environment to maintain survival and health even in times of stress. This research program investigates the physiological responses of the model genetic organism Drosophila melanogaster to a complex environment. D. melanogaster recently expanded its range out of tropical Africa and into higher latitudes with more variable thermal environments. At the same time, D. melanogaster evolved a remarkable tolerance of ethanol and acetic acid in its fermenting fruit habitat. The natural history of this fruit fly allows for an investigation of how organisms are likely to respond to a complex and increasingly variable climate. In particular, this research will test hypotheses about how changes in cell membranes and metabolism maintain health, performance and fitness in a thermally-variable and alcohol-rich niche. The experiments investigate changes that occur within the lifespan of organisms to deal with the environment -- plastic physiologies -- and changes that have evolved to fit organisms to their environment via the process of natural selection physiological adaptations. The goal of this research is to identify the interactions among multiple genes that underlie these plastic and adaptive responses to a complex environment.<br/><br/>The proposed research will further our knowledge in areas identified by the Frontiers in Evolutionary Biology workshop (NSF 2005), provide insight on genetic, cellular and physiological mechanisms of environmental tolerance, and develop new methods for associating physiological traits with complex genetic variation at multiple genes. Data will be made publicly available using the DRYAD database (http://datadryad.org/), and genetic lines will be made available upon request after publication. Genetic lines judged to be of use for many labs will be placed in the Bloomington Drosophila Stock Center (http://flystocks.bio.indiana.edu/).<br/><br/>The educational objectives draw on the PI's history of integrating her research and teaching. Objective 1 develops a novel curriculum for college-level biology classes that uses case studies to teach skills in information literacy, writing, quantitative thinking, and data representation. Curricula will be deposited in the publicly available database of the NSF National Center for Case Study Teaching (NCCST; http://sciencecases.lib.buffalo.edu/cs/collection/). Objective 2 will create an educational multimedia display to promote public literacy in the life sciences. Objective 3 advances a research training program for students that integrates genetics, evolution, and cellular and organismal physiology, and includes minority and female students.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Connecticut,,United States,arXiv,Maksym Derevyagin,2020-07-01,2024-06-30,,,2020,210735,USD,"210,735.00",nsf,,2008844,"Pade approximation, noise filtering, and quantum state transfer","Padé approximations have many applications in natural sciences and mathematics where they are used to approximate values of special functions. This project will develop the machinery and techniques so they can be used for gravitational wave detection, nuclear magnetic resonance spectroscopy as applied to nuclear waste, brain/breast cancer detection, and oil detection. Another aspect of the project is to study all these objects in relation to problems of quantum information and quantum computers. The history of Padé approximants goes back to Charles Hermite’s proof that Euler's number is transcendental. Henri Padé, a doctoral student of Hermite, systematically extended these techniques. A Padé approximant is a rational function with the degrees of numerator and denominator n and m, respectively, and the power series expansion about a specific point agreeing with the power series expansion of the given function up to the (n+m)-th term. One of many attractive features of Padé approximants is their fast convergence and the phenomenon of global convergence. There are some pitfalls in the behavior of Padé approximants and many interesting open problems, which will be studied in this project. The PI plans to train graduate students and disseminate results publicly through publications, arXiv preprints, and at conferences.<br/><br/>The first part of primary goals of this project includes developing the mathematical foundation for a denoising scheme based on Padé approximants, which was recently proposed by physicists Daniel Bessis and Luca Perotti. There are many noise filtering methods available, but most of the classical ones fail when the signal-to-noise ratio approaches 1. The Bessis-Perotti method has been shown to be computationally effective in several cases. The underlying mathematical problem consists in the analysis of behavior of poles of Padé approximants under rational perturbations. The PI proved some convergence results for Padé approximants of rational perturbations of Markov functions, which will be further extended and adapted to the denoising scheme. Orthogonal polynomials and Jacobi matrices are intimately related to Padé approximants, and are widely used tools in their own rights. The PI intends to explore and to use some recent asymptotic formulas for nonclassical orthogonal polynomials on the unit circle of Brian Simanek and the PI in relation to the noise filtering method. The second part of primary goals includes further investigations of the relation between quantum state transfers in 1D chains and in spin configurations on graphs, which was recently proposed by Gerald Dunne, Gamal Mograby, Sasha Teplyaev, and the PI. The PI also plans to use the theory of Jacobi matrices and orthogonal polynomials to find a systematic approach to designing 1D chains with non-nearest neighbor interactions and to adapt it to the case of some graphs.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Harvard University,,United States,Dryad,Scott Edwards,2013-06-15,2018-05-31,,,2013,580860,USD,"580,860.00",nsf,,1258784,"Collaborative Proposal: A New Model For Chemical Ecology: Integrating Chemistry, Genetics and Behavior to Understand the Role of Individual Scent in a Colonial Nesting Seabird.","Personal odors can play an essential role in communication and individual recognition. Scents make be influenced by genes that are critical for immune function, including genes of the major histocompatibility complex (MHC). This study will marry chemical ecology with modern forensic science techniques establishing the Leach's storm-petrel (Oceanodroma leucorhoa), as a model system studying what appears to be a critical but little studied aspect of social interactions in birds.This long-lived, burrow-nesting species has an excellent sense of smell, making them an ideal model for this investigation. Extensive field study sites have already been established on Bon Portage Island, Nova Scotia, Canada, where over 300 breeding pairs have been genotyped for the MHC class 2B gene. The aim is to characterize the individual odor profiles of these genotyped birds using state-of-the-art chemical techniques developed for human scent discrimination. Specific research objectives are a) to test whether individual birds produce odor signatures related to their MHC-genotype, b) to determine if birds use MHC-related scent marks to label their home burrows, and c) to determine whether the scent of an individual bird is an indicator of individual quality, health and fitness, or plays a role in mate choice decisions. Showing that any species of bird uses MHC-related odors in mate choice decisions would represent a paradigm shift in how biologists think about mate choice decisions in birds, and will provide insights relevant to avian immunology and health in a wide-ranging species. Just as importantly, many species of petrels and albatrosses are facing extinction, and understanding the factors driving mate choice and colony demographics will make a valuable contribution to comprehensive management plans for endangered species. Published phenotypic/chemical or genetic data will be deposited in the Dryad Repository (http://datadryad.org/) or submitted to Genbank (http://www.ncbi.nlm.nih.gov/genbank/), and deposited in Merritt Data Repository (http://www.dataone.org/software-tools/merritt-repository-service).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Davis,,United States,Dryad,Gabrielle Nevitt,2013-06-15,2019-05-31,,,2013,654000,USD,"654,000.00",nsf,,1258828,"Collaborative Proposal: A New Model For Chemical Ecology: Integrating Chemistry, Genetics and Behavior to Understand the Role of Individual Scent in a Colonial Nesting Seabird.","Personal odors can play an essential role in communication and individual recognition. Scents make be influenced by genes that are critical for immune function, including genes of the major histocompatibility complex (MHC). This study will marry chemical ecology with modern forensic science techniques establishing the Leach's storm-petrel (Oceanodroma leucorhoa), as a model system studying what appears to be a critical but little studied aspect of social interactions in birds.This long-lived, burrow-nesting species has an excellent sense of smell, making them an ideal model for this investigation. Extensive field study sites have already been established on Bon Portage Island, Nova Scotia, Canada, where over 300 breeding pairs have been genotyped for the MHC class 2B gene. The aim is to characterize the individual odor profiles of these genotyped birds using state-of-the-art chemical techniques developed for human scent discrimination. Specific research objectives are a) to test whether individual birds produce odor signatures related to their MHC-genotype, b) to determine if birds use MHC-related scent marks to label their home burrows, and c) to determine whether the scent of an individual bird is an indicator of individual quality, health and fitness, or plays a role in mate choice decisions. Showing that any species of bird uses MHC-related odors in mate choice decisions would represent a paradigm shift in how biologists think about mate choice decisions in birds, and will provide insights relevant to avian immunology and health in a wide-ranging species. Just as importantly, many species of petrels and albatrosses are facing extinction, and understanding the factors driving mate choice and colony demographics will make a valuable contribution to comprehensive management plans for endangered species. Published phenotypic/chemical or genetic data will be deposited in the Dryad Repository (http://datadryad.org/) or submitted to Genbank (http://www.ncbi.nlm.nih.gov/genbank/), and deposited in Merritt Data Repository (http://www.dataone.org/software-tools/merritt-repository-service).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Davis,,United States,Dryad,Stacey Harmer,2013-01-01,2017-12-31,,,2013,2046342,USD,"2,046,342.00",nsf,,1238040,Investigating the Mechanistic Basis and Adaptive Significance of the Coordination of Plant Growth by External and Internal Cues,"PI: Stacey Harmer (University of California-Davis)
Co-PI: Ben Blackman (University of Virginia)
Plants optimize their use of local resources by synchronizing their growth with day/night cycles, resulting in daily rhythms in leaf, stem, and root growth. This coordination is accomplished through an intricate interplay between the light signaling, circadian clock, and hormone signaling networks. However, the manner in which these networks interact to control plant growth is poorly understood. This project exploits the robust ability of sunflower to track the sun to characterize pathways that coordinate plant growth with daily environmental fluctuations. First, developmental and environmental factors that control solar tracking will be defined. Next, high-throughput analysis of hormone and gene transcript levels in different portions of solar tracking stems will be carried out, allowing the identification of candidate genes and pathways controlling these growth rhythms. Finally, genome-enabled association and linkage mapping techniques will take advantage of the abundant natural variation present in common sunflower and its wild relatives to provide essential information about the role of solar tracking in plant adaptation to the environment. Together, these studies will elucidate the interactions between diverse signaling networks that optimize plant growth with environmental changes and provide insights into ways to improve plant performance.
Plant yield is enhanced by daily growth patterns of stems and leaves that allow more efficient photosynthesis and higher water use efficiency. Although a number of molecular pathways that regulate plant growth have been identified, an understanding of how they are coordinated with each other and with environmental cues remains elusive. Solar tracking in sunflower is an extremely appropriate trait for addressing these basic questions since it provides a unique entry point to determine how internal and external cues regulate growth across a single organ. By asking fundamental questions about how this coordination occurs and evolves, these studies will reveal important insights into how to enhance crop plant performance and conserve plant diversity in the face of global climate change and an increasing human population. In addition, this project will generate extensive resources that will be useful to the entire Compositae community. To provide public access to these resources, transcriptome and functionally annotated marker data will be deposited in public databases including the NCBI Short Read Archive (http://www.ncbi.nlm.nih.gov/sra/), the Compositae Genome Project (http://compgenomics.ucdavis.edu/), the Sunflower Genome Resources Consortium (http://www.sunflowergenome.org), and DRYAD (http://datadryad.org/). Germplasm will be deposited with the National Plant Germplasm System (http://www.ars-grin.gov/npgs/). A student crowd-sourcing method will be developed for the analysis of time-lapse videos of plants grown in natural and controlled environments. This image analysis software developed with the iPlant Collaborative will be made freely available via the iPlant Phytobisque web portal (https://pods.iplantcollaborative.org/wiki/display/ipg2p/PhytoBisque). Finally, cross-disciplinary training in genomic, ecological, and quantitative approaches will be provided for the undergraduate and graduate students and post-doctoral fellows involved in these studies.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Georgia Research Foundation Inc,,United States,Dryad,John Burke,2015-08-15,2024-07-31,,,2015,4172290,USD,"4,172,290.00",nsf,,1444522,Evolutionary Genomics of Abiotic Stress Resistance in Wild and Cultivated Sunflowers,"Businesses are moving data and applications into the cloud, meaning that many applications and data are consolidated efficiently in one place on fewer servers. Cloud storage services must keep the data of thousands of customers separated while also allowing customers to operate on it efficiently. Safely intermixing customer-provided operations over data is problematic. Historically, processor hardware isolates programs, but increasing data access rates make that costly. This project develops a new approach to storage that allows safe operation on data without hardware protection using recent advances in programming languages.<br/><br/>The approach combats data movement between disaggregated storage and compute nodes by having untrusted tenant extensions pushed to Sandstorm, a new cloud storage system. Sandstorm's insight is that storage extensions can use language-level isolation to eliminate hardware isolation overheads that cannot be avoided today: not with virtual machines, containers, nor serverless Lambdas. Sandstorm also eliminates copying data for safety, so extensions benefit from low-level hardware functionality like zero-copy network transmission. The project will develop multitenant benchmarks, low-cost performance-isolated concurrency mechanisms for multicores, techniques to minimize data movement within servers, storage extensions that demonstrate the benefits, and distributed extensions over clusters.<br/><br/>As power limits data center scale, minimizing data movement out of storage becomes crucial. Sandstorm enables any cloud developer to accelerate data-intensive applications like real-time social network and natural graph analysis and fine-grained coordination of hundreds of thousands of autonomous vehicles. All artifacts will be developed openly under a permissive MIT license for academic and industrial use. The project includes development of a new education platform for teaching students about distributed systems and cloud computing at the graduate, undergraduate, and high school levels with a set of serverless computing labs targeted toward University of Utah students and summer camp attendees. <br/><br/>All data, code, experiments, and benchmarks will be open and made publicly available through http://github.com/utah-scs/ and at http://utah.systems/ and retained for a minimum of three years beyond the project award period. All data, code, benchmarks, and experiments associated with all published results will also be hosted at http://dataverse.harvard.edu/dataverse/utah-scs as part of the Harvard Dataverse for long-term retention.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Maryland Center for Environmental Sciences,,United States,Dryad,Stephen Keller,2013-01-15,2014-12-31,,,2013,780763,USD,"780,763.00",nsf,,1238885,"Combining Genomics, Remote Sensing, and Geospatial Modeling to Understand Adaptation to Growing Season Length in Balsam Poplar","PI: Stephen Keller (University of Maryland Center for Environmental Science, Frostburg, MD)<br/><br/>CoPIs: Andrew Elmore, Matthew Fitzpatrick, David Nelson, and Cathlyn Stylinski (University of Maryland Center for Environmental Science, Frostburg, MD)<br/><br/>Key Collaborator: Raju Soolanayakanahally (Agriculture and Agri-Food, Canada)<br/><br/>Translating genomic information into knowledge of environmental adaptation and prediction of performance under field conditions are core challenges facing plant biologists. The goal of associating genome-wide diversity to functional plant phenotypes has created emerging needs for high-throughput phenotyping under field conditions and new analytical tools that can identify and visualize the relationships between genomic diversity and the environment. This project will integrate tools from genomics, remote sensing, and geospatial modeling to study the genetic basis of climate adaptation in balsam poplar, Populus balsamifera, a keystone tree species in North America. Sampling will be focused on balsam poplar's southern range edge in order to study the physiological adaptations of populations to the warmest, earliest onset growing seasons within its geographic range. Genome-wide single nucleotide polymorphism (SNP) data will be generated for 600 poplar genotypes and used to perform genome scans for local adaptation and association mapping for phenology, growth, and water use efficiency traits. Regions of the genome associated with climate adaptation will be used to predict field performance using an independent sample of genotypes and an innovative remote sensing approach to measure phenology. New spatial analytical methods will be developed to characterize the associations between genomic variation and environmental gradients of climate and growing season length, and to visualize the landscape surface of adaptive variation under both current and projected climates. <br/><br/>Cross-disciplinary training in the latest techniques in ecological genomics, remote sensing, and spatial modeling will be provided to undergraduate and graduate students. Minority and first-generation undergraduate students will be recruited through partnerships with Frostburg State University's McNair Program and other organizations. Public outreach to rural communities will be conducted through a multi-faceted science program centered on engaging the public in the science of genomics, plant phenology, and climate change, in collaboration with the National Phenology Network (www.usanpn.org/). Genomic sequence data will be publically available through NCBI's sequence read archive and DOE's Knowledgebase. SNP genotypes, phenotypic traits, and remotely sensed phenology data will be publically accessible through Data DRYAD (www.datadryad.org). A software package in landscape genomics will be developed for the R project for statistical computing, and publically accessible through the Comprehensive R Archive Network (CRAN: http://cran.r-project.org/). Finally, new germplasm and associated genomic and phenotypic results will be available upon request.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Vermont & State Agricultural College,,United States,Dryad,Stephen Keller,2014-08-17,2017-12-31,,,2014,1147443,USD,"1,147,443.00",nsf,,1461868,"Combining Genomics, Remote Sensing, and Geospatial Modeling to Understand Adaptation to Growing Season Length in Balsam Poplar","PI: Stephen Keller (University of Vermont & State Agricultural College)<br/><br/>CoPIs: Andrew Elmore, Matthew Fitzpatrick, David Nelson, and Cathlyn Stylinski (University of Maryland Center for Environmental Science, Frostburg, MD)<br/><br/>Key Collaborator: Raju Soolanayakanahally (Agriculture and Agri-Food, Canada)<br/><br/>Translating genomic information into knowledge of environmental adaptation and prediction of performance under field conditions are core challenges facing plant biologists. The goal of this project is to associate genome-wide diversity to functional plant phenotypes using high-throughput phenotyping under field conditions and new analytical tools in balsam poplar, Populus balsamifera, a keystone tree species. This project will provide cross-disciplinary training in the latest techniques in ecological genomics, remote sensing, and spatial modeling to undergraduate and graduate students. Minority and first-generation undergraduate students will be recruited through partnerships with Frostburg State University's McNair Program and other organizations. Public outreach to rural communities will be conducted through a multi-faceted science program centered on engaging the public in the science of genomics, plant phenology, and climate change, in collaboration with the National Phenology Network (www.usanpn.org/). <br/><br/>This project will develop and integrate tools from genomics, remote sensing, and geospatial modeling to study the genetic basis of climate adaptation in Populus balsamifera, balsam poplar. Sampling will be focused on balsam poplar's southern range edge in order to study the physiological adaptations of populations to the warmest, earliest onset growing seasons within its geographic range. Genome-wide single nucleotide polymorphism (SNP) data will be generated for 600 poplar genotypes and used to perform genome scans for local adaptation and association mapping for phenology, growth, and water use efficiency traits. Regions of the genome associated with climate adaptation will be used to predict field performance using an independent sample of genotypes and an innovative remote sensing approach to measure phenology. New spatial analytical methods will be developed to characterize the associations between genomic variation and environmental gradients of climate and growing season length, and to visualize the landscape surface of adaptive variation under both current and projected climates. Genomic sequence data will be publically available through NCBI's sequence read archive and DOE's Knowledgebase. SNP genotypes, phenotypic traits, and remotely sensed phenology data will be publically accessible through Data DRYAD (www.datadryad.org). A software package in landscape genomics will be developed for the R project for statistical computing, and publically accessible through the Comprehensive R Archive Network (CRAN: http://cran.r-project.org/). Finally, new germplasm and associated genomic and phenotypic results will be available upon request.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Irvine,,United States,Dryad,Matthew McHenry,2014-08-01,2019-07-31,,,2014,446556,USD,"446,556.00",nsf,,1354842,Collaborative Research: BCSP: BIOMAPS: The Hydrodynamics of Predator Sensing and Escape in Zebrafish,"Predation is a fundamental interaction between organisms that shapes community structure and has a direct effect on fitness. This award will support studies on the sensory and motor systems that determine a prey fish's survival. This will be achieved through experimentation and mathematical models of sensory cues and the 'fast start' escape maneuver of prey. The proposed research will (1) reveal the dynamics that govern the sensory and motor systems of prey fish, (2) establish zebrafish as a model for predator-prey interactions, and (3) enhance integration of computational and experimental approaches in organismal research.<br/><br/>This work will focus on larval zebrafish (Danio rerio) in three lines of investigation. The flow stimuli that trigger and direct the fast start will be studied experimentally by replicating a predator's approach with a robotic predator. Analysis of how propulsion directs a fast-start escape maneuver will be achieved by measuring the escape responses of larvae in 3D and computationally modeling the hydrodynamics of propulsion. The efficacy of flow sensing and fast start responses will be addressed by recording the three-dimensional motion of predators and prey as they interact and by modeling the sensory and motor systems of the prey under these conditions. In addition to data from experiments, the investigators will advance the quantitative tools of organismal biologists by (1) developing an on-line course in biological computer programming in Matlab, (2) training graduate students in computational modeling, (3) participating in programs that recruit minority undergraduate researchers, and (4) developing analytical tools for the analysis and modeling of animal motion. Results from the studies will be published in peer-reviewed journals and shared through on-line data repositories (e.g., http://datadryad.org/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Woods Hole Oceanographic Institution,,United States,Dryad,Houshuo Jiang,2014-08-01,2017-07-31,,,2014,274967,USD,"274,967.00",nsf,,1353937,Collaborative Research: BCSP: BIOMAPS: The Hydrodynamics of Predator Sensing and Escape in Zebrafish,"Predation is a fundamental interaction between organisms that shapes community structure and has a direct effect on fitness. This award will support studies on the sensory and motor systems that determine a prey fish's survival. This will be achieved through experimentation and mathematical models of sensory cues and the 'fast start' escape maneuver of prey. The proposed research will (1) reveal the dynamics that govern the sensory and motor systems of prey fish, (2) establish zebrafish as a model for predator-prey interactions, and (3) enhance integration of computational and experimental approaches in organismal research.<br/><br/>This work will focus on larval zebrafish (Danio rerio) in three lines of investigation. The flow stimuli that trigger and direct the fast start will be studied experimentally by replicating a predator's approach with a robotic predator. Analysis of how propulsion directs a fast-start escape maneuver will be achieved by measuring the escape responses of larvae in 3D and computationally modeling the hydrodynamics of propulsion. The efficacy of flow sensing and fast start responses will be addressed by recording the three-dimensional motion of predators and prey as they interact and by modeling the sensory and motor systems of the prey under these conditions. In addition to data from experiments, the investigators will advance the quantitative tools of organismal biologists by (1) developing an on-line course in biological computer programming in Matlab, (2) training graduate students in computational modeling, (3) participating in programs that recruit minority undergraduate researchers, and (4) developing analytical tools for the analysis and modeling of animal motion. Results from the studies will be published in peer-reviewed journals and shared through on-line data repositories (e.g., http://datadryad.org/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of New Mexico,,United States,arXiv,Carlton Caves,2010-09-01,2013-08-31,,,2010,270000,USD,"270,000.00",nsf,,1005540,Investigations in Quantum Metrology and Quantum Entanglement,"Quantum information science (QIS) is the interdisciplinary field that investigates how to use systems obeying the laws of quantum mechanics to perform information-processing tasks. Research under this grant draws from two QIS questions: What is the role of quantum entanglement in quantum information processing? What is the best way to deploy quantum systems, perhaps entangled, to make measurements of classical parameters? These two questions expand to four specific research projects, which are the focus of work under this grant: (i) super-Heisenberg sensitivity scaling, phase coherence, and entanglement in Bose-Einstein condensates; (ii) mixed-state quantum computation and measures of nonclassical correlations; (iii) Clifford circuits, stabilizer states, and local-hidden-variable models; and (iv) fundamental limits to high-precision measurements. These four research projects will be carried out within the environment of the Center for Quantum Information and Control (CQuIC), a PIF-sponsored center based in the Department of Physics and Astronomy at the University of New Mexico, with an experimental component at the College of Optical Sciences of the University of Arizona.<br/><br/>Students supported by this proposal will work within the CQuIC framework, with its proven track record of training PhD students and involving undergraduates in research. CQuIC students are exposed to the interdisciplinary ideas of QIS through a high-level, weekly seminar series and through the weekly CQuIC group meeting, at which papers posted to the e-print server arXiv.org are reviewed and discussed and at which students and postdocs receive intensive training in the art of giving technical talks. CQuIC organizes a visitors program that brings in distinguished scientists for short- and long-term visits, thereby exposing students to additional perspectives and expertise, and provides the opportunity for research exchanges and collaborations with four external partners. CQuIC is also the administrative home for the Southwest Quantum Information and Technology Network (SQuInT), which is a major community-building activitity in QIS, involving about fifteen institutions based mainly in the US Southwest.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Colorado State University,,United States,Dryad,Daniel Sloan,2021-09-01,2024-08-31,,,2021,531400,USD,"531,400.00",nsf,,2114641,RESEARCH-PGR: Illuminating the Plant Protein Interactome with Genome-wide Signatures of Coevolution,"Sequencing plant genomes has unlocked a massive catalog of genes and yet our ability to understand the specific role of each gene lags far behind, meaning functions have only been assigned to a fraction of known plant genes. Individual genes rarely work alone, and a critical aspect of a given gene's function is its interacting partners. Deciphering genetic interactions throughout plant genomes will advance our understanding of the function of a large number of uncharacterized genes; however, most existing methods for identifying genetic interactions are laborious, expensive, and difficult to scale to the entire genome. This project will develop scalable, efficient computational analyses tailored to identifying genetic interactions based on gene-specific rates of evolution across plant genomes. These computational tools will serve as resources applicable to any group of plants and be used to generate databases of genetic interactions for several scientifically and agriculturally important plant groups, which plant geneticists and molecular biologists can search to identify new functions for genes of interest. The results will also be used to probe the emergent properties of entire networks of genetic interactions, which will illuminate the higher-level functional architecture of plant genomes. The impact of these resources will be maximized by offering workshops that will provide training to researchers interested in using these tools and by engaging with first-year undergraduates to broaden participation in the field of computational biology.<br/><br/>Genetic interactions are an important indicator of gene function but the existing tools for identifying the genome-wide assemblage of interactions (i.e., the interactome) in plants provide only a partial view. The phylogenetic signature of evolutionary rate covariation (ERC) between interacting proteins has been successfully applied on small sets of genes in plants to demonstrate coevolution between known subunits within enzyme complexes and on a genome-wide all-by-all basis in non-plant lineages to discover novel interaction partners. However, ERC has never been applied at genome-wide scale in plants, likely due to phylogenetic challenges caused by the especially frequent gene and genome duplication that occur in plants. This project will develop a novel pipeline tailored to ERC analyses of plant genomes, which will employ existing theory on reconciling complex histories of duplication across gene trees. This pipeline will be used to perform ERC analyses at multiple levels of plant evolution and compile the results to generate a web-based plant interactome database, which can be queried for specific genetic interactions. Further, the resulting ERC-based interaction data will be integrated with existing binding assay and coexpression-based interactions to functionally validate ERC results. Finally, network analytics will identify modules of interacting cofunctional proteins and determine how network structure is driven by gene function. This work will create a resource that will empower genome biologists to add a needed layer of information to genome annotation efforts and provide molecular biologists with a wealth of ready-to-test functional hypotheses. All project outcomes will be freely accessible through CyVerse and long-term repositories such as GitHub and Dryad.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Bucknell University,,United States,Dryad,Charles Stayton,2013-08-01,2018-07-31,,,2013,162154,USD,"162,154.00",nsf,,1257142,RUI: The Impact of Multiple Functional Roles on the Morphological Diversification of Turtle Shells,"Since most parts of organisms perform multiple functions, to understand how conflicting functional demands can affect those parts, evolution is critical; however, neither a theoretical framework nor extensive real-world data are available to address this topic. To address this gap, this study will integrate detailed anatomical and engineering analyses (including computer modeling and real-world validation using models) of the shells of all 300 living species of turtle. Three functional attributes will be considered: shell strength, shell drag during swimming, and shell stability when the turtle is overturned. The data will be used to address three questions. Do shells that must perform more functions evolve differently than those with fewer functions (e.g., do aquatic turtle shells evolve differently than those of land turtles, which don't need to be efficient underwater?). Are there shells that perform poorly for any of their functions? If different functions impose different requirements on shells (e.g., flat shells seem best for swimming, but worse for strength), how do shells compromise among functions during evolution? <br/><br/>This study will address several recent Grand Challenges in Organismal Biology, helping scientists to understand how organisms interact with their environment during evolution and integrating the analysis of biological structures with advanced engineering techniques. All data will be made publicly available via the Dryad (www.datadryad.org) and Biomesh (www.biomesh.org) databases. The results will be applicable to other biological shells (e.g., eggs or skulls) or to the development of artificial structures such as small submersibles. This project has an extensive educational component. Twenty to twenty-five undergraduate students will work on this project, receiving applied training in cutting-edge imaging and analysis techniques (skills applicable in careers from medicine to engineering) and experience with scientific research. Students will also develop public communication skills when they help develop and present biology lessons with the PI at local primary schools.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Massachusetts Amherst,,United States,Dryad,Elizabeth Dumont,2014-08-01,2017-07-31,,,2014,16997,USD,"16,997.00",nsf,,1407171,DISSERTATION RESEARCH: Burrowing Behavior of Eastern Moles,"Specialization for life underground has evolved multiple times in mammals as a strategy for foraging, avoiding predators, storing food and nesting; however, researchers know very little about burrowing behaviors because it is difficult to visualize animals as they move through soil. This project focuses on burrowing behavior in Eastern moles because they are specialized diggers that have evolved extreme morphological specializations for powerful burrowing and exhibit two different burrowing behaviors in response to the type of soil they encounter. This study will investigate how and why Eastern moles change their burrowing behavior in response to soils of different compactness. This work will connect morphological specializations for burrowing to burrowing performance, and set the stage for broader investigations of the convergent evolution of burrowing in other species of moles and other mammals. In addition, this research will promote education by providing animations of burrowing useful in teaching evolution and comparative anatomy at all academic levels, benefit the general public by providing crucial kinematic data for improving the design of mole-inspired robots that are used in urban search and rescue, engage the public by recruiting local community members to help identify mole habitats, and lastly, will support the researchers continued participation in the Science Cafe program, which hosts accessible scientific talks for the public that spotlight local scientists. <br/><br/>In this study, the researchers intend to extend upon preliminary data by asking how burrowing behavior changes in response to soils that differ in compactness and how changes in behavior balance the trade-off between force, speed and the trajectory of force used to displace soils. The researchers hypothesize that lateral stroke and scraping movements involve different joints and are used with different frequencies and that lateral strokes are more efficient in displacing loose soil while scraping movements are most efficient in displacing compact soil. Bi-planar x-ray video and force plates will be used to visualize and quantify how Eastern moles change the movements of their limbs in order to meet the challenges of moving through soft and compact substrates. Force and video data will be made available to the public through Dryad.org and the XMA portal (http://xmaportal.org/webportal/), respectively.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Auburn University,,United States,Dryad,Daniel Jones,2022-11-01,2026-10-31,,,2022,752045,USD,"752,045.00",nsf,,2214474,Collaborative Research: RESEARCH-PGR: Comparative genomics of the capitulum: deciphering the molecular basis of a key floral innovation,"Sunflowers, daisies, and their relatives belong to a family of plants that make up ca. 10% of flowering plant biodiversity and include numerous species of horticultural, medicinal, and industrial value. This group of flowering plants also contains economically important food crops including artichoke, lettuce, safflower, and sunflower. It is considered one of the most successful plant families due to its large size and global distribution. Key to the success of the family is its inflorescence (a capitulum or flower head) which resembles a single, large flower but is actually an aggregate of many small flowers. This unique floral structure plays an important role in pollinator attraction and is a major determinant of yield in many of the family’s crop species. Despite the importance of the capitulum, little is known about the genes involved in its development. Understanding how inflorescences develop has the potential to improve food security through optimization of floral structures for yield in crops, and by accelerating progress toward new crop development. This project will increase available genomic resources for the family and result in the development of novel tools for gene editing in the family. This work will shed light on the genes involved in the development of the capitulum inflorescence in an economically important family and provide valuable information that will facilitate efforts for optimizing inflorescence architecture in related crops. This project will provide educational opportunities for diverse students and researchers at multiple training levels, through directed efforts to recruit individuals from traditionally underrepresented groups.<br/> <br/>This project integrates comparative genomics, inflorescence developmental transcriptomics, molecular evolutionary analyses, and functional approaches to decipher the genomic basis of a key floral trait – the capitulum – in the sunflower family (Asteraceae) and related flowering plant lineages. This project will enable the testing of hypotheses related to the role of gene duplication and genome evolution in driving evolutionary novelty, the evolutionary forces involved in the origin of the capitulum, and the repeatability of the evolutionary process across plant lineages. The integrated approach will enable the testing of predictive hypotheses about inflorescence development in Asteraceae and related flowering plant lineages. The primary scientific goals are to: (1) decipher the molecular basis of the Asteraceae capitulum using comparative transcriptomic approaches; (2) determine whether the independent origins of capitula arose via common evolutionary processes and genomic mechanisms; and (3) analyze the functional role of key capitulum genes, targeting established stem cell regulatory genes and candidates identified through comparative/evolutionary genomic analyses. This project will generate high-quality genomes and curated inflorescence transcriptomes for multiple species complemented by comparative genomic and evolutionary analyses. These resources and the resulting data will be disseminated via peer-reviewed publications and public presentations and will be made freely available via deposition in public repositories and databases including the National Center for Biotechnology Information Sequence Read Archive (NCBI-SRA; https://www.ncbi.nlm.nih.gov/sra), Phytozome (https://phytozome-next.jgi.doe.gov/), the Gene Expression Omnibus (GEO; http://ncbi.nlm.nih.gov/geo), FigShare (https://figshare.com/), and Dryad (https://dryad.org/).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Georgia Research Foundation Inc,,United States,Dryad,John Burke,2022-11-01,2026-10-31,,,2022,636422,USD,"636,422.00",nsf,,2214473,Collaborative Research: RESEARCH-PGR: Comparative genomics of the capitulum: deciphering the molecular basis of a key floral innovation,"Sunflowers, daisies, and their relatives belong to a family of plants that make up ca. 10% of flowering plant biodiversity and include numerous species of horticultural, medicinal, and industrial value. This group of flowering plants also contains economically important food crops including artichoke, lettuce, safflower, and sunflower. It is considered one of the most successful plant families due to its large size and global distribution. Key to the success of the family is its inflorescence (a capitulum or flower head) which resembles a single, large flower but is actually an aggregate of many small flowers. This unique floral structure plays an important role in pollinator attraction and is a major determinant of yield in many of the family’s crop species. Despite the importance of the capitulum, little is known about the genes involved in its development. Understanding how inflorescences develop has the potential to improve food security through optimization of floral structures for yield in crops, and by accelerating progress toward new crop development. This project will increase available genomic resources for the family and result in the development of novel tools for gene editing in the family. This work will shed light on the genes involved in the development of the capitulum inflorescence in an economically important family and provide valuable information that will facilitate efforts for optimizing inflorescence architecture in related crops. This project will provide educational opportunities for diverse students and researchers at multiple training levels, through directed efforts to recruit individuals from traditionally underrepresented groups.<br/> <br/>This project integrates comparative genomics, inflorescence developmental transcriptomics, molecular evolutionary analyses, and functional approaches to decipher the genomic basis of a key floral trait – the capitulum – in the sunflower family (Asteraceae) and related flowering plant lineages. This project will enable the testing of hypotheses related to the role of gene duplication and genome evolution in driving evolutionary novelty, the evolutionary forces involved in the origin of the capitulum, and the repeatability of the evolutionary process across plant lineages. The integrated approach will enable the testing of predictive hypotheses about inflorescence development in Asteraceae and related flowering plant lineages. The primary scientific goals are to: (1) decipher the molecular basis of the Asteraceae capitulum using comparative transcriptomic approaches; (2) determine whether the independent origins of capitula arose via common evolutionary processes and genomic mechanisms; and (3) analyze the functional role of key capitulum genes, targeting established stem cell regulatory genes and candidates identified through comparative/evolutionary genomic analyses. This project will generate high-quality genomes and curated inflorescence transcriptomes for multiple species complemented by comparative genomic and evolutionary analyses. These resources and the resulting data will be disseminated via peer-reviewed publications and public presentations and will be made freely available via deposition in public repositories and databases including the National Center for Biotechnology Information Sequence Read Archive (NCBI-SRA; https://www.ncbi.nlm.nih.gov/sra), Phytozome (https://phytozome-next.jgi.doe.gov/), the Gene Expression Omnibus (GEO; http://ncbi.nlm.nih.gov/geo), FigShare (https://figshare.com/), and Dryad (https://dryad.org/).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Memphis,,United States,Dryad,Jennifer Mandel,2022-11-01,2026-10-31,,,2022,811531,USD,"811,531.00",nsf,,2214472,Collaborative Research: RESEARCH-PGR: Comparative genomics of the capitulum: deciphering the molecular basis of a key floral innovation,"Sunflowers, daisies, and their relatives belong to a family of plants that make up ca. 10% of flowering plant biodiversity and include numerous species of horticultural, medicinal, and industrial value. This group of flowering plants also contains economically important food crops including artichoke, lettuce, safflower, and sunflower. It is considered one of the most successful plant families due to its large size and global distribution. Key to the success of the family is its inflorescence (a capitulum or flower head) which resembles a single, large flower but is actually an aggregate of many small flowers. This unique floral structure plays an important role in pollinator attraction and is a major determinant of yield in many of the family’s crop species. Despite the importance of the capitulum, little is known about the genes involved in its development. Understanding how inflorescences develop has the potential to improve food security through optimization of floral structures for yield in crops, and by accelerating progress toward new crop development. This project will increase available genomic resources for the family and result in the development of novel tools for gene editing in the family. This work will shed light on the genes involved in the development of the capitulum inflorescence in an economically important family and provide valuable information that will facilitate efforts for optimizing inflorescence architecture in related crops. This project will provide educational opportunities for diverse students and researchers at multiple training levels, through directed efforts to recruit individuals from traditionally underrepresented groups.<br/> <br/>This project integrates comparative genomics, inflorescence developmental transcriptomics, molecular evolutionary analyses, and functional approaches to decipher the genomic basis of a key floral trait – the capitulum – in the sunflower family (Asteraceae) and related flowering plant lineages. This project will enable the testing of hypotheses related to the role of gene duplication and genome evolution in driving evolutionary novelty, the evolutionary forces involved in the origin of the capitulum, and the repeatability of the evolutionary process across plant lineages. The integrated approach will enable the testing of predictive hypotheses about inflorescence development in Asteraceae and related flowering plant lineages. The primary scientific goals are to: (1) decipher the molecular basis of the Asteraceae capitulum using comparative transcriptomic approaches; (2) determine whether the independent origins of capitula arose via common evolutionary processes and genomic mechanisms; and (3) analyze the functional role of key capitulum genes, targeting established stem cell regulatory genes and candidates identified through comparative/evolutionary genomic analyses. This project will generate high-quality genomes and curated inflorescence transcriptomes for multiple species complemented by comparative genomic and evolutionary analyses. These resources and the resulting data will be disseminated via peer-reviewed publications and public presentations and will be made freely available via deposition in public repositories and databases including the National Center for Biotechnology Information Sequence Read Archive (NCBI-SRA; https://www.ncbi.nlm.nih.gov/sra), Phytozome (https://phytozome-next.jgi.doe.gov/), the Gene Expression Omnibus (GEO; http://ncbi.nlm.nih.gov/geo), FigShare (https://figshare.com/), and Dryad (https://dryad.org/).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Arizona State University,,United States,arXiv,Andrea Richa,2018-01-01,2021-12-31,,,2018,240000,USD,"240,000.00",nsf,,1733680,AiTF: Collaborative Research: Distributed and Stochastic Algorithms for Active Matter: Theory and Practice,"Swarm robotics explores how groups of robots can work towards a singular goal, which is typically achieved by equipping each robot with sensory capabilities, basic computing power, and movement. The sensors detect and use information about the environment to decide on the next action. Swarm robotics has made many advances in recent years, but is still in its infancy. This project proposes to explore swarm robotics systems in a non-standard way as physical systems. The PIs take a ""task-oriented"" approach to develop the distributed algorithmic rules that the robots will run (at the microscopic level) in order to converge to the desired collective behavior (at the macroscopic level). This will provide understanding of the minimal requirements for individuals to accomplish the desired behavior, for both algorithmic and physical realizations, and will provide a more principled approach for studying swarm robotics. The robots envisioned are small in scale, ranging in size from millimeters to centimeters, so that when deployed in dense environments, they will behave as programmable active matter.<br/><br/>The PIs have strong records for interdisciplinary research, including initiating interdisciplinary areas (e.g., robo-physics, self-organizing particle systems, and the fusion of statistical physics and randomized algorithms). They have a strong commitment toward supporting minorities, women, and undergrad research (e.g., through NSF REUs, including through this project, NSF S-STEM programs at ASU; ADVANCE and S.U.R.E. programs at Georgia Tech). Any breakthrough in this combination of swarm and active matter systems will require employing analyses and techniques from stochastic systems, condensed matter physics, swarm systems, robotics, and distributed algorithms to understand and achieve the desired group dynamics, and hence will bring together and educate researchers from different disciplines and specialties. New research approaches and findings will be incorporated into multiple graduate courses and workshops will provide tutorials for bridging multiple disciplines, making material accessible to young researchers and helping to widely disseminate results. Findings (including open source code) will be published in the various disciplines, and will be be made available on our web pages and ArXiv. <br/> <br/>The project explores the fundamentals of swarm robotics from a physics standpoint, by viewing the ensemble as active matter composed of programmable elements at the micro-level. The project will follow a (macro-)task oriented approach, and design a distributed stochastic algorithmic framework to design and evaluate algorithms at the micro-level that will yield the targeted emergent macroscopic behavior. The emergent behaviors it addresses include compression (maintaining coherence of a connected community while minimizing perimeter), bridging (connecting two or more locations in the most efficient manner), alignment (determining an agreed upon direction of orientation), jamming (obstruction of movement by increased collective flow), and locomotion (collectively moving while maintaining cohesiveness). Many of these have interesting converse problems which are also equally worthwhile, such as exploration (maintaining a connected population, but exploring maximal area) and non-alignment (representing a disordered ensemble). In some cases the collective behavior acts like a physical system changing between a liquid (disordered) and a solid (ordered) state, as determined by phase transitions in the systems. The project will explore stochastic and distributed algorithms for rigorously achieving these goals.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Georgia Tech Research Corporation,,United States,arXiv,Dana Randall,2018-01-01,2022-12-31,,,2018,424000,USD,"424,000.00",nsf,,1733812,AiTF: Collaborative Research: Distributed and Stochastic Algorithms for Active Matter: Theory and Practice,"Swarm robotics explores how groups of robots can work towards a singular goal, which is typically achieved by equipping each robot with sensory capabilities, basic computing power, and movement. The sensors detect and use information about the environment to decide on the next action. Swarm robotics has made many advances in recent years, but is still in its infancy. This project proposes to explore swarm robotics systems in a non-standard way as physical systems. The PIs take a ""task-oriented"" approach to develop the distributed algorithmic rules that the robots will run (at the microscopic level) in order to converge to the desired collective behavior (at the macroscopic level). This will provide understanding of the minimal requirements for individuals to accomplish the desired behavior, for both algorithmic and physical realizations, and will provide a more principled approach for studying swarm robotics. The robots envisioned are small in scale, ranging in size from millimeters to centimeters, so that when deployed in dense environments, they will behave as programmable active matter.<br/><br/>The PIs have strong records for interdisciplinary research, including initiating interdisciplinary areas (e.g., robo-physics, self-organizing particle systems, and the fusion of statistical physics and randomized algorithms). They have a strong commitment toward supporting minorities, women, and undergrad research (e.g., through NSF REUs, including through this project, NSF S-STEM programs at ASU; ADVANCE and S.U.R.E. programs at Georgia Tech). Any breakthrough in this combination of swarm and active matter systems will require employing analyses and techniques from stochastic systems, condensed matter physics, swarm systems, robotics, and distributed algorithms to understand and achieve the desired group dynamics, and hence will bring together and educate researchers from different disciplines and specialties. New research approaches and findings will be incorporated into multiple graduate courses and workshops will provide tutorials for bridging multiple disciplines, making material accessible to young researchers and helping to widely disseminate results. Findings (including open source code) will be published in the various disciplines, and will be be made available on our web pages and ArXiv. <br/> <br/>The project explores the fundamentals of swarm robotics from a physics standpoint, by viewing the ensemble as active matter composed of programmable elements at the micro-level. The project will follow a (macro-)task oriented approach, and design a distributed stochastic algorithmic framework to design and evaluate algorithms at the micro-level that will yield the targeted emergent macroscopic behavior. The emergent behaviors it addresses include compression (maintaining coherence of a connected community while minimizing perimeter), bridging (connecting two or more locations in the most efficient manner), alignment (determining an agreed upon direction of orientation), jamming (obstruction of movement by increased collective flow), and locomotion (collectively moving while maintaining cohesiveness). Many of these have interesting converse problems which are also equally worthwhile, such as exploration (maintaining a connected population, but exploring maximal area) and non-alignment (representing a disordered ensemble). In some cases the collective behavior acts like a physical system changing between a liquid (disordered) and a solid (ordered) state, as determined by phase transitions in the systems. The project will explore stochastic and distributed algorithms for rigorously achieving these goals.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Arizona State University,,United States,arXiv,Andrea Richa,2016-09-01,2019-08-31,,,2016,100000,USD,"100,000.00",nsf,,1637393,AitF: Collaborative Research: A Distributed and Stochastic Algorithmic Framework for Active Matter,"Swarm robotics explores how groups of robots can work towards a singular goal. Such a goal is typically achieved by equipping each robot with sensory capabilities, basic computing power, and actuation. The sensors detect something about the environment, this information is used to make a decision about the next action, and some resulting actuation is performed. Swarm robotics has made many advances in recent years, but it is still in its infancy. The PIs will take a ""task-oriented"" approach and start from a desired macroscopic emergent collective behavior to develop the distributed and stochastic algorithmic underpinnings that the robots will run (at the microscopic level) in order to converge to the desired macroscopic behavior; as part of the process, they will also provide the understanding for yet unexplored collective and emergent systems. The robots envisioned are small in scale, ranging in size from millimeters to centimeters, so that when deployed in crowded (i.e., dense) environments, they will behave as active matter, more specifically as macroscopic programmable active matter. The emergent behaviors of interest for simulations include clustering (forming a tight-knit community that is mostly well-connected), compression (maintaining coherence of a connected community while minimizing perimeter), flocking (determining an agreed upon direction of orientation), and locomotion (collectively moving while maintaining cohesiveness). Many of these have interesting converse problems which are also equally worthwhile, such as exploration (maintaining a connected population, but exploring maximal area) and desegregation (preventing separation in a binary mixture of particles).<br/><br/>The PIs have strong records for interdisciplinary research, including initiating interdisciplinary areas, e.g., robo-physics (Goldman), self-organizing particle systems (Richa), and the fusion of statistical physics and randomized algorithms (Randall). The PIs also have a strong commitment toward supporting minorities, women, and undergraduate research (e.g., through NSF S-STEM programs at ASU; ADVANCE and S.U.R.E. programs at Georgia Tech). This project will bring together techniques from multiple disciplines, and new research approaches and findings will be incorporated into graduate courses. Findings (including open source code) will be published in the various disciplines, and will be made available on the web and ArXiv.<br/><br/>The specific goals of this project are to work toward developing a theoretical framework for task-oriented active matter, informed by models of simple physical systems, that can realize and test the algorithms. The swarm robotics systems that biophysicists build to understand nature can be modified to perform the tasks these new algorithms require. The physical models will allow refinements to the theories under additional constraints, such as gravity and limited energy. It also will allow the PIs to test their algorithms for robustness, as physical systems admit some error. The fundamentals of swarm robotics will be studied from a physics standpoint, by viewing the ensemble as active matter composed of programmable elements at the micro-level. Thus, a (macro-)task oriented approach will be followed in order to design a distributed, stochastic algorithmic framework to construct and evaluate algorithms at the micro-level that yield the targeted emergent macro-behavior.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Georgia Tech Research Corporation,,United States,arXiv,Dana Randall,2016-09-01,2019-08-31,,,2016,200000,USD,"200,000.00",nsf,,1637031,AitF: Collaborative Research: A Distributed and Stochastic Algorithmic Framework for Active Matter,"Swarm robotics explores how groups of robots can work towards a singular goal. Such a goal is typically achieved by equipping each robot with sensory capabilities, basic computing power, and actuation. The sensors detect something about the environment, this information is used to make a decision about the next action, and some resulting actuation is performed. Swarm robotics has made many advances in recent years, but it is still in its infancy. The PIs will take a ""task-oriented"" approach and start from a desired macroscopic emergent collective behavior to develop the distributed and stochastic algorithmic underpinnings that the robots will run (at the microscopic level) in order to converge to the desired macroscopic behavior; as part of the process, they will also provide the understanding for yet unexplored collective and emergent systems. The robots envisioned are small in scale, ranging in size from millimeters to centimeters, so that when deployed in crowded (i.e., dense) environments, they will behave as active matter, more specifically as macroscopic programmable active matter. The emergent behaviors of interest for simulations include clustering (forming a tight-knit community that is mostly well-connected), compression (maintaining coherence of a connected community while minimizing perimeter), flocking (determining an agreed upon direction of orientation), and locomotion (collectively moving while maintaining cohesiveness). Many of these have interesting converse problems which are also equally worthwhile, such as exploration (maintaining a connected population, but exploring maximal area) and desegregation (preventing separation in a binary mixture of particles).<br/><br/>The PIs have strong records for interdisciplinary research, including initiating interdisciplinary areas, e.g., robo-physics (Goldman), self-organizing particle systems (Richa), and the fusion of statistical physics and randomized algorithms (Randall). The PIs also have a strong commitment toward supporting minorities, women, and undergraduate research (e.g., through NSF S-STEM programs at ASU; ADVANCE and S.U.R.E. programs at Georgia Tech). This project will bring together techniques from multiple disciplines, and new research approaches and findings will be incorporated into graduate courses. Findings (including open source code) will be published in the various disciplines, and will be made available on the web and ArXiv.<br/><br/>The specific goals of this project are to work toward developing a theoretical framework for task-oriented active matter, informed by models of simple physical systems, that can realize and test the algorithms. The swarm robotics systems that biophysicists build to understand nature can be modified to perform the tasks these new algorithms require. The physical models will allow refinements to the theories under additional constraints, such as gravity and limited energy. It also will allow the PIs to test their algorithms for robustness, as physical systems admit some error. The fundamentals of swarm robotics will be studied from a physics standpoint, by viewing the ensemble as active matter composed of programmable elements at the micro-level. Thus, a (macro-)task oriented approach will be followed in order to design a distributed, stochastic algorithmic framework to construct and evaluate algorithms at the micro-level that yield the targeted emergent macro-behavior.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of North Carolina at Chapel Hill,,United States,Dryad,Kenneth Lohmann,2015-08-01,2020-07-31,,,2015,555000,USD,"555,000.00",nsf,,1456923,Geomagnetic Imprinting and Natal Homing in Sea Turtles,"The ability of animals to guide themselves unerringly during long-distance migrations has inspired both awe and envy in humans, who only recently, through global positioning technology, managed to equal the skills of elite animal navigators such as loggerhead sea turtles. These turtles leave their home beaches as hatchlings and migrate across entire ocean basins before returning years later to nest in the same coastal area where they originated. How adult turtles navigate to their natal beaches has remained enigmatic, but accumulating evidence suggests that turtles imprint on the unique geomagnetic signature of their natal beach and then use this information to return. The research will investigate the geomagnetic imprinting hypothesis using a multidisciplinary approach. Results will assist efforts to conserve animals such as sea turtles that undergo natal homing. For example, attempts to reintroduce sea turtles to geographic areas where they once nested have been largely unsuccessful because young turtles released in such areas seldom return as adults. An improved understanding of how turtles find their home beaches may help save these jeopardized species from extinction. Findings are also likely to reveal new modes of navigation that can be adapted for guidance systems of humans and autonomous vehicles. Broader impacts include providing research experience for undergraduate and graduate students, broadcasting findings into K12 classrooms through the North Carolina Museum of Natural History, and creating instructional web modules for K12 education, thereby enhancing both science education and public awareness of endangered sea turtles.<br/><br/>The long-term objective of the research is to determine the behavioral and sensory mechanisms that underlie natal homing in sea turtles and other long-distance marine migrants. The research will test several central predictions of the geomagnetic imprinting hypothesis: (1) behavioral experiments will investigate whether nesting adult female turtles locate their natal beaches using the unique magnetic signature of their natal area; (2) statistical analyses will be used to determine whether the spatial distribution of turtle nests along continental coastlines is affected by fluctuations in Earth's magnetic field, as the geomagnetic imprinting hypothesis predicts; and (3) magnetic orientation behavior of turtle embryos prior to hatching will be studied to determine if imprinting might occur during development. Results and data will be disseminated primarily in scientific journals; when possible, appropriate data and metadata files will be posted in online supplementary materials or with services such as Dryad, which many journals now support.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Davis,,United States,arXiv,Gregory Kuperberg,2017-09-01,2021-08-31,,,2017,471946,USD,"471,946.00",nsf,,1716990,"AF: Small: Quantum Theory, Computational Complexity, and Geometry/Topology","The aim of the project is to explore relations between quantum theory, computational complexity, and geometry and topology.<br/><br/>In the intersection of geometry/topology and computational complexity, the project will research the computational difficulty of topological properties of knots and links in ordinary 3-dimensional space, and of 3-dimensional manifolds. For instance, when are two 3-manifolds the same? Or, given a diagram of a knot, is it the unknot? The project will explore both easiness results, that certain answers can be computed quickly, possibly with artificial help; and hardness results, that certain answers are intrinsically difficult to compute.<br/><br/>In the intersection of quantum theory and computational complexity, the project will consider both easiness results and hardness results for core problems in quantum computation. One of the most exciting mathematical discoveries of our era is the concept of a new type of computer, a quantum computer, that would be able to run new algorithms that cannot be run on a standard computer. A fundamental question which will be addressed by this research is what quantum computers would be able to do, if they were built.<br/><br/>In the intersection of quantum theory and geometry and topology, the project will consider geometric problems with implications for quantum non-locality as described by Einstein-Podolsky-Rosen and by John Bell. The project will also consider new geometric spaces motivated by the theory of quantum error correction in quantum computation.<br/><br/>The broader impacts of the project begin with the importance of its research areas. In particular, if quantum computers are eventually built, then their impact on society will be substantial. The proposed research has various implications for quantum computation. The project will disseminate its results through the arXiv e-print server, and help support the arXiv. The project will also develop expositions in quantum computation and computational complexity.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Davis,,United States,arXiv,Gregory Kuperberg,2013-09-01,2018-02-28,,,2013,427130,USD,"427,130.00",nsf,,1319245,Quantum methods in mathematics and computer science,"The aim of this project is to explore theoretical ideas in mathematics and computer science that are related to quantum mechanics. Quantum mechanics is a physical theory that, notably, requires a new model of probability theory that can be called quantum probability, and this in turn leads to the theory of quantum computing and the possibility of building quantum computers. The project will investigate quantum algorithms (algorithms that could be run on quantum computers) for problems in topology, for example determining whether two knots are equivalent or different. The project will also investigate quantum error correction (a new kind of error correction that would be needed by quantum computers) in the setting of a new kind of geometry, ""quantum metric spaces"", in which distances are defined in the language of quantum probability. Finally the project will explore quantum algebra, which is a kind of modern algebra with non-commuting variables also inspired by quantum mechanics and which has relations to quantum computing.<br/><br/>This project will have at least two and potentially three broader impacts. First, all work will be disseminated on the arXiv, a widely used preprint server that includes most work in quantum computing, and the principal investigator will help support the arXiv. Second, the project will include development of lecture notes, which could be made into a future graduate textbook, on quantum probability, quantum computing, and quantum mechanics. Third, if quantum computers are ever build, they will have an extremely broad impact, and the ideas in this project will play a role.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Los Angeles,,United States,Dryad,Noa Pinter-Wollman,2016-09-20,2019-05-31,,,2016,276765,USD,"276,765.00",nsf,,1708455,Collaborative Research: The Effects of Keystone Individuals on Collective Behavior,"The collective behavior of societies emerges from self-organized interactions among group members. Traditionally, group members have been thought of as identical individuals, but behavioral variation is prevalent in nature. This variation can be extreme and one group member, referred to here as the keystone individual, may have a greater impact on the collective behavior of a group than all other individuals. For example, some individuals may lead a group, tutor others or function as super-spreaders of information or disease. Despite the potential impact of keystone individuals on the success of a group, little is known about how and why this influence emerges. The investigators will use social spiders that can be easily manipulated and observed at the individual and group levels to test hypotheses about the emergence of collective behavior, hypotheses that cannot be easily evaluated in more complex systems. In addition to the numerous undergraduate and graduate research projects this project will generate, the proposed work will also be translated into hands-on activities about collective behavior geared towards the education of K-12 students though established and successful outreach programs. Adult science education activities to enhance public knowledge of invertebrate biology will include public lectures, media coverage, and conversations at local communities where the field work occurs.<br/> <br/>This research aims to examine the mechanisms by which keystone individuals affect collective behavior, the effects of keystones on the development of collective behaviors and the ecological and evolutionary consequences of the presence of keystone individuals in groups. Using a model system that allows for detailed experimental manipulations, the social spider (Stegodyphus dumicola), will allow the investigators to develop a broad theory to enhance the progress of science on keystone individuals. Specifically, this work will (1) test whether keystone individuals produce tradeoffs among colony-level processes such as prey capture and disease spread, and how these tradeoffs change colony performance in different environments; (2) uncover the temporal dynamics of the effects of keystone individuals on the development of collective behaviors in the field; (3) elucidate the behavioral mechanisms that underlie the catalytic effects of keystone individuals on the behavior of other group members and collective outcomes; and (4) design versatile agent-based models that will uncover the general mechanisms by which keystone individuals influence collective behaviors. The investigators will address these questions by combining lab and field experiments, analyzed with sophisticated image analysis technology and social network theory, with computational modeling. Published data sets will be uploaded for use by others to Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-San Diego,,United States,Dryad,Noa Pinter-Wollman,2015-06-01,2016-12-31,,,2015,310000,USD,"310,000.00",nsf,,1456010,Collaborative Research: The Effects of Keystone Individuals on Collective Behavior,"The collective behavior of societies emerges from self-organized interactions among group members. Traditionally, group members have been thought of as identical individuals, but behavioral variation is prevalent in nature. This variation can be extreme and one group member, referred to here as the keystone individual, may have a greater impact on the collective behavior of a group than all other individuals. For example, some individuals may lead a group, tutor others or function as super-spreaders of information or disease. Despite the potential impact of keystone individuals on the success of a group, little is known about how and why this influence emerges. The investigators will use social spiders that can be easily manipulated and observed at the individual and group levels to test hypotheses about the emergence of collective behavior, hypotheses that cannot be easily evaluated in more complex systems. In addition to the numerous undergraduate and graduate research projects this project will generate, the proposed work will also be translated into hands-on activities about collective behavior geared towards the education of K-12 students though established and successful outreach programs. Adult science education activities to enhance public knowledge of invertebrate biology will include public lectures, media coverage, and conversations at local communities where the field work occurs.<br/> <br/>This research aims to examine the mechanisms by which keystone individuals affect collective behavior, the effects of keystones on the development of collective behaviors and the ecological and evolutionary consequences of the presence of keystone individuals in groups. Using a model system that allows for detailed experimental manipulations, the social spider (Stegodyphus dumicola), will allow the investigators to develop a broad theory to enhance the progress of science on keystone individuals. Specifically, this work will (1) test whether keystone individuals produce tradeoffs among colony-level processes such as prey capture and disease spread, and how these tradeoffs change colony performance in different environments; (2) uncover the temporal dynamics of the effects of keystone individuals on the development of collective behaviors in the field; (3) elucidate the behavioral mechanisms that underlie the catalytic effects of keystone individuals on the behavior of other group members and collective outcomes; and (4) design versatile agent-based models that will uncover the general mechanisms by which keystone individuals influence collective behaviors. The investigators will address these questions by combining lab and field experiments, analyzed with sophisticated image analysis technology and social network theory, with computational modeling. Published data sets will be uploaded for use by others to Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Santa Barbara,,United States,Dryad,Jonathan Pruitt,2016-01-01,2019-05-31,,,2016,321582,USD,"321,582.00",nsf,,1626668,Collaborative Research: The Effects of Keystone Individuals on Collective Behavior,"The collective behavior of societies emerges from self-organized interactions among group members. Traditionally, group members have been thought of as identical individuals, but behavioral variation is prevalent in nature. This variation can be extreme and one group member, referred to here as the keystone individual, may have a greater impact on the collective behavior of a group than all other individuals. For example, some individuals may lead a group, tutor others or function as super-spreaders of information or disease. Despite the potential impact of keystone individuals on the success of a group, little is known about how and why this influence emerges. The investigators will use social spiders that can be easily manipulated and observed at the individual and group levels to test hypotheses about the emergence of collective behavior, hypotheses that cannot be easily evaluated in more complex systems. In addition to the numerous undergraduate and graduate research projects this project will generate, the proposed work will also be translated into hands-on activities about collective behavior geared towards the education of K-12 students though established and successful outreach programs. Adult science education activities to enhance public knowledge of invertebrate biology will include public lectures, media coverage, and conversations at local communities where the field work occurs.<br/> <br/>This research aims to examine the mechanisms by which keystone individuals affect collective behavior, the effects of keystones on the development of collective behaviors and the ecological and evolutionary consequences of the presence of keystone individuals in groups. Using a model system that allows for detailed experimental manipulations, the social spider (Stegodyphus dumicola), will allow the investigators to develop a broad theory to enhance the progress of science on keystone individuals. Specifically, this work will (1) test whether keystone individuals produce tradeoffs among colony-level processes such as prey capture and disease spread, and how these tradeoffs change colony performance in different environments; (2) uncover the temporal dynamics of the effects of keystone individuals on the development of collective behaviors in the field; (3) elucidate the behavioral mechanisms that underlie the catalytic effects of keystone individuals on the behavior of other group members and collective outcomes; and (4) design versatile agent-based models that will uncover the general mechanisms by which keystone individuals influence collective behaviors. The investigators will address these questions by combining lab and field experiments, analyzed with sophisticated image analysis technology and social network theory, with computational modeling. Published data sets will be uploaded for use by others to Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Pittsburgh,,United States,Dryad,Jonathan Pruitt,2015-06-01,2016-02-29,,,2015,119764,USD,"119,764.00",nsf,,1455895,Collaborative Research: The Effects of Keystone Individuals on Collective Behavior,"The collective behavior of societies emerges from self-organized interactions among group members. Traditionally, group members have been thought of as identical individuals, but behavioral variation is prevalent in nature. This variation can be extreme and one group member, referred to here as the keystone individual, may have a greater impact on the collective behavior of a group than all other individuals. For example, some individuals may lead a group, tutor others or function as super-spreaders of information or disease. Despite the potential impact of keystone individuals on the success of a group, little is known about how and why this influence emerges. The investigators will use social spiders that can be easily manipulated and observed at the individual and group levels to test hypotheses about the emergence of collective behavior, hypotheses that cannot be easily evaluated in more complex systems. In addition to the numerous undergraduate and graduate research projects this project will generate, the proposed work will also be translated into hands-on activities about collective behavior geared towards the education of K-12 students though established and successful outreach programs. Adult science education activities to enhance public knowledge of invertebrate biology will include public lectures, media coverage, and conversations at local communities where the field work occurs.<br/> <br/>This research aims to examine the mechanisms by which keystone individuals affect collective behavior, the effects of keystones on the development of collective behaviors and the ecological and evolutionary consequences of the presence of keystone individuals in groups. Using a model system that allows for detailed experimental manipulations, the social spider (Stegodyphus dumicola), will allow the investigators to develop a broad theory to enhance the progress of science on keystone individuals. Specifically, this work will (1) test whether keystone individuals produce tradeoffs among colony-level processes such as prey capture and disease spread, and how these tradeoffs change colony performance in different environments; (2) uncover the temporal dynamics of the effects of keystone individuals on the development of collective behaviors in the field; (3) elucidate the behavioral mechanisms that underlie the catalytic effects of keystone individuals on the behavior of other group members and collective outcomes; and (4) design versatile agent-based models that will uncover the general mechanisms by which keystone individuals influence collective behaviors. The investigators will address these questions by combining lab and field experiments, analyzed with sophisticated image analysis technology and social network theory, with computational modeling. Published data sets will be uploaded for use by others to Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Florida,,United States,Dryad,Christine Miller,2016-02-01,2022-01-31,,,2016,843925,USD,"843,925.00",nsf,,1553100,"CAREER: Fighting Behavior, Performance, and the Evolution of Shape","The completion of this project will boost human knowledge of biological evolution through the study of animal weapons. Understanding evolution is essential for figuring out solutions to modern problems such as antibiotic resistance, a major problem in medicine, and for understanding how life on our planet became so diverse and how it will change next. Animal weapons including such intriguing structures as horns on bighorn sheep, antlers on deer, and tusks on elephants, have fascinated people for centuries. The earliest-known human paintings show wild animals fighting with weapons. In spite of the interest these structures have attracted, understanding of weapon diversity is in its infancy. This project will increase understanding of why even closely-related species can have profoundly different weapons. Simultaneously, it will provide important insights into why other shapes and forms in nature can be so variable. Data and specimens collected as part of this project will be stored in scientific archives and museums, where they will be shared freely with other researchers for use in future projects. This project will also contribute directly to the science education of more than two hundred college students. These students will learn how to do science and to recognize that science is a process, not just a collection of facts. The researchers will also interact and share their results with the general public through blogs, presentations, and student-made videos about experiences doing science.<br/><br/>The diverse traits resulting from sexual selection offer outstanding opportunities for understanding the evolutionary interactions between behavior and morphology. It is now well established that mate choice and male-male competition can select for differences in the sizes of ornaments and weapons. However the evolution of the shape of these traits is more puzzling. Why has such shape diversity evolved? In the case of animal weapons, habitat-driven changes in male-male competitive behavior are hypothesized to be a central factor. However, explicit tests of this hypothesis are virtually nonexistent. This project will examine the roles of fighting behavior, ecology, and function in the evolution of weapon shape, capitalizing on the extreme weapon shape diversity and myriad of fighting styles in leaf-footed bugs (Hemiptera: Coreidae) to address the long-standing puzzle of weapon shape diversity. Methods include experimental selection analyses, finite element analysis, phylogenetics, and ancestral state reconstructions. The successful completion of this project will offer an unprecedented analysis of the evolutionary interplay between behavior and morphology, using the medium of weaponry. Data and specimens will be stored and shared with other scientists through international archives, including NCBI, DRYAD, and the Florida Museum of Natural History. Over 200 undergraduates will contribute to the completion of this project through Course-based Undergraduate Research Experiences (CURE), and curricular materials developed for this purpose will be shared with other educators through workshops and publications. Training in the integration of research and education will also be provided to a postdoctoral researcher, graduate students, and undergraduates. Substantial outreach will be accomplished through the production of short videos by students, blogs, research spotlights, social media, and public presentations.",,Repository service,,,"Repository service, , "
oic_scrape,OPS,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,"University of California, Office of the President, Oakland",,United States,Dryad,John Chodacki,2019-09-01,2023-08-31,,,2019,870922,USD,"870,922.00",nsf,,1933812,"Enabling the Access, Publishing, and Preservation of Curated Research Data at Dryad","The Dryad Digital Repository (datadryad.org) is a popular general purpose repository for datasets predominantly, though not exclusively, from the biosciences. Since 2009, Dryad has published 28,000 research datasets that represent over 900 academic journals. By curating data from a broad diversity of scientific studies, quality research data are now available around the world. Dryad's open licensing of published research data promotes discover-ability and access of research findings, which enables the reuse and reproducibility of an ever-increasing collection of diverse and high-quality data to advance research and education. Datasets in Dryad are indexed for easy discovery, freely reusable, and cite-able. Dryad has been broadly adopted by the biological community with more than 3 million downloads. The data packages submitted to Dryad are diverse in format and scientific content. Two key distinguishing features of Dryad are: the ease with which researchers can deposit their datasets through the integrations Dryad has with over 140 journals, and the curation applied across all submitted datasets in accordance with the FAIR principles for data repositories (Findable, Accessible, Interoperable, and Reusable). However, the reach and impact of Dryad goes far beyond the set of journals that have direct integrations. Over the past 10 years, Dryad has allowed hundreds of journals to give their data policies teeth and 96,000 researchers a resource for funder and publisher mandate compliance. <br/><br/>Dryad is a membership-based 501c3 non-profit and membership-led organization that provides transparent governance by the community of stakeholders (including scientific societies, publishers, institutions, and others) to ensure the continued free availability of the research data entrusted to it. Dryad is working in partnership with California Digital Library to build wider institutional support and a more robust longevity plan. This project will provide limited support for the curation, preservation, and access of research data at Dryad, with the goal of Dryad becoming a self sustaining service. With this support, Dryad is on track to reach sustainability within three years at which the operational costs of running the organization are fully funded by Data Publishing Charges and membership fees. The Dryad Digital Repository may be accessed at https://datadryad.org.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,COMM,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,University of North Carolina at Chapel Hill,,United States,Dryad,Todd Vision,2016-09-01,2019-08-31,,,2016,762089,USD,"762,089.00",nsf,,1564925,ABI Sustaining: Enabling the preservation of research data underlying scientific findings through the Dryad Digital Repository,"The Dryad Digital Repository is a curated repository for data that are integral to the findings of scientific and medical publications. The repository receives data directly from original researchers, typically at the time of publication, preserves it for the long term, and makes it freely available for reuse. Through partnerships with journals, scientific societies and publishers, Dryad makes possible the successful implementation of a diverse set of data archiving policies. It is managed by the Dryad not-for-profit organization, which has a scalable and distributed source of revenue through one-time data publication charges, purchased both by organizations and individual researchers, and a secondary source of revenue, as well as a mechanism for stakeholder governance, through organizational memberships. This award will enable Dryad to achieve the scale required for sustainability through continued growth and extension to new research communities. At the same time, it will enable the continued growth of the repository's valuable collection of diverse and high-quality data for research and education.<br/><br/>The Dryad Digital Repository is a highly customized instance of the DSpace open source repository platform. A key distinguishing feature of Dryad is the ease with which researchers can deposit their data alongside their manuscript through integration with the manuscript submission process. Another key feature is curation: data is inspected prior to release by professional data curators and, optionally, by expert peer reviewers. Success of this award can be measured by the use of the repository by the research community. Indicators include the number of new datasets released; the number of datasets downloaded; the number of instances of data reuse that can be tracked; the number of integrated journals; the number of new members; the number of new sponsors; and the revenues received through data publication charges. The Dryad Digital Repository is available at http://datadryad.org.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Cornell University,,United States,Dryad,Walter Koenig,2015-08-01,2018-07-31,,,2015,120743,USD,"120,743.00",nsf,,1455881,COLLABORATIVE RESEARCH: Evolution of Cooperation in Social Woodpeckers,"The goal of this project is to understand the evolution of complex social evolution using, as a model species, the acorn woodpecker (Melanerpes formicivorus), a highly social bird common in the southwestern United States. Acorn woodpeckers live in family groups of up to 15 individuals containing a combination of ""helpers""--young that remain in their natal group and help raise younger siblings--and multiple breeders of both sexes, a rare mating system known as polygynandry found in several primate species. Researchers will combine cutting edge tracking technology with long-term demographic data, experimental studies, and genetic analyses to understand why helpers sacrifice reproduction to feed young that are not their own, and why helpers vary so much in their willingness to help their parents raise other siblings. The project will involve the training of a postdoctoral associate, a Ph.D. student, and 36 - 60 undergraduate and recent postgraduate students who will participate in the field and laboratory aspects of the study. The lead researchers will communicate their findings to the public through publications, outreach activities of the Cornell Lab of Ornithology, and television documentaries.<br/><br/>The project will focus specifically on determining: (1) the extent to which provisioning behavior by helpers per se, rather than other behaviors unrelated to provisioning that helpers engage in on their territory, is responsible for the indirect fitness benefits gained by helpers that remain in their natal group; (2) whether individual variability in helping behavior is due to differences in the amount of time helpers spend away from their natal territory or differences in their provisioning effort while present at the territory; and (3) the role that direct fitness benefits such as experience gained by helping or ""pay-to-stay"" play in the evolution of provisioning behavior. These goals will be achieved by (i) combining over 40 years of continuous monitoring of a color-banded population in which parentage is assigned genetically; (ii) conducting behavioral watches of provisioning behavior; and (iii) deploying solar-powered ""nanotags"" that will allow researchers to continuously monitor the location of individuals in the population. The project will disentangle the fitness benefits and drivers of provisioning behavior by helpers, thus providing a new understanding of the evolution of this putatively altruistic behavior. Data associated with specific publications will be made available in Dryad, whereas the more general datasets acquired as part of the project will be archived either with the Network Information System (NIS) designed for the LTER program (when it is expanded to include other long-term projects) or, alternatively, as a collection within the iPlant Data Store funded by the NSF Division of Biological Infrastucture.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Gonzaga University,,United States,Dryad,Joseph Haydock,2015-08-01,2019-07-31,,,2015,114056,USD,"114,056.00",nsf,,1455949,COLLABORATIVE RESEARCH: Evolution of Cooperation in Social Woodpeckers,"The goal of this project is to understand the evolution of complex social evolution using, as a model species, the acorn woodpecker (Melanerpes formicivorus), a highly social bird common in the southwestern United States. Acorn woodpeckers live in family groups of up to 15 individuals containing a combination of ""helpers""--young that remain in their natal group and help raise younger siblings--and multiple breeders of both sexes, a rare mating system known as polygynandry found in several primate species. Researchers will combine cutting edge tracking technology with long-term demographic data, experimental studies, and genetic analyses to understand why helpers sacrifice reproduction to feed young that are not their own, and why helpers vary so much in their willingness to help their parents raise other siblings. The project will involve the training of a postdoctoral associate, a Ph.D. student, and 36 - 60 undergraduate and recent postgraduate students who will participate in the field and laboratory aspects of the study. The lead researchers will communicate their findings to the public through publications, outreach activities of the Cornell Lab of Ornithology, and television documentaries.<br/><br/>The project will focus specifically on determining: (1) the extent to which provisioning behavior by helpers per se, rather than other behaviors unrelated to provisioning that helpers engage in on their territory, is responsible for the indirect fitness benefits gained by helpers that remain in their natal group; (2) whether individual variability in helping behavior is due to differences in the amount of time helpers spend away from their natal territory or differences in their provisioning effort while present at the territory; and (3) the role that direct fitness benefits such as experience gained by helping or ""pay-to-stay"" play in the evolution of provisioning behavior. These goals will be achieved by (i) combining over 40 years of continuous monitoring of a color-banded population in which parentage is assigned genetically; (ii) conducting behavioral watches of provisioning behavior; and (iii) deploying solar-powered ""nanotags"" that will allow researchers to continuously monitor the location of individuals in the population. The project will disentangle the fitness benefits and drivers of provisioning behavior by helpers, thus providing a new understanding of the evolution of this putatively altruistic behavior. Data associated with specific publications will be made available in Dryad, whereas the more general datasets acquired as part of the project will be archived either with the Network Information System (NIS) designed for the LTER program (when it is expanded to include other long-term projects) or, alternatively, as a collection within the iPlant Data Store funded by the NSF Division of Biological Infrastucture.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Old Dominion University Research Foundation,,United States,Dryad,Eric Walters,2015-08-01,2024-07-31,,,2015,717865,USD,"717,865.00",nsf,,1455900,COLLABORATIVE RESEARCH: Evolution of Cooperation in Social Woodpeckers,"The goal of this project is to understand the evolution of complex social evolution using, as a model species, the acorn woodpecker (Melanerpes formicivorus), a highly social bird common in the southwestern United States. Acorn woodpeckers live in family groups of up to 15 individuals containing a combination of ""helpers""--young that remain in their natal group and help raise younger siblings--and multiple breeders of both sexes, a rare mating system known as polygynandry found in several primate species. Researchers will combine cutting edge tracking technology with long-term demographic data, experimental studies, and genetic analyses to understand why helpers sacrifice reproduction to feed young that are not their own, and why helpers vary so much in their willingness to help their parents raise other siblings. The project will involve the training of a postdoctoral associate, a Ph.D. student, and 36 - 60 undergraduate and recent postgraduate students who will participate in the field and laboratory aspects of the study. The lead researchers will communicate their findings to the public through publications, outreach activities of the Cornell Lab of Ornithology, and television documentaries.<br/><br/>The project will focus specifically on determining: (1) the extent to which provisioning behavior by helpers per se, rather than other behaviors unrelated to provisioning that helpers engage in on their territory, is responsible for the indirect fitness benefits gained by helpers that remain in their natal group; (2) whether individual variability in helping behavior is due to differences in the amount of time helpers spend away from their natal territory or differences in their provisioning effort while present at the territory; and (3) the role that direct fitness benefits such as experience gained by helping or ""pay-to-stay"" play in the evolution of provisioning behavior. These goals will be achieved by (i) combining over 40 years of continuous monitoring of a color-banded population in which parentage is assigned genetically; (ii) conducting behavioral watches of provisioning behavior; and (iii) deploying solar-powered ""nanotags"" that will allow researchers to continuously monitor the location of individuals in the population. The project will disentangle the fitness benefits and drivers of provisioning behavior by helpers, thus providing a new understanding of the evolution of this putatively altruistic behavior. Data associated with specific publications will be made available in Dryad, whereas the more general datasets acquired as part of the project will be archived either with the Network Information System (NIS) designed for the LTER program (when it is expanded to include other long-term projects) or, alternatively, as a collection within the iPlant Data Store funded by the NSF Division of Biological Infrastucture.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,George Mason University,,United States,Dryad,Larry Rockwood,2015-06-01,2017-12-31,,,2015,16549,USD,"16,549.00",nsf,,1500535,DISSERTATION RESEARCH: Reassessing the role of the Great American Biotic Interchange in the evolution of the raccoon family,"The Great American Biotic Interchange (GABI) was a major biogeographic event that connected the terrestrial animal communities of North and South America via the closure of the Panamanian Isthmus. Geological evidence and the fossil record have suggested that the closure of the isthmus occurred 3 million years ago (mya), but more recent studies suggest a much older age for the formation of a landbridge between North and South America, around 15 mya. Among mammals of North American origin, the raccoon family (Procyonidae), which also includes coatis, kinkajous, olingos, and ringtails, has one of the longest histories in South America. The fossil record shows that an extinct member of this group was the first North American mammal to immigrate to South America, approximately 7-9 mya. While the prevailing hypothesis states that immigration of modern members of this group took place 3 mya, recent estimates based on DNA sequence data revealed that this family has had a much longer tenure in South America. This study will more thoroughly test competing hypotheses regarding the process and timing of evolution of this group, with the potential to revise our understanding of mammal evolution in the Neotropics, while contributing to advancement in the fields of genomics, systematics, taxonomy, and biogeography, as well as promoting the professional development of an early-career female STEM researcher. <br/><br/>This project will use an integrative approach to test competing hypotheses based on genomic analyses of museum specimens, morphometrics, and biogeographic modeling. Ancient DNA techniques in combination with high-throughput sequencing methods will be used to sequence mitochondrial genomes as well as to sample the nuclear genome using a novel intron-capture microarray. Morphometric data will be analyzed separately and in conjunction with comparative genomic data to test hypotheses regarding procyonid evolution and revise the taxonomy of this group. A new biogeographic model for the evolution of the raccoon family that accommodates the most recent DNA and geological evidence will be tested against the traditional fossil-based hypothesis, and will integrate phylogenetic data to reassess the tempo and geographic pattern of diversification associated with the GABI. Results will be shared through scientific publications co-authored by the PI, Co-PI, and collaborators. Genomic and morphological data, protocols, scripts and parameters used in the analyses will be made publicly available through the electronic repositories of NCBI?s Genbank and Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Syracuse University,,United States,arXiv,Lee Kennard,2019-02-15,2020-01-31,,,2019,30000,USD,"30,000.00",nsf,,1855960,Australian-German Workshop on Differential Geometry in the Large,"The international workshop ""Australian-German Workshop on Differential Geometry in the Large"" will take place from February 4-15, 2019, at the MATRIX institute of the University of Melbourne in Creswick, Australia. This workshop has two parts. The first week (February 4-8) will involve an international conference with high-profile speakers who are prominent researchers, mentors, and leaders of professional organizations in Australia, Germany, the U.S., and elsewhere. A research symposium will take place in the second week. Participants will meet in research groups close to their primary research interests. Three goals of this two-part workshop are to highlight recent advances in the geometry, foster communication between experts and early-career researchers, and identify avenues for future work. All three goals will benefit graduate students, postdoctoral researchers, and other early-career mathematicians. The award supports participation of US researchers in this event.<br/> <br/> <br/><br/>The academic focus of the meeting is on recent developments in differential geometry, geometric analysis, and associated topics in differential topology. The plenary speakers were chosen in part with these topics in mind. In addition, the four subjects according to which the participants will be grouped in the second week are as follows:<br/> - Geometric evolution equations and curvature flow<br/> - Structures on manifolds and mathematical physics<br/> - Higher invariants and positive scalar curvature<br/> - Recent developments in non-negative sectional curvature<br/> The results presented in this workshop, as well as a summary of the problem session, is tentatively planned to be published in the London Mathematical Society's Lecture Note Series, as well as in the 2019 MATRIX Annals volume of the MATRIX Book Series. In addition, this information will be made freely available through the arXiv. The webpage for the workshop is below.<br/> <br/> https://www.matrix-inst.org.au/events/australian-german-workshop-on-differential-geometry-in-the-large-conference/<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,SUNY at Stony Brook,,United States,arXiv,Erez Zadok,2019-10-01,2024-09-30,,,2019,764300,USD,"764,300.00",nsf,,1918225,FMitF: Track I: NLP-Assisted Formal Verification of the NFS Distributed File System Protocol,"The Internet's success and growth is owed to standards that ensure computers can talk to each other. These standards are human-written, technical design documents that take years to develop and implement. However, such design documents are often imprecise, and their software implementations do not always conform to their designs. This project aims to speed up the process of designing and implementing Internet standards using: (1) Artificial Intelligence (AI) techniques to automatically process design documents so that flaws in them can be detected and reported quickly, and (2) runtime analysis of software implementations to detect deviations from their respective designs. The project artifacts - software, source code, verified and fixed RFCs, data sets, traces, and results will all be embodied in a system we call ""NFS Validator"". Results will be disseminated using peer-reviewed publications and arxiv.org. All artifacts will be made public through the project Website: https://www.filesystems.org/nfsval, and will be available for at least ten years following the end of the project.<br/><br/>This project will: (1) conduct a major case study involving the complex, distributed Network File System version 4 (NFSv4) protocol; (2) develop a theoretical model of NFSv4's expected behavior using Natural Language Processing (NLP) AI techniques; (3) analyze the model to detect inconsistencies; (4) check the model against another reference implementation that is known to be correct; and (5) monitor an actual running NFS implementation for compliance with our verified theoretical model. The NFS is a popular and growing protocol that enables users to access their files and data across any network. The NFSv4 design documents are fairly complex and over 500 pages long. This project will (1) help accelerate NFSv4's ongoing design, development, and adoption; (2) advance the state of the art in NLP/AI techniques to understand human-written design documents; (3) advance the state of the art in formally modeling and verifying such designs; (4) train and educate graduate and undergraduate students; and (5) produce results that are applicable to many other Internet standards.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Missouri-Columbia,,United States,arXiv,Steven Hofmann,2011-07-01,2015-06-30,,,2011,294749,USD,"294,749.00",nsf,,1101244,"Uniform rectifiability, Singular Integrals and Harmonic Measure","The investigator plans to investigate several questions linked by the common themes of local Tb Theorems, and the interplay between singular integral estimates, Poisson kernel estimates, square function estimates, and the regularity of boundaries. Among the main directions of the proposed research are: 1. To investigate the relationships among boundedness of layer potentials, properties of harmonic measure, and uniform rectifiability. 2. To investigate the structure of uniformly rectifiable sets. 3. To develop and apply ""local"" Tb theorems to study the regularity of free boundaries and the solvability of elliptic boundary value problems. 4. To develop techniques to study the solvability of boundary value problems for complex elliptic equations, or more generally, for strongly elliptic systems, with bounded measurable coefficients.<br/><br/>The project lies within the field of harmonic analysis and its application to, and interaction with, geometric measure theory and the theory of elliptic partial differential equations. Roughly speaking, in harmonic analysis one investigates properties of functions and ""operators"" (i.e., mappings which transform one function into another) by decomposing them into smaller, constituent pieces, which are easier to understand, and then reassembling the pieces. The name itself arose by analogy to the decomposition of a musical sound into its various frequency components (""harmonics""). Geometric measure theory involves the study of the relationship between geometric properties of sets, and their ""measures"" (the latter are generalizations of the notions of length, area, and volume). Partial differential equations and systems of elliptic type describe a wide variety of phenoma in the real world, including electrostatics, and steady-state temperature distributions and elastic deformations. A particular focus of the present proposal is to explore further the relationship between geometry and properties of ""harmonic measure."" The latter area of investigation has already found application in recent work in acoustical engineering, in particular in the design of a room with desirable acoustic properties. Progress on the problems to be considered would in all likelihood open up further avenues of investigation. All such progress will be disseminated by the investigator via lectures at conferences, seminars and graduate courses, and via electronic preprints posted on his website and on the ArXiv web site. The investigator will involve Ph.D. students and a postdoc on problems related to the proposed work. Two former postdocs are already involved in the project.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Syracuse University,,United States,Dryad,Scott Pitnick,2015-07-01,2018-06-30,,,2015,19050,USD,"19,050.00",nsf,,1501328,DISSERTATION RESEARCH: Evolution of Alternative Mating Tactics in the Yellow Dung Fly,"The process of evolution is expected to favor the single most successful behavioral tactic in a population and eliminate less successful options. Nevertheless, in some species, males adopt different behavioral tactics for acquiring mates, and it is unclear how males decide which tactic to adopt or what the reproductive consequences of this decision might be. In the yellow dung fly, some males compete with one another over access to females at breeding sites, whereas others search for feeding females in non-competitive environments. This study aims to understand the environmental and genetic factors that influence the choice of reproductive tactic in yellow dung fly males and how these alternative tactics are maintained within the same species. These results will help explain the wide diversity of animal traits observed within species throughout nature. Additionally, opportunities will be provided for high school and undergraduate students interested in biology to gain hands-on research experience by participating in data collection and analysis associated with this work.<br/><br/>The co-occurrence of status-dependent alternative mating tactics is an example of extreme phenotypic variation persisting within a population. In addition to differences in mate securing behaviors and morphology, males of alternative tactics are also expected to differ in reproductive investment strategies due to tactic-specific variation in the degree of gametic competition that males face. The appropriate genetic model for understanding the evolution, maintenance, and expression of such phenotypic variation has long been the subject of intense debate. The ""environmentally-cued threshold"" model has recently emerged as a powerful quantitative genetics-based approach for investigating these long-standing questions. However, the difficulty of accurately quantifying lifetime fitness associated with each tactic has restricted its use in empirical studies. This research will overcome these obstacles by using large, experimental enclosures that simulate field conditions, as well as molecular analyses for paternity assignment, to assess lifespan and reproductive success associated with the size-dependent expression of alternative mating tactics in the yellow dung fly, Scathophaga stercoraria, which is a model system for behavioral ecology. All behavioral, morphological, and genetic data obtained from this research will be deposited into a public repository such as Dryad.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Chicago,,United States,arXiv,Carlos Kenig,2013-07-01,2019-06-30,,,2013,540000,USD,"540,000.00",nsf,,1265249,Harmonic Analysis and Partial Differential Equations,"The purpose of this proposal is to continue the PI's research on the development of various aspects of harmonic analysis and partial differential equations. The main focus of the PI's research will be the study of soliton resolution and blow-up properties of solutions to the energy critical wave equations and related models, the study of the global behavior of solutions to dispersive geometric flows, such as wave maps and Schrodinger maps, the study of periodic homogenization, the study of uniqueness and reconstruction in local inverse problems, the study of elliptic boundary value problems under minimal regularity assumptions and the study of quantitative unique continuation arising from localization problems in mathematical physics. This is a very ambitious and innovative program of research, which should develop new ideas and tools to treat important problems in the subjects mentioned above, which will have lasting consequences for the developments of these subjects and which builds on the PI's previous research accomplishments.<br/><br/>Many of the topics in the PI's research have their origins in problems coming from physics, engineering and medical imaging. In addition, the problems to be researched bring together in their study tools from different areas of mathematical analysis and geometry, further developing those areas. It is hoped that the synergy thus created will enrich all the fields involved. The research developed in the proposal will be the basis for graduate course, mini-courses and lectures by the PI. It will be disseminated widely through the publication of research papers, survey articles and monographs, through arXiv, a freely available electronic server of preprints, where the PI posts most of his preprints and through the PI's web page. In addition, this proposal will lead to topics of research for the PI's graduate students. The PI works actively to increase the participation in research of underrepresented groups. In this connection, the PI is very proud of his record of training female mathematicians as PhD students and postdocs. The PI hopes that the research in this proposal and its broad dissemination will lead to an even larger number of female graduate students and postdocs to be trained by the PI.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Texas at Austin,,United States,Dryad,Michael Ryan,2015-08-15,2017-07-31,,,2015,19887,USD,"19,887.00",nsf,,1501653,DISSERTATION RESEARCH: Non-lethal Effects of Chytridiomycosis on the Reproductive Behavior of Tungara Frogs,"The world is experiencing the greatest vertebrate extinction in human history, because a fungus is responsible for the demise of many amphibian species. Currently, 168 amphibian species are extinct, and the number is rising. This study will investigate the effect of this emergent fungal pathogen on a tropical frog species. Although the pathogen is rapidly spreading and its infections are usually lethal, some species, including the focus of this study, appear to be resistant. The researchers will determine the sub-lethal effects of the pathogen on adults, tadpole survivorship, and female mate choice. This study will advance our knowledge of emergent diseases in the wild by showing the toll that such diseases take even on ""resistant"" species.<br/><br/>This study will determine how chytridiomycosis, an emergent infectious disease caused by the chytrid fungus Batrachochytrium dendrobatidis (Bd), influences the reproductive behavior of frogs. Little attention has been given to sub-lethal effects of chytridiomycosis in resistant species. Túngara frog populations infected with Bd lack any clear signs of the disease, allowing us to examine how the potential pathogen-stress influences reproductive behavior. The first aim is to understand the basic epidemiology of chytrid infections in the widespread tropical Túngara frog. Since 2010, the researchers have sampled annually for the presence of Bd in populations of Túngara frogs from western Panama to the Darien Gap, an approximately 1000 km transect. All populations surveyed are currently infected with Bd. The second aim is to examine how the potential pathogen-stress induced by Bd interact with sexual communication, mate choice, vigor, and reproductive success. To assess if there is a trade-off between the response to the infection and calling behavior, the researchers will analyze males' advertisement calls before and after experimental infection with Bd. The researchers will perform female phonotaxis experiments with these same calls to determine if male infection with Bd influences female mate choice, and determine if there is a cost of the response to the infection in development and overall performance. Videos of behavioral tests, protocol details and data will be available to other researchers upon request, and will be publicly available after publication of results. Data back-ups will be securely stored in UT Box, at the Ryan Lab account in the TACC computer, and in external hard drives. As data are published they will be deposited in the DRYAD repository.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,SUNY at Stony Brook,,United States,arXiv,Erez Zadok,2021-10-01,2025-09-30,,,2021,551054,USD,"551,054.00",nsf,,2106263,"Collaborative Research: CNS Core: Medium: Secure, Reliable, and Efficient Long-Term Storage","The world produces more digital data annually that’s growing exponentially. Storing data for decades is challenging and securing it for so long is even more challenging. This project develops secure, efficient, long-term archival storage systems for digital information that endures beyond a single human lifetime. The project uses a long-term security model that is safe against faster computers and even quantum computers and can protect against malicious ""insiders"" who abuse their access to secretly steal data slowly over years. Lastly, the project explores how to maintain long-term data securely and efficiently, even if individual storage providers cease to exist.<br/><br/>This project develops techniques to store archival data securely and reliably for a long-time using information theoretic security and combinatorial security. The project explores techniques to allow data to survive errors ranging from corruptions of a few bytes to large-scale cloud failures. It then explores the trade-off between additional storage requirements, data security and reliability, and system performance. Empirical evaluation of a prototype system provides insights into real-world issues in implementing these techniques over the project’s lifespan, and a simulator embodying these techniques allows projection of the techniques’ effectiveness over much longer time frames.<br/><br/>This project fosters collaborations across systems, theory, and security researchers to develop practical techniques to both secure data for many years and ensure that the data endures unchanged. Storage must meet both criteria for a society based on digital data to rely on it. All source code for a prototype system and simulator is maintained and released publicly. Material from this project is integrated into graduate level courses and a new “Secure Storage Systems” course. The project recruits and co-advises several under/graduate students, with a focus on female and Hispanic students, both traditionally underrepresented in computer systems research.<br/><br/>The project's artifacts—software, source code, data sets, secure archive simulator, traces, and results—are all embodied in a system called ""SecArch: Secure Archives"". Results will be disseminated using peer-reviewed publications and arxiv.org. All artifacts will be made public through the project Website: https://www.filesystems.org/secarch. The project plans to maintain the site for at least ten years following the end of the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Santa Cruz,,United States,arXiv,Ethan Miller,2021-10-01,2025-09-30,,,2021,347441,USD,"347,441.00",nsf,,2106259,"Collaborative Research: CNS Core: Medium: Secure, Reliable, and Efficient Long-Term Storage","The world produces more digital data annually that’s growing exponentially. Storing data for decades is challenging and securing it for so long is even more challenging. This project develops secure, efficient, long-term archival storage systems for digital information that endures beyond a single human lifetime. The project uses a long-term security model that is safe against faster computers and even quantum computers and can protect against malicious ""insiders"" who abuse their access to secretly steal data slowly over years. Lastly, the project explores how to maintain long-term data securely and efficiently, even if individual storage providers cease to exist.<br/><br/>This project develops techniques to store archival data securely and reliably for a long-time using information theoretic security and combinatorial security. The project explores techniques to allow data to survive errors ranging from corruptions of a few bytes to large-scale cloud failures. It then explores the trade-off between additional storage requirements, data security and reliability, and system performance. Empirical evaluation of a prototype system provides insights into real-world issues in implementing these techniques over the project’s lifespan, and a simulator embodying these techniques allows projection of the techniques’ effectiveness over much longer time frames.<br/><br/>This project fosters collaborations across systems, theory, and security researchers to develop practical techniques to both secure data for many years and ensure that the data endures unchanged. Storage must meet both criteria for a society based on digital data to rely on it. All source code for a prototype system and simulator is maintained and released publicly. Material from this project is integrated into graduate level courses and a new “Secure Storage Systems” course. The project recruits and co-advises several under/graduate students, with a focus on female and Hispanic students, both traditionally underrepresented in computer systems research.<br/><br/>The project's artifacts—software, source code, data sets, secure archive simulator, traces, and results—are all embodied in a system called ""SecArch: Secure Archives"". Results will be disseminated using peer-reviewed publications and arxiv.org. All artifacts will be made public through the project Website: https://www.filesystems.org/secarch. The project plans to maintain the site for at least ten years following the end of the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Friedline Christopher J,,United States,Dryad,Christopher Friedline,2013-07-01,2016-06-30,,,2013,216000,USD,"216,000.00",nsf,,1306622,NPGI: NSF Postdoctoral Fellowship in Biology FY 2013,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2013. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Christopher J. Friedline is ""Barking up the Right Trees: the Influence of Forest Fire on the Genetic Architecture of Pine Populations in the Southeastern United States."" The host institution for the fellowship is the Virginia Commonwealth University, and the sponsoring scientist is Dr. Andrew J. Eckert.<br/><br/>The main goal of this project is to investigate the underlying genetic architecture associated with bark thickness as a fire-adapted phenotype in four, economically-important, closely-related, species of pines with a range along the eastern and southeastern United States. Using next-generation, genotype-by-sequencing approaches, the study will determine the degree to which the genetic architecture for this complex trait is shared across natural ranges and multiple evolutionary time scales, and how the variability observed can inform breeding plans to minimize the negative financial impact that bark mass has on the forest industry. This research will 1) provide new genomic resources for non-model species; 2) augment existing plant genomic resources; 3) address fundamental principles in evolutionary biology; and 4) serve to inform and improve breeding programs and land management initiatives. <br/><br/>Training objectives include evolutionary genetics, high-throughput functional genomics, and next-generation sequencing. Broader impacts of this project include the development of a new course to train both graduate and advanced undergraduate students in the computational and analytical skills necessary to address micro- and macro-evolutionary questions using large data sets, such as those generated by next-generation sequencing technologies. This course will be open to students from the Biology, Bioinformatics, and Life Sciences departments at VCU. The fellow will bring to bear his skills in computational biology and molecular evolution and newly apply them to plant genomics. All data and computer code will be made available to the scientific community via public FTP and project web sites as well as through long-term public repositories such as GenBank, Dryad, and TreeGenes.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Moyers Brooke T,,Canada,Dryad,Brooke Moyers,2015-10-01,2018-09-30,,,2015,216000,USD,"216,000.00",nsf,,1523752,NSF Postdoctoral Fellowship in Biology FY 2015,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2015. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Brook Moyers is ""Using genotype and environment to predict water use physiology in rice."" The host institution for the fellowship is the Colorado State University and the sponsoring scientist is Dr. John McKay.<br/><br/>Rice is a water-intensive crop and the primary calorie source for many developing countries. As global demand for water increases, so will the need for rice varieties that require less water to grow. This project will model the interaction of genotype and environment to predict water use in rice, providing vital information to breeders and potentially contributing to the development of new drought-tolerant rice varieties. The project is in collaboration with researchers at the International Rice Research Institute and includes training in applied agricultural research. A diverse group of undergraduate researchers will participate in the project and will be trained as the next generation of plant breeders. Together, the proposed activities will provide the basis for an independent research program that uses fundamental research to address global needs.<br/><br/>This project will tackle the ""grand challenge"" of predicting phenotype from genotype in specific environments by building and validating a physiological model that incorporates genotype effects. The two major objectives are (1) to use high-throughput phenotyping data from a new, highly recombinant rice population (Global MAGIC) to identify quantitative trait loci (QTL) underlying water use physiology in two soil moisture environments, and (2) to use these QTL as parameters in a model of water use physiology. The model will be validated by predicting phenotypes that are produced by the novel genotypes grown in specific environments. Evaluating the model will provide insight into the interactions among alleles and environmental factors affecting water use physiology in plants. All of the project data will be available to the public via the Dryad Digital Data Repository, and the Global MAGIC population is freely available to rice breeding programs through the International Rice Research Institute.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Josephs Emily B,,United States,Dryad,Emily Josephs,2016-01-01,2018-12-31,,,2016,216000,USD,"216,000.00",nsf,,1523733,NSF Postdoctoral Fellowship in Biology FY 2015,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2015. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Emily Josephs is ""Polygenic adaptation in regulatory networks"" The host institution for the fellowship is the University of California, Davis and the sponsoring scientists are Drs. Graham Coop, Jeffrey Ross-Ibarra, and Julin Maloof.<br/><br/>Domestication of wild plants has produced the diversity of crop plants available today. During crop breeding, ancestral wild genomes gradually changed as domestication specific traits were selected. The process is a type of genome adaptation similar to natural selection. This project investigates genome adaptation in two crop species, maize and tomato, by comparing gene regulatory changes between the crops and their wild relatives. Expression of genes will be compared and bioinformatics methods will be developed to assess and compare genome change. The information will uncover key regulatory networks that are at the foundation of breeding programs and in the long run could provide new tools for genome-assisted breeding strategies. Workshops at high schools, public presentations and research experiences for undergraduates will expose diverse audiences to basic knowledge about agriculture from a genomic perspective. <br/><br/>Understanding the genetic basis of adaptation has been a longstanding goal of researchers studying evolution through natural and domestication selection. Polygenic adaptation, which is thought to be particularly important for domestication, is difficult to detect with current population genetic methods. This research will develop methods to detect coordinated changes in gene expression systematically across regulatory networks due to polygenic adaptation. These methods will be applied to two systems: domestication in maize, using publicly available data, and environmental adaptation in wild tomatoes, using gene expression data that will be generated as part of the research. The raw tomato gene expression data generated will be available on NCBI's Sequence Read Archive and processed data will be archived on the Dryad Digital Repository. The scripts used to conduct analyses will be made available for use by other researchers on GitHub.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Wagner Maggie R,,United States,Dryad,Maggie Wagner,2016-08-01,2019-07-31,,,2016,216000,USD,"216,000.00",nsf,,1612951,NSF Postdoctoral Fellowship in Biology FY 2016,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2015. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Maggie R. Wagner is "" Investigating the effects of intensive breeding on maize-associated fungal and bacterial communities and their impact on crop productivity "" The host institutions for the fellowship are the North Carolina State University and Oregon State University and the sponsoring scientists are Dr. Peter Balint Kurti, Dr. Posy Busby, and Dr. James Holland.<br/><br/>Bacteria and fungi living within leaves and roots can profoundly affect plant health, and are a potentially useful tool in sustainable agriculture. Plant genes partially control these microbial communities, letting certain microbes into the plant and keeping others out. It is unknown, however, whether genetic changes caused by intensive crop breeding have affected the composition of the microbiome. These experiments will expand our knowledge of the maize (corn) microbiome and improve our understanding of the links between plant genomes, plant-associated microbes, and crop productivity. The researcher will build her expertise in plant pathology, microbiology, and genomics while sharing results with agricultural researchers as well as public audiences at local schools and educational farms, and will enthusiastically recruit students of diverse backgrounds for participation in this project and mentorship in science career development.<br/><br/>Successful integration of microbial improvement techniques into sustainable agriculture requires a more sophisticated understanding of the relationship between plant genomes and microbiomes. Moving beyond descriptive studies, this project uses existing germplasm from current maize breeding programs to test predictions about how various genetic perturbations might alter the microbiome. The effects of hybridization, intense artificial selection, and introgression of disease-resistance loci on microbial endophyte communities will be measured using high-throughput amplicon sequencing, metatranscriptomics, and culture-based methods. Greenhouse re-inoculation experiments will then test whether breeding-induced microbiome alterations feed back to affect plant vigor and pathogen resistance. Data will be shared publicly at the NCBI Short Read Archive and repositories such as Dryad, and maize endophyte cultures will be shared on request.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Munasinghe, Manisha A",,United States,Dryad,Manisha Munasinghe,2021-01-01,2023-12-31,,,2021,216000,USD,"216,000.00",nsf,,2010908,NSF Postdoctoral Fellowship in Biology FY 2020: Genetic Determinants of Hybrid Decay in Backcross Populations of Teosinte with Maize,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2018. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Manisha Munasinghe is ""Genetic Determinants of Hybrid Decay in Backcross Populations of Teosinte with Maize"". The host institution for the fellowship is the University of Minnesota and the sponsoring scientists are Drs. Yaniv Brandvain and Nathan Springer. <br/><br/>Plant breeders seek to take advantage of useful genetic variants present in wild relatives of crop species. Genetic incompatibilities between species can work against this goal, which makes understanding how they emerge and persist in populations highly relevant. A unique incompatibility between the crop species maize and its wild relative the Mexican teosinte is thought to be triggered by the uncontrolled proliferation of repetitive DNA in hybrids. This project is designed to not only identify the specific genetic variants underlying this incompatibility but also to use this knowledge to expand evolutionary theory to better understand how these variants become established in populations. Training objectives for the Fellow include plant biology, computational biology, statistical genetics, and analytical modeling. Broader impacts include the development of two teaching modules in genetics and statistics for undergraduate students and providing mentoring and training through participation in the Carpentries (www.carpentries.org) computational training workshops. <br/><br/>There is a longstanding interest in understanding the genomic basis of reproductive isolation as it can both inform how speciation occurs and the evolutionary forces occurring within lineages. The uncoupling of selfish repetitive DNA, such as transposable elements, and the molecular machinery that epigenetically silences their proliferation is a potential cause of hybrid incompatibility that has received comparatively little attention. This project explores an unusual case of hybrid incompatibility between the crop species maize and its wild relative Mexican teosinte thought to be caused by the uncoupling of repetitive DNA from the variants that halt their proliferation. No abnormal phenotype in the F1 hybrids, the persistence of the incompatibility despite recurrent backcrossing to maize, and epigenetic changes in hybrids distinguish this case from others. This project will characterize the genomic basis of this epistatic incompatibility, estimate its frequency in nature, and model its impacts on genome-wide patterns of introgression. Long-read, whole-genome sequencing will allow the fine-scale characterization of changes in repetitive DNA between the parental species and hybrids. Additional teosinte samples will be collected to perform population-level analyses to identify regions under selection, which will likely include repetitive DNA repressor systems. Finally, the consequence of uncoupling repetitive DNA from its repressor system will be modelled to characterize its effect on population divergence. All computer pipelines and codes will be shared publicly so other researchers may adapt these tools to their needs. Raw data/code will be released through public repositories, such as GitHub or NCBI. Processed datasets will be released through CyVerse Data Commons, Dryad, or DRUM (www.lib.umn.edu/datamanagement/drum). All processed data and any files that may be of interest to the broader community will be made publicly available through CyVerse or GitHub and will also be shared with MaizeGDB.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Mansfeld, Ben Nathan",,United States,Dryad,Ben Mansfeld,2020-01-01,2023-12-31,,,2020,285000,USD,"285,000.00",nsf,,1907077,NSF Postdoctoral Fellowship in Biology FY 2019: The Effects of Tomato Domestication on the Circadian Clock and its Interaction with Resistance to Phytophthora infestans,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2019. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Ben Mansfeld is ""The Effects of Tomato Domestication on the Circadian Clock and its Interaction with Resistance to Phytophthora infestans"". The host institution for the fellowship is the Donald Danforth Plant Science Center and the sponsoring scientist is Dr. Rebecca Bart.<br/><br/>Tomato is the second most important vegetable crop in the world, the fruit of which is eaten fresh or consumed in several processed products such as soups and sauces. Tomatoes are rich with important vitamins, minerals as well as antioxidants with potential anti-cancer and other healthful capabilities. The origin of the tomato plant is in equatorial countries in South America. As such, over millions of years, tomato plants have evolved a biological clock adapted to the day length around the equator. However, as humans domesticated tomatoes over the last few thousand years, they also traveled with the seeds, breeding tomatoes to be more successful crop plants in high latitude regions. Through this process, the tomato biological clock was altered to fit the new long days in these regions of the planet. The process of altering a crop's biological clock through domestication is not unique to tomato and may be quite common; however, because of its important role in regulating how the plant protects itself from disease and insects, an altered biological clock may thus increase a plant's susceptibility to disease. This research aims to use tomato as a model to better understand how crop domestication affected the biological clock and how this, in turn, may have affected the plant's innate ability to defend itself from disease. The overarching societal goal for this research is to contribute to increased crop defenses at a basic level, helping growers reduce their inputs and produce cheaper, sustainable food for a growing population. Training though this project will also further the Fellow's skills in plant genetics, genomics and plant-pathogen interactions. Broader impacts include mentoring high school and undergraduate students interested in learning more about bioinformatics, plant disease and crop improvement.<br/><br/>This research will explore the hypothesis that alterations to the biological clock have affected cultivated tomato responses to infection, specifically by Phytophthora infestans, the pathogen that causes tomato and potato late blight. First, a collection of wild and domesticated tomato lines will be screened for their circadian rhythm traits, using an automatic camera system. A high-throughput bioassay will be then be used to screen if these lines show a different response to infection by P. infestans, at different times (a ""gated"" response). Transgenic tomato lines with altered clock rhythms will also be generated and screened to test the effects of mis-regulation of clock genes on the gated response to infection. The two lines showing strongest difference in gated response will be used in a 72-hour gene expression study, in which leaves will be inoculated with the pathogen at dawn and dusk and sampled every 4 hours for RNA sequencing. Weighted gene co-expression networks will then be used to compare the transcriptional responses of wild and domesticated tomato and identify hub genes at the center of network co-expression modules that differ between lines. Finally, to map loci contributing to differences in wild and domesticated tomato, a segregating population will be phenotyped and quantitative trait loci mapped using a bulk segregant approach. Candidate genes will be validated using CRISPR-based mutagenesis. All the data generated in this research will be made accessible through an online web application as well as through public repositories such as the NCBI's Short Read Archive (SRA), Dryad (https://datadryad.org), and the Sol Genomics Network (SGN; https://solgenomics.net).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Morffy Nicholas J,,United States,Dryad,Nicholas Morffy,2019-07-01,2023-06-30,,,2019,285000,USD,"285,000.00",nsf,,1907098,NSF Postdoctoral Fellowship in Biology FY 2019: The Contribution of the AUXIN RESPONSE FACTORS (ARF) Dimerization to ARF DNA-Binding,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2019. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Dr. Nicholas Morffy is ""The Contribution of the ARF Dimerization to ARF DNA-Binding."" The host institution for the fellowship is the Washington University in St. Louis and the sponsoring scientist is Dr. Lucia C. Strader.<br/><br/>Auxin is a small plant signaling molecule that is involved in altering growth and development and has a major impact on crop productivity. Auxin regulates these processes through AUXIN RESPONSE FACTORS (ARF), a large family of transcription factors found in many plant species. Transcription factors bind DNA and regulate gene transcription which alters how plants grow. Understanding how large transcription factor families, like the ARFs, mediate DNA-binding specificity across a plant genome is important for the study of plant development and is crucial for better directing crop development. The ARFs are known to work in pairs; however, scientists do not understand how different transcription factor pairs bind specific DNA, or how transcription factors might interact with different parts of the genome. This project will utilize the properties of the ARF transcription factor family to better understand how distinct transcription factor pairs alter DNA binding across a genome. This research will lead to a better understanding of how transcription factors regulate genes and may lay the ground work for more directed control of plant growth and development in important crop species such as maize. Broader impacts include broadening participation of underrepresented minority students in STEM fields through established programs at Washington University in St. Louis such as the Young Scientist Program (YSP; ysp.wustl.edu/) for K12 and the NIH-supported Research Education R25 and Maximizing Access to Research Careers (MARC) T34 programs for undergraduate students. Training objectives to prepare the Fellow for a successful career as a plant biologist include acquiring expertise in protein biochemistry, biophysics, genomics, plant evolution as well as in science communication and mentorship. <br/><br/>The phytohormone auxin is a crucial regulator of all aspects of plant development. Many transcription factors work as homo- and heterodimers, but the relationship between transcription factor dimerization and DNA-binding specificity remains unstudied. The primary transcriptional regulators of auxin signaling, the AUXIN RESPONSE FACTORS (ARF) proteins present an appealing model to study transcription factor dimerization because the mechanisms of ARF function, including the molecular basis of ARF DNA binding and ARF dimerization, have recently been described. ARF proteins have a modular structure that includes a C- terminal type I/II Phox and Bem1 (PB1) domain. PB1 domains mediate protein interactions between ARFs in a directional manner, but how the PB1 domain contributes to ARF DNA-binding and dimerization specificity is currently unknown. This project will combine evolutionary, biophysical, and genetic/genomic techniques to study PB1-mediated interactions and their impact on DNA binding in two divergent land plant species, Marchantia polymorpha and Zea mays. There are three specific aims: 1) determine if ARF PB1 interactions contribute to ARF dimerization specificity by identifying amino acid residues participating in ARF-ARF PB1 interactions across the land plant lineage, informed by structural, biophysical, and comparative sequence data. Putative interactions will be tested using in vitro and in vivo protein interaction techniques to determine the interaction affinities of different ARF PB1 domains; 2) test if specific ARF dimers bind to distinct loci in Z. mays and M. polymorpha. Next generation sequencing approaches, including DAP-seq, will be used to test and compare DNA-binding patterns of different ARF homo- and heterodimers from both Z. mays and M. polymorpha; and, 3) determine if the M. polymorpha ARF1 PB1 domain contributes to chromatin interactions and ARF function. Reporter lines will be used to determine if ARF multimers can promote chromosomal interactions in M. polymorpha. All genomic data generated during the project will be made available in the NCBI Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/) for archiving. Sequence alignments and phylogenetic trees will be uploaded to Dryad (https://datadryad.org) and made publicly available. All experimental material and samples generated for these studies will be stored at Washington University and made available upon request. In addition to the genomic and phylogenetic data, experimental results generated from this project will be disseminated through the use of journal publications and presentations at scientific meetings (poster presentations and oral presentations) in a timely fashion. The data generated by this project will provide a framework for elucidating the relationship between protein interaction partners and DNA-binding specificity, as well increasing understanding of the ARFs and auxin signaling generally.<br/><br/>Keywords: Maize, Marchantia polymorpha, DNA-binding, Auxin, Transcription Factors, ARFs<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Brown, Keely E",,United States,Dryad,Keely Brown,2019-07-01,2023-06-30,,,2019,285000,USD,"285,000.00",nsf,,1907061,NSF Postdoctoral Fellowship in Biology FY 2019: Fluctuating Selection in Barley Driven by Biotic and Abiotic Factors,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2019. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Keely Elizabeth Brown is ""Fluctuating Selection in Barley Driven by Biotic and Abiotic Factors"". The host institution for the fellowship is the University of California, Riverside and the sponsoring scientist is Dr. Daniel Koenig.<br/><br/>Barley is the fourth most highly produced grain in the world and is a staple crop across many varied environments, from the mountains of Nepal to lowland regions in Northern Africa. Barley yield is expected to be dramatically impacted by climate change, potentially resulting not only in food shortages across the world, but in higher cost of luxury goods like health products and malt in more developed countries. This project aims to better understand how barley responds on a genetic level to changes in the environment by using seed from an ongoing experimental evolution study that began in 1929. The fellow will use historical weather data to identify patterns of evolution that will help us to predict how well a plant will do in a particular environment, given its genetic makeup. The broader impacts of the project include providing basic research training for undergraduates from diverse backgrounds and engaging the public in scientific discussions about climate change in casual community outreach settings. Training objectives include acquiring expertise in genomics and bioinformatic analysis of large genomic data sets and training in agriculturally-relevant research. <br/> <br/>How genetic variation is maintained in crop plants is a question of great intellectual and practical importance. This project will focus on temporal environmental fluctuations as a mechanism to maintain variation in barley (Hordeum vulgare, Poaceae). The project will address this question by leveraging a set of parallel evolution experiments using a collection of barley Composite Cross lines (CCs). Initiated in 1929, these experiments and the resulting datasets provides a one-of-a-kind opportunity to link phenotype to genotype under a wide variety of environmental conditions. Using existing genomic datasets, the Fellow will map genes that maintain unusually high levels of genetic diversity in different climates (e.g., that in Montana versus California), and also how yearly environmental variability drives the retention of genetic diversity. The project will also consider temporal fluctuations in both abiotic environmental factors like temperature or rainfall and biotic factors like varying pressure from the fungal pathogen Rhynchosporium secalis, which causes barley scald. The analysis will exploit the key feature of the CC populations, replication, to identify environmental drivers of allele frequency change during local adaptation. Sequencing data from this project will be archived and publicly available through the National Center for Biotechnology Information Short Read Archive (NCBI SRA). Python or R code used for analysis will be made available through Github, and phenotype data will be archived in a public repository like Dryad.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Thoms, David",,United States,bioRxiv,David Thoms,2020-07-01,2022-12-31,,,2020,186000,USD,"186,000.00",nsf,,2010946,NSF Postdoctoral Fellowship in Biology FY 2020: The Role of the Damaged-Induced Immune Response in Shaping the Plant Root Microbiome,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2020. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to David Thoms is ""The Role of the Damaged-Induced Immune Response in Shaping the Plant Root Microbiome"". The host institution for the fellowship is the University of British Columbia and the sponsoring scientist is Dr. Cara Haney.<br/><br/>Improving agricultural productivity and efficiency is of extreme importance due to the pressures of a growing population, increasingly sporadic weather patterns, and human-induced land degradation. Therefore, improving plant health and productivity in a manner that preserves the health of our limited arable land is of utmost importance. While some bacteria and microbes are known to be harmful to plants and animals, many that make up an organism's microbiome have been shown to provide significant health benefits. Bacteria present in the plant microbiome can promote plant growth, productivity, tolerance to harsh environmental conditions, and resistance to pests and pathogens. Taking advantage of the beneficial interactions between plants and bacteria is an ideal alternative to chemical-based fertilizers and pesticides. However, how plants promote positive associations with bacteria while avoiding harmful interactions is poorly understood. This project seeks to understand how plants select for beneficial bacteria while simultaneously evading bacterial pathogens. This project will focus on how plants can sense damage caused by bacterial pathogens and use that to identify, target, and eliminate harmful bacteria while leaving the beneficial bacteria intact. Training objectives include acquiring new skills and knowledge in bacteriology, next-generation sequencing, and microfluidics. Broader impacts will include the creation of educational electronic learning modules for children and adults along with the scientific mentorship of students to help increase the diversity in STEM related fields.<br/><br/>Understanding how plants exclude pathogens while allowing establishment of a microbiome is of major importance for diverse host-microbiome-pathogen interaction systems. This project uses a genetically tractable and high-throughput model system consisting of Arabidopsis and its associated pathogens and commensals, for which a multitude of genetic, molecular, and cell biology tools exist. It has previously been shown that plant sensing of cellular damage can trigger an immune response. This research will test the hypothesis that a localized damage signal triggered by a root pathogen could provide a cue that allows plants to distinguish pathogenic from commensal microbes. Preliminary data indicates that a plant opportunistic pathogen, that is a close relative of a known commensal, can induce a damage response on roots. The first aim of this research blends single-cell quantitative microfluidics with microbiome community ecology to understand how damage-induced immune signaling shapes plant microbiome interactions. The second aim combines forward genetics with plant physiology and cell biology to determine how beneficial microbes modulate plant immune signaling. Collectively these aims will identify how a plant immune system distinguishes between beneficial and pathogenic microbes to ultimately shape a healthy microbiome. In the face of a rising population and changing climate, this knowledge is essential for improving agricultural outputs via plant breeding programs that simultaneously bolster plant disease resistance and improve interactions with beneficial microbes. The data generated by this project will be available in public repositories such as NCBI and will be uploaded online onto a preprint server (bioRxiv.org) prior to acceptance into a peer-reviewed journal.<br/><br/>Keywords: rhizosphere, microbiome, plant immunity, plant defense, Arabidopsis, microscopy, microfluidics, DAMP, PAMP, cell damage<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Tribble, Carrie M",,United States,Dryad,Carrie Tribble,2022-02-01,2025-01-31,,,2022,216000,USD,"216,000.00",nsf,,2109835,NSF Postdoctoral Fellowship in Biology FY 2021: Replaying the tape of Genotype-Phenotype Evolution: Integrating Evidence of Climbing Habit Evolution across Alstroemeriaceae,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2021. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Carrie M. Tribble is ""Replaying the tape of Genotype-Phenotype Evolution: Integrating Genetic, Anatomical, and Phylogenetic Evidence of Climbing Habit Evolution across Alstroemeriaceae"" The host institution for the fellowship is the University of Hawai`i at Manoa and the Universidad de Antioquia (Colombia) and the sponsoring scientists are Dr. Rosana Zenil-Ferguson and Dr. Fernando Alzate-Guarín.<br/><br/>Different species occasionally evolve the same feature independently. This process, called convergent evolution, can occur in distantly or closely related species and may be due to different or similar changes in the underlying DNA. Often, convergent evolution occurs when distinct species evolve in response to similar environments. To better understand how and why convergent evolution occurs, this research will gather data on the convergent evolution of climbing vines and model how changes in the environment where plants grow and modifications to DNA can lead to the evolution of shared, independently evolved features. Training objectives include acquiring new skills in mathematical modeling, fieldwork, plant anatomy and systematics. Support through this fellowship will provide new opportunities for the Fellow to train students through two educational programs: a Spanish-language undergraduate and graduate student methods course at partner institutions in Colombia and an educational botany internship program for high school students at Lyon Arboretum at the University of Hawai`i. <br/><br/>Convergent and parallel evolution have generated some of the most iconic examples of environmental pressures driving phenotypes, including the mind-boggling similarity of distantly related succulent plants, the extraordinary ability to fly among vertebrate and invertebrate animals, and the novel emergence of antibiotic-resistance in bacteria despite the lack of resistance in common ancestors. Yet, despite the importance of these processes in producing much of the observed phenotypic variation, knowledge of the genomic and environmental factors that generate repeated phenotypes is lacking. It is still unknown to what extent “convergence” at the morphological level is matched by convergence at the anatomical or molecular level. To better understand how repeated phenotypes are produced, the project will include detailed studies on a botanical family – Alstroemeriaceae – with clear variation in the climbing habit, a repeated phenotype and key innovation in flowering plants. Through three aims, this research will characterize the detailed environmental, morphological, anatomical, and genetic underpinnings of this habit and test the hypothesis that shared genetic, environmental, and anatomical changes are responsible for the evolution of climbing by: (1) developing a novel model for identifying the molecular basis of repeated phenotypic evolution; (2) modeling the evolution of stem anatomy and environments of climbing and non-climbing plants; and (3) implementing the new model to identify the genetic underpinnings of climbing in Alstroemeriaceae. The data generated by this project include (1) field-measured environmental variables, (2) herbarium vouchers, (3) stem anatomy descriptions over a developmental series, (4) evolutionary relationships (phylogenies) of Alstroemeriaceae, (5) genome-level genetic sequences (RADSeq regions), and (6) a whole genome of Luzuriaga radicans. All data will be made publicly available through online data repositories such as NCBI, TreeBASE, and Data Dryad. <br/><br/>Keywords: convergent evolution, climbing, Alstroemeriaceae, phylogenetic comparative methods<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Reatini, Bryan",,United States,Dryad,Bryan Reatini,2021-10-01,2024-09-30,,,2021,216000,USD,"216,000.00",nsf,,2109625,NSF Postdoctoral Fellowship in Biology FY 2021: Investigating the Genetic Basis of Local Adaptation in Yellow Starthistle (Centaurea solstitialis),"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2021. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Dr. Bryan Reatini is ""Investigating the genetic basis of local adaptation in yellow starthistle (Centaurea solstitialis)"". The host institution for the fellowship is the University of Arizona and the sponsoring scientist is Dr. Katrina Dlugosch.<br/><br/>Yellow starthistle is a major agricultural pest and is among the most ecologically and economically damaging invasive plant species in the western United States. Consequently, there is considerable interest in understanding what allows yellow starthistle – and other agricultural pests like it – to spread so aggressively. Previous research has shown that yellow starthistle has evolved to become better suited to the local environmental conditions of California, which likely contributed to its rapid spread. Yet the specific genes that have played a role in this process, and the source of the genetic variation involved, remain unknown. This project will determine the source and type of genetic variation that has contributed to the evolution of yellow starthistle to become better suited to the local environmental conditions of California. In doing so, this research will inform how evolution can contribute to the aggressive spread of agricultural pests such as yellow starthistle, and provide information that may be used to mitigate the future spread of agricultural pests. Another objective of this project is to train university students with the tools and skillset required to generate maps that can be used to predict areas at risk of invasion by species like yellow starthistle. Throughout this training process, a collection of maps will be created and provided to the United States Department of Agriculture to help inform management decisions regarding the spread of invasive species.<br/><br/>Understanding how local adaptation is maintained despite gene flow remains an ongoing area of research in evolutionary biology. Range expansions offer exceptional opportunities to study local adaptation with gene flow in real time, but theoretical predictions have quickly outpaced empirical tests of those predictions. Yellow starthistle (Centaurea solstitialis) offers unique opportunities to close that knowledge gap, because adaptive trait evolution to local environmental conditions has occurred rapidly despite gene flow between nearby populations in its invaded range. To determine how connections between genotype, phenotype and environment have been achieved under gene flow in this system, this project will determine: 1) the genetic basis of an important adaptive trait in this invasion – increased plant size – using associations between genetic variation and phenotypic variation; 2) associations between genetic variation and environmental variation for environmental conditions that appear to be driving the evolution of this adaptive trait; and 3) the source of genetic variation contributing to adaptive evolution, using computational methods in order to evaluate the potential contribution of admixture to adaptation. All data generated by this research will be made publicly available via the searchable public databases of the National Center for Biotechnology Information and Dryad. Ultimately, this project will contribute to fundamental understanding of how the genetic architecture of local adaptation has contributed to range expansion, for one of the most problematic invasive species in the United States.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Conti-Jerpe, Inga Elizabeth",,United States,Dryad,Inga Conti-Jerpe,2021-11-01,2024-10-31,,,2021,216000,USD,"216,000.00",nsf,,2109909,NSF Postdoctoral Fellowship in Biology FY 2020: Quantifying nutrient sharing across mutualisms and identifying involved genetic factors,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2021. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Dr. Inga Conti-Jerpe is ""Quantifying nutrient sharing across mutualisms and identifying involved genetic factors"". The host institution for the fellowship is the University of California, Berkeley and the sponsoring scientists are Dr. Rebecca Tarvin and Dr. Todd Dawson.<br/><br/>Symbiotic relationships in which two species exchange nutrients afford both partners access to auxiliary nutritional resources, allowing them to survive under nutrient limited conditions. Many plants, for example, live in symbiosis with soil fungi that provide nutrients the plant cannot assimilate on its own. In exchange, the fungus receives sugars produced by the plant through photosynthesis. These types of relationships exist in other lifeforms including marine invertebrates (corals, jellyfish, clams, sea slugs, and flat worms) that associate with single-celled algae, and lichens, which are comprised of algae and fungi living together. By coupling their nutrition, these partners thrive in nutritional deserts and provide the foundation for critical ecosystems such as forests and coral reefs. This research will investigate patters in the evolution of symbioses by measuring nutrient sharing in plants, marine invertebrates, and lichens, and identifying traits associated with tightly and loosely coupled partners. This will create a predictive framework where traits can be used to assess the nature of nutritional exchange within a symbiotic relationship. Additionally, this research will manipulate a model symbiosis between trees and fungi to identify genes that underpin nutrient sharing between partners. The broad scope of this project lends itself to the mentorship of undergraduates who will conduct independent research on one of the many symbiotic partnerships investigated. Additional broader impacts are a regular, bimonthly workshop focused on supporting and transferring skills to women in science, as well as the development and deployment of a high school lesson plan on data visualization and interpretation.<br/><br/>The same set of disparate traits have evolved in symbioses across multiple taxa: 1) obligate vs facultative relationships, 2) intracellular vs extracellular associations, and 3) vertical vs horizontal transmission of symbionts. These traits are thought to influence coevolution between symbiotic partners, however there is little understanding of how they affect nutrient sharing within the holobiont. Further, the genes that regulate these symbiotic adaptations are unknown. This project uses stable isotope analysis to quantify nutrient sharing across symbioses exhibiting disparate traits to test the hypothesis that nutrient sharing is greater between obligate, intracellular partners that maintain vertical transmission compared to facultative, extracellular partners that rely on horizontal transmission. Further, this work will use transcriptomics to compare gene expression in Alnus incana (grey alder) when associated with arbuscular mycorrhizae or ectomycorrhizae and test whether genes involved in nutrient transfer are upregulated in symbiosis with intracellularly associated partners compared to extracellularly associated partners. Stable isotope data will be available on the Dryad Digital Repository (https://datadryad.org/stash) and/or IsoBank (http://isobank.tacc.utexas.edu/en/). Raw sequence reads will be digitally archived with the NCBI Sequence Read Archive (https://www.ncbi.nlm.nih.gov/sra) and comparative transcriptomics data will also be archived on Dryad.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Brock, Jordan",,United States,Dryad,Jordan Brock,2021-09-01,2024-08-31,,,2021,216000,USD,"216,000.00",nsf,,2109178,NSF Postdoctoral Fellowship in Biology FY 2021: Environmental influence and mechanisms underlying subgenome dominance in Camelina sativa,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2021. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Dr. Jordan Brock is ""Environmental influence and mechanisms underlying subgenome dominance in Camelina sativa"". The host institutions for the fellowship are Michigan State University and Boyce Thompson Institute and the sponsoring scientists are Dr. Patrick Edger and Dr. Andrew Nelson.<br/><br/>Many agriculturally important plants are the product of hybridization events in which the genomes of two or more parental species come together to form a new species (e.g., canola, cotton, or wheat). These plants, known as polyploids, are often more resistant to environmental stress because they have multiple copies of each gene (from their parental subgenomes) providing a larger toolkit for overcoming challenges. However, little is known about the degree to which polyploids preferentially utilize genes of different parental origin to overcome environmental challenges. This project will address the role parental subgenomes play in overcoming environmental stresses in the polyploid biofuel crop, camelina. Specifically, this work will address the role of temperature in determining subgenome bias in seed oil production. Through interrogation of the mechanisms behind environmentally determined responses by the underlying genetics encoded by each subgenome, this work will provide the genomic understanding and resources for the development of more resilient crops. The fellow will receive technical training in genomics, epigenomics, and bioinformatics. Outreach in plant biology and genomics will be conducted in K-12 schools through a biofuel education module, in addition to the mentoring and training of undergraduate researchers.<br/><br/>This project aims to use genomic techniques to understand the relative contribution of each subgenome in the regulation of abiotic stress (temperature) with regard to seed oil production in Camelina sativa. Camelina, an emerging aviation biofuel crop, is the product of a hybridization and whole-genome duplication between two parental species, C. hispida and C. neglecta. The quality and composition of camelina oil is known to be influenced greatly by environmental conditions such as temperature. This project will employ transcriptome and bisulfite sequencing to understand how expression-levels among subgenomes change relative to each other as a consequence of temperature stress. Camelina sativa and its two diploid parental species will be grown together in varying environmental conditions and developing seeds will be extracted at multiple timepoints. Transcriptome and DNA methylation libraries will be sequenced across distinct developmental stages of the seed, and in varying environments, to examine subgenome-specific contributions. One hypothesis is that polyploid plants have the ability to regulate subgenome expression such that the subgenome most adapted to the current environment will be more dominantly expressed. Additionally, DNA methylation patterns across C. sativa subgenomes will be examined to understand the mechanisms behind subgenome expression level dominance. Data generated in this project will be presented in peer-reviewed publications, and transcriptomic and epigenomic data generated will be made publicly available in National Center for Biotechnology Information databases. All other data, including phenotypic data, will be made publicly available in Dryad.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Stone, Benjamin W",,United States,Dryad,Benjamin Stone,2022-07-01,2025-06-30,,,2022,216000,USD,"216,000.00",nsf,,2209128,NSF Postdoctoral Fellowship in Biology,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2022. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Dr. Benjamin Stone is ""Genomic predictability of ecological speciation: insights from replicate hybrid zones"". The host institution for the fellowship is the University of South Carolina and the sponsoring scientist is Dr. Carolyn Wessinger.<br/><br/>Identifying the evolutionary mechanisms underlying patterns of genetic differentiation between species as they diverge is a primary goal of speciation genomics. It is important to understand the genomics of speciation in a variety of biological systems, because doing so allows us to compare evolutionary processes across taxonomic groups and assess the degree to which evolution may be repeatable and predictable across the tree of life. However, our understanding these processes is currently limited, as much of our knowledge stems from controlled experimental crosses in genetic model systems. This project uses whole-genome sequence data to identify genomic features of adaptive divergence and reproductive isolation across natural hybrid zones of non-model plants in the genus Penstemon. The data and insights generated through this project have applications in evolutionary biology, agriculture management, and conservation biology, and include the development of a comparative framework which addresses the predictability of genomic features of adaptive trait divergence and speciation. Training objectives include the development and integration of new skills in the quantification and analysis of phenotypic and genomic variation in natural populations, as well as the development of mentoring and project management skills through the mentorship of undergraduate researchers and the completion of mentoring training programs. Broader impacts include broadening diversity in STEM by utilizing well-established programs at the host institution that target undergraduate researchers from historically underrepresented groups in STEM. This includes the recruitment of undergraduate mentees to collaborate on the work, and building mentee research expertise through supervised independent projects.<br/><br/>Adaptive radiation, or the proliferation of ecologically diverse species within a lineage, is a key mechanism of biological diversification. Despite the importance of this process, our understanding of the genomic underpinnings of adaptive trait divergence and reproductive isolation is limited, especially in non-model systems. This limitation inhibits our ability to determine the degree to which genomic processes of species differentiation are predictable and generalizable across the tree of life. This project integrates complementary methodologies (admixture mapping and genomic cline analysis) across natural replicate hybrid zones in a non-model adaptive radiation to understand whether the genomic basis of adaptive trait divergence involves predictable features. These goals are pursued in two primary Objectives. Objective 1 integrates phenotypic and genomic data to map QTLs for adaptive floral divergence in separate hybrid zones involving secondary contact between distinct species pairs. Objective 2 identifies genomic regions associated with barriers to gene flow in hybrid zones and determines whether these regions correspond to identified floral QTLs. This project generates novel molecular (population-level whole-genome resequencing data) and phenotypic data for focal taxa in the genus Penstemon, and integrates complementary methodologies across these data sets to contribute to a more phylogenetically diverse perspective of the genetic underpinnings of ecological adaptations and their role in reproductive isolation. Phenotypic data and scripts for data analysis will be available on the Dryad Digital Repository. Genome assemblies will be archived in the NCBI Genome Assembly repository, and raw reads will be deposited in the NCBI Sequence Read Archive.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Gilman, Ian S",,United States,Dryad,Ian Gilman,2023-03-01,2026-02-28,,,2023,216000,USD,"216,000.00",nsf,,2208915,NSF Postdoctoral Fellowship in Biology: Exploring Cell-type Regulatory Dynamics of CAM and C4 Photosynthesis in Portulaca,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2022. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Dr. Ian S. Gilman is “Exploring Cell-type Regulatory Dynamics of CAM and C4 Photosynthesis in Portulaca”. The host institution for the fellowship is Michigan State University and the sponsoring scientist is Dr. Robert VanBuren.<br/><br/>C4 photosynthesis and Crassulacean Acid Metabolism (CAM) are plant adaptations that increase the efficiency of photosynthesis. Many of the world’s most important crops use C4 photosynthesis, including maize, sugarcane, and millet, which allows them to quickly grow in low nutrient and high light environments. CAM greatly increases the efficiency of plants’ water use and is therefore commonly found in plants in water-scarce environments, such as the cacti of North American deserts. It was once thought that plants could use either C4 photosynthesis or CAM, but not both because they would compete for use of the same necessary enzymes and metabolites. However, the Purslanes (Portulaca)—common weeds across the globe—were discovered to combine C4 photosynthesis and CAM, which allows them to grow extremely fast in low nutrient and low water habitats like sidewalk cracks. Understanding how C4 photosynthesis and CAM can be combined will provide new ways to improve the drought tolerance of crops with C4 photosynthesis and shed light on fundamental questions of how genes are regulated for multiple roles. Broader impacts from this project will enhance engagement with the local community, both on and off campus, to highlight connections between botany and computer science, demonstrate how common weeds could revolutionize agriculture, and discuss the benefits of genetic engineering. Training objectives include obtaining expertise in horticulture, systems biology, molecular and computational methods development, and data integration.<br/><br/>C4 photosynthesis (C4) and Crassulacean Acid Metabolism (CAM) are carbon concentrating mechanisms (CCMs) that have evolved as plant responses to the low CO2 world of the past 30 million years. Both CCMs have co-opted the same set of ancient metabolic modules to boost the concentration of CO2 needed for photosynthesis, but have deployed these modules in contrasting ways. C4 concentrates CO2 spatially through a two-cell CO2 pump, while CAM accomplishes CO2 concentration with temporally coordinated carbon storage and re-release. These adaptations confer C4 species with the highest rates of plant photosynthesis, characterized by maize and sugarcane, and CAM plants with extremely high water use efficiencies, emblematic of cacti, aloes, and agaves. Although C4 and CAM have evolved independently in hundreds of lineages and share many biochemical components, only two land plant lineages are known to use both C4 and CAM (C4+CAM): Portulaca and Trianthema, C4 plants that facultatively exhibit CAM in response to abiotic stress. Portulaca, with multiple independent origins of C4+CAM, offers unique insights into how multiple CCMs can be integrated to increase the drought tolerance of highly productive C4 crops. This project will leverage systems and computational biology to identify the genetic elements controlling the temporal and spatial coordination of CAM and C4 in Portulaca at the cell-type level. The first goal of the project is to capture expression dynamics of individual cells using single cell RNAseq and identify CCM-related cis-regulatory elements using assay for transposase-accessible chromatin using sequencing (ATACseq). Machine learning based methods will use these data to construct gene regulatory networks that distinguish cis-elements and regulatory dynamics governing C4 and CAM. Finally, regulatory networks will be compared between species to identify shared and unique elements underlying the evolution of CCMs in Portulaca. Data generated for this project will be made available to the public though NCBI's Short Read Archive (SRA) and DataDryad (https://datadryad.org), and step-by-step walkthroughs of analyses will be hosted on GitHub (https://github.com).<br/><br/>Keywords: gene regulatory networks, single-cell sequencing, C4 photosynthesis, Crassulacean Acid Metabolism, ATACseq, transcriptomics<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Sandstedt, Gabrielle D",,United States,Dryad,Gabrielle Sandstedt,2023-07-01,2026-06-30,,,2023,249000,USD,"249,000.00",nsf,,2305718,NSF Postdoctoral Fellowship in Biology: Characterizing Ecological and Genetic Mechanisms of Hybrid Vigor in Boechera,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2023. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Gabrielle Sandstedt is ""Investigating the genetic and ecological basis of hybrid vigor in nature"". The host institution for the fellowship is Utah State University and the sponsoring scientists are Drs. Catherine Rushworth and Emily Josephs.<br/> <br/>A critical concern for plant breeding is ensuring food security in a world impacted by climate change. One approach to this problem is breeding genetically divergent plants to create hybrids that outperform their parents in survival and reproduction, a phenomenon called hybrid vigor. While hybrid vigor has led to the formation of many hybrid crops, it is not understood how hybrids will respond to changing environments. This work utilizes Boechera, a wildflower system to deepen an understanding of the genetics and ecology of hybrid vigor in nature. Such knowledge can be implemented to secure the food supply. Additionally, this research will allow to promote equitable opportunities for students in academia by participating in programs that support undergraduates from diverse backgrounds, such as Utah State University's Native American Summer Mentorship Program. The research also presents valuable opportunities initiating public discussions on the role of research in developing crops that meet the needs of a growing population. The Fellow will coordinate these discussions and provide learning activities at the longstanding scientific lecture series Science Unwrapped, a science outreach program hosted by Utah State University.<br/><br/>The purpose of this research is to identify ecological variables and genetic mechanisms that facilitate hybrid vigor in nature. To pinpoint the effects of key environmental variables on hybrid vigor, parental lines and hybrid combinations of two Boechera species, along with wild-collected hybrids, will be planted in a manipulative field experiment and measured for fitness. The next objective uses genomic and transcriptomic sequencing data of natural hybrids and de novo crosses to determine the genetic mechanisms involved in hybrid vigor. This includes characterizing the distribution of genetic load within Boechera species, examining whether heterozygosity masking these alleles in hybrids predicts fitness across environments, and determining how differential gene expression underlying hybrid vigor phenotypes varies across environments. The research will generate extensive data, including seed collections, plant tissue samples, fitness and trait measurements (which will be submitted to https://datadryad.org), and several types of genomic sequence data (which will be made available on https://www.ncbi.nlm.nih.gov/sra). Together, these data will reveal ecological and genetic factors that contribute to hybrid vigor while providing substantial ecological and genetic resources.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Snodgrass, Samantha",,United States,Dryad,Samantha Snodgrass,2024-01-01,2026-12-31,,,2024,249000,USD,"249,000.00",nsf,,2305694,NSF Postdoctoral Fellowship in Biology: Human Domestication of Maize as Bio-cultural Coevolution,"This action funds an NSF Plant Genome Postdoctoral Research Fellowship in Biology for FY 2023. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Samantha Snodgrass is ""Human Domestication of Maize as Bio-cultural Coevolution"". The host institution for the fellowship is the University of California (UC) Davis and the sponsoring scientists are Drs. Jeffrey Ross-Ibarra and Dr. Graham Coop.<br/><br/>Plant domestication and agriculture are key innovations underlying the past 10,000 years of human civilization. Domestication alters how plants benefit humans, which can result in tight dependencies. For example, maize cannot survive outside of human cultivation, yet is planted across the globe in extremely different environments because it is a vital food source for humans. While archaeology and genetic research have revealed much about when and where domestication of maize occurred, it is unclear how maize was moved with and among early farmer communities and which traits were important early versus later in the process. This project uses population genetics to create methods addressing these long-standing questions in maize and other crops. Answers may shed light on why some species are hard to domesticate and will guide efforts to domesticate new crops. Training objectives include gaining expertise in statistical population genetics, professional development for managing large, interdisciplinary teams and establishing professional ties with evolutionary biologists, anthropologists, and Mesoamerican foodway scholars at UC Davis to facilitate future collaboration. Broader impacts include developing publicly available undergraduate curricula focused on introducing biology students to the field of population genetics and the possibilities opened by big data in both sequencing and trait-measuring efforts.<br/> <br/>Given the close relationship between farmers and domesticates, several researchers have proposed theoretical models of domestication as bio-cultural coevolution. Current methods to investigate evolution in such systems typically focus on a single species. This project will expand upon those approaches by treating humans and maize as coevolving species. Specifically, project objectives include 1) estimating joint admixture graphs to better understand how maize moved with and among early farmer communities and the timing and strength of selection on traits; 2) estimating signatures of polygenic selection across 200+ traits scored in maize and placing them at specific time periods within the admixture graph to show selection patterns on polygenic traits not retained in the archeological record but important to adaptation such as flowering time; and, 3) applying the results and methods to the study of other American domesticates to test the generality of domestication patterns found in maize. All scripts will be publicly available on GitHub and associated with a publication. All genomic data will come from or be made available on NCBI and/or CyVerse and aggregated trait data will be available on a data platform such as CyVerse and/or Dryad.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Galen Spencer,,United States,Dryad,Spencer Galen,2018-10-01,2020-09-30,,,2018,138000,USD,"138,000.00",nsf,,1811806,NSF Postdoctoral Fellowship in Biology FY 2018 - Testing the Oscillation Hypothesis of Symbiont Diversification using Parasites Isolated from Host Tissue Collections,"This action funds an NSF Postdoctoral Research Fellowship in Biology for FY 2018, Research Using Biological Collections. The fellowship supports research and training of the fellow that will utilize biological collections in innovative ways. The title of the research and training plan for this fellowship to Spencer Galen is ""Testing the Oscillation Hypothesis of Symbiont Diversification using Parasites Isolated from Host Tissue Collections"" The host institution for the fellowship are the Academy of Natural Sciences of Drexel University (ANSDU) and the sponsoring scientist is Dr. Jason Weckstein.<br/><br/>The goal of this research is to identify the factors that influence the diversification and distribution of symbiotic organisms (organisms that live in close association with a host), a group that is thought to comprise the majority of species on Earth. Symbionts play critically important roles in the function of ecological communities worldwide, though the traits and general rules that have produced modern symbiont diversity are still poorly understood. This project will gain insight into the patterns and processes that have resulted in the incredible diversity of modern symbionts by studying an expansive collection of avian malaria parasites, a symbiont group that is closely related to the deadly human malaria parasites. Specifically, this research will examine how variation in the number of host species that a parasite can infect, known as ""host breadth"", influences a parasite's potential to diversify or colonize new geographic regions. By analyzing the host breadth of malaria parasites that have been isolated from a large collection of avian tissues sampled across North and South America, this research will improve our understanding of how parasites and symbionts more broadly have come to be so exceptionally diverse and have attained their current distributions. In addition, studying the causes of parasite diversification and distributions will lead to a better understanding of when and where novel disease-causing parasite species originate, a problem of major importance in today's rapidly changing world. Training objectives include sequence capture probe design and implementation, phylogenomic analysis, phylogenetic comparative analysis, and methods used in parasite specimen acquisition, accession, and curation. Broader impacts include outreach importance of symbionts to educational camps at the ANSDU and the mentoring of high school and undergraduate students through the Students Tackling Advanced Research (STAR) Scholars in Natural Sciences programs. <br/><br/>The Fellow will use the oscillation hypothesis of symbiont diversification as a framework to test the effect of host breadth on parasite geographic range evolution and diversification. This research will utilize malaria parasites isolated from a geographically and taxonomically expansive collection of avian tissues located at the ANSDU and the Field Museum of Natural History. Malaria parasite genetic data will be collected using a novel exon capture probe design to estimate a robust phylogeny for the group and thousands of avian tissue samples will be tested for malaria infection to estimate parasite host breadth and geographic range size metrics. Data from this project will be analyzed using phylogenetic comparative methods to test for associations between host breadth evolution, geographic range shifts, and malaria diversification. To promote the use of and increase accessibility of project outcomes, all products from this research will be made available on public repositories (GenBank, Dryad, ParaSite, MalAvi). In addition, specimens involved in this research will be vouchered in public research institutions, and the research will be published in open-access journals.<br/><br/>Keywords: Diversification, Host breadth, Malaria parasites, Oscillation Hypothesis, Phylogenomics, Sequence Capture<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Northeastern University,,United States,arXiv,Pran Nath,2013-09-15,2017-08-31,,,2013,703000,USD,"703,000.00",nsf,,1314774,Research in Elementary Particle Theory,"This award funds the research activities of Professors Pran Nath, Haim Goldberg, Brent D Nelson and Tomasz Taylor at Northeastern University in Boston, Massachusetts. <br/><br/>The Principal Investigators (PIs) plan to carry out research in broad areas of particle physics with the aim of deciphering the nature of physics that lies beyond the Standard Model. Their theoretical investigations are closely linked with the current experimental efforts such as those at the Large Hadron Collider as well as in several underground experiments searching for dark matter and satellite experiments which probe the early history of the universe. The efforts of the PIs are based on supersymmetry, supergravity and string theory as these are the leading theoretical frameworks for new physics beyond the Standard Model. The PIs also plan to pursue neutrino cosmology and dark radiation in Big Bang Nucleosynthesis and in Cosmic Microwave Background data coming from the PLANCK satellite experiment. <br/><br/>This research project also has a strong educational component which involves the training of graduate and undergraduate students. Several students will work with the PIs on their Ph.D. dissertations and additionally the research projects will be used as an educational tool for physics majors regarding developments on particle physics frontiers. The results of this research will be disseminated via publications in refereed journals, through open access arXiv.org, through talks at international conferences, and through popular journals. This research project will also involve collaborators from many countries and thus will enhance international collaboration in fundamental physics.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Columbia University,,United States,arXiv,Yuri Levin,2018-08-15,2019-07-31,,,2018,12135,USD,"12,135.00",nsf,,1841897,Workshop on Plasma Physics of Neutron Star Mergers,"This award will provide partial support for a Workshop on Plasma Physics of Neutron Star Mergers scheduled to take place on October 1-3, 2018 at the Center for Computational Astrophysics of the Flatiron Institute in New York City, NY. This workshop will bring together experts in gravitational wave astrophysics and plasma physics to discuss key problems at the interface between these two traditionally disconnected fields, identify ""grand challenge"" problems, and identify areas where significant progress could be made in the next 5-10 years. It is anticipated that substantial progress in addressing these scientific challenges will entail significant computational resources and new methodologies, so it is fitting that the Center for Computational Astrophysics has expressed interest in hosting the workshop.<br/><br/>The merger of neutron stars GW170817 has been the best observed astronomical event in recorded history, with LIGO detection triggering successful observations by 70 teams working in the gamma ray, x-ray, UV, optical, and radio bands. Close to 150 preprints dedicated to the merger appeared on the arXiv during the two days after the publication of the LIGO result in October 2017. The workshop is an opportunity to bring into this field the plasma physicists and magnetohydrodynamics (MHD) experts that have the expertise to understand the plasma/MHD phenomena that are crucial for generating the fireworks in the whole of the electromagnetic spectrum. It is expected that the workshop will have a large impact on both the plasma physics research and on the multi-messenger astrophysics of neutron star mergers. The outcome will include improved understanding of the environment for heavy element nucleosynthesis, which has been shown to be crucial for the chemical evolution of galaxies, and key input for design of future astronomical facilities and missions.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Carnegie-Mellon University,,United States,arXiv,Noah Smith,2014-05-01,2015-04-30,,,2014,25000,USD,"25,000.00",nsf,,1433108,Workshop: Support for a workshop on scientific research applications of natural language technologies,"This is funding for a one-day workshop on scientific research applications of natural language technologies to be held at the annual meeting of the Association for Computational Linguistics (ACL), in Baltimore on June 26, 2014. A major growth area in applied computer science has been the application of automated techniques to massive datasets to answer scientific questions about people and society. Although much work in this area focuses on structured data or network data, linguistic data is also a key source of evidence for these phenomena. While some existing natural language processing (NLP) techniques have found use in this growing community, new techniques for discovering and analyzing social meanings and structures in text are in high demand.<br/><br/>Intellectual merit. Engagement between NLP researchers and domain scientists will introduce new problem formulations and new theoretical frameworks that will broaden and deepen applications of language technology to social science. Potential topics for presentations and discussion include (but are by no means limited to): inferring social relations from conversation and other linguistic behavior; automatic extraction of event data from text; inference of author and speaker properties from text and speech; relating text datasets to author social networks; tracking language change over space, time, and communities; measuring linguistic influence; computational analysis of literary and historical corpora; and tracking the flow of information, ideas, and sentiment through social networks. Much of the data to be studied comes from online communities, which are a focus of the Cyber-Human Systems program.<br/><br/>Broader Impact. This workshop will increase the visibility of the computational social science application area for ACL researchers and will help build connections between language technologists and social scientists. The workshop¹s format aims at fostering interactions among participants and invited speakers, contributing towards building a community interested in language technologies and domain scientists. This format is especially beneficial to student participants, who will leave with new ideas about guiding applications. As is typical for ACL workshops, an archival proceedings will be published openly through the ACL Anthology. The workshop organizers will report on the workshop, synthesizing the discussion at the workshop with an emphasis on research topics with greatest potential in the near future. The report will be published openly (e.g., posted to arXiv and possibly submitted for publication in a relevant journal) within a few months after the workshop.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Amherst College,,United States,arXiv,Robert Benedetto,2015-08-01,2019-07-31,,,2015,178745,USD,"178,745.00",nsf,,1501766,RUI: Galois Action and Entropy in Non-archimedean Dynamics,"This project concerns a number of open problems in non-archimedean dynamics, a field on the interface between number theory and traditional (archimedean) dynamical systems. This project joins together the very different realms of dynamical systems and of number theory. Diophantine problems, which ask about the set rational number solutions to polynomial equations, have been a major theme in number theory from ancient times to the present day. On the other hand, the study of dynamical systems has arisen far more recently, exhibiting not only a purely mathematical beauty but also spectacular computer drawings of fractals and related sets. This project draws on, builds on, and joins together both fields. In addition, as in three earlier successful projects, the investigator plans to supervise some students in an REU summer research project to aid in their mathematical training. Any computational data produced in the REU will be published or posted on the web, for the benefit of the larger research community. Naturally, any results will also be disseminated via websites such as ArXiv and publication in mathematical journals. In addition, the PI is currently writing a graduate-level textbook on dynamics in one non-archimedean variable, as the field has too few expository texts today.<br/><br/>One key class of problems concerns Galois actions on non-archimedean dynamical systems, related to the central number theory problem of understanding the absolute Galois group of the rational numbers. On the one hand, non-archimedean dynamics provides the local information needed in arithmetic dynamics, which in turn realizes itself as a particular kind of Diophantine problem. A second class of problems concerns the ergodic properties, especially the entropy, of such dynamical systems; the entropy is a number that measures the amount of chaos and unpredictability in the system. These two topics are tied together by the study of Julia sets in Berkovich spaces, which are technical objects that, in the past decade, have proven to be of central importance in the study of non-archimedean dynamics. The project also draws on tools from complex dynamics, ergodic theory, and non-archimedean analysis. The problems to be studied branch into new areas but are continuations of rich theories with long and storied histories. In particular, the Galois action problem promises to provide new (dynamical) tools for attacking the study of absolute Galois groups, while the study of the associated entropy issues promise to provide new examples in the study of the ergodic theory of dynamical systems.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Amherst College,,United States,arXiv,Robert Benedetto,2012-07-01,2016-06-30,,,2012,147253,USD,"147,253.00",nsf,,1201341,"RUI: Families, Ramification, and Berkovich Spaces in Non-archimedean Dynamics","This project concerns a number of open questions in non-archimedean dynamics, a field bridging the interface between number theory and traditional (archimedean) dynamical systems. In the past ten years, it has become clear that Berkovich spaces, a certain class of technical objects in non-archimedean analysis, are essential for the non-archimedean theory. In particular, the construction of a probability measure invariant under the dynamical system requires the use of Berkovich spaces. Also in the past decade, our understanding of ramification of functions on Berkovich spaces has grown, and with it has grown our ability to apply the existence of invariant measures to certain problems in non-archimedean dynamics. In addition, the use of one-parameter families has been used to great effect in constructing pathological examples of non-archimedean dynamical systems. Using all these newly available tools in tandem, the PI plans to study several open questions that have resisted previous less sophisticated attacks. The proposal draws on tools from both complex dynamics and non-archimedean analysis, and the problems to be studied have applications to the theory of arithmetic dynamics over global fields and hence to certain problems in Diophantine geometry.<br/><br/>This project joins together the very different realms of dynamical systems and of number theory. On the one hand, non-archimedean dynamics is a subfield of arithmetic dynamics, which concerns a particular class of Diophantine geometry problems. Such problems, i.e., understanding the set of rational number solutions to a naturally arising set of polynomial equations, have been a major theme in number theory from the ancient Greeks through Fermat and into the present day. On the other hand, the study of dynamical systems, and especially of complex dynamics, has arisen far more recently, exhibiting not only a purely mathematical beauty but also spectacular computer drawings of fractals and related sets. This project's proposed study of non-archimedean dynamics thus draws on, builds on, and joins together both fields, the ancient and modern alike. In addition, as in two earlier successful projects, the PI plans to supervise some students in an REU summer research project to aid in their mathematical training. Depending on the interest of the students, the REU may involve some intensive computer computations to generate interesting examples; if so, any relevant data generated will be published or posted on the web, for the benefit of the larger research community. Naturally, any results will also be disseminated via websites such as ArXiv and publication in mathematical journals.<br/>In addition, the PI is currently writing a graduate-level textbook on dynamics in one non-archimedean variable, as the field has too few expository texts today.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Amherst College,,United States,arXiv,Robert Benedetto,2021-07-01,2024-06-30,,,2021,208666,USD,"208,666.00",nsf,,2101925,RUI: Arboreal Galois Groups and Nonarchimedean Dynamics,"This project concerns certain open questions in arithmetic dynamics, a field bridging number theory and dynamical systems. While the number-theoretic study of rational numbers and polynomial equations lies far from the chaos and fractals that arise in the study of dynamics, the two are tied together in this setting by p-adic dynamics. In addition, the PI will supervise undergraduate students in an REU summer research project to bolster their mathematical training. Any computational data produced in the REU will be published or posted on the web, for the benefit of the larger research community. Results from the project will also be disseminated via websites such as arXiv and via publication in mathematical journals.<br/><br/>The specific questions to be studied arise in two areas within arithmetic dynamics: first, the action of Galois groups on dynamical orbits, and second, moduli spaces of nonarchimedean dynamical systems. On the Galois side, certain p-adic dynamical features are essential to exhibiting enough Galois automorphisms to generate the complicated Galois groups in question. On the moduli space side, nonarchimedean dynamics has evolved into an established field of research, but relatively little is currently known about one-parameter families of nonarchimedean dynamical systems. The project will focus on dynamics on the Berkovich projective line, the appropriate space on which one-variable nonarchimedean systems act. The problems to be explored are new areas that are continuations of rich theories with long histories in dynamics, Galois theory, and nonarchimedean analysis. In particular, the first topic promises to provide new dynamical tools for addressing the study of absolute Galois groups, while the second promises new approaches to moduli problems in arithmetic dynamical systems.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Syracuse University,,United States,arXiv,Daniel Acuna,2016-09-01,2019-08-31,,,2016,168712,USD,"168,712.00",nsf,,1646763,EAGER: Improving scientific innovation by linking funding and scholarly literature,"This project identifies scientists and organizations and their topical interests, enabling the tracking of past productivity and impact. By linking scholarly literature and grants, this project creates a unified dataset that captures diverse scientific disciplines and federal grant award types. A web-based levels the playing field for scientists lacking knowledge about research and funding programs. Users are expected to spend less time searching the literature and more time evaluating significance and impact. <br/><br/>This project consolidates disparate repositories of publications and grants, disambiguates and enriches information about scientists and organizations, and builds a web-based tool to help navigate this information. This project solves many of these issues by modeling the relationship approximately 2.6 million grants from the Federal RePORTER, and a consolidated, multi-source dataset of millions of articles from Microsoft Academic Graph (83 M), MEDLINE (25 M), PubMed Open Access Subset (1 M), ArXiv (0.6 M), and the National Bureau of Economic Research [NBER] (14K). The project creates a web-based tool that generates instantaneous reports about publications, grants, scientists, and organizations related to users' interests. The unified dataset and web tool could revolutionize how Program Officers evaluate proposals and how researchers find fundable ideas, making science faster, more accurate, and less biased.",,Repository service,,,"Repository service, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,American Geophysical Union,,United States,Dryad,Shelley Stall,2020-10-01,2024-09-30,,,2020,623694,USD,"623,694.00",nsf,,2025364,"Accelerating Open and FAIR Data Practices Across the Earth, Space, and Environmental Sciences: A Pilot with the NSF to Support Public Access to Research Data","This project implements FAIR data practices across the Earth, space, and environmental sciences. By the end of the project, data citations for data funded by NSF EAR grants are captured in the NSF Public Access Repository (NSF PAR) and knowledge of leading practices and workflows around data citation are well known across the AGU community. This project, funded as a pilot activity for the NSF PAR system, will have the outcome of strengthening the ecosystem for data in support of publications. <br/> <br/>AGU will work with its publishing partner Wiley to ensure that data citations are tracked and exposed in articles. CHORUS will develop technical connections with Scholix to obtain data citation information to augment its publication information that it makes available to NSF. AGU will join Dryad as a member and use the Dryad repository as a location for data deposit when a discipline specific repository is unavailable. Outreach activities targeting awareness and adoption will be organized through AGU and ESIP’s Data FAIR workshops at scientific meetings, journal society meetings, and repository community meetings.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Auburn University at Montgomery,,United States,arXiv,Jerome Goddard,2015-08-15,2019-07-31,,,2015,137822,USD,"137,822.00",nsf,,1516560,"Collaborative Research: Mathematical and Experimental Analysis of Ecological Models: Patches, Landscapes and Conditional Dispersal on the Boundary","This project is an integration of mathematical modeling and experimental analysis of an invertebrate predator-prey system to explore the effects of habitat fragmentation, conditional dispersal, predation, and interspecific competition on herbivore population dynamics from the patch level to the landscape level. It represents a unique collaboration between two mathematicians, and ecologist, and undergraduate and PhD students. This project is expected to provide much-needed information in population ecology on the consequences of conditional dispersal to population dynamics of species in fragmented landscapes. Results from this project will answer several key ecological questions such as will the presence of density dependent dispersal help to moderate potentially detrimental factors as habitat fragmentation or worse, exacerbate their effects. The project will also provide a significant contribution towards the analysis of elliptic boundary value problems with nonlinear boundary conditions, as new mathematical tools will be developed to better understand the dynamics of these population models. Finally, the project will provide clear guidelines for how empirical studies should be constructed to evaluate the presence and consequences of density dependent dispersal in light of the predictions of these theoretical models. The investigators will disseminate the results of this project to both the ecological and mathematical communities through various media including peer-reviewed mathematical and ecological journals, talks at national and international conferences, and a user-friendly website showcasing the research. An important aspect of this project will involve the training of graduate and undergraduate students through workshops hosted by the investigators and mentorship of independent research projects. Moreover, a population dynamics curriculum covering basic population ecology through mathematical tools and interesting examples for exploring population models related to density dependent dispersal will be developed targeting undergraduate and advanced level high school students and freely available to the public via the project's website.<br/><br/>The purpose of this collaborative project between will be an integration of modeling of population dynamics via reaction diffusion models, mathematical analysis, and experimental analysis of an invertebrate system to explore the effects of habitat fragmentation, conditional dispersal, predation, and interspecific competition on herbivore population dynamics from the patch level to the landscape level. This study will help answer important biological questions such as 1) what patch level effects can be expected from density dependent dispersal, specifically of positive, negative or U-shaped density dependent dispersal, 2) does density dependent dispersal moderate or even exacerbate the effects of habitat fragmentation, Allee effects, interspecific competition, or predation on local or regional stability/persistence of a population, and 3) how should empirical studies be constructed to evaluate the presence and consequences of density dependent dispersal in light of the predictions of these theoretical models. A more comprehensive understanding of the patch and landscape level consequences of density dependent dispersal in the presence of such complicating factors as predation, interspecific competition, and habitat fragmentation is important by itself, but may also lead to the development of better population management strategies, especially in an environment where populations face diverse ecological challenges due to predation, habitat fragmentation, and global climate change. This project is expected to be significant by providing much-needed information in population ecology on the consequences of conditional dispersal (i.e., as a function of the density of conspecifics, interspecific competitors, and predators) to population dynamics of species in fragmented landscapes. The research is novel because, to date, theoretical and empirical studies in fragmented systems have ignored other forms of density dependent dispersal (negative or U-shaped) that are commonly found in nature. Results from this project will answer several key ecological questions as to whether the presence of negative or U-shaped density dependent dispersal helps to moderate potentially detrimental factors as habitat fragmentation or worse, exacerbate their effects. The project will also provide a significant contribution towards the analysis of elliptic boundary value problems with nonlinear boundary conditions, as new mathematical tools will be developed to better understand the dynamics of these population models. Further, development of a true landscape level modeling framework built on reaction diffusion equations will serve as a foundation for enhanced study of landscape dynamics in theoretical models. The investigators plan to disseminate the results of this project to both the ecological and mathematical communities through various media including: the ArXiv, peer-reviewed mathematics, mathematical biology, and ecology journals, and in talks at mathematical biology and ecological conferences.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Louisiana State University,,United States,arXiv,James Cronin,2015-08-15,2019-07-31,,,2015,253184,USD,"253,184.00",nsf,,1516833,"Collaborative Research: Mathematical and Experimental Analysis of Ecological Models: Patches, Landscapes and Conditional Dispersal on the Boundary","This project is an integration of mathematical modeling and experimental analysis of an invertebrate predator-prey system to explore the effects of habitat fragmentation, conditional dispersal, predation, and interspecific competition on herbivore population dynamics from the patch level to the landscape level. It represents a unique collaboration between two mathematicians, and ecologist, and undergraduate and PhD students. This project is expected to provide much-needed information in population ecology on the consequences of conditional dispersal to population dynamics of species in fragmented landscapes. Results from this project will answer several key ecological questions such as will the presence of density dependent dispersal help to moderate potentially detrimental factors as habitat fragmentation or worse, exacerbate their effects. The project will also provide a significant contribution towards the analysis of elliptic boundary value problems with nonlinear boundary conditions, as new mathematical tools will be developed to better understand the dynamics of these population models. Finally, the project will provide clear guidelines for how empirical studies should be constructed to evaluate the presence and consequences of density dependent dispersal in light of the predictions of these theoretical models. The investigators will disseminate the results of this project to both the ecological and mathematical communities through various media including peer-reviewed mathematical and ecological journals, talks at national and international conferences, and a user-friendly website showcasing the research. An important aspect of this project will involve the training of graduate and undergraduate students through workshops hosted by the investigators and mentorship of independent research projects. Moreover, a population dynamics curriculum covering basic population ecology through mathematical tools and interesting examples for exploring population models related to density dependent dispersal will be developed targeting undergraduate and advanced level high school students and freely available to the public via the project's website.<br/><br/>The purpose of this collaborative project between will be an integration of modeling of population dynamics via reaction diffusion models, mathematical analysis, and experimental analysis of an invertebrate system to explore the effects of habitat fragmentation, conditional dispersal, predation, and interspecific competition on herbivore population dynamics from the patch level to the landscape level. This study will help answer important biological questions such as 1) what patch level effects can be expected from density dependent dispersal, specifically of positive, negative or U-shaped density dependent dispersal, 2) does density dependent dispersal moderate or even exacerbate the effects of habitat fragmentation, Allee effects, interspecific competition, or predation on local or regional stability/persistence of a population, and 3) how should empirical studies be constructed to evaluate the presence and consequences of density dependent dispersal in light of the predictions of these theoretical models. A more comprehensive understanding of the patch and landscape level consequences of density dependent dispersal in the presence of such complicating factors as predation, interspecific competition, and habitat fragmentation is important by itself, but may also lead to the development of better population management strategies, especially in an environment where populations face diverse ecological challenges due to predation, habitat fragmentation, and global climate change. This project is expected to be significant by providing much-needed information in population ecology on the consequences of conditional dispersal (i.e., as a function of the density of conspecifics, interspecific competitors, and predators) to population dynamics of species in fragmented landscapes. The research is novel because, to date, theoretical and empirical studies in fragmented systems have ignored other forms of density dependent dispersal (negative or U-shaped) that are commonly found in nature. Results from this project will answer several key ecological questions as to whether the presence of negative or U-shaped density dependent dispersal helps to moderate potentially detrimental factors as habitat fragmentation or worse, exacerbate their effects. The project will also provide a significant contribution towards the analysis of elliptic boundary value problems with nonlinear boundary conditions, as new mathematical tools will be developed to better understand the dynamics of these population models. Further, development of a true landscape level modeling framework built on reaction diffusion equations will serve as a foundation for enhanced study of landscape dynamics in theoretical models. The investigators plan to disseminate the results of this project to both the ecological and mathematical communities through various media including: the ArXiv, peer-reviewed mathematics, mathematical biology, and ecology journals, and in talks at mathematical biology and ecological conferences.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of North Carolina Greensboro,,United States,arXiv,Ratnasingham Shivaji,2015-08-15,2019-07-31,,,2015,203834,USD,"203,834.00",nsf,,1516519,"Collaborative Research: Mathematical and Experimental Analysis of Ecological Models: Patches, Landscapes and Conditional Dispersal on the Boundary","This project is an integration of mathematical modeling and experimental analysis of an invertebrate predator-prey system to explore the effects of habitat fragmentation, conditional dispersal, predation, and interspecific competition on herbivore population dynamics from the patch level to the landscape level. It represents a unique collaboration between two mathematicians, and ecologist, and undergraduate and PhD students. This project is expected to provide much-needed information in population ecology on the consequences of conditional dispersal to population dynamics of species in fragmented landscapes. Results from this project will answer several key ecological questions such as will the presence of density dependent dispersal help to moderate potentially detrimental factors as habitat fragmentation or worse, exacerbate their effects. The project will also provide a significant contribution towards the analysis of elliptic boundary value problems with nonlinear boundary conditions, as new mathematical tools will be developed to better understand the dynamics of these population models. Finally, the project will provide clear guidelines for how empirical studies should be constructed to evaluate the presence and consequences of density dependent dispersal in light of the predictions of these theoretical models. The investigators will disseminate the results of this project to both the ecological and mathematical communities through various media including peer-reviewed mathematical and ecological journals, talks at national and international conferences, and a user-friendly website showcasing the research. An important aspect of this project will involve the training of graduate and undergraduate students through workshops hosted by the investigators and mentorship of independent research projects. Moreover, a population dynamics curriculum covering basic population ecology through mathematical tools and interesting examples for exploring population models related to density dependent dispersal will be developed targeting undergraduate and advanced level high school students and freely available to the public via the project's website.<br/><br/>The purpose of this collaborative project between will be an integration of modeling of population dynamics via reaction diffusion models, mathematical analysis, and experimental analysis of an invertebrate system to explore the effects of habitat fragmentation, conditional dispersal, predation, and interspecific competition on herbivore population dynamics from the patch level to the landscape level. This study will help answer important biological questions such as 1) what patch level effects can be expected from density dependent dispersal, specifically of positive, negative or U-shaped density dependent dispersal, 2) does density dependent dispersal moderate or even exacerbate the effects of habitat fragmentation, Allee effects, interspecific competition, or predation on local or regional stability/persistence of a population, and 3) how should empirical studies be constructed to evaluate the presence and consequences of density dependent dispersal in light of the predictions of these theoretical models. A more comprehensive understanding of the patch and landscape level consequences of density dependent dispersal in the presence of such complicating factors as predation, interspecific competition, and habitat fragmentation is important by itself, but may also lead to the development of better population management strategies, especially in an environment where populations face diverse ecological challenges due to predation, habitat fragmentation, and global climate change. This project is expected to be significant by providing much-needed information in population ecology on the consequences of conditional dispersal (i.e., as a function of the density of conspecifics, interspecific competitors, and predators) to population dynamics of species in fragmented landscapes. The research is novel because, to date, theoretical and empirical studies in fragmented systems have ignored other forms of density dependent dispersal (negative or U-shaped) that are commonly found in nature. Results from this project will answer several key ecological questions as to whether the presence of negative or U-shaped density dependent dispersal helps to moderate potentially detrimental factors as habitat fragmentation or worse, exacerbate their effects. The project will also provide a significant contribution towards the analysis of elliptic boundary value problems with nonlinear boundary conditions, as new mathematical tools will be developed to better understand the dynamics of these population models. Further, development of a true landscape level modeling framework built on reaction diffusion equations will serve as a foundation for enhanced study of landscape dynamics in theoretical models. The investigators plan to disseminate the results of this project to both the ecological and mathematical communities through various media including: the ArXiv, peer-reviewed mathematics, mathematical biology, and ecology journals, and in talks at mathematical biology and ecological conferences.",,Repository service,,,"Repository service, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Rutgers University New Brunswick,,United States,arXiv,Paul Kantor,2011-08-15,2013-07-31,,,2011,299501,USD,"299,501.00",nsf,,1142251,EAGER: Adaptive Methods for Scalable Dissemination and Retrieval of Scientific Information,"This project seeks dramatically improved access to, and dissemination of, scientific information. Working with cooperating scientific users, it exploits synergies among three important innovations. These are: (1) adaptive and domain specific automatic derivation of topical representations. These topics describe both the documents in the collection, and the interests of the users, during particular searches. The topics support mechanisms for collaborative recommendation, and for exploring the precise contours of each user,s need. (2) Recognition that a combination or set of several items, together, is worth much more (or perhaps much less) than the sum of the values of the items individually. The arXiv experimental system (arXiv_XS) uses topics, and user feedback, to model the complexity of the user's need and interests. (3) Based on these innovations, the system can probe user's interest, selecting items where the user's feedback greatly improves the system's model of that user and his or her search. This ""exploration"" is designed to improve the systems performance, with minimal degradation of the current search. All these innovations are studied together with complex experimental design and statistical analysis; users may also volunteer to be interviewed, by the researchers, to provide richer information about their experiences with the system. Researchers from Rutgers, Cornell and Princeton lead the project.<br/><br/>This exploratory project focuses on the following tasks: (1) develop a richly instrumented voluntary alternative interface to the arXiv, with suitable IRB consent materials supporting active user feedback in the research process, as users search; (2) implement three specific innovative technologies (topics, sets, probes); (3) study their impact on system effectiveness, using experimental design and well-defined performance measures; (4) collect rich user assessments, by telephone and online interviews; (5) assess scalability with respect to the size of the collection, and the size of the ""communities of interest"" that define the topical user models; (6) seek relations at other domain-specific archives, for potential future studies. If successful, this research will refute a perception that improvement in access and dissemination of scientific literature requires massive techniques adapted from the commercial models for recommender systems and crowd-sourcing. This research will also add to on experimental design, user modeling, and the study of active learning and exploratory system designs.<br/><br/>This research will accelerate the production and sharing of scientific information, initially at the arXiv, and subsequently, wherever these innovations are implemented. The research aims to enable researchers who never meet each other to form an ""invisible college"" by enriching the arXiv systems understanding of all of its users. The project entails some risks, as users may be unwilling to share information about their research interests. While malevolent persons might seek to spam the system, falsely marking information as useful, it is anticipated that scientific communities will generate far less spam than does the world at large. Results of the research will be made available to other researchers, and incorporated in courses at all three universities. The Web site (http://arxiv_xs.rutgers.edu) is used to disseminate information and results from this project.",,Repository service,,,"Repository service, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,METADATA GAME CHANGERS LLC,,United States,Dryad,Ray Habermann,2021-08-15,2024-01-31,,,2021,299940,USD,"299,940.00",nsf,,2134956,EAGER: Dryad BRIDGE: Building Repository Interconnections with Dryad Guidance and Extensions,"This project will explore methods to increase the quality of data publication in a large multidisciplinary repository (Dryad) using techniques that can be broadly deployed in many scientific communities. The project will be undertaken by a metadata consulting firm in collaboration with Stanford University, and the Dryad repository. The quality of metadata associated with datasets is fundamental to the success of open science. Datasets with poor quality metadata are far less likely to be discovered or usefully described for open science purposes of reproducibility of results and generation of new research findings. Scalable methods for improving the quality of metadata for datasets will be extremely advantageous for open science purposes broadly. <br/><br/>The project has three broad technical goals, as follows. First, the project team will work with Dryad sub-disciplinary communities in Earth and Earth Sciences to develop enhanced metadata templates that better characterize datasets beyond the minimally required metadata fields. Second, the project team will assess and enhance metadata in Dryad by developing connectivity metadata metrics and baselines in consultation with Dryad user groups, integrating missing funder metadata into records, and attempting to apply the enhanced metadata templates to records. Third, the project team will apply both the enhanced metadata templates and enhanced metadata records produced to approximately 40K records in Dryad to identify potential connections to other repositories and service providers (especially with the EarthCube Council of Data Facilities repositories) and interlinkages with articles and funders to further enhance the quality of the metadata in Dryad as a proof of concept.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Indiana University,,United States,Dryad,Ellen Ketterson,2013-09-15,2018-08-31,,,2013,642041,USD,"642,041.00",nsf,,1257474,"Collaborative Research: Adaptive plasticity, timing, and population divergence in a songbird species","This research asks how animals know whether and when to migrate and when to breed. The focal animal is a songbird in which populations with separate breeding ranges winter together but differ in whether or not they migrate. When spring arrives the non-migrants begin to breed, while the non-migrants delay breeding despite living in the same environment. Research on the mechanisms that account for different responses to identical environments could help to explain how animals monitor the environment and adjust their physiology to their needs. The dark-eyed junco is a songbird and an ideal model to address these questions. <br/><br/>This project will investigate plasticity in hormone systems using hormonal ""challenges"" and pharmacological manipulations. It will also explore differences in gene expression between resident and migratory juncos from recently diverged populations (California) and longer diverged populations (in Virginia) that over-winter together but breed in different places at different times. The prediction is that migrants will differ from residents in their response to challenges and that recently diverged populations will differ less than populations that diverged longer ago. Another prediction is that gene expression in a common garden will differ between longer diverged populations as compared with recently diverged populations. <br/><br/>Broader impacts <br/>The research will enhance understanding of why and how some animals are able to thrive in changing environments, while other animals' ranges retreat, and some species are lost. This research will provide numerous opportunities to train graduate and undergraduate students, and knowledge gained will be disseminated broadly. The project will enable promotion of a documentary film starring the study species and designed for use in high schools and public venues for adult learners. <br/><br/>Data Management.<br/>Data supporting results in published papers will be made available on Genbank and/or Dryad. All data generated from this research will be archived in an online repository maintained by the Indiana University Library (https://scholarworks.iu.edu/dspace/handle/2022/7911).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,North Dakota State University Fargo,,United States,Dryad,Timothy Greives,2013-09-15,2017-08-31,,,2013,406000,USD,"406,000.00",nsf,,1257527,"Collaborative Research: Adaptive plasticity, timing, and population divergence in a songbird species","This research asks how animals know whether and when to migrate and when to breed. The focal animal is a songbird in which populations with separate breeding ranges winter together but differ in whether or not they migrate. When spring arrives the non-migrants begin to breed, while the non-migrants delay breeding despite living in the same environment. Research on the mechanisms that account for different responses to identical environments could help to explain how animals monitor the environment and adjust their physiology to their needs. The dark-eyed junco is a songbird and an ideal model to address these questions. <br/><br/>This project will investigate plasticity in hormone systems using hormonal ""challenges"" and pharmacological manipulations. It will also explore differences in gene expression between resident and migratory juncos from recently diverged populations (California) and longer diverged populations (in Virginia) that over-winter together but breed in different places at different times. The prediction is that migrants will differ from residents in their response to challenges and that recently diverged populations will differ less than populations that diverged longer ago. Another prediction is that gene expression in a common garden will differ between longer diverged populations as compared with recently diverged populations. <br/><br/>Broader impacts <br/>The research will enhance understanding of why and how some animals are able to thrive in changing environments, while other animals' ranges retreat, and some species are lost. This research will provide numerous opportunities to train graduate and undergraduate students, and knowledge gained will be disseminated broadly. The project will enable promotion of a documentary film starring the study species and designed for use in high schools and public venues for adult learners. <br/><br/>Data Management.<br/>Data supporting results in published papers will be made available on Genbank and/or Dryad. All data generated from this research will be archived in an online repository maintained by the Indiana University Library (https://scholarworks.iu.edu/dspace/handle/2022/7911).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Georgia Tech Research Corporation,,United States,arXiv,Brett Wick,2015-07-01,2015-10-31,,,2015,116697,USD,"116,697.00",nsf,,1500509,Applications of Harmonic Analysis to Function Theory and Operator Theory,"This research project will conduct a study of fundamental questions in function theory and operator theory using the tools and techniques of harmonic analysis. The project will address important questions now open to exploration because of recent advances made by the principal investigator and his collaborators. Resolution of these problems raised will find applications in function theoretic operator theory and yield new tools and techniques that can be adopted by the larger analysis community. The principal investigator will advise graduate students and postdoctoral fellows, include them in the proposed research projects, and provide mentoring, in order to assist them in transitioning to the next stage of their careers. Broad dissemination of the results will take place by participation in conferences and posting of the research to the arxiv preprint server.<br/><br/>This project will combine recent results of the principal investigator with motivation from function theory and operator theory to study questions related to the two-weight Hilbert transform and properties of model spaces. The first research direction to be explored couples the results of the principal investigator with questions about boundedness and invertibility properties of products of Toeplitz operators. In particular, the problems to be studied are aimed at obtaining a better understanding of the composition of paraproducts and determining necessary and sufficient conditions for their boundedness. Connections to the two-weight inequality for the Hilbert transform suggest related problems to investigate. Resolving the proposed problems will provide more insight into the recent characterization of the two-weight inequality for the Hilbert transform and related properties for Toeplitz operators on the Hardy space. An additional research direction, based upon the principal investigator's recent results and their connection to the description of the Carleson measure for model spaces, will be pursued. The open question of obtaining a characterization of the Riesz bases for model spaces leads to problems related to reverse Carleson measures for the model spaces, and their relation to two-weight inequalities for the Cauchy and Hilbert transforms. Additional directions of investigation connect to bilinear forms and commutators on model spaces.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Washington University,,United States,arXiv,Brett Wick,2015-08-17,2020-06-30,,,2015,180001,USD,"180,001.00",nsf,,1560955,Applications of Harmonic Analysis to Function Theory and Operator Theory,"This research project will conduct a study of fundamental questions in function theory and operator theory using the tools and techniques of harmonic analysis. The project will address important questions now open to exploration because of recent advances made by the principal investigator and his collaborators. Resolution of these problems raised will find applications in function theoretic operator theory and yield new tools and techniques that can be adopted by the larger analysis community. The principal investigator will advise graduate students and postdoctoral fellows, include them in the proposed research projects, and provide mentoring, in order to assist them in transitioning to the next stage of their careers. Broad dissemination of the results will take place by participation in conferences and posting of the research to the arxiv preprint server.<br/><br/>This project will combine recent results of the principal investigator with motivation from function theory and operator theory to study questions related to the two-weight Hilbert transform and properties of model spaces. The first research direction to be explored couples the results of the principal investigator with questions about boundedness and invertibility properties of products of Toeplitz operators. In particular, the problems to be studied are aimed at obtaining a better understanding of the composition of paraproducts and determining necessary and sufficient conditions for their boundedness. Connections to the two-weight inequality for the Hilbert transform suggest related problems to investigate. Resolving the proposed problems will provide more insight into the recent characterization of the two-weight inequality for the Hilbert transform and related properties for Toeplitz operators on the Hardy space. An additional research direction, based upon the principal investigator's recent results and their connection to the description of the Carleson measure for model spaces, will be pursued. The open question of obtaining a characterization of the Riesz bases for model spaces leads to problems related to reverse Carleson measures for the model spaces, and their relation to two-weight inequalities for the Cauchy and Hilbert transforms. Additional directions of investigation connect to bilinear forms and commutators on model spaces.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Santa Fe Institute,,United States,Dryad,Andrew Berdahl,2015-09-01,2018-08-31,,,2015,176854,USD,"176,854.00",nsf,,1545888,RAPID: Deploying Unmanned Aerial Vehicles for In-situ Studies of Collective Migration,"Throughout the natural world, animals make long distance migrations that involve astounding feats of navigation. Collective behavior such as schooling, flocking, and herding is ubiquitous in these migratory species. A growing body of research predicts that by migrating in groups, these animals may be increasing their ability to find their way. However, despite the strong connection between collective navigation and migration, tests for such effects in nature are rare. Migratory caribou, seeking safe passage across treacherous sea ice, are not only of significant ecological and social importance, but also represent an excellent system in which to explore collective navigation in nature. In this project, the researchers will leverage recent advances in Unmanned Aerial Vehicles (drones) and computer vision technology, to obtain movement trajectories of individual caribou within a herd. Using these trajectories they will determine the role of social interactions on the migratory dynamics of caribou, and investigate the risks of climate change and increased shipping traffic on these animals and their migration. RAPID funding will allow the team to join a government-led caribou survey, in November 2015, which would provide crucial logistical support and essential data. Through this collaboration, results will be disseminated directly to policy makers, improving caribou conservation and the well-being of the Aboriginal people relying on these animals for nutrition and traditional lifestyle. The technology developed will be widely applicable to other systems and provide a significant advance for the study of in situ animal behavior. Outreach associated with the research will provide extracurricular STEM education for underrepresented individuals in both Nunavut and New Mexico by engaging their imagination through the application of cutting-edge technology to important scientific questions.<br/><br/>Despite the clear ecological importance of animal movement, little is known about how animal groups collectively make movement decisions in their natural habitats. The purpose of this research is to prototype a holistic, state-of-the-art, open-source, remote sensing system with the capacity to capture high-definition video of animal groups in the wild and convert this footage into trajectory data, and deploy this technology to study social migration dynamics in caribou. The researchers will use the trajectory data to test the hypothesis that caribou benefit from collective navigation during their migration and uncover the specific mechanisms driving such effects. In addition to providing a tool useful for other groups studying in situ animal behavior, this research will help broaden the focus of research on navigation and migration, from the individual, to a view that explicitly includes the social context. Trajectory data will be posted on Dryad and the publicly accessible MoveBank website (http://movebank.org/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,William Marsh Rice University,,United States,arXiv,Shelly Harvey,2021-08-01,2024-07-31,,,2021,431778,USD,"431,778.00",nsf,,2109308,Knot and Link Concordance,"Topology is the study of the shape of spaces, called manifolds, that locally look like Euclidian space but globally can be quite complicated or curved. For example, the surface of the earth or the surface of a donut are examples of manifolds. In this case, on the surface there are two directions to move in and hence they are called 2-dimensional manifolds. This award will be used to study the topology of manifolds in dimensions 3 and 4 as well as how the natural submanifolds in both dimensions interact. The study of manifolds in dimensions 3 and 4 are of utmost important in science as it uncovers information about the world we live in (3-dimensions) as well as 4-dimensional objects which can be seen as space-time. The main goal of this project is to better understand which knots and links can be the slice of sphere in 3-dimensional space as it moves through space-time, called slice knots and links. This is especially important in studying the topology of 4-dimensional manifolds as it relates to one of the most important questions in topology: the Smooth 4-dimensional Poincare Conjecture. This conjecture says that if one can compute certain information about a 4-dimensional manifold and one gets the same answer as for the standard 4-dimensional sphere, then it is actually a sphere. This is the only dimension where it is still unknown. In addition, the PI aims to make progress to the famous Slice-ribbon Conjecture, which says that if a knot is slice then we can deform the 4-sphere in space-time so that is it ""nice"". Understanding topology and methods for homological algebra is especially important at this time as it is crucial to the study of topological data analysis, a leading area of data science. The PI will present the work at conferences, as well as publish and put the article on the public repository, arxiv.org so that the results are available to all. The PI will run conferences and special sessions where the majority of speakers are women or other underrepresented areas of mathematics. The award provides funds to train graduate students in research.<br/><br/>Knots and links are of fundamental importance in the study of 3- and 4-dimensional manifolds. For example, we can present any 4-manifold as a Kirby diagram of weighted links. Furthermore, topological knot and link concordance has a strong relationship to Freedman's surgery-theoretic scheme for classifying 4-dimensional manifolds. While much is understood about 3-manifolds, because of the geometrization conjecture and work of Agol, the study of smooth 4-dimensional manifolds is still poorly understood. This project will further our knowledge of knot and links concordance, as well as general 3- and 4-dimensional topology, subjects of vital importance in mathematics. The goal of the project is to have a better understanding of knot and link concordance as well as questions about 3-manifold groups. To do this, the PI will study the algebraic structure of the knot and links concordance groups along with their filtrations like the n-solvable and bipolar filtrations. Related to this, the PI will study their various metric spaces to show that they have the structure of a fractal space. In addition, the PI will study the behavior of knot and string link satellite operators on the space.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Clark University,,United States,Dryad,Philip Bergmann,2014-08-01,2019-07-31,,,2014,153155,USD,"153,155.00",nsf,,1353703,Collaborative Research: Developmental and functional mechanisms of complex trait re-evolution: Limb loss and gain in skink lizards.,"Understanding how complex characters evolve is central to developing fundamental theories of trait evolution. One such theory, Dollo?s Law, which states that once lost, complex characters cannot be re-evolved, has challenged biologists for more than a century. Despite recent evidence suggesting that complex characters can and do re-evolve, there is a lack of understanding of how and why these evolutionary reversals take place. The proposed study will address these questions by elucidating the functional underpinnings and the developmental mechanisms of complex trait re-evolution. This project will result in an unprecedented integration of functional morphology and developmental genetics in an evolutionary framework, facilitating communication between these fields.<br/><br/>The research project will use an integrative approach that synthesizes developmental genetics and functional morphology in a phylogenetic framework to study limb and digit loss and subsequent re-evolution in the Southeast Asian burrowing lizard genus Brachymeles. Objectives of the proposed research are to determine whether a phenotypic trait that has been lost re-evolves with the same or different functional capacities, and whether re-evolved digits develop via the same or different developmental mechanisms as ancestral digits. Surface locomotor velocity, acceleration, and burrowing speed and force will be quantified using high-speed video and a force transducer for ancestrally and re-evolved pentadactyl, intermediate, and limbless species. The developmental basis of limb and digit reduction and re-evolution in Brachymeles will be characterized to identify hypothesized developmental constraints on limb and digit re-evolution. Mesenchymal condensations of digits in embryos will be identified using histochemistry and in situ hybridization of nine genes associated with limb and digit patterning. The project will be also involve and train undergraduate and graduate students in research methods and will promote international collaborations. Minority and female students will be actively recruited and encouraged to participate in the research training opportunities provided by the project. Biologically themed outreach programs resulting from this project will target disadvantaged communities and local K-12 schools. Findings from the proposed project will be publicly disseminated online as part of an established biodiversity information website (http://philbreo.lifedesks.org/), at scientific conferences, in peer-reviewed journals, and through other existing databases (http://datadryad.org/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Massachusetts Amherst,,United States,Dryad,Duncan Irschick,2014-08-01,2019-07-31,,,2014,48920,USD,"48,920.00",nsf,,1353743,Collaborative Research: Developmental and functional mechanisms of complex trait re-evolution: Limb loss and gain in skink lizards,"Understanding how complex characters evolve is central to developing fundamental theories of trait evolution. One such theory, Dollo?s Law, which states that once lost, complex characters cannot be re-evolved, has challenged biologists for more than a century. Despite recent evidence suggesting that complex characters can and do re-evolve, there is a lack of understanding of how and why these evolutionary reversals take place. The proposed study will address these questions by elucidating the functional underpinnings and the developmental mechanisms of complex trait re-evolution. This project will result in an unprecedented integration of functional morphology and developmental genetics in an evolutionary framework, facilitating communication between these fields.<br/><br/>The research project will use an integrative approach that synthesizes developmental genetics and functional morphology in a phylogenetic framework to study limb and digit loss and subsequent re-evolution in the Southeast Asian burrowing lizard genus Brachymeles. Objectives of the proposed research are to determine whether a phenotypic trait that has been lost re-evolves with the same or different functional capacities, and whether re-evolved digits develop via the same or different developmental mechanisms as ancestral digits. Surface locomotor velocity, acceleration, and burrowing speed and force will be quantified using high-speed video and a force transducer for ancestrally and re-evolved pentadactyl, intermediate, and limbless species. The developmental basis of limb and digit reduction and re-evolution in Brachymeles will be characterized to identify hypothesized developmental constraints on limb and digit re-evolution. Mesenchymal condensations of digits in embryos will be identified using histochemistry and in situ hybridization of nine genes associated with limb and digit patterning. The project will be also involve and train undergraduate and graduate students in research methods and will promote international collaborations. Minority and female students will be actively recruited and encouraged to participate in the research training opportunities provided by the project. Biologically themed outreach programs resulting from this project will target disadvantaged communities and local K-12 schools. Findings from the proposed project will be publicly disseminated online as part of an established biodiversity information website (http://philbreo.lifedesks.org/), at scientific conferences, in peer-reviewed journals, and through other existing databases (http://datadryad.org/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Yale University,,United States,Dryad,Gunter Wagner,2014-08-01,2019-04-30,,,2014,194706,USD,"194,706.00",nsf,,1353691,Collaborative Research: Developmental and functional mechanisms of complex trait re-evolution: Limb loss and gain in skink lizards,"Understanding how complex characters evolve is central to developing fundamental theories of trait evolution. One such theory, Dollo?s Law, which states that once lost, complex characters cannot be re-evolved, has challenged biologists for more than a century. Despite recent evidence suggesting that complex characters can and do re-evolve, there is a lack of understanding of how and why these evolutionary reversals take place. The proposed study will address these questions by elucidating the functional underpinnings and the developmental mechanisms of complex trait re-evolution. This project will result in an unprecedented integration of functional morphology and developmental genetics in an evolutionary framework, facilitating communication between these fields.<br/><br/>The research project will use an integrative approach that synthesizes developmental genetics and functional morphology in a phylogenetic framework to study limb and digit loss and subsequent re-evolution in the Southeast Asian burrowing lizard genus Brachymeles. Objectives of the proposed research are to determine whether a phenotypic trait that has been lost re-evolves with the same or different functional capacities, and whether re-evolved digits develop via the same or different developmental mechanisms as ancestral digits. Surface locomotor velocity, acceleration, and burrowing speed and force will be quantified using high-speed video and a force transducer for ancestrally and re-evolved pentadactyl, intermediate, and limbless species. The developmental basis of limb and digit reduction and re-evolution in Brachymeles will be characterized to identify hypothesized developmental constraints on limb and digit re-evolution. Mesenchymal condensations of digits in embryos will be identified using histochemistry and in situ hybridization of nine genes associated with limb and digit patterning. The project will be also involve and train undergraduate and graduate students in research methods and will promote international collaborations. Minority and female students will be actively recruited and encouraged to participate in the research training opportunities provided by the project. Biologically themed outreach programs resulting from this project will target disadvantaged communities and local K-12 schools. Findings from the proposed project will be publicly disseminated online as part of an established biodiversity information website (http://philbreo.lifedesks.org/), at scientific conferences, in peer-reviewed journals, and through other existing databases (http://datadryad.org/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Oklahoma Norman Campus,,United States,Dryad,Cameron Siler,2014-08-01,2018-07-31,,,2014,230129,USD,"230,129.00",nsf,,1353683,Collaborative Research: Developmental and functional mechanisms of complex trait re-evolution: Limb loss and gain in skink lizards,"Understanding how complex characters evolve is central to developing fundamental theories of trait evolution. One such theory, Dollo's Law, which states that once lost, complex characters cannot be re-evolved, has challenged biologists for more than a century. Despite recent evidence suggesting that complex characters can and do re-evolve, there is a lack of understanding of how and why these evolutionary reversals take place. The proposed study will address these questions by elucidating the functional underpinnings and the developmental mechanisms of complex trait re-evolution. This project will result in an unprecedented integration of functional morphology and developmental genetics in an evolutionary framework, facilitating communication between these fields.<br/><br/>The research project will use an integrative approach that synthesizes developmental genetics and functional morphology in a phylogenetic framework to study limb and digit loss and subsequent re-evolution in the Southeast Asian burrowing lizard genus Brachymeles. Objectives of the proposed research are to determine whether a phenotypic trait that has been lost re-evolves with the same or different functional capacities, and whether re-evolved digits develop via the same or different developmental mechanisms as ancestral digits. Surface locomotor velocity, acceleration, and burrowing speed and force will be quantified using high-speed video and a force transducer for ancestrally and re-evolved pentadactyl, intermediate, and limbless species. The developmental basis of limb and digit reduction and re-evolution in Brachymeles will be characterized to identify hypothesized developmental constraints on limb and digit re-evolution. Mesenchymal condensations of digits in embryos will be identified using histochemistry and in situ hybridization of nine genes associated with limb and digit patterning. The project will be also involve and train undergraduate and graduate students in research methods and will promote international collaborations. Minority and female students will be actively recruited and encouraged to participate in the research training opportunities provided by the project. Biologically themed outreach programs resulting from this project will target disadvantaged communities and local K-12 schools. Findings from the proposed project will be publicly disseminated online as part of an established biodiversity information website (http://philbreo.lifedesks.org/), at scientific conferences, in peer-reviewed journals, and through other existing databases (http://datadryad.org/).",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Michigan State University,,United States,Dryad,Heather Eisthen,2014-09-01,2019-04-30,,,2014,510000,USD,"510,000.00",nsf,,1354089,Evolution of a pheromonal communication system in amphibians,"Understanding how organisms communicate with one other and how communication systems arise and change over time is a major challenge in biology. This project provides a rare opportunity to investigate the origin and diversification of a chemical communication system at the molecular level in amphibians (salamanders and frogs). In addition, this research can provide a novel framework for applications in computer science, where current research is focused on building systems that can evolve and use communication to accomplish jobs and then adapt as needs change. The project will also contribute to the training of a postdoctoral researcher and numerous undergraduate students in collaboration with MSU's BEACON Center and an ongoing REU site award. <br/><br/>Specifically, the objectives of this work are to trace the evolutionary link between compounds that amphibians produce in the skin as antimicrobials and their later use as pheromones; to purify and test the efficacy of those compounds as antimicrobials and pheromones; and to identify the molecular mechanism used to smell those compounds. The results will be obtained through the use of bioinformatics and genomics to trace the genetic history of genes, protein biochemistry to isolate and test the gene products, behavioral experiments to determine which compounds function as pheromones, and electrophysiology to identify the neuronal mechanisms responsible for sensing the pheromones. Results from these studies will be disseminated through peer-reviewed publications and through presentations at scientific conferences. All data will be available upon request and deposited at Dryad and the NCBI Trace archive.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Arizona State University,,United States,Dryad,Katherine Hinde,2016-07-01,2020-10-31,,,2016,288119,USD,"288,119.00",nsf,,1724803,Adolescent and Adult Outcomes of Early Life Lactroncrine Programming of Temperament: Neuroenergetics and Social Behavior,"Who we are- our behavior, physiology, and health throughout our lives- is strongly influenced by our early life. Decades of experimental research in animal taxa and epidemiological studies of humans have demonstrated that nutrition in the womb and behavioral care after birth are instrumental for the developing young. Mother's milk sustains infant growth, development, and behavioral activity, but little is known about the effects of milk on offspring brain and behavior, especially after weaning during adolescence and adulthood. Importantly, mother's milk is food, medicine, and hormonal signal. This project will investigate how mother's milk ingested in infancy influences neurobiology and social behavior in adolescence and adulthood by programming behavior during early life. Longitudinal, interdisciplinary research on how mother's milk shapes offspring, not only addresses key theoretical questions in animal behavior, but has important implications for infant nutrition, clinical recommendations, and human well-being. Such knowledge will inform maternal decisions about breast-feeding initiation and duration, improve replacement and supplemental formula compositions, influence clinical interventions during early life, and can shape institutional policy (e.g. parental leave). Researchers in the Comparative Lactation Lab create research opportunities for undergraduate, graduate, and post-doctoral trainees, particularly through minority tracks of the PRISE (Program for Research in Science & Engineering) and HGWISE (Harvard Graduate Women in Science and Engineering). The results will be communicated to the general public through ""Mammals Suck... Milk!"" a blog written accessibly for clinical and lay audiences, as well as science outreach lectures in K-12 classrooms, natural history museums, and science centers. <br/><br/>The study will address two key questions in rhesus monkeys (Macaca mulatta): 1) How does early life nutrition and hormonal signaling via mother's milk affect social behavior, particularly social networks, mating, and maternal behavior during transitions from adolescence to adulthood and 2) How are these behavioral effects mediated through the organization of temperament and neurobiology during infancy. Neurobiological (PET and MRI) and behavioral investigations of lactocrine programming, both nutritional and hormonal, are needed in long-lived, socially-complex, singleton-rearing taxa. This project provides an unparalleled and ephemeral opportunity to prospectively assess neurobiological and behavioral outcomes in a targeted cohort of adolescent and adult rhesus monkeys that were intensively studied as infants, including systematic analysis of the milk their mothers produced. Longitudinal integration of early life experiences with neurobiology, behavioral phenotype, and fitness outcomes addresses fundamental aspects of maternal effects and developmental programming and advances an understanding of how selection has shaped maternal investment strategies and consequences for offspring. Results generated from the proposed research will be disseminated to the scholarly and clinical community via open access publication and data will be made searchable, available, and citable through the online Dryad Data Repository.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Harvard University,,United States,Dryad,Katherine Hinde,2015-05-01,2017-04-30,,,2015,475000,USD,"475,000.00",nsf,,1456174,Adolescent and Adult Outcomes of Early Life Lactroncrine Programming of Temperament: Neuroenergetics and Social Behavior,"Who we are- our behavior, physiology, and health throughout our lives- is strongly influenced by our early life. Decades of experimental research in animal taxa and epidemiological studies of humans have demonstrated that nutrition in the womb and behavioral care after birth are instrumental for the developing young. Mother's milk sustains infant growth, development, and behavioral activity, but little is known about the effects of milk on offspring brain and behavior, especially after weaning during adolescence and adulthood. Importantly, mother's milk is food, medicine, and hormonal signal. This project will investigate how mother's milk ingested in infancy influences neurobiology and social behavior in adolescence and adulthood by programming behavior during early life. Longitudinal, interdisciplinary research on how mother's milk shapes offspring, not only addresses key theoretical questions in animal behavior, but has important implications for infant nutrition, clinical recommendations, and human well-being. Such knowledge will inform maternal decisions about breast-feeding initiation and duration, improve replacement and supplemental formula compositions, influence clinical interventions during early life, and can shape institutional policy (e.g. parental leave). Researchers in the Comparative Lactation Lab create research opportunities for undergraduate, graduate, and post-doctoral trainees, particularly through minority tracks of the PRISE (Program for Research in Science & Engineering) and HGWISE (Harvard Graduate Women in Science and Engineering). The results will be communicated to the general public through ""Mammals Suck... Milk!"" a blog written accessibly for clinical and lay audiences, as well as science outreach lectures in K-12 classrooms, natural history museums, and science centers. <br/><br/>The study will address two key questions in rhesus monkeys (Macaca mulatta): 1) How does early life nutrition and hormonal signaling via mother's milk affect social behavior, particularly social networks, mating, and maternal behavior during transitions from adolescence to adulthood and 2) How are these behavioral effects mediated through the organization of temperament and neurobiology during infancy. Neurobiological (PET and MRI) and behavioral investigations of lactocrine programming, both nutritional and hormonal, are needed in long-lived, socially-complex, singleton-rearing taxa. This project provides an unparalleled and ephemeral opportunity to prospectively assess neurobiological and behavioral outcomes in a targeted cohort of adolescent and adult rhesus monkeys that were intensively studied as infants, including systematic analysis of the milk their mothers produced. Longitudinal integration of early life experiences with neurobiology, behavioral phenotype, and fitness outcomes addresses fundamental aspects of maternal effects and developmental programming and advances an understanding of how selection has shaped maternal investment strategies and consequences for offspring. Results generated from the proposed research will be disseminated to the scholarly and clinical community via open access publication and data will be made searchable, available, and citable through the online Dryad Data Repository.",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Smith College,,United States,Dryad,Annaliese Beery,2013-08-15,2017-07-31,,,2013,468134,USD,"468,134.00",nsf,,1257162,RUI: Neurobiology of seasonal sociality in voles,"Why do some species live in large groups while others interact only to reproduce? This project investigates neural sources of variation in mammalian social behavior, including pathways that support motivation to interact with others and social tolerance. Most of what is known about the neurobiology of social attachments comes from research on mothering and monogamy, while little is known about non-reproductive relationships. The goal of this project is to examine where and how the hormone oxytocin acts in the brain to influence social behavior between peers. This is approached with behavioral, pharmacological, and molecular genetic studies of meadow voles. Meadow voles display environmentally induced variation in social behavior, acting aggressive and territorial in summer months, but living in social groups in winter. These experiments will investigate how seasonal changes in neurochemistry, particularly in oxytocin circuitry, underlie changing anxiety, social tolerance, and social attachments. This fills a gap in our understanding of social relationships by adding the study of non-reproductive peer relationships, and contributes important basic information on how oxytocin contributes to both prosocial and antisocial behaviors in different brain regions. These findings will have implications for understanding sociality across social species, particularly in mammals. These studies will be conducted at a women's college, providing training opportunities for undergraduate women, many from under-represented groups. Students will serve in leadership roles and participate in all aspects of this research including presentation and publication of work. Anatomical and genomic data from these studies will be contributed to online repositories (Data Dryad and GenBank), and custom software will be made available through the lab website",,Repository service,,,"Repository service, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Indiana University,,United States,Dryad,Meredith West,2013-09-01,2015-08-31,,,2013,19562,USD,"19,562.00",nsf,,1311342,DISSERTATION RESEARCH: Sociability and reproductive success in brown-headed cowbirds (Molothrus ater),"Within humans it is widely recognized that early differences in personality shape the development of behavior. For instance, extraverts commonly seek out interactions with unfamiliar individuals, while introverts consistently seek out interaction with fewer more familiar individuals. Thus, personality may shape an individual's behavioral development by exposing them to different social experiences from an early age. Recently there has been increasing awareness that like humans, animals also possess personality traits. The proposed research will investigate how variation in a personality trait, sociability, shapes behavioral development in Brown-headed Cowbirds (Molothrus ater). Cowbirds, like many other species, rely on social interaction in order to learn new skills and behaviors. Sociability describes an individual's tendency to seek out interaction with others. More sociable cowbirds will approach and interact with more individuals more often than less sociable cowbirds. Two studies will investigate if: 1) Variation in sociability predicts the development of adult like behavior in juvenile cowbirds, and 2) if early experience with more or less sociable adults shapes the development of juvenile personality traits. A new RFID based video system will be used in both studies to identify individuals and record their social behaviors over long periods of time. This system will allow measurement of the details of sociability and social behavior in a way that was unavailable to researchers before. Statistical time series models can be implemented to uncover how an individual's sociability reflects the development of new behaviors over the first year of life. In the second experiment, statistical time series models will be used to uncover if experience with more sociable adults can predict the emergence of adult-like behavior within a juvenile cowbirds' first year. These results will provide insights into how early personality differences shape the development of behavior by determining how individuals interact and learn from others.<br/><br/>Data will be stored and available at http://datadryad.org/",,Repository service,,,"Repository service, , "
openaire,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,,,United States,Dryad,,2021-08-15,2023-07-31,,,2021,299940,USD,"299,940.00",openaire,,nsf_________::17a7c85201c522655c7d03587eb3adac,EAGER: Dryad BRIDGE: Building Repository Interconnections with Dryad Guidance and Extensions,,,Repository service,,,"Repository service, , "
openaire,UNK,Unknown,National Science Foundation,https://ror.org/021nxhr62,Public,"University of California, Office of the President, Oakland",,United States,Dryad,,2019-09-01,2023-08-31,,,2019,870922,USD,"870,922.00",openaire,,nsf_________::388e306a7051d90f6111e4b1d3133db9,"Enabling the Access, Publishing, and Preservation of Curated Research Data at Dryad",,,Repository service,,,"Repository service, , "
openaire,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,,,United States,arXiv,,2024-01-01,2028-12-31,,,2024,4966530,USD,"4,966,530.00",openaire,,nsf_________::f25589fbd0eda81c8a96791eb78b439f,Frameworks: arXiv as an accessible large-scale open research platform,,,Repository service,,,"Repository service, , "
ioi2022,RD,Direct,Robert Wood Johnson Foundation,https://ror.org/02ymmdj85,Private,Odum Institute at University of North Carolina at Chapel Hill /Dryad,,United States,Dryad,,,,2017,21,2017,"184,450.00",USD,"184,450.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,"Identifying effective, efficient methods for implementing data policies for scholarly journals that incorporate review and verification","This project seeks to identify the most effective and efficient methods for implementing data policies that incorporate review and verification in peer-review journals. The project will involve two components: (1) an examination of existing policies on manuscript review and data sharing/verification issued by journals that have a robust data policy, including the new category of data journals; and (2) a survey, supplemented with interviews, of editors, authors, and peer reviewers to identify specific aspects of the data-review process where opportunities exist for policy enhancements and workflow improvements. The project team will use the results of the study to develop an evidence-based model for implementation of data policies designed to be both efficient and effective in ensuring access to and interpretability and reusability of data underlying published research. The policy-implementation model will include suggestions for the content and presentation of policies; frameworks for developing guidance documentation that facilitates the submission of high-quality datasets; and workflow modifications to support data review and verification within the publication process. The Odum Institute will make public-use datasets, supporting documentation, analysis code, and related materials, openly available on the Open Science Framework's project page, as well as archived and shared within the University of North Carolina Dataverse, to enable other researchers to verify and extend research results.",,Repository service,,,"Repository service, , "
oic_scrape,UNK,Unknown,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,University of Toronto,,Canada,arXiv,"Mahetaji, Kaushar",,,2021,,2021,17500,CAD,"13,746.12",http://www.outil.ost.uqam.ca/CRSH/RechProj.aspx,http://www.outil.ost.uqam.ca/CRSH/Detail.aspx?Cle=206647&Langue=2,sshrc_ca:grants::206647,Open Scholarly Communication in the High Energy Physics Discipline: Developing a Transferable Open Science Model for the Natural Sciences,open science; open access; preprint server arXiv; bibliometric analysis; thematic analysis; high energy physics; research impact; academic reward culture; tenure and promotion policies,Canada Graduate Scholarships Program - Masters Scholarships > Library and Information Science > Information Technologies,Repository service,,,"Repository service, , "
oic_scrape,ADJ,Indirect,The Wellcome Trust,https://ror.org/052csg198,Private,eLife,,United Kingdom,bioRxiv,Dr Damian Pattinson,2022-01-02,2025-01-01,2021,1095 days,2022,2013582,GBP,"2,467,312.19",wellcome.org_360giving-export,,360g::360G-Wellcome-223759_Z_21_Z,Infrastructure for an open platform-publishing ecosystem,"In recent years, eLife has embraced the rise of preprints in the biomedical sciences and adapted its processes to make the review of preprints its central goal. We have developed Sciety, which allows researchers to discover refereed preprints from across the web, to highlight the value of preprint review as an alternative to traditional journal publishing. We aim to create a new publishing model where research is published as a preprint, then reviewed and curated by participating groups.
This proposal outlines the steps required to build out an end-to-end workflow to support this model. Over three years we will develop Sciety to support author submission, peer review management and community curation. Over the first year we will work with a ‘model customer’ to develop the full workflow, then spend two years enhancing and adapting the model for a diverse range of partners, including publishers and funders.
We will work with existing preprint servers such as bioRxiv, open source providers such as Coko Foundation, and journal providers such as PubPub, thereby fitting into the existing ecosystem rather than building a new one. This approach, combined with our existing work to build the community, will ensure the long-term success of the platform.
",Discretionary Award - Open research,Repository service,,,"Repository service, , "
openaire,ADJ,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,Cardiff University,,United Kingdom,arXiv,,2014-03-01,2016-02-29,,,2014,221747,GBP,"370,938.91",openaire,,ukri________::8fd4dc3fb54338ae34251c1fa50bc4f2,What is scientific consensus for policy? Heartlands and hinterlands of physics,"Policy-makers should rely on generating decisions in the light of mainstream scientific opinion - what is often called 'the scientific consensus'. This project is aimed at understanding how this consensus is formed. If we want to understand what is going on when policy-makers gauge the extent of consensus and non-consensus in the scientific and technological community, we need to understand these processes.
Yet science is often controversial. A healthy science needs disagreement and discussion as much as it needs consensus in order to test conclusions to the maximum. The public and policy-makers often encounter scientific disagreement when faced with crucial decisions. Therefore the nature of agreement and disagreement in science needs to be understood.
Science is knowledge based on communal agreement, yet individuals can and do sometimes disagree with the mainstream. Using science's rhetorical power as an element of public discourse, one can create an atmosphere of controversy where there is possibly none (e.g. writing scientific papers that suggest the existence of disagreement where there is none in the scientific mainstream). For example, the tobacco lobby is known for having done this and it could be that the oil industry has helped to create an appearance of disagreement in the matter of the science of climate change.
To increase our understanding of these issues we will look at consensus formation in physics. The project will begin by looking at the place where many physicists initially reveal their work to their fellows: the dominant electronic preprint server known as 'arXiv'. Physicists can upload their draft papers to arXiv where they may be read by the wider community. Currently around 6,000 papers a month are uploaded to arXiv. An ordinary member of the public cannot upload a paper to arXiv because it is technically complex, but also because, nowadays, the submission must be sponsored by an existing professional physicist. However it has not always been like this. At one time anyone who understood the technicalities could upload. The new restrictions have been put in place because too many unorthodox submissions were being made. In sociological language, a border has been established which now defines what has potential to contribute to the consensus on a topic and what does not. If we want to understand the nature of scientific consensus, arXiv is a good place to start.
Physicists admit they read very few of the papers uploaded to arXiv, concentrating on those that have a direct bearing on their research topics. But arXiv has another way of dealing with papers without simply excluding them: it puts them into a category called 'general physics'. We do not know how physicists choose what is interesting and what is not, what they know about the meaning of the general physics category and, therefore, how the notions of 'good' and 'bad' science are created in physicists' minds. We also do not know what the excluded physicists, or redirected physicists, make of what happens to them, something else we will examine. We will look further into the territory of qualified scientists who publish in so called 'fringe journals' and further out still into the world of what are sometimes called 'cranks'. All this fits into and understanding of the creation of consensus and those outside it.
The results of looking at all these boundaries will then be re-conceptualised to understand what this means for the formation of consensus in science that has policy implications. The ultimate aim is to illuminate policy-related discussions of how to identify the boundaries of legitimate science and the consensus that exists within them. The research should then help policymakers and publics interested in scientific affairs to distinguish when a science is or is not controversial. Our deep, careful study of the way these things unfold in arXiv will give us a sound scientific understanding that can be applied to other areas.",,Repository service,,,"Repository service, , "
ioi2022,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Duraspace,,United States,DSpace,,,,2011,,2011,"497,433.00",USD,"497,433.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,DuraSpace,"To develop and deploy a ""Direct-To-Researcher"" cloud-based data platform",,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Harvard University,,United States,Dataverse,None,,,2015,,2015,751941,USD,"751,941.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/6608,sloan:grants::6608,,To facilitate social science research on large-scale datasets by expanding the capabilities of Dataverse repository software
,,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,"University of North Carolina, Chapel Hill",,United States,Dataverse,None,,,2018,,2018,501416,USD,"501,416.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/8519,sloan:grants::8519,,To improve the ability to curate and verify replication datasets within the Dataverse data archiving platform by integrating computational notebooks and software containerization with data curation workflows
,,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Alfred P. Sloan Foundation,https://ror.org/052csg198,Private,Harvard University,,United States,Dataverse,None,,,2018,,2018,499697,USD,"499,697.00",https://sloan.org/fellows-database,https://sloan.org/grant-detail/8520,sloan:grants::8520,,"To improve the ability to curate and verify replication datasets within the Dataverse data archiving platform through a suite of software containerization and metadata tools, and to support the development of a new data curation service at the Harvard Dataverse
",,Repository software,,,"Repository software, , "
ioi2022,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,University of Virginia,,United States,Fedora,,,,2001,,2001,"1,000,000.00",USD,"1,000,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Digital Object Repository Retrieval System - FEDORA,to support a large-scale digital object repository and retrieval system,,Repository software,,,"Repository software, , "
ioi2022,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,LYRASIS,,United States,DSpace,,,,2016,,2016,"31,000.00",USD,"31,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,"Planning for a Potential Merger Between LYRASIS and DuraSpace to support planning for the possible merger of LYRASIS and Fedora Commons, Inc. (DuraSpace)","to support planning for the possible merger of LYRASIS and Fedora Commons, Inc. (DuraSpace)",,Repository software,,,"Repository software, , "
ioi2022,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,University of Virginia,,United States,Fedora,,,,2004,,2004,"1,400,000.00",USD,"1,400,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,Digital Object Repository Retrieval System II,"to support the further development, enhancement, and distribution of a large-scale digital object repository and retrieval system",,Repository software,,,"Repository software, , "
ioi2022,ADOPT_C,Adoption,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,MIT,,United States,DSpace,,,,2002,,2002,"300,000.00",USD,"300,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,,DSpace Federation,to support the implementation of a digital repository system at several research institutions,,Repository software,,,"Repository software, , "
oic_scrape,STRAT,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,"Fedora Commons, Inc.",,United States,DSpace,,2008-10-27,2009-04-27,2008,6 months,2008,50000,USD,"50,000.00",mellon.org,https://https://www.mellon.org/grant-details/7796,mellon:grants::7796,,"to determine the feasibility of launching a new service, ""DuraSpace,"" to serve academic libraries, universities, and other organizations in providing perpetual access to digital content in collaboration with DSpace Foundation, Inc.",Higher Learning,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,Cornell University,,United States,Fedora,,2007-03-16,2010-03-16,2007,36 months,2007,514000,USD,"514,000.00",mellon.org,https://https://www.mellon.org/grant-details/6717,mellon:grants::6717,,"to support further development of Fedora, a large-scale digital object repository and retrieval system",Public Knowledge,Repository software,,,"Repository software, , "
oic_scrape,STRAT,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,LYRASIS,,United States,Fedora,,2016-04-25,2016-09-25,2016,5 months,2016,31000,USD,"31,000.00",mellon.org,https://https://www.mellon.org/grant-details/11434,mellon:grants::11434,,"to support planning for the possible merger of LYRASIS and Fedora Commons, Inc. (DuraSpace)",Public Knowledge,Repository software,,,"Repository software, , "
openaire,USE,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz17,Public,Aelred,,France,Dataverse,,2011-10-01,,,,2011,8999960,EUR,"11,994,246.69",openaire,,anr_________::691e9d9e8e801b5305a7847905ee76a5,Développer de nouvelles variétés de maïs pour une agriculture durable: une approche intégrée de la génomique à la sélection,"""AMAIZING supported the competitiveness of maize breeding in France and met societal demand for sustainability and quality. It developed innovative breakthroughs in germplasm characterization, breeding methods, ecophysiology of adaptation and underlying genetic factors, for the production of high yielding varieties with improved environmental values. One key to success was a strong public/private partnership between 24 key players of maize research and development in France, convening complementary expertise in Genetics, Genomics, Ecophysiology, Agronomy, Bioinformatics and Statistics. Most initial aims were reached at the expected level or beyond.WP2 managed data storage and availability for """"open science"""". A new tool was developed for collecting phenotyping data in the field and ThaliaDB and GNPis databases were improved. Genotypic and phenotypic datasets (field and platforms) were collected, organized and stored in information systems (ThaliaDB, GNPiS, PHIS) and synthesized in a dataverse (https://data.inrae.fr/dataverse/Amaizing). A considerable effort was dedicated to data quality and validation via a FAIR approach, e.g. use of standards and ontologies developed in Phénome.Emphasis and Elixir. BioMercator software now makes it possible to perform visualization of numerous Genome-wide association studies (GWAS) and to place them in the context of genomic information (genes and functions). Training sessions and seminars publicized these tools.WP3 characterized the genomic and epigenomic variation in inbred lines, to provide information on their origin and role in adaptation. It generated de novo whole genome assemblies and annotations for 7 maize lines, and built a pangenome for two of them. A transcriptomic gene atlas was also added and is a highly valuable resource for new projects. Two software tools were developed and used to automatically build high-density linkage maps and detect copy number variation from mapping population data. Methylome variation analysis between maize lines highlighted extensive variation, which could be typed on larger panels. Cold showed limited impact on methylome. 22M SNPs were detected by whole genome sequencing lines of an American/European historical panel (67 lines, 18X coverage), leading to new insights on the routes of introduction, admixture and selective history of European maize. Whole genome sequencing of an association mapping panel (40 lines, 5X coverage) was passed to WP4 for imputation.WP4 provided optimized genetic materials, genotypic data and statistical approaches for GWAS and Genomic Selection (GS). A total of 1500 flint and dent diverse temperate inbred lines were complemented by 1930 new Doubled-Haploid lines recombining different origins (admixture). All lines were evaluated per se and over 1200 hybrids were produced for WP5. All panels were genotyped with array and Genotyping by Sequencing strategies, reaching 1M SNP and 85k structural variants for the dent panel. A new method to estimate SNP frequencies in landraces provided insights into European maize origins and diversity in South-West France. Diversity, population structure and relatedness were analysed for all panels. Impact of population structure on GWAS power and GS was analysed and statistical methods were improved. New GWAS and GS models were built to account for hybrid mating designs and admixture. A mixed linear model software, MM4LMM, was developed to run these efficiently.WP5 analysed maize responses to abiotic stresses and investigated heterosis. Four hybrid panels from WP4 were phenotyped in multi-site field experiments clustered in environmental scenarios (34,600 plots in 58 environments). Experiments in indoor phenotypic platforms allowing detailed measurements in well-controlled scenarios of water deficit, temperature (cold or hot) and nitrogen. Proteomics and metabolomics profiling was conducted in field and indoor experiments. Coupling these data with ecophysiological approaches highlighted traits, proteins or metabolites that are specific of environmental scenarios and allow predicting yield and searching for related polymorphisms. GWAS were performed and genomic prediction equations were calibrated using 1M SNP detected in WP4. Key regions identified were further transferred to WP6. Trait-associated SNPs and prediction equations were transferred to WP8 for testing in breeding programs, and datasets were transferred to WP7 for integrated studies.WP6 confirmed the effect of 15 of the 30 genomic regions selected by WP5 and provided insights into underlying mechanisms. Major resources were established including 100 introgression populations, from which near isogenic lines (NILs) were extracted for 30 genomic regions, as well as 25,000 sequence-indexed insertional mutants and 100 independent transformation events for functional analyses. Major results were obtained using these tools. 5 chromosomic regions were validated for flowering time, and 3 for chilling tolerance (CT). A multi-omics analysis of NILs for 3 CT candidates provided mechanistic insight and additional candidates. Three regions were validated for drought with variable effects assessed in 16 fields across Europe representing 6 climatic scenarios. An integrated multi-omics approach demonstrated the role of a transcription factor in the response to water deficit. Four genomic regions were validated for heterosis of grain yield and components. Linked markers for all validated regions were provided to breeders (see WP8).WP7 provided an integrated view of mechanisms underlying plant adaptation and performance across environmental scenarios, including climate change. Integration of traits collected in multi-site field experiments and in phenotyping platforms showed that most QTLs had conditional effects on yield, in particular those related to responses to high temperature and water deficit. A considerable genetic gain was observed for grain yield in commercial hybrids from 1960 to 2016, in all tested environments. It was essentially linked to plant architecture and phenology, but largely left aside alleles and traits involved in responses to environmental conditions. A method was proposed to predict the effects of these alleles via the combination of phenomics, modelling and genomic prediction of responses to environmental condition. Process-based modelling highlighted how farmers currently exploit the genetic variability of flowering time to cope with temperature and water deficit across Europe. Simulations showed that their strategy may maintain maize yield in spite of climate change.WP8 validated the results of other WPs in elite germplasm and sped up the integration of potential results in industrial projects. It also addressed socio-economic issues which could hinder the success of transferring the results into the industrial world. Major results transferred and used in WP8 have been the GS equations, important loci and markers for drought, cold tolerance and flowering time, the different data produced in the project: genomic sequences, SNPs, structural variation phenotypic data, proteomics and metabolomics, expression data, specific traits extracted form platforms and the different methods developed by the WPs that have been proposed, explained or transferred to the private companies.WP9 organized results dissemination towards the different stakeholders (scientists, seed companies, farmers, broad audience). 57 scientific papers were published and 168 oral presentations were given in congresses. A website (https://amaizing.fr/) was developed and updated regularly. A leaflet was distributed. A synthetic publication targeting a broad audience was written for Perspectives Agricoles. Nine traini""",,Repository software,,,"Repository software, , "
openaire,USE,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz25,Public,"Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR PVBMT",,France,Dataverse,,,,,,,62802,EUR,,openaire,,anr_________::5f42b1e37260246f49dbf14bfb66eb28,Bridge Research through Interoperable Data Governance and Environments,"The current organization of national research into joint units and the resulting significant joint digital production requires, at the inter-institute level, the coordination of data policies, which is fundamental for the implementation of Open Science at the national and international levels. Thus, the purpose of the BRIDGE project is to take advantage of a favourable partnership context between IRD, INRA, CIRAD to demonstrate how, by activating policy, cross-community and technical levers, we can promote the implementation of the FAIR principles. Therefore, the BRIDGE project will bring people with various policy, scientific and technical backgrounds and build a practical roadmap towards a concrete implementation of the FAIR principles in each of the partners’ institutes. To reach that goal, the BRIDGE project will achieve the following objectives: at the policy level, analyze, compare and harmonize the institutional data governance strategies ; and across-communities, develop practical guidelines for both researchers and data managers. To that aim, the partners will assess existing recommendations and guidelines in order to evaluate how they can be adapted and generalized for different communities. We plan to provide feedback to the developers of the existing recommendations on how applicable they are. At the technical level, the goal is to enhance the current data management and sharing tools of the partners, specifically the data repositories, by increasing their level of compliance with the FAIR principles. The institutional repositories of both partners being based on the same tool, the open source Dataverse, it makes it easier to align strategies and roadmaps. We will organize partners’ engagement all along the project for the co-development of the project tools and outputs through a Community of Practice, and ensure its continuation beyond the project’s lifetime. Indeed, this Community of Practice will be led by the actors of the data governance in the partners’ institutes. The methodology and results envisaged by the project are intended to be generalizable and reusable beyond the three partners and their scientific and technical use cases.",,Repository software,,,"Repository software, , "
openaire,ADOPT_L,Adoption,"Fundação para a Ciência e a Tecnologia, I.P.",https://ror.org/00snfqn58,Public,Egas Moniz Cooperativa de Ensino Superior CRL,,Portugal,DSpace,,2016-06-01,2018-12-31,,,2016,115800,EUR,"129,394.92",openaire,,fct_________::d8312fea62ab3c0a83314ccf9cad3bec,Centro de investigação interdisciplinar Egas Moniz,"The CiiEM (Centro de Investigação Interdisciplinar Egas Moniz) is a new research unit incorporating the existing and new laboratories of Egas Moniz Cooperativa de Ensino Superior CRL, in an organic structure that allows for both optimization and goal-directed activity and growth. The unit was proposed to the 2013 evaluation and achieved a result of ""fair"". This reflected mainly the perceived problems of the new proposed organizational model. Egas Moniz immediately initiated a recovery programme which introduced a new board of Directors and implemented a new organizational model in close collaboration with a selected group of highly qualified international advisors. The main changes brough in by the new board of Directors were the following: Activities already performed: a) Creating an organic structure by setting up new bylaws approved by the CiiEM's scientific council and implementing the relevant management boards (http://seconline.egasmoniz.edu.pt/ciiem/index.php/home/ciiem-bylaws); b) Defining a strategic plan for the next 5 years (http://seconline.egasmoniz.edu.pt/ciiem/index.php/home/strategic-plan); c) Defining 4 research lines specified in the strategic plan to focus the development of CiiEM onto domains evaluated as essential by the Cooperative, suitable for interfacing the scientific activity with the social roles of the Cooperative; d) Setting up an internal evaluation scheme both for individual members and for the research lines Activities under development: - Actively promoting growth of the scientific activity in key areas (mostly as a result of the activity of the research lines) by: a) Creating new laboratories for the introduction of new essential technologies; b) Seeking and establishing cooperation and building partnerships with other organisations - both research centres and industry in Portugal and abroad - in order to focus efforts on defining new collaborative projects, including international ones ; c) Organizing a system of scientific data collection, reflecting the activity of CiiEM, for internal and external purposes, in collaboration with FCT (DspaceCRIS Pilot); d) Setting up a programme of seminars, conferences and sectorial meetings for internal and external exchange of scientific experiences and results and discussion of new projects; e) Interfacing with the Egas Moniz PhD programme set up after the last evaluation
O CiiEM (Centro de Investigação Interdisciplinar Egas Moniz) é uma nova unidade de investigação que incorpora os laboratórios da Egas Moniz Cooperativa de Ensino Superior CRL (existentes e novos), numa estrutura orgânica que permite quer a sua optimização, quer a orientação das respectivas actividades para objectivos e para o crescimento. A unidade foi proposta à avaliação de 2013, onde obteve um resultado de ""fair"". Este resultado reflectiu principalmente os problemas do modelo organizacional então proposto. A Egas Moniz iniciou imediatamente um programa de recuperação, introduzindo uma nova Direcção e implementando um novo modelo de organização em estreita colaboração com um grupo seleccionado de consultores internacionais altamente qualificados. As principais alterações implementadas pela nova Direcção foram as seguintes: Actividades já concluidas: a) Criação de uma estrutura orgânica pela introdução de novos estatutos aprovadios pelo Conselho Científico do CiiEM e implementação das estruturas de gestão relevantes ( http://seconline.egasmoniz.edu.pt/ciiem/index.php/home/ciiem-bylaws); b) Definição de um plano estratégico para os próximos 5 anos (http://seconline.egasmoniz.edu.pt/ciiem/index.php/home/strategic-plan); c) Definição de 4 linhas de investigação especificadas no plano estratégico para centrar o desenvolvimento do CiiEM em áreas consideradas pela Cooperativa como essenciais, e adequadas para a ligação da actividade científica com as funções sociais da Cooperativa; d) Criação de um mecanismo de avaliação interna quer para os membros individuais quer para as linhas de investigaçõa. Actividades em desenvolvimento: - Promoção activa do desenvolvimento da actividade científica em áreas chave (principalmente através da actividade das linhas de investigação) através de: a) Criação de novos Laboratórios para a introdução de tecnologias essenciais; b) Procura e estabelecimento de cooperações e criação de parcerias com outras organizações - quer centros de investigação quer indústrias - de modo a focar os esforços em novos projectos em colaboração, incluindo projectos internacionais; c) organização de um sistema de recolha de dados científicos que reflictam a actividade do CiiEM, para fins internos e externos, em colaboração com a FCT (Piloto DspaceCris); d) criação de um programa de seminários, conferências e encontros sectoriais para a partilha interna e externa de resultados e experiências científicas; e) Ligação com o programa Doutoral da Egas Moniz criado após a última avaliação",,Repository software,,,"Repository software, , "
ioi2022,RD,Direct,Gordon and Betty Moore Foundation,https://ror.org/006wxqw41,Private,Duraspace,,United States,DSpace,,,,2012,,2012,"861,000.00",USD,"861,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,GBMF1276.01,Advanced on-line services for scholarly content,"In support of a new DuraSpace service offering called ""DuraCloud,"" a suite of on-line tools and services for the long-term preservation and analysis of research and other scholarly content.",,Repository software,,,"Repository software, , "
ioi2022,RD,Direct,Gordon and Betty Moore Foundation,https://ror.org/006wxqw41,Private,"Fedora Commons, Inc.",,United States,Fedora,,,,2007,,2007,"4,933,000.00",USD,"4,933,000.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,GBMF1276,Open-source software for knowledge sharing,"To provide the technical expertise and community framework needed to develop sustainable open-source software for innovative collaboration and knowledge sharing among scientists, scholars, and educators, while ensuring the integrity and longevity of the results of their work.",,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Gordon and Betty Moore Foundation,https://ror.org/006wxqw41,Private,Internet Archive,,United States,Fedora,,,,2007,24 months,2007,1493795,USD,"1,493,795.00",moore.org,https://www.moore.org/grant-detail?grantId=GBMF1618,moore.org_GBMF1618,Scalable Data Storage and Management for Collaborative Open Access Systems,"The Internet Archive will use this grant to support the integration of the Fedora Commons platform with the scalable open source data storage architecture of the Internet Archive (the PetaBox). Outputs include, enabling new services over one of the world’s largest and most diverse digital libraries and the development of an integrated Petabox management system which will result in the availability to all open access systems an easy to adopt downloadable, pluggable, open source solution for storage hardware with the uniform, interoperable service layer of Fedora Commons.",Science,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,Gordon and Betty Moore Foundation,https://ror.org/006wxqw41,Private,Missouri Botanical Garden Board of Trustees,,United States,Fedora,,,,2007,24 months,2007,1096655,USD,"1,096,655.00",moore.org,https://www.moore.org/grant-detail?grantId=GBMF1617,moore.org_GBMF1617,Integrating Fedora into TROPICOS and the Biodiversity Heritage Library,This grant to the Missouri Botanical Garden (MBG) will support the adoption of the Fedora Commons platform by the Biodiversity Heritage Library (10 of the world’s largest natural history digital libraries) and the TROPICOS (MBG’s institutional repository of botanical data). Outcomes include shared and open access to collective knowledge on biodiversity as well as new opportunities for easy adoption and use within biodiversity information management.,Science,Repository software,,,"Repository software, , "
ioi2022,STRAT,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,LYRASIS,,United States,DSpace,,,,2020,,2020,"242,210.00",USD,"242,210.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,LG-246253-OLS-20,LG-246253-OLS-20,"LYRASIS will lead the creation and piloting of a dynamic, flexible suite of tools to plan and manage sustainability for open source software (OSS) initiatives serving cultural and scientific heritage organizations. The tools will be designed around the 2018 ""It Takes A Village"" framework for assessment and planning created through an IMLS-supported award. OSS supports mission-critical functions that provide public access to content and information. Maintaining digital infrastructures built from OSS requires continuous attention to sustainability; however, initiative sustainability plans rarely exist for OSS programs serving cultural or scientific heritage. Through this community-interactive tool development and piloting, the project will strengthen the ability of libraries, archives, and museums to sustain community-supported OSS programs, which are critical to managing and growing national digital infrastructures and initiatives.",,Repository software,,,"Repository software, , "
ioi2022,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,UNCCH-SILS,,United States,Fedora,,,,2009,,2009,"492,463.00",USD,"492,463.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,LG-06-09-0184-09,LG-06-09-0184-09,"The University of North Carolina (UNC) at Chapel Hill and the DuraSpace organization (formerly DSpace and the Fedora Commons) are partnering on the Policy-Driven Repository Interoperability (PoDRI) project. The principal focus of PoDRI is to investigate the feasibility of interoperability mechanisms between repositories at the policy level. There is a growing trend toward cross-repository integration, driven by the need for scalable, open, and distributed environments, in which content can be leveraged in a variety of storage spaces. The research project focuses on the integration of an object model and a policy-aware distributed data model with Fedora and iRODS as representative open source software for each model. Project partners, including UNC’s Data Intensive Cyber Environments Center comprise the key architects and developers of Fedora and the iRODS data grid middleware as well as the design and development team of the Carolina Digital Repository, UNC Libraries’ institutional repository, which is based on an integrated Fedora/iRODS infrastructure. The findings and validation work of this project will benefit the library, archival, and museum communities through identification of cross-repository patterns for interoperability.",,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"Fedora Commons, Inc.",,United States,Fedora,,2017-10-01,2018-09-30,,,2017,49279,USD,"49,279.00",imls.gov,https://www.imls.gov/grants/awarded/lg-72-18-0204-18,imls:log_number::LG-72-18-0204-18,,"DuraSpace will investigate barriers to upgrading unsupported versions of the Fedora repository platform used by approximately 240 libraries and archives in the United States. Use of unsupported versions puts the stability, security, and functionality of the content and services these institutions support at risk. This project will consult with an advisory board of stakeholders from the Islandora, Samvera, and Fedora communities; conduct an environmental scan of relevant community initiatives; and gather primary research data to inform recommendations for reducing barriers to upgrading. Project outputs will include user stories, an inventory of resources for upgrading, and recommendations for migration paths.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Johns Hopkins University (The Sheridan Libraries- John Hopkins University),,United States,Fedora,,2007-10-01,2008-09-30,,,2007,10000,USD,"10,000.00",imls.gov,https://www.imls.gov/grants/awarded/lg-06-06-0182-06-1,imls:log_number::LG-06-06-0182-06 (a),,"Johns Hopkins University will establish a collaboration of publishers, libraries, and the National Virtual Observatory (NVO) to give astronomers long-term, reliable access to useful data. Incorporating the Web services of the NVO into a digital library framework, this project will provide methods for long-term digital archiving of content that can be used in publishing research in astronomy. The system created by Johns Hopkins and its partners--the University of Washington and the University of Edinburgh--, based on the open-source Fedora digital repository system, will serve as a model for the preservation and use of high-volume data in other fields.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Johns Hopkins University (The Sheridan Libraries- John Hopkins University),,United States,Fedora,,2005-10-01,2006-09-30,,,2005,184512,USD,"184,512.00",imls.gov,https://www.imls.gov/grants/awarded/lg-06-06-0182-06,imls:log_number::LG-06-06-0182-06,,"Johns Hopkins University will establish a collaboration of publishers, libraries, and the National Virtual Observatory (NVO) to give astronomers long-term, reliable access to useful data. Incorporating the Web services of the NVO into a digital library framework, this project will provide methods for long-term digital archiving of content that can be used in publishing research in astronomy. The system created by Johns Hopkins and its partners--the University of Washington and the University of Edinburgh--, based on the open-source Fedora digital repository system, will serve as a model for the preservation and use of high-volume data in other fields.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Chippewa Cree Tribe,,United States,DSpace,,2022-10-01,2023-09-30,,,2022,106548,USD,"106,548.00",imls.gov,https://www.imls.gov/grants/awarded/nae-254948-ols-23,imls:log_number::NAE-254948-OLS-23,,"The Chippewa Cree Tribe of The Rocky Boy Reservation will improve access to the Stone Child College/Rocky Boy Community Library’s resources and promote preservation of the Chippewa Cree culture. Notably, the Rocky Boy’s Indian Reservation is the only reservation in the United States that speaks Cree. The project was informed by strategic planning and community survey responses to improve the library’s services. The grant will support twelve community events, with topics such as typing and writing in Cree, storytelling, native plants of Rocky Boy. Additionally, two one-day workshops with local artists and craftsmen on two of the following topics will be offered: ribbon shirts/ribbon skirts, crockpot meals, painting workshop, dry meat making, or a historical tour of Rocky Boy. Grant funds will support the purchase of archival supplies, periodicals, and subscriptions. The grant will also support Lyrasis DSpaceDirect Hosting Platform renewal to store digital archived items. The project will benefit the community members of the Rocky Boy Indian Reservation.",Native American Library Services: Enhancement Grants,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"University of Maryland, College Park (University of Maryland, School of Information)",,United States,Fedora,,2016-10-01,2017-09-30,,,2016,240139,USD,"240,139.00",imls.gov,https://www.imls.gov/grants/awarded/lg-71-17-0159-17,imls:log_number::LG-71-17-0159-17,,"The Digital Curation Innovation Center at the University of Maryland's iSchool will research, develop, and test software architectures to improve the performance and scalability of the Fedora repository. This project will create a new Fedora implementation without current performance bottlenecks relating to storage size, enabling institutions to manage Fedora repositories with petabyte-scale collections. It will apply the new Fedora 5 application programming interface (API) to a repository software stack called DRAS-TIC. Fedora community partners will be engaged to help develop use cases and performance expectations. The project will produce open source software, tested system configurations, documentation, and best-practice guides.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,Institute of Museum and Library Services,https://ror.org/030prv062,Public,LYRASIS Inc.,,United States,Fedora,,2019-10-01,2020-09-30,,,2019,249859,USD,"249,859.00",imls.gov,https://www.imls.gov/grants/awarded/lg-246264-ols-20,imls:log_number::LG-246264-OLS-20,,"The DuraSpace Community Supported Programs at LYRASIS will develop, pilot, and document migration tools and paths to upgrade the repository software Fedora 3, which is widely used but no longer supported, to Fedora 6. Hundreds of U.S. libraries and archives use Fedora 3 repository software to preserve and deliver scholarly, scientific, and cultural heritage resources and services to patrons, often including unique digital content. Continued community reliance on Fedora 3 puts the stability, security, accessibility, and functionality of these repositories at risk. The community identified migration tools and documentation during a planning project as important resources to support Fedora 3 upgrade and migration processes, which are necessary to sustain repositories that provide critical access to digital collections. Pilot migrations will be conducted and documented for two Fedora 3 repositories; a toolkit then will be shared through training programs to support broad community adoption.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"University of Utah (University of Utah, J. Willard Marriott Library)",,United States,Fedora,,2016-10-01,2017-09-30,,,2016,249999,USD,"249,999.00",imls.gov,https://www.imls.gov/grants/awarded/lg-70-17-0043-17,imls:log_number::LG-70-17-0043-17,,"The J. Willard Marriott Library at the University of Utah and the Boston Public Library will collaborate to improve the ability of libraries to provide access to digitized historical newspapers. Specifically, the project focuses on better ways for libraries to provide article level access to digitized newspapers. This work supports the needs of both the general public and scholars who use this content. The project will produce three outputs: 1) an open data model addressing structural and descriptive metadata features unique to digitized newspapers; (2) a set of modular, open-source plugins for the popular Hydra/Fedora open source digital repository framework for ingesting, describing, discovering, displaying, and disseminating digitized newspaper content; and (3) establishing a community of practitioners - including developers, librarians, content specialists, and managers - dedicated to addressing challenges and collaborating on best practices associated with providing access to digitized newspapers.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,Johns Hopkins University,,United States,Fedora,,2015-10-01,2016-09-30,,,2015,120500,USD,"120,500.00",imls.gov,https://www.imls.gov/grants/awarded/lg-70-16-0076-16,imls:log_number::LG-70-16-0076-16,,"The Sheridan Libraries at Johns Hopkins University will develop a service proxy layer on top of the Fedora 4 software platform that will facilitate the exposure of repository contents as linked data web resources. There is an existing user base of Fedora software for institutional repositories that will grow given the important enhancements and robustness offered by Fedora 4. By providing architecture to deploy repository services as lightweight extensions, institutions that use Fedora 4 for their institutional repository needs would be automatically positioned to extend their platforms for more robust data management. As federal funding agencies respond to the White OSTP memoranda regarding public access to publications and data, it is becoming clear that simply depositing and subsequently downloading data will not be sufficient. The proposed work supports a vision of data management where data are packaged with information graphs that capture and preserve connections to publications and software.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"University of North Carolina at Chapel Hill (University of North Carolina at Chapel Hill, School of Information and Library Science)",,United States,Fedora,,2008-10-01,2009-09-30,,,2008,492463,USD,"492,463.00",imls.gov,https://www.imls.gov/grants/awarded/lg-06-09-0184-09,imls:log_number::LG-06-09-0184-09,,"The University of North Carolina (UNC) at Chapel Hill and the DuraSpace organization (formerly DSpace and the Fedora Commons) are partnering on the Policy-Driven Repository Interoperability (PoDRI) project. The principal focus of PoDRI is to investigate the feasibility of interoperability mechanisms between repositories at the policy level. There is a growing trend toward cross-repository integration, driven by the need for scalable, open, and distributed environments, in which content can be leveraged in a variety of storage spaces. The research project focuses on the integration of an object model and a policy-aware distributed data model with Fedora and iRODS as representative open source software for each model. Project partners, including UNC’s Data Intensive Cyber Environments Center comprise the key architects and developers of Fedora and the iRODS data grid middleware as well as the design and development team of the Carolina Digital Repository, UNC Libraries’ institutional repository, which is based on an integrated Fedora/iRODS infrastructure. The findings and validation work of this project will benefit the library, archival, and museum communities through identification of cross-repository patterns for interoperability.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Institute of Museum and Library Services,https://ror.org/030prv062,Public,University of Rochester,,United States,DSpace,,2002-10-01,2003-09-30,,,2002,103546,USD,"103,546.00",imls.gov,https://www.imls.gov/grants/awarded/lg-02-03-0129-03,imls:log_number::LG-02-03-0129-03,,"This study will research the problem of grey literature (such as theses, conference proceedings and technical standards) and who uses it, and will make recommendations on how to identify it and how to locate and store it. The project will result in new modules for the open source DSpace institutional repository system.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,Institute of Museum and Library Services,https://ror.org/030prv062,Public,"Massachusetts Institute of Technology (Massachusetts Institute of Technology, Libraries)",,United States,DSpace,,2005-10-01,2006-09-30,,,2005,724415,USD,"724,415.00",imls.gov,https://www.imls.gov/grants/awarded/lg-06-06-0062-06,imls:log_number::LG-06-06-0062-06,,"Using designs of architect Frank Gehry as a test bed, MIT will research Computer-Aided Design (CAD) architectural documents and create preservation strategies to stem the loss of this critical cultural material. The researchers will examine the role of digital preservation archives, such as the open-source DSpace digital repository system, to provide solutions to this problem. Results will be shared with other institutions.",National Leadership Grants - Libraries,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Leona M. and Harry B. Helmsley Charitable Trust,https://ror.org/011x6n313,Private,President and Fellows of Harvard College,,United States,Dataverse,,2015-08-24,2019-08-24,2015,48 months,2015,1649629,USD,"1,649,629.00",helmsleytrust.org,https://helmsleytrust.org/grants/president-and-fellows-of-harvard-college-716/,helmsley:grants::716,,Dataverse: Expanding functionality of a preclinical biomedical research data management system with structural biology data,Biomedical Research Infrastructure,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"University of Massachusetts, Amherst",,United States,Fedora,Robert Cox [Project Director],2010-05-01,2013-12-31,2010,44,2010,314787,USD,"314,787.00",https://apps.neh.gov/open/data/,,neh::PW-50695-10,,"Digitizing W.E.B. Du Bois > The University of Massachusetts Amherst requests $349,787 to complete digitization of the papers of W.E.B. Du Bois, one of the most influential African American intellectuals and activists of the twentieth century. Begun in April 2009 with a grant from the Verizon Foundation, this project will provide free and unfettered online access to a large and extraordinarily diverse manuscript collection, one of the most important in the nation for study of twentieth century African American history and the origins of the modern Civil Rights movement. Access to the digital collections will be provided through an online repository hosted by the W.E.B. Du Bois Library at UMass Amherst. Built on Fedora-Repository, the open source software, this archive will be made available at no charge to anyone with a connection to the world wide web, and the content will be also made available to secondary school educators through Verizon's Thinkfinity website.",Humanities Collections and Reference Resources > Preservation and Access,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,"Indiana University, Bloomington",,United States,Fedora,Jon Dunn [Project Director],2015-01-01,2017-12-31,2015,36,2015,399239,USD,"399,239.00",https://apps.neh.gov/open/data/,,neh::PR-50211-15,,HydraDAM2: Extending Fedora 4 and Hydra for Media Preservation > Indiana University Libraries and the WGBH Media Library and Archives propose to extend the HydraDAM digital asset management system to be able to serve as a digital preservation repository for time-based media collections at a wide range of institutions using multiple storage strategies. This new system will be based on the open source Hydra repository application framework and will utilize the emerging Fedora 4.0 digital repository architecture.
,Research and Development > Preservation and Access,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Trustees of Columbia University in the City of New York,,United States,Fedora,Janet Gertz [Project Director],2015-07-01,2017-12-31,2015,30,2015,150000,USD,"150,000.00",https://apps.neh.gov/open/data/,,neh::PW-228212-15,,"Language and Culture Archive of Ashkenazic Jewry: Digitizing the Data > Columbia University proposes a 2-year project to digitize data from the Language and Culture Archive of Ashkenazic Jewry, containing 140,000 pages of notes on the linguistic, cultural and social content of 600 interviews conducted in the 1960-70s with native Yiddish speakers. This will benefit users of Yiddish as a source for historical, literary or anthropological research, and linguists studying languages in contact and the evolution and differentiation of language communities. This project will: digitize the interview answer sheets and interview-data computer printouts, and carry out OCR and mark-up to enable searching and data manipulation; make the digitized content freely available on the Internet; ingest the files into the CUL/IS Fedora-based preservation repository; process correspondence and administrative papers, maps, draft manuscripts, and related materials, and create an EAD finding aid and collection-level MARC record.",Humanities Collections and Reference Resources > Preservation and Access,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Trustees of Tufts College Inc.,,United States,Fedora,Gregory Crane [Project Director],2007-10-01,2011-08-31,2007,47,2007,349939,USD,"349,939.00",https://apps.neh.gov/open/data/,,neh::PK-50022-07,,"Scalable Named Entity Identification in Classical Studies > The Perseus Project and the Collections and Archives of Tufts University propose to develop infrastructure for finding references to particular people and places from classical antiquity in several ancient and modern languages in primary and secondary source collections. We will offer and publish open-source, stand alone services and Fedora repository disseminators for searching, browsing, and visualizing entities within the Tufts Digital Library. Under a creative commons license, we will publish knowledge sources such as: linguistic data to identify forms of the most common 60,000 proper classical names in seven languages; knowledge base of the 30,000 people and places most prominent in texts; indices associating c. 200,000 passages with particular entities and an association network of 500,000 tagged names for named entity identification systems; automatically generated index of classical people and places identified in a 1 billion-word testbed of both scholarly and general cultural documents.",Advancing Knowledge: The IMLS/NEH Digital Partnership > Preservation and Access,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Northeastern University,,United States,Fedora,Julia Flanders [Project Director],2014-03-01,2018-02-28,2014,48,2014,300000,USD,"300,000.00",https://apps.neh.gov/open/data/,,neh::PR-50195-14,,"TAPAS: Building an XML-Aware Repository > This project builds upon previous work to build a data storage back end for TAPAS that includes both a Fedora repository (using the Hydra framework) and an XML database, closely integrated with the TAPAS user interface front end so that long-term repository storage, XML publication options, and enhanced searching are a seamless part of the TAPAS interface. Building this system in Hydra helps ensure that these components can be reused by other Fedora/Hydra systems, and enables TAPAS to take advantage of ongoing development by the Hydra community. In the second half of the grant we will also support a series of ""code-along"" events to assist TAPAS contributors in enhancing their data to make better use of the new visualization tools, and to help faculty to incorporate these collaborative coding activities into their classroom curricula.",Research and Development > Preservation and Access,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,WGBH Educational Foundation,,United States,Fedora,Karen Cariani [Project Director],2012-02-01,2015-01-31,2012,36,2012,250000,USD,"250,000.00",https://apps.neh.gov/open/data/,,neh::PR-50155-12,,"WGBH Open Source Digital Asset Management System for Media Preservation > This project will build and implement an open source digital media preservation and DAM system, focused primarily on the needs of public media stations but relevant and applicable to all cultural institutions with moving image and audio materials. We will face the challenge of handling both large and small media files in several formats. Based on the Hydra technology stack, including the Fedora repository and the Blacklight discovery interface, it will reflect TRAC trusted repository guidelines. We will use and develop open code that will be publicly shared, clearly research and document implementation needs, implement the open source solution as a new model of digital asset management at WGBH, and test the ease of implementation at two partner public media organizations – South Carolina Educational Television Network (SCETV) and Public Radio International (PRI).",Research and Development > Preservation and Access,Repository software,,,"Repository software, , "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,Harvard University,,United States,Dataverse,,2021-09-25,2025-09-24,,,2021,46553,USD,"46,553.00",openaire,,nih_________::e2ae3ee24a130c3fafbb51095f367d42,The Harvard Dataverse repository: A generalist repository integrated with a Data Commons,,,Repository software,,,"Repository software, , "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,Harvard University,,United States,Dataverse,,2021-09-25,2025-09-24,,,2021,402000,USD,"402,000.00",openaire,,nih_________::6a1c463d55843be47ec2960cece7ee3d,The Harvard Dataverse repository: A generalist repository integrated with a Data Commons,,,Repository software,,,"Repository software, , "
openaire,UNK,Unknown,National Institutes of Health,https://ror.org/01cwqze88,Public,,,United States,Dataverse,,2021-09-25,2025-09-24,,,2021,498744,USD,"498,744.00",openaire,,nih_________::cf1400948e57aa08eaaef4b3d403eb29,The Harvard Dataverse repository: A generalist repository integrated with a Data Commons,,,Repository software,,,"Repository software, , "
ioi2022,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Harvard University,,United States,Dataverse,,,,2012,,2012,"463,263.00",USD,"463,263.00",Foundation data as reported in IOI report,https://zenodo.org/badge/DOI/10.5281/zenodo.7259472.svg,1247602,BIGDATA: Mid-Scale: ESCE: DCM: Collaborative Research: DataBridge - A Sociometric System for Long-Tail Science Data Collections,"There are currently thousands of scientists creating millions of data sets describing an increasingly diverse matrix of social and physical phenomena. This rapid increase in both amount and diversity of data implies a corresponding increase in the potential of data to empower important new collaborative research initiatives. However, the sheer volume and diversity of data presents a new set of challenges in locating all of the data relevant to a particular line of research. Taking full advantage of the unique data managed by the ""long-tail of science"" requires new tools specifically created to assist scientists in their search for relevant data sets. DataBridge is an e-science collaboration environment tool designed specifically for the exploration of a rich set of sociometric tools and the corresponding space of relevance algorithms, and their adaptation to define semantic bridges that link large numbers of diverse datasets into a sociometric network. Data from several large NSF funded projects will be analyzed to develop relevance-based data discovery methods. Sociometric network analysis (SNA) algorithms will be used to explore the space of relevancy (different ways data can be related to each other) by metadata and ontology, by pattern analysis and feature extraction, and via human connections. By linking data, human interactions, and usage methods and practices, rich models of social networks inter-connecting massive long tail science data can be created that enhance scientific collaboration and discovery. DataBridge supports advances in Science and Engineering by directly enabling and improving discovery of relevant scientific data across large, distributed and diverse collections. The system will also provide an easy means of publishing data to the DataBridge and incentivize data producers to do so by enabling collaboration and citation. The design will be domain-agnostic and highly extensible and adaptive, supporting inclusion of new relevance algorithms and indexing techniques. DataBridge will be distributed under an open source license enabling wider use and crowd-sourced improvements of the technology. The concepts developed in the project - semantically linking data through sociometric network analysis - will have an impact on non-scientific data collections and will effectively improve access and discovery of information over the web.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Utah,,United States,Dataverse,Ryan Stutsman,2018-05-01,2024-04-30,,,2018,558000,USD,"558,000.00",nsf,,1750558,CAREER: Safe and Efficient Extensions for Low-Latency Multitenant Storage,"Businesses are moving data and applications into the cloud, meaning that many applications and data are consolidated efficiently in one place on fewer servers. Cloud storage services must keep the data of thousands of customers separated while also allowing customers to operate on it efficiently. Safely intermixing customer-provided operations over data is problematic. Historically, processor hardware isolates programs, but increasing data access rates make that costly. This project develops a new approach to storage that allows safe operation on data without hardware protection using recent advances in programming languages.<br/><br/>The approach combats data movement between disaggregated storage and compute nodes by having untrusted tenant extensions pushed to Sandstorm, a new cloud storage system. Sandstorm's insight is that storage extensions can use language-level isolation to eliminate hardware isolation overheads that cannot be avoided today: not with virtual machines, containers, nor serverless Lambdas. Sandstorm also eliminates copying data for safety, so extensions benefit from low-level hardware functionality like zero-copy network transmission. The project will develop multitenant benchmarks, low-cost performance-isolated concurrency mechanisms for multicores, techniques to minimize data movement within servers, storage extensions that demonstrate the benefits, and distributed extensions over clusters.<br/><br/>As power limits data center scale, minimizing data movement out of storage becomes crucial. Sandstorm enables any cloud developer to accelerate data-intensive applications like real-time social network and natural graph analysis and fine-grained coordination of hundreds of thousands of autonomous vehicles. All artifacts will be developed openly under a permissive MIT license for academic and industrial use. The project includes development of a new education platform for teaching students about distributed systems and cloud computing at the graduate, undergraduate, and high school levels with a set of serverless computing labs targeted toward University of Utah students and summer camp attendees. <br/><br/>All data, code, experiments, and benchmarks will be open and made publicly available through http://github.com/utah-scs/ and at http://utah.systems/ and retained for a minimum of three years beyond the project award period. All data, code, benchmarks, and experiments associated with all published results will also be hosted at http://dataverse.harvard.edu/dataverse/utah-scs as part of the Harvard Dataverse for long-term retention.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of California-Davis,,United States,Dataverse,Robert Feenstra,2017-03-15,2020-08-31,,,2017,200000,USD,"200,000.00",nsf,,1724649,Online Prices for Computing Standards of Living Across Countries (OPSLAC),"Comparison of economic progress across countries requires that calculation across countries of real gross domestic product (GDP) in a common currency, i.e. U.S. dollars. The calculation of real GDP per capita, which is made by the World Bank, is much the same as the calculation needed to obtain an extreme poverty line of $1.90 per day: both calculations must convert spending in a local currency into spending in U.S. dollars. Nominal exchange rates cannot be used for this purpose because they do not take into account the price levels existing in each country. In particular, converting the spending in developing countries into U.S. dollars with nominal exchange rates makes poor counties appear even poorer and rich countries even richer. Instead, it is essential to correct for the lower prices found in poor countries as compared to rich countries.
This project studies the feasibility of using ""Big Data"" methods and online prices to convert spending across countries into a common currency (U.S. dollars), and to establish extreme poverty lines in a common currency (e.g. $1.90 per day). The source of internet price data is the Billion Prices Project (BPP), an academic initiative associated with Alberto Cavallo, one of the principal investigators. The BPP has access to global price information at a very fine level of detail, as is essential in order to compare price for the same goods (e.g. Arabica coffee beans) across countries. These online prices have the potential to improve both the frequency and accuracy of price observations in comparison to traditional price data collection methods, For example, the World Bank currently engages in a labor-intensive collection of prices across countries in what is called the International Comparisons Project (ICP). Because it involves actual visits to stores in so many countries, the ICP can collect prices only at infrequent intervals (the most recent years were 2005 and 2011, with another collection planned for 2017). Furthermore, traditional data collection methods require the cooperation of local statistical agencies and their adherence to strict quality and methodological standards that are often impossible to control. The results will be valuable for the World Bank and other international agencies engaged in measuring real GDP and extreme poverty; for policy-makers that rely on accuracy of these measurements to design and implement solutions; for the work of academics engaged in the Penn World Tables and related international comparison databases; and for scholars from Economics, Political Science, and other disciplines who rely on the measurement of real GDP in various countries.
The main goals of this project are to: a) utilize ""Big Data"" internet sources from the Billion Prices Project to obtain a database of average online prices for comparable products across countries that is independent of the methods used to collect prices by the World Bank; b) to use this online price information to construct measures of the standard of living across countries that can be compared to those from the World Bank, but which will potentially differ due to the new sources of price data; and c) do this at a monthly frequency, rather than once every 6 years, to more accurately track and pinpoint changes in prices and living standards. Large-scale micro-price data from various sources (government surveys, scanner datasets, or web-scraped online sources) have become available for researchers in recent years, but they are not yet suited for comparing prices across countries because prices are not collected according to the same classification or identification system and use differing price collection methods can invalidate international comparisons. The approach will be to access the large-scale, multi-country dataset of prices available at the BPP, build a standardized method for matching products across countries, and develop an appropriate methodology to scale up from individual product prices to an overall consumer price comparison. The project will focus on key practical and methodological issues and lay the groundwork for the use of online price data in research applications that make cost-of-living comparisons across countries. The research will be published in academic papers and the researchers will also publish a monthly database of average price levels in various countries computed during the duration of the project. The investigators will share this database publicly with other researchers via data depositories such as the Harvard/MIT Dataverse. The website of the Penn World Table (www.ggdc.net/pwt) will also provide a platform for disseminating the results from integrating online price information with other macroeconomic data series.
This award was made as part of Round 4 of the Digging Into Data Challenge, an international funding opportunity designed to foster research collaboration across countries and to encourage innovative approaches to analyzing large data sets in the social sciences and humanities. The U.S based researchers will collaborate with scholars in Canada and the Netherlands to achieve the goals of this project.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of New Mexico,,United States,DSpace,William Michener,2014-10-01,2020-03-31,,,2014,15000000,USD,"15,000,000.00",nsf,,1430508,DataONE (Data Observation Network for Earth),"DataONE will create new cyberinfrastructure (CI) that will resolve many of the key challenges that hinder the realization of more global, open, and reproducible science. We will do so through four interrelated CI activities that are supported by the DataONE team of developers and the CI Working Group. <br/>First, we will significantly expand the volume and diversity of data available to researchers through the DataONE Federation of repositories (i.e., Member Nodes) for large-scale scientific innovation and discovery. DataONE will create lightweight and easily deployed ""Slender Node"" software and develop DataONE compatibility for common repository software systems (e.g. DSpace and others) that are already deployed in hundreds of high-value repositories worldwide. <br/>Second, we will incorporate innovative and high-value features into the DataONE CI. These new features include: 1) measurement search to leverage semantic technologies and enable highly precise data discovery and recall of data needed by researchers; 2) tracking the data through creation, all transformations, and analyses (provenance) to enable more reproducible science by storing and indexing provenance trace information that can be used to both reproduce scientific data processing and analysis steps and to discover specific data sources by examining the documented workflows; and 3) data extraction, sub-setting and processing services to enable researchers at any location to more easily participate in ?big data? initiatives (e.g. working with data from large environmental observatories and participating in broad-scale synthesis and modeling endeavors). These three new sets of features will dramatically improve data discovery; further support reproducible and open science; and enable scientists from any institution, independent of networking capacity, to extract subsets of large data sets held in DataONE-affiliated repositories for processing and interpretation. <br/>Third, we will maintain and improve core CI software and services (e.g., Coordinating and Member Node software stacks and key components of the Investigator Toolkit) so that the user experience continues to improve, new services can be easily added over time, and the CI can be readily upgraded as operating system and other supporting software systems continue to evolve. <br/>Fourth, we will increase the number of Member Nodes (size of the Federation) while maintaining cybersecurity and trust. Both of these activities respond to the need for DataONE network continuity and reliability that are critical to maintaining community trust and enabling researchers to achieve their science objectives. <br/>Four working groups that are each comprised of a small number of experts from computer and information sciences, domain sciences, and cyber-enabled learning will guide and contribute to DataONE CI development and usability, sustainability, and education and outreach. The CI Working Group will coordinate core CI research and development, including the addition of new services such as provenance tracking and semantically enabled measurement search. The Usability and Assessment Working Group will help DataONE understand community needs and expectations, and constantly improve the CI via feedback from usability analysis. The Community Engagement and Outreach Working Group will ensure that community needs are met and that education activities and materials achieve optimal impact. The Sustainability and Governance Working Group will empower the community to drive the organization?s governance structure and sustainability strategies, ensuring that DataONE can sustain services and evolve to meet the needs of researchers, libraries, sponsors, and other stakeholders for decades to come.<br/>In addition to developing robust and powerful infrastructure, DataONE aims to change the scientific culture by promoting good data stewardship practices. Our specific goals are to: 1) build a community of stakeholders through active engagement with data repositories and the broad community of scientists; and 2) educate scientists about good data life cycle practices through effective education, outreach and training activities and experiences. Community engagement in the biweekly Member Node Forum and the annual meeting of the DataONE Users Group will support expansion of the data content and services provided to and needed by the research community. A new DataONE webinar series and education resources (e.g., best practices and software tools, learning modules) will enable researchers to better steward their data and take advantage of the myriad services and tools available through DataONE. The DataONE Summer Internship Program will actively involve students in CI development and related DataONE activities such as creating and providing web-based educational resources.<br/>",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Harvard University,,United States,Dataverse,Stephen Ansolabehere,2016-05-15,2018-10-31,,,2016,630407,USD,"630,407.00",nsf,,1559125,2016 Cooperative Congressional Election Study,"General Summary<br/><br/>The 2016 Cooperative Congressional Study (CCES) is a collaboration of over 50 different university research teams throughout the United States. Collectively this group designs and fields a large sample survey of at least 50,000 American adults. The survey measures demographics, political opinions and attitudes, and electoral behavior, especially in the congressional elections, but also in the Presidential election and state elections. The very large sample size allows researchers to have sufficient data to study state electorates as well as the entire nation. The survey is used to study who votes and why, and what explains the choices that voters make. The CCES, which started in 2006, makes available at very low cost a survey platform that is open to all. Since its inception, the project has involved more than 100 different research teams and hundreds of faculty and student researchers, and it has conducted interviews with over 250,000 American adults. The survey helps to create and sustain a network of researchers interested in state and national elections, survey design, and public opinion. <br/><br/>Technical Summary<br/><br/>The 2016 Cooperative Congressional Election Survey is developed by a consortium of research teams. Each research team that wishes to be involved in the project purchases a 1,000-person sample survey from the same firm. Each individual team determines half of the questions on its survey. The other half of the content (Common Content) is created by a design committee, drawn from the participating teams. Common Content consists of questions that every team would like to measure or questions that are of broad interest and require a very large sample. The project, thus, fields as many surveys as there are teams and also produces a single large sample survey that consists of the Common Content. The Common Content is designed by a committee in consultation with all teams involved in the survey. The survey will be fielded over the Internet, with samples constructed to be nationally representative. Each team will receive the data from its own 1,000-person survey and a dataset consisting of the 50,000+ observations from the Common Content survey. Survey data are validated using voter validation and through comparisons of state level election results to the survey results from the subsamples for each state. The data produced by this project will be a 2016 Common Content dataset, along with accompanying contextual data, as well as separate Team Content datasets and will be available on the CCES Dataverse website.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Pittsburgh,,United States,Dataverse,Anibal Perez-Linan,2013-06-15,2014-05-31,,,2013,19174,USD,"19,174.00",nsf,,1263092,Doctoral Dissertation Research in Political Science: The Delegation of Bureaucratic Policymaking Authority in Latin America,"How do politicians in Latin America achieve successful policy outcomes with oftentimes bloated and inefficient bureaucracies? Why do some policies, like Brazil's conditional cash-transfer program Bolsa Familia, achieve success while similar programs in the same places falter? Political Science has rigorously studied the ways in which laws are made, but has focused far less on how they are carried out, especially in the developing world. This is a salient topic inside and outside of academia. As recently democratized countries overcome political and economic instability, policymakers and citizens alike are increasingly concerned with the quality of public policy. Constructing effective policy is impossible, however, without first understanding the gap between how policy is supposedly implemented, and how it is actually implemented. This project seeks to address this lacuna through use of a novel theory, original data on presidential delegation and administrative capacity, and an in-depth examination of policy success in various Latin American countries.<br/><br/>Specifically, the project examines policy delegation decisions and policy success across 18 Latin American democracies to understand how governments increase the odds of success for their favored policies. It argues that politicians in low capacity environments often employ ""bureaucratic circumvention"" for politically important legislation, bypassing existing government agencies in favor of creating new agencies, delegating policies to the military, or outsourcing. These circumventing agents possess higher capacity or can be more easily managed, and thus increase the chances of successful policy implementation. The project can be divided into three parts: 1) development of a formal model of bureaucratic circumvention applicable to a wide range of countries; 2) empirical tests of the determinants of circumvention with an original database of over 50,000 executive decrees from Latin America; and 3) controlled comparisons of twelve policies in Brazil, Venezuela, and Ecuador to test the effect of delegation strategy on policy success.<br/><br/>The results should offer evidence as to how politicians can improve the provision of public services across political systems, even when faced with poorly performing bureaucracies. Beyond the theoretical and analytical contributions of this research, two practical elements stand out: 1) the size and detail of the decree database, and 2) the valuable research experience gained by four undergraduate assistants. The database--which will include over 50,000 Latin American executive decrees, including myriad characteristics of each policy--will be an instrumental resource for other scholars of comparative politics, public administration, and public policy. These data will be publicly available upon completion of the project via the Dataverse Network Project. Additionally, the project offers four undergraduate research assistants the opportunity to gain experience in collecting data, reading a codebook and coding those data, and then systematizing and interpreting the aggregated data. In sum, this project seeks to make theoretical and empirical contributions to the understanding of comparative executive and bureaucratic politics, while offering learning opportunities for undergraduate students and providing valuable data for other scholars.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Harvard University,,United States,Dataverse,Salil Vadhan,2012-10-01,2018-03-31,,,2012,6048707,USD,"6,048,707.00",nsf,,1237235,TWC: Frontier: Privacy Tools for Sharing Research Data,"Information technology, advances in statistical computing, and the deluge of data available through the Internet are transforming computational social science. However, a major challenge is maintaining the privacy of human subjects. This project is a broad, multidisciplinary effort to help enable the collection, analysis, and sharing of sensitive data while providing privacy for individual subjects. Bringing together computer science, social science, statistics, and law, the investigators seek to refine and develop definitions and measures of privacy and data utility, and design an array of technological, legal, and policy tools for dealing with sensitive data. In addition to contributing to research infrastructure around the world, the ideas developed in this project will benefit society more broadly as it grapples with data privacy issues in many other domains, including public health and electronic commerce.<br/> <br/>This project will define and measure privacy in both mathematical and legal terms, and explore alternate definitions of privacy that may be more general or more practical. The project will study variants of differential privacy and develop new theoretical results for use in contexts where it is currently inappropriate or impractical. The research will provide a better understanding of the practical performance and usability of a variety of algorithms for analyzing and sharing privacy-sensitive data. The project will develop secure implementations of these algorithms and legal instruments, which will be made publicly available and used to enable wider access to privacy-sensitive data sets at the Harvard Institute for Quantitative Social Science's Dataverse Network.",,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Harvard University,,United States,Dataverse,Margo Seltzer,2015-01-01,2017-12-31,,,2015,300000,USD,"300,000.00",nsf,,1448123,"EAGER: Citation++: Data Citation, Provenance, and Documentation","Most of the advances in science in the last 400 years come not merely from researchers working by themselves, but rather from a community of scholars cooperating and competing in pursuit of shared goals. Critical components of this community are built from scholarly citation, which turn isolated works into a network of scholarship that can be navigated and mined. For centuries, the outcome of such scholarly endeavors were written publications. With the coming of the digital age, new forms of scholarly output, such as data collections and digital publications have become commonplace. Unfortunately, the practices of citation and attribution that have been the mainstay of written publications are insufficient for this new digital world. A citation for digital data needs to be more descriptive than a reference to the location of the item; it needs to describe what the data is, where it came from, and how it was produced. This research will yield new techniques, tools and demonstrations of an extended citation service that uses data provenance, a formal record of how an object came to be in its current form. This extended citation service will facilitate activities such as research reproduction and attribution.<br/><br/>The provenance-enabled data citation system developed in this work will both be embedded in an existing data platform (specifically, Dataverse) as well as functioning as a standalone service. The system addresses the following set of specific data citation challenges: It directly includes executable transformations for a limited, but important set of tools: R and SQL. For other tools, it provides a standardized documentation capability to describe transformations. The system is sufficiently flexible to serve either as part of a publication workflow, where data is part of a more conventional publication, or in support of a standalone publication. It also provides data summaries.",,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,National Science Foundation,https://ror.org/021nxhr62,Public,Duke University,,United States,Fedora,Douglas Boyer,2017-09-01,2021-08-31,,,2017,1410460,USD,"1,410,460.00",nsf,,1661386,ABI Development: Collaborative Research: The first open access digital archive for high fidelity 3D data on morphological phenomes,"People and societies thrive best when they understand how the social and physical dynamics of their environment work, allowing them to respond appropriately. Natural scientists have built our understanding of the physical world. The scientific understanding they built has contributed to the development of technologies and practices that benefit human economies. For example, genetic sequencing of DNA enables deeper understanding of biological organisms; the consequences for human health, food production, understanding of evolutionary adaptation, etc. have been revolutionary and are still unfolding. The DNA sequence is the blueprint for an organism's anatomical structure (morphology) and function, but images capturing morphology are now much less prevalent than genetic data. Museums and researchers have been creating 3D digital images of natural history collections, and there are extensive 3D image data sets for some model organisms, but these data are mostly in closed collections, and generally unavailable or very difficult to access. This project aims to provide infrastructure to increase the accessibility of anatomical information, with a focus on 3D images. The resource will create the first open access, web-enabled image archive accepting and serving high-resolution, 3D scans of all organisms, called MorphoSource. Standardized descriptive tags will allow scientists to use this database to easily combine genetic and anatomical datasets for the first time, supporting the formulation of novel research questions. MorphoSource will link to other databases (such as iDigBio [www.idigbio.org]) that aggregate information on museum specimens from around the world. Having a shared common resource will change the culture among researchers and museums, making collaborations between physically distant experts more feasible, but it will also open the linked research collections of museums to anyone with Internet access anywhere in the world. Large data sets are prerequisites for many statistical and machine learning methods, so the resource will enable innovations in computational image analysis methods, fostering new types of collaborations that advance field-wide scientific understanding. The resource will track data use, enhancing reproducibility and also providing an objective metric of the value of individual data elements. Open access to the data linked through MorphoSource will enable anyone with Internet access to see the detailed anatomical evidence for theories like evolution. Pilot work has shown that teachers and students eagerly consume this newly available information, with numbers already in the thousands. Positive results of this access include (1) providing a more intuitive type of raw data (compared to DNA sequence) for showing the public why some conclusions about evolutionary relationships were reached, (2) providing an 'interest metric' for the value of natural history museums and the collections they hold, (3) increasing the community of people (including citizen scientists) who have access to the data required to make important discoveries by studying biological variation. <br/><br/>The specific plan for creating the repository for 3D data on all organisms is as follows. The primary goal is to restructure and improve a proof of concept database called MorphoSource. The restructuring will allow MorphoSource to meet the needs of a growing community of researchers and educators through massive upscaling, and to implement a novel approach for economically preserving data for the long term. To accomplish this, the MorphoSource server will be rebuilt to use the Fedora digital asset management architecture, which has been developed by library scientists to serve emerging needs related to the archiving and sharing of digital data. As part of this architecture upgrade, the data hosted on MorphoSource will be given an additional layer of protection through managing asynchronous copies in DuraCloud, a digital data preservation platform that leverages Amazon cloud. This restructuring will allow the MorphoSource server architecture to be integrated with the Duke University Libraries repository infrastructure. MorphoSource will also be able to invite institutional communities to be consortium partners in support of data storage and to enact data preservation techniques that guarantee integrity and readability for the foreseeable future. Additional tools will (1) allow for rapid, automated ingestion of dozens to hundreds of datasets at once, (2) link MorphoSource with major biodiversity archives, and (3) provide in-browser visualization of 3D series of image slices, such as those generated by CT and MRI scanners. The plan includes ingesting thousands of high quality legacy CT datasets from published studies, enabling their reuse, increasing the repeatability of studies. The project leaders plan to directly work with and design tools for K-12 educators and students to help them benefit from this resource. These datasets and educational tools will be available to researchers and the public through the updated MorphoSource website, available at www.morphosource.org.",,Repository software,,,"Repository software, , "
oic_scrape,ADOPT_L,Adoption,National Science Foundation,https://ror.org/021nxhr62,Public,Pennsylvania State Univ University Park,,United States,Fedora,Timothy Ryan,2017-09-01,2021-08-31,,,2017,505997,USD,"505,997.00",nsf,,1661132,ABI Development: Collaborative Research: The first open access digital archive for high fidelity 3D data on morphological phenomes,"People and societies thrive best when they understand how the social and physical dynamics of their environment work, allowing them to respond appropriately. Natural scientists have built our understanding of the physical world. The scientific understanding they built has contributed to the development of technologies and practices that benefit human economies. For example, genetic sequencing of DNA enables deeper understanding of biological organisms; the consequences for human health, food production, understanding of evolutionary adaptation, etc. have been revolutionary and are still unfolding. The DNA sequence is the blueprint for an organism's anatomical structure (morphology) and function, but images capturing morphology are now much less prevalent than genetic data. Museums and researchers have been creating 3D digital images of natural history collections, and there are extensive 3D image data sets for some model organisms, but these data are mostly in closed collections, and generally unavailable or very difficult to access. This project aims to provide infrastructure to increase the accessibility of anatomical information, with a focus on 3D images. The resource will create the first open access, web-enabled image archive accepting and serving high-resolution, 3D scans of all organisms, called MorphoSource. Standardized descriptive tags will allow scientists to use this database to easily combine genetic and anatomical datasets for the first time, supporting the formulation of novel research questions. MorphoSource will link to other databases (such as iDigBio [www.idigbio.org]) that aggregate information on museum specimens from around the world. Having a shared common resource will change the culture among researchers and museums, making collaborations between physically distant experts more feasible, but it will also open the linked research collections of museums to anyone with Internet access anywhere in the world. Large data sets are prerequisites for many statistical and machine learning methods, so the resource will enable innovations in computational image analysis methods, fostering new types of collaborations that advance field-wide scientific understanding. The resource will track data use, enhancing reproducibility and also providing an objective metric of the value of individual data elements. Open access to the data linked through MorphoSource will enable anyone with Internet access to see the detailed anatomical evidence for theories like evolution. Pilot work has shown that teachers and students eagerly consume this newly available information, with numbers already in the thousands. Positive results of this access include (1) providing a more intuitive type of raw data (compared to DNA sequence) for showing the public why some conclusions about evolutionary relationships were reached, (2) providing an 'interest metric' for the value of natural history museums and the collections they hold, (3) increasing the community of people (including citizen scientists) who have access to the data required to make important discoveries by studying biological variation. <br/><br/>The specific plan for creating the repository for 3D data on all organisms is as follows. The primary goal is to restructure and improve a proof of concept database called MorphoSource. The restructuring will allow MorphoSource to meet the needs of a growing community of researchers and educators through massive upscaling, and to implement a novel approach for economically preserving data for the long term. To accomplish this, the MorphoSource server will be rebuilt to use the Fedora digital asset management architecture, which has been developed by library scientists to serve emerging needs related to the archiving and sharing of digital data. As part of this architecture upgrade, the data hosted on MorphoSource will be given an additional layer of protection through managing asynchronous copies in DuraCloud, a digital data preservation platform that leverages Amazon cloud. This restructuring will allow the MorphoSource server architecture to be integrated with the Duke University Libraries repository infrastructure. MorphoSource will also be able to invite institutional communities to be consortium partners in support of data storage and to enact data preservation techniques that guarantee integrity and readability for the foreseeable future. Additional tools will (1) allow for rapid, automated ingestion of dozens to hundreds of datasets at once, (2) link MorphoSource with major biodiversity archives, and (3) provide in-browser visualization of 3D series of image slices, such as those generated by CT and MRI scanners. The plan includes ingesting thousands of high quality legacy CT datasets from published studies, enabling their reuse, increasing the repeatability of studies. The project leaders plan to directly work with and design tools for K-12 educators and students to help them benefit from this resource. These datasets and educational tools will be available to researchers and the public through the updated MorphoSource website, available at www.morphosource.org.",,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Trustees of Boston University,,United States,Dataverse,Mayank Varia,2017-09-01,2020-08-31,,,2017,1002988,USD,"1,002,988.00",nsf,,1739000,CICI: RSARC: Trustworthy Computing over Protected Datasets,"Scientists are often stymied in their research due to the inaccessibility of relevant data. Additionally, many data owners silo data away from powerful, economical cloud computing resources due to privacy and confidentiality concerns. This project enables data scientists to compute statistics over protected datasets while simultaneously empowering the owners of the underlying datasets to maintain control over how their data is used in computations and viewed by other people. The work also brings a cryptographically secure computing engine to one of the largest collections of small to medium sized research data in the world, running on a federated datacenter operated by multiple non-trusting vendors. In doing so, this project enhances the flow of information sharing to promote transparency and accountability for data sharing and processing decisions while simultaneously reducing tenants' need to trust the cloud's behavior thanks to cryptographic protections that promote confidentiality and integrity. The project enables scientific research computing on workflows involving collaborative experiments or replication and extension of existing results when the underlying data are encumbered by privacy concerns.<br/><br/>To accomplish this goal and enhance the economic potential of the cloud, the researchers and engineers on this project integrate and enhance three technologies they have previously developed. First, the Dataverse data management infrastructure houses, curates, and indexes social, physical, and life science data. Second, the Massachusetts Open Cloud (MOC) is a computing environment designed from the ground up to promote user control and flexibility over trust decisions. Third, Conclave compiles legacy code into a cryptographically secure multi-party computation program that can be executed on top of existing data processing frameworks like Hadoop and Spark. This project develops and open-sources the necessary cyberinfrastructure to integrate these technologies and provide a combined ""secure computing element"" into which data and analytics may be inserted and their resulting answers fed back. This secure computing element incorporates several designs: (i) policy-agnostic programming to ensure that legacy code may be accepted, (ii) the MOC's isolation mechanism to ensure that data owners may choose exactly which environment to entrust with their data, (iii) Conclave to hide the source data from everyone other the intended recipient (even the cloud itself), a policy engine to ensure that the data owner consents to the requested analytic, (iv) Dataverse's data classification engine to manage access control over source and derived data, and (v) a new auditing and billing mechanism to promote transparency, punish those who exceed their privileges, and provide a sustainable economic model for growth.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Massachusetts Amherst,,United States,Dataverse,Stella Offner,2015-08-15,2019-07-31,,,2015,299901,USD,"299,901.00",nsf,,1510021,Modelling the Impact of Stellar Feedback on Astrochemistry in Molecular Clouds,"Stars form within regions of cold, dense molecular gas. Many outstanding problems in star formation, including the origin of star masses and the rate of star formation, rely on first, accurately determining how much molecular gas there is and, second, how energetic that gas is. However, there is no single perfect tracer for all gas densities and temperatures. The most abundant molecule within molecular clouds, molecular hydrogen (H2), is virtually invisible. Consequently, obtaining fundamental information requires understanding the relation between H2 and the emission of other less abundant species, which are all complex functions of the local environment. This research will provide a basis for understanding chemical distributions in different star-forming environments and will focus on the relationship between H2 and easily observable molecules, such as carbon monoxide (CO) and hydrogen cyanide (HCN).<br/><br/>The goal of this research project is to investigate the evolution of chemical abundances and line emission in star-forming molecular clouds as a function of star formation activity. The investigator will perform numerical simulations of turbulent, star-forming clouds that include magneto-hydrodynamics, radiative transfer, gravity and feedback from stars. This project will use full chemical networks coupled with multi-physics molecular cloud simulations to study the relationship between observations and underlying physical quantities. The investigator will quantitatively explore three fundamental questions: How does the relation between atomic carbon, CO, and HCN emission and H2 density evolve as a function of star formation activity? How well do tracers, such as CO and HCN, probe the gas energetics and correlate with total star formation? What is the impact of kinematic feedback due to proto-stellar outflows on astrochemistry? <br/><br/>This work has implications for estimating the total molecular gas mass, star formation efficiency, and the correspondence between molecular cloud properties (temperature, mass, velocity dispersion) and the star formation rate. They plan to archive and share the abundance and emission maps with the astronomy community through the website ""Dataverse"". This will allow comparison with observations, including Atacama Large Millimeter Array (ALMA) data, for a wide range of species, cloud conditions, and physical scales. New numerical methods developed under the auspices of this funding will also be publicly released.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of North Carolina at Chapel Hill,,United States,Dataverse,Arcot Rajasekar,2017-11-01,2021-10-31,,,2017,499641,USD,"499,641.00",nsf,,1730390,CyberTraining: DSE: Cyber Carpentry: Data Life-Cycle Training using the Datanet Federation Consortium Platform,"The emergence of massive data collections has ushered a paradigm shift in the way scientific research is conducted and new knowledge is discovered. This shift necessitates students to be trained in team-based, interdisciplinary, complex data-oriented approaches designed to translate scientific data into new solutions in order to promote the progress of science; to advance the national health, prosperity and welfare, and to secure the national defense. The proliferation of cyberinfrastructure (CI) tools necessitate addressing the needs of domain scientists from multiple angles, including data access, metadata management, large-scale analytics and workflows, data and application discovery and sharing, and data preservation. Training with such a holistic perspective is indeed daunting with a tool and solution landscape that is still fragmented. Integrated solutions, such as the Datanet Federation Consortium (DFC) Platform, provide a way to ease this overload and help touch upon all of these needed functionalities. The aim of this project is to make it easier for next generation workforce in STEM disciplines to learn all aspects of data-intensive computing environment and, more importantly, to work together with other researchers with complementary expertise.<br/><br/>Students in STEM disciplines need to be educated in (i) practices of data organization, (ii) importance of provenance, metadata and ontology, (iii) conformance to authentication, authorization and access control protocols, (iv) models for data sharing, discovery and curation, (v) necessity for reproducible data science workflows, (vi) practices in dealing with large-scale data computation using super computers and cloud computing, and (vii) distributed data management practices. The Datanet Federation Consortium (DFC) is an NSF-funded project that has implemented a data-centered cyber platform that has integrated tools for end-to-end data life-cycle management and data-intensive high performance computation. This project aims to use the DFC Platform to provide training for STEM graduate students in leading-edge data-intensive practices, in all aspects of data-intensive computing environments. Their training workshops will be multi-disciplinary, including earth system sciences, biological sciences, social and information sciences, marine sciences and engineering. The short term goal of the project is to provide intensive, short duration training discipline-centric workshops, called Cyber Carpentries. These workshops will lead to Certificates in Data Science, preparing a better scientific workforce with advanced data-intensive CI capabilities. For the long-term, project plans to develop self-paced tutorials and a sequence of courses that can be adapted in different STEM disciplines with concentration in data life-cycle management and data-intensive computing. The practicums will involve large datasets from multiple science data repositories including several NSF-funded large-scale cyberinfrastructure such as iRODS, CyVerse, DataONE, SEAD, TerraPop, DataVerse and HydroShare - all of which are integrated through the DFC Platform. Project will recruit students from HBCUs and MSIs for its workshops and will work closely with faculty from these universities to help them adopt the courses developed through this project. All material developed as part of the project will be made available as open course material.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Winston-Salem State University,,United States,Fedora,Darina Dicheva,2011-01-01,2013-12-31,,,2011,149999,USD,"149,999.00",nsf,,1044224,NSDL: Social Bookmarking for Digital Libraries: Improving Resource Sharing and Discoverability,"The objective of this project is to develop a model and implement a service for extending the existing NSDL infrastructure with social bookmarking capabilities that promote efficient discovery, search, and exploration of the resources in the library and associated Open Educational Resources (OER) repositories.<br/><br/>The PIs observe that most digital libraries do not maintain and disseminate information in the way users now expect it. Consequently, they focus on three fundamental problems in conventional digital libraries: (a) users expect to interact with the digital content and to use social paradigms in accessing it; (b) learning repositories are underutilized and there is need of attracting users in a more innovative way; (c) there is need for a more efficient retrieval of library content relevant to users information needs. The project extends a traditional, Fedora-based library model with folksonomy and combines it with a new find-similar method to enhance the discovery, search, and exploration of the resources in the library and the linked OER repositories. The proposed technique for finding similar persons allows users to identify other individuals with whom they share interests, as well as discovering implicit user groups. <br/><br/>This project is expected to have impact on the digital libraries and web-based educational systems. Its goal of extending the capabilities of the search tools in repository context by leveraging social metadata may have a broad impact within the community of digital library users.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Syracuse University,,United States,Dataverse,Colin Elman,2019-04-01,2024-03-31,,,2019,1667886,USD,"1,667,886.00",nsf,,1823950,Qualitative Data Repository 2018-2021,"The Qualitative Data Repository (QDR) curates, preserves, publishes, and enables the download of digital data arising from qualitative research in the social sciences, and from multi-method research in which qualitative data and analyses play a significant role. QDR is the first domain repository in the United States dedicated to working with such data. The repository also develops, disseminates, and promotes standards and techniques for managing, sharing, and reusing qualitative data, and for pursuing research transparency. NSF funding supports QDR?s efforts to increase its data holdings and to develop additional functionality (emphasizing scaling, interoperability, and tools for transparency). The foundation's support also enables QDR to organize customized workshops and training sessions for researchers and data librarians in an effort to expand expertise in qualitative data management and to encourage instruction on qualitative data-management skills. Additionally, the project seeks to further integrate QDR into the academic ecosystem, facilitating interaction with Institutional Review Boards and the social science publication infrastructure, developing new ways for scholars to provide ready access to the data and materials that underpin their publications. <br/><br/>QDR expects to receive CoreTrustSeal certification by the end of 2018. The repository is hosted by Amazon Web Services (AWS) and employs the open-source repository software Dataverse. In conjunction with the Dataverse development community, QDR is designing features and functionality that will allow Dataverse to capture the strengths of qualitative data. QDR?s membership in a consortium of U.S. social sciences data archives (Data Preservation Alliance for the Social Sciences [Data-PASS]) guarantees continuous access to QDR data; QDR is also a member of the Data Preservation Network (DPN), which provides distributed long-term preservation for QDR?s data. During the grant period, QDR will introduce several features to further enhance its service to qualitative and multi-method research communities, including: augmented discoverability of QDR data; data curation at the file-level; automated embargoes; custom subsetting; large file transfer; preview of multimedia data; full-text indexing; a message and log system to capture provenance and curation; and a redesigned user interface. QDR is also developing Annotation for Transparent Inquiry (ATI), a solution for rendering qualitative research more rigorous and persuasive that should revolutionize how such research is represented and received.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Florida International University,,United States,Dataverse,Leonardo Bobadilla,2023-09-01,2025-08-31,,,2023,500000,USD,"500,000.00",nsf,,2322308,CC* Storage: EnviStor: A Repository for Supporting Collaborative Interdisciplinary Research on South Florida's Built and Natural Environments,"The South Florida region is home to nearly 10 million people, and the population is growing. The region faces several challenges, such as rising sea levels and flooding, harmful algae blooms, water contamination, and wildlife habit loss, which affects the economy and the welfare of its population. Florida International University (FIU) will build EnviStor, which aims to be a centrally managed Petabyte scale storage system that is also a clearing house for supporting interdisciplinary research and modeling involving both built and natural environments in South Florida. EnviStor provides opportunities for students (75% of whom coming from underrepresented groups in STEM) and faculty to enhance their knowledge of database management, focusing on interoperability. <br/> <br/>EnviStor facilitates inter and intra-campus capabilities, augmenting the current FIU storage capabilities from the Terabyte to the Petabyte scale through a low-latency, high-performance, and cost-effective architecture to facilitate the creation of science data products. Data backups will be sent to the cloud, ensuring data preservation. In addition, the architecture will include interfaces that facilitate the sharing of datasets at intra- and inter-campus levels. EnviStor will share 20% of its storage resources by federating with the OSDF (Open Science Data Federation) and leveraging FIU’s Dataverse repository. This effort is also supported by National Discovery Cloud for Climate (NDC-C) resources.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,New York University,,United States,Dataverse,Juliana Freire,2021-09-01,2024-08-31,,,2021,1093195,USD,"1,093,195.00",nsf,,2106888,III: Medium: Dataset Search and Ranking for Data Augmentation and Explanation,"There has been an explosion in the volume of data that is being collected and cataloged about the environment, society, and populace. Moreover, with the push towards transparency and open data, scientists, governments, and organizations are increasingly making these data available on the Web. Combined with advances in analytics and machine learning, such growing access to data should in theory allow for progress on many of the world’s most important scientific and societal questions. However, this opportunity is often missed due to a central technical barrier: it is currently nearly impossible for domain experts to weed through the vast amount of publicly-available information to discover datasets that are needed for their specific application. Data repository platforms, such as CKAN and Dataverse, and dataset search engines, such as Google Dataset Search, aim to make it easy to share and find datasets. But these systems only support simple, keyword-based queries and metadata search, which are insufficient for users to properly specify their information needs. The investigators envision a new kind of dataset search engine that unlocks the untapped value in open data by supporting a richer set of findability queries that cater to the needs of analytics tasks, and aid in the construction and refinement of machine learning models. By empowering scientists and practitioners with the ability to discover relevant data, the project has great potential to stimulate data reuse both within and across domains.<br/><br/>The project will develop methods where the user’s existing data forms the basis of a query that retrieves additional, related data from a large collection of datasets and attributes. There are many technical hurdles to overcome to support such queries. One primary challenge is computational efficiency: this project will develop novel algorithms for rapidly computing and searching for dataset relationships. The investigators will build on a rich variety of tools, including randomized sketching and hashing algorithms, and contribute new theoretical analyses to understand these methods. The algorithms contributed will address both highly-structured data (e.g., spatio-temporal) as well as generic numerical or categorical data. A second challenge is usability: the project will develop novel methods for assessing the significance of discovered data relationships, for pruning out coincidental or spurious relationships, and for ranking and presenting datasets to the end-user. Finally, the project will contribute a formalism to the dataset search problem that supports a wide range of findability queries based on dataset relationships. Active plans for engagement in STEM related activities for high-school students are detailed.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"Krause, Margaret Rose",,United States,Dataverse,Margaret Krause,2019-09-01,2022-08-31,,,2019,216000,USD,"216,000.00",nsf,,1907296,NSF Postdoctoral Fellowship in Biology FY 2019: Trait Stability and Broad Adaptation over Forty Years of Selection in a Global Wheat Breeding Program,"This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2019. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to Margaret R. Krause is ""Trait Stability and Broad Adaptation over Forty Years of Selection in a Global Wheat Breeding Program"". The host institutions for the fellowship are the International Maize and Wheat Improvement Center (CIMMYT)/Kansas State University, and the sponsoring scientists are Drs. Matthew Reynolds and Jesse Poland. <br/><br/>Crop varieties that maintain consistent yields across a range of environmental stresses are of value to farmers, particularly those who are resource-poor with limited ability to recover from crop losses. Understanding the genetic basis of trait stability across a gradient of environmental conditions will enhance the development of broadly adapted, climate-resilient crop varieties. However, trait stability is expensive and laborious to measure due to the extensive multi-environment trials required to produce reliable estimates. Since 1979, the International Maize and Wheat Improvement Center (CIMMYT) in Mexico has sent wheat breeding material to collaborators around the world for evaluation each year. These trials provide a rare opportunity to improve our understanding of 1) the genetic controls underlying trait stability in wheat and 2) how the wheat genome has evolved over forty years of selection for broad adaptation. Broader impacts include developing data analytics training modules for plant breeders from developing countries. Training objectives includes acquiring expertise in genomics and bioinformatics at Kansas State University, and in the analysis of weather datasets at CIMMYT's research center at Henan Agricultural University in China. <br/><br/>The project will integrate genomic information, weather data, and phenotypic trait records from forty years of CIMMYT's international trials to understand the genetic architecture of phenotypic stability and the effects of long-term artificial selection for broad adaptation on the wheat genome. The project will develop robust estimates of stability for yield and other traits from data records that were collected at more than 500 locations ranging from Norway to New Zealand and spanning more than 3,500 meters in elevation. The project will also generate whole genome re-sequencing of CIMMYT's founder lines and weather datasets linked to the international trial locations. Data and methodologies will be made publically available in peer reviewed journal articles, on CIMMYT's Research Data & Software Repository Network (https://data.cimmyt.org/), and through Dataverse, an open source public data repository (dataverse.org).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Carnegie-Mellon University,,United States,Dataverse,Howard Choset,2021-08-01,2023-07-31,,,2021,70000,USD,"70,000.00",nsf,,2140528,RAPID/Collaborative Research: Data Collection for Robot-Oriented Disaster Site Modeling at Champlain Towers South Collapse,"This Grant for Rapid Response Research (RAPID) will support a collaborative team of researchers from Florida State University, Texas A&M University, and Carnegie Mellon University to operate under the supervision of the Miami Dade Fire Rescue Department and Florida Task Force 1 at the site of the Champlain Towers South condominium collapse in Surfside, Florida. This project will address the need for a robot-oriented model of rubble by using unmanned aerial system (UAS) imagery and other contextual information. The lack of a robot-oriented model of rubble is a major barrier to the design and manufacture of effective, economical, and reliable ground robots for disasters and other extreme environments. Although structural engineering teams are also investigating the site, they do not capture data about the factors that impact whether a robot can navigate the interior of a building collapse. This project will benefit society by facilitating the design and deployment of robots to save lives, either to find survivors in rubble otherwise inaccessible to humans and dogs or by reducing the need for human responders to enter unsafe areas. The team is diverse, with a woman as the principal investigator, and will train a diverse set of students to conduct robotics research for disasters.<br/><br/>The team will: 1) assist rescue, recovery, and forensic structural teams by collecting UAS images of the collapse from response through recovery, 2) collect and analyze data on UAS performance relating to flights, missions, data processing, and operations tempo, 3) analyze orthomosaic and digital elevation imagery to formally model traversability constraints for ground robots in extreme environments, including features such as scale, shape, and surface properties, 4) curate images for general use and archive on the Texas Data Repository open source dataverse site, and 5) attempt to create a 3D visualization of the voids in the interior of the rubble from the progressively uncovered site via a subtractive and labeling process. The research will create a new fundamental research methodology for analyzing disasters, and extreme environments in general, from the perspective of ground and aerial robotic systems. The image datasets may also enable the computer vision machine learning communities to recognize structural conditions and indications of survivors. The results of the study will be made freely available, including a workshop, and will improve use of robots in future disasters by formalizing design features and offering a rapid recognition of which robot types to deploy for what conditions. <br/><br/>This project is supported by the cross-directorate Foundational Research in Robotics program, jointly managed and funded by the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Florida State University,,United States,Dataverse,David Merrick,2021-08-01,2023-07-31,,,2021,93874,USD,"93,874.00",nsf,,2140573,RAPID/Collaborative Research: Data Collection for Robot-Oriented Disaster Site Modeling at Champlain Towers South Collapse,"This Grant for Rapid Response Research (RAPID) will support a collaborative team of researchers from Florida State University, Texas A&M University, and Carnegie Mellon University to operate under the supervision of the Miami Dade Fire Rescue Department and Florida Task Force 1 at the site of the Champlain Towers South condominium collapse in Surfside, Florida. This project will address the need for a robot-oriented model of rubble by using unmanned aerial system (UAS) imagery and other contextual information. The lack of a robot-oriented model of rubble is a major barrier to the design and manufacture of effective, economical, and reliable ground robots for disasters and other extreme environments. Although structural engineering teams are also investigating the site, they do not capture data about the factors that impact whether a robot can navigate the interior of a building collapse. This project will benefit society by facilitating the design and deployment of robots to save lives, either to find survivors in rubble otherwise inaccessible to humans and dogs or by reducing the need for human responders to enter unsafe areas. The team is diverse, with a woman as the principal investigator, and will train a diverse set of students to conduct robotics research for disasters.<br/><br/>The team will: 1) assist rescue, recovery, and forensic structural teams by collecting UAS images of the collapse from response through recovery, 2) collect and analyze data on UAS performance relating to flights, missions, data processing, and operations tempo, 3) analyze orthomosaic and digital elevation imagery to formally model traversability constraints for ground robots in extreme environments, including features such as scale, shape, and surface properties, 4) curate images for general use and archive on the Texas Data Repository open source dataverse site, and 5) attempt to create a 3D visualization of the voids in the interior of the rubble from the progressively uncovered site via a subtractive and labeling process. The research will create a new fundamental research methodology for analyzing disasters, and extreme environments in general, from the perspective of ground and aerial robotic systems. The image datasets may also enable the computer vision machine learning communities to recognize structural conditions and indications of survivors. The results of the study will be made freely available, including a workshop, and will improve use of robots in future disasters by formalizing design features and offering a rapid recognition of which robot types to deploy for what conditions. <br/><br/>This project is supported by the cross-directorate Foundational Research in Robotics program, jointly managed and funded by the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Texas A&M Engineering Experiment Station,,United States,Dataverse,Robin Murphy,2021-08-01,2022-12-31,,,2021,57668,USD,"57,668.00",nsf,,2140451,RAPID/Collaborative Research: Data Collection for Robot-Oriented Disaster Site Modeling at Champlain Towers South Collapse,"This Grant for Rapid Response Research (RAPID) will support a collaborative team of researchers from Florida State University, Texas A&M University, and Carnegie Mellon University to operate under the supervision of the Miami Dade Fire Rescue Department and Florida Task Force 1 at the site of the Champlain Towers South condominium collapse in Surfside, Florida. This project will address the need for a robot-oriented model of rubble by using unmanned aerial system (UAS) imagery and other contextual information. The lack of a robot-oriented model of rubble is a major barrier to the design and manufacture of effective, economical, and reliable ground robots for disasters and other extreme environments. Although structural engineering teams are also investigating the site, they do not capture data about the factors that impact whether a robot can navigate the interior of a building collapse. This project will benefit society by facilitating the design and deployment of robots to save lives, either to find survivors in rubble otherwise inaccessible to humans and dogs or by reducing the need for human responders to enter unsafe areas. The team is diverse, with a woman as the principal investigator, and will train a diverse set of students to conduct robotics research for disasters.<br/><br/>The team will: 1) assist rescue, recovery, and forensic structural teams by collecting UAS images of the collapse from response through recovery, 2) collect and analyze data on UAS performance relating to flights, missions, data processing, and operations tempo, 3) analyze orthomosaic and digital elevation imagery to formally model traversability constraints for ground robots in extreme environments, including features such as scale, shape, and surface properties, 4) curate images for general use and archive on the Texas Data Repository open source dataverse site, and 5) attempt to create a 3D visualization of the voids in the interior of the rubble from the progressively uncovered site via a subtractive and labeling process. The research will create a new fundamental research methodology for analyzing disasters, and extreme environments in general, from the perspective of ground and aerial robotic systems. The image datasets may also enable the computer vision machine learning communities to recognize structural conditions and indications of survivors. The results of the study will be made freely available, including a workshop, and will improve use of robots in future disasters by formalizing design features and offering a rapid recognition of which robot types to deploy for what conditions. <br/><br/>This project is supported by the cross-directorate Foundational Research in Robotics program, jointly managed and funded by the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Rutgers University New Brunswick,,United States,Fedora,Ivan Rodero,2016-09-01,2022-03-31,,,2016,4000000,USD,"4,000,000.00",nsf,,1640834,CIF21 DIBBs: EI: Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data Intensive Science,"This project develops a virtual data collaboratory that can be accessed by researchers, educators, and entrepreneurs across institutional and geographic boundaries, fostering community engagement and accelerating interdisciplinary research. A federated data system is created, using existing components and building upon existing cyberinfrastructure and resources in New Jersey and Pennsylvania. Seven universities are directly involved (the three Rutgers University campuses, Pennsylvania State University, the University of Pennsylvania, the University of Pittsburgh, Drexel University, Temple University, and the City University of New York); indirectly, other regional schools served by the New Jersey and Pennsylvania high-speed networks also participate. The system has applicability to a several science and engineering domains, such as protein-DNA interaction and smart cities, and is likely to be extensible to other domains. The cyberinfrastructure is to be integrated into both graduate and undergraduate programs across several institutions. <br/><br/>The end product is a fully-developed system for collaborative use by the research and education community. A data management and sharing system is constructed, based largely on commercial off-the-shelf technology. The storage system is based on the Hadoop Distributed File System (HDFS), a Java-based file system providing scalable and reliable data storage, designed to span large clusters of commodity servers. The Fedora and VIVO object-based storage systems are used, enabling linked data approaches. The system will be integrated with existing research data repositories, such as the Ocean Observatories Initiative and Protein Data Bank repositories. Regional high-performance computing and network infrastructure is leveraged, including New Jersey's Regional Education and Research Network (NJEdge), Pennsylvania's Keystone Initiative for Network Based Education and Research (KINBER), the Extreme Science and Engineering Discovery Environment (XSEDE) computing capabilities, Open Science Grid, and other NSF Campus Cyberinfrastructure investments. The project also develops a custom site federation and data services layer; the data services layer provides services for data linking, search, and sharing; coupling to computation, analytics, and visualization; mechanisms to attach unique Digital Object Identifiers (DOIs), archive data, and broadly publish to internal and wider audiences; and manage the long-term data lifecycle, ensuring immutable and authentic data and reproducible research.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Utah,,United States,Fedora,Ivan Rodero,2021-10-01,2022-09-30,,,2021,1540483,USD,"1,540,483.00",nsf,,2220826,CIF21 DIBBs: EI: Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data Intensive Science,"This project develops a virtual data collaboratory that can be accessed by researchers, educators, and entrepreneurs across institutional and geographic boundaries, fostering community engagement and accelerating interdisciplinary research. A federated data system is created, using existing components and building upon existing cyberinfrastructure and resources in New Jersey and Pennsylvania. Seven universities are directly involved (the three Rutgers University campuses, Pennsylvania State University, the University of Pennsylvania, the University of Pittsburgh, Drexel University, Temple University, and the City University of New York); indirectly, other regional schools served by the New Jersey and Pennsylvania high-speed networks also participate. The system has applicability to a several science and engineering domains, such as protein-DNA interaction and smart cities, and is likely to be extensible to other domains. The cyberinfrastructure is to be integrated into both graduate and undergraduate programs across several institutions. <br/><br/>The end product is a fully-developed system for collaborative use by the research and education community. A data management and sharing system is constructed, based largely on commercial off-the-shelf technology. The storage system is based on the Hadoop Distributed File System (HDFS), a Java-based file system providing scalable and reliable data storage, designed to span large clusters of commodity servers. The Fedora and VIVO object-based storage systems are used, enabling linked data approaches. The system will be integrated with existing research data repositories, such as the Ocean Observatories Initiative and Protein Data Bank repositories. Regional high-performance computing and network infrastructure is leveraged, including New Jersey's Regional Education and Research Network (NJEdge), Pennsylvania's Keystone Initiative for Network Based Education and Research (KINBER), the Extreme Science and Engineering Discovery Environment (XSEDE) computing capabilities, Open Science Grid, and other NSF Campus Cyberinfrastructure investments. The project also develops a custom site federation and data services layer; the data services layer provides services for data linking, search, and sharing; coupling to computation, analytics, and visualization; mechanisms to attach unique Digital Object Identifiers (DOIs), archive data, and broadly publish to internal and wider audiences; and manage the long-term data lifecycle, ensuring immutable and authentic data and reproducible research.",,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,Robert Wood Johnson Foundation,https://ror.org/02ymmdj85,Private,"Northwestern University, Feinberg School of Medicine",,United States,Dataverse,[None],2016-09-15,2019-03-14,2016,910 days,2016,250000,USD,"250,000.00",rwjf.org,,rwjf::74029,Testing the impact of supplemental income for families in poverty on their children's long-term educational attainment and health outcomes,"The Foundation's initiative, Policies for Action: Policy and Law Research to Build a Culture of Health, was designed to form the evidence base regarding how policy and law can promote and may be necessary to build a Culture of Health by: (1) supporting health policy research focused on advancing a Culture of Health and supporting real-world empirical applications of that research; and (2) establishing hubs throughout the United States that will provide additional capacity to identify, develop, and oversee new and emerging areas of research in the field.Children who grow up in poverty are exposed to multiple risk factors that adversely impact their health trajectories, resulting in lower human capital and poorer health into adulthood. This research project, selected through Policies for Action's Call for Proposals, will use a simulation approach to test for the first time the long-term impact of early childhood income supplements on health and educational attainment. Income supplement policies (e.g., child benefits, guaranteed minimum income, EITC, or welfare) may provide parents the opportunity to make healthier choices for their children. This project will provide actionable evidence for policy makers about whether addressing the roots of inequities (i.e., insufficient income) is a valuable strategy for improving long-term education and health at the population level, and reducing inequities in those outcomes. Deliverables include: research reports, research-in-progress webinars, podcasts, research meetings, policy briefings; and the simulation model is available at dataverse.org, op-eds.",Health Disparities,Repository software,,,"Repository software, , "
oic_scrape,USE,Indirect,Robert Wood Johnson Foundation,https://ror.org/02ymmdj85,Private,University of North Carolina at Chapel Hill,,United States,Dataverse,"[None, None]",2017-03-15,2018-12-14,2017,639 days,2017,184450,USD,"184,450.00",rwjf.org,,rwjf::74419,"Identifying effective, efficient methods for implementing data policies for scholarly journals that incorporate review and verification","This project seeks to identify the most effective and efficient methods for implementing data policies that incorporate review and verification in peer-review journals. The project will involve two components: (1) an examination of existing policies on manuscript review and data sharing/verification issued by journals that have a robust data policy, including the new category of data journals; and (2) a survey, supplemented with interviews, of editors, authors, and peer reviewers to identify specific aspects of the data-review process where opportunities exist for policy enhancements and workflow improvements. The project team will use the results of the study to develop an evidence-based model for implementation of data policies designed to be both efficient and effective in ensuring access to and interpretability and reusability of data underlying published research. The policy-implementation model will include suggestions for the content and presentation of policies; frameworks for developing guidance documentation that facilitates the submission of high-quality datasets; and workflow modifications to support data review and verification within the publication process. The Odum Institute will make public-use datasets, supporting documentation, analysis code, and related materials, openly available on the Open Science Framework's project page, as well as archived and shared within the University of North Carolina Dataverse, to enable other researchers to verify and extend research results.",,Repository software,,,"Repository software, , "
oic_scrape,ADJ,Indirect,Social Sciences and Humanities Research Council,https://ror.org/04j5jqy92,Public,Concordia University of Edmonton,,Canada,Dataverse,Concordia University of Edmonton,,,2019,,2019,19088,CAD,"13,999.21",http://www.outil.ost.uqam.ca/CRSH/RechProj.aspx,http://www.outil.ost.uqam.ca/CRSH/Detail.aspx?Cle=187599&Langue=2,sshrc_ca:grants::187599,Alberta Research-Data Management Information Network (ARMIN),dissemination; workshop; research data management capacity building initiative; dataverse; research data; data ownership; data stewardship,Connection Grants > Management Information Systems > Information Technologies,Repository software,,,"Repository software, , "
openaire,ADOPT_L,Adoption,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of York,,United Kingdom,Fedora,,2010-03-01,2011-03-31,,,2010,140250,GBP,"209,207.15",openaire,,ukri________::96a00412d8e9bb42fd9a0797ce6c21bb,ADS+: Enhancing and Sustaining the Archaeology Data Service digital repository,"The Archaeology Data Service (ADS) supports research, learning and teaching with high quality and dependable digital resources. It does this by preserving digital data in the long term, and by promoting and disseminating a broad range of data in archaeology. The ADS promotes good practice in the use of digital data in archaeology, it provides technical advice to the research community, and supports the deployment of digital technologies. It was founded in 1996 and has received support from AHRB/AHRC since 1998.\n\nThe ADS now holds over one million metadata records providing pointers to digital resources covering the archaeology of the UK. It also holds the digital outputs of 25 AHRB/AHRC funded research projects, along with over 250 digital archives from projects funded by other bodies, including English Heritage, CADW, Historic Scotland, NERC, and the British Academy. These holdings represent primary data from unrepeatable excavations and research. They are essential to support the research environment of Archaeology in the UK, both in the academic sector, and beyond.\n\nSince its foundation ADS has developed a robust repository infrastructure, based around an Oracle database, a Java-based Collections Management system, and a suite of Unix servers, with onsite and offsite backup, and synchronization with the UK Data Archive in Essex. However, as ADS holdings have grown in size and number, and user expectations have also increased, this technical infrastructure has become a constraint upon enhanced access to ADS collections and, in its current form, would be costly to extend and maintain in the long term.\n\nOver the last 2-3 years the digital preservation community has embraced a software application known as Fedora (or Flexible Extensible Digital Object Repository Architecture). Fedora is a digital asset management (DAM) architecture, upon which many types of digital library, institutional repositories, and digital archives, are now being built. The implementation of Fedora at ADS would streamline the long-term curation of existing archives and cut the cost of ingest of new archives. It would also enhance access to all ADS collections in an extremely powerful fashion. Currently, users can search for digital archives at collection level, and can then 'drill down' onto each archive to search for specific files of relevance to their particular research question. Fedora is structured around collections and individual files and would allow users to search across collections for individual digital objects. Therefore all ADS users would be enabled to search within and across archives, exploring and creating links between a wide range of rich digital resources. Furthermore, Fedora would also enhance the ability of ADS to allow external systems (including search engines such as Google, as well as other data aggregators) to interrogate and link to ADS holdings at the level of individual digital objects.\n\nHowever, whilst 'Out-of-the-box' Fedora includes the necessary software tools to ingest, manage, and provide basic delivery of objects it has few customised tools and requires extensive software development to tailor it to the data structures and user needs of specific archives. It is an Open Source solution, which means that whilst it is freely available to download and install, a specific implementation requires significant programming investment. The implementation of Fedora at ADS would also require significant migration of existing cataloguing data and metadata enhancement, if its full power is to be realised.\n\nThe ADS+ project therefore requests funding for two people - an Applications Developer and a Curatorial Officer - for one year, in order to turn ADS into a Fedora repository consistent with international ISO standards.\n",,Repository software,,,"Repository software, , "
openaire,ADJ,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,King's College London,,United Kingdom,Fedora,,2010-09-30,2011-12-31,,,2010,231867,GBP,"367,988.93",openaire,,ukri________::b42c306f4835e48ff0c63e49571360d7,Content Models for Enhancement and Sustainability (CMES),"The project will develop an extensible framework for representing and managing broad categories of complex digital collections produced by arts and humanities research, and a methodology for extending this framework. By creating open, generic (yet flexible) solutions, the project aims to maximise the sustainability of digital resources through technological change, and to facilitate the re-use of the materials in innovative ways that neither we nor the resource developers could anticipate.\n\nThe project will achieve this within the context of the Fedora digital repository software. Fedora has the concept of 'content models', which may be regarded as 'data types' for digital objects. We will exploit extensions to this concept to create 'content patterns' that serve as templates for creating, managing, sustaining, exposing and re-using digital collections that conform to the pattern.\n\nWe will develop these content models for two specific groups of collections - (i) digital texts, and (ii) multi-media performing arts collections - and we will use them to model a set of target collections within a digital repository instance that we will maintain after project completion. We will thus contribute to the enhancement and sustainability of these collections; however, we must emphasise that we are not developing ad hoc solutions for these resources, but rather content models and software that can be used for other collections of analogous type, as well as a methodology for extending our approach to other types of digital resource.\n",,Repository software,,,"Repository software, , "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Edinburgh,,United Kingdom,Dataverse,,2013-03-01,2014-08-30,,,2013,191152,GBP,"287,380.13",openaire,,ukri________::fbc14c2f8a185ecb3459af19c3938fdb,The Referendum on Scottish Independence: A Democratic Audit,"This project will provide a detailed analysis of the Scottish Government's proposal for independence and a democratic audit of the referendum process designed to offer this option to the Scottish people. The two dimensions are inextricably linked. Constitutional outcomes are shaped by the process that produces them and at the same time the legitimacy of any constitutional initiative is heavily dependent upon the fairness of the process that brings it about.
There are significant gaps in the information available to policy makers and citizens at this crucial constitutional moment for Scotland. The project will provide policy-makers, civil society and citizens with clear and accessible explanations of what independence would mean for the ways in which they are governed. At the same time it will make recommendations for how best to engage citizens in the referendum process.
First, the project will ask: what does 'independence' mean, particularly in the context of a three hundred year union that has left the United Kingdom deeply integrated and in the context of an ever more expansive European Union? The Investigator will offer a Table of Powers and a fully searchable Dataverse of how the powers of the Scottish Parliament would change, in a format accessible to policy makers and non-specialists in civil society.
Secondly, the Investigator will assess the planned referendum process. From a recent major study (Tierney 2012) he will use the following principles to assess the fairness of the Scottish referendum: active citizen participation, inclusive of different voices and opinions; the provision of objective and non-partisan information to citizens and proper legal regulation of the referendum campaign; and the maximisation of satisfaction with the process by both winners and losers. The project will therefore contribute to the ESRC's strategic priority: 'A vibrant and fair society', by offering prescriptions as to how individuals and civil society in Scotland can most effectively make their voices heard in the current constitutional debate.
The project will offer various outputs. It will lead to two high level academic articles in leading journals. It is, however, targeted primarily at policy-makers, civil society and citizens. The main outputs will be the Table of Powers and Dataverse; three one-day Workshops which will result in Reports aimed at policy makers and civil society; summarised Evidence Briefings targeted at interested citizens; and on-line Quizzes for interested citizens including school pupils to test their knowledge of the independence issue.
The Workshops will be phased to inform various stages of the policy-making process and will be podcasted on the project Website: the first will be held to coincide with the Referendum Bill's introduction into the Scottish Parliament and will offer guidelines on how to design a deliberative referendum. The second will bring together experts on the constitution to consider the implications of independence for the United Kingdom and for Scotland's international status, again well in advance of the referendum; the third will seek to offer guidelines as to how the referendum process leading up to 2014 might be improved as the Scottish Government's Elections Team work on the details of the process and the Electoral Commission begins to assess these. The Website and a Blog will be established to disseminate results, host the Table of Powers, Dataverse and Quizzes.
As Director of the Edinburgh Centre for Constitutional Law and a founding co-ordinator of the Scottish Constitutional Futures Forum, the Investigator can offer high profile and well-resourced dissemination networks through which to deliver these outputs and, in particular, with which to engage extensively across Scottish and wider British policy-making and civil society sectors.",,Repository software,,,"Repository software, , "
oic_scrape,RD,Direct,Andrew W. Mellon Foundation,https://ror.org/04jsh2530,Private,Creative Commons Corporation,,United States,Creative Commons,,2007-12-11,2009-07-11,2007,19 months,2007,300000,USD,"300,000.00",mellon.org,https://https://www.mellon.org/grant-details/7147,mellon:grants::7147,,"to support an empirical study and analysis of the distinction between ""commercial"" and ""noncommercial"" in Creative Commons licenses",Public Knowledge,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,RD,Direct,European Commission,https://ror.org/00k4n6c32,Public,School of Oriental and African Studies,,United Kingdom,IIIF,,2020-11-01,2023-01-31,,,2020,150000,EUR,"174,780.00",openaire,,corda__h2020::a3cfe21027fe1e50d50e89d8b0724580,The Multimedia Yasna International Image Interoperability Framework,"Images published on the Web are currently locked up in silos because institutions use different image delivery software on their networks, one that is usually tightly coupled with their custom metadata structures. This has led to isolated data silos that prevent information to be easily reused. The International Image Interoperability Framework (IIIF) solves this problem with a set of protocols or Application Programming Interfaces (API), for requests between computers to allow images and metadata held in different digital repositories to be accessed in a standardised format. The IIIF standard is now used by a growing number of major libraries and other institutions around the globe.
However, it is not possible in IIIF to locate a particular text passage without searching the whole manuscript because there are no tools to create and search document structure (as opposed to textual annotations and commentaries, for which tools already exist). MUYA-IIIF will establish proof of concept of the idea, generated by the ERC-funded project The Multimedia Yasna (MUYA, AdG 694612, 2016–2021), to develop and implement a IIIF compliant tool for annotating textual structure (e.g. siglum, title, folio number, chapter, stanza, verse), associate the image with the structured transcription of the text it bears, and make such structure detectable within IIIF. This PoC will 1) enable “expert sourcing” via an open source platform to capture structural information in multiple manuscript witnesses; 2) represent structural information in a way that connects the intellectual structure of the object with the user’s viewing experience; 3) potentially use machine assisted segmentation in marking up the text to create structure; 4) connect the metadata, structural metadata, and TEI-XML transcripts with the images in a unified user experience; 5) use open source software built on open standards, to create a reusable seamless user experience that replaces a typically onerous process.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,ADJ,Indirect,European Commission,https://ror.org/00k4n6c32,Public,AudioGaming (France),,France,Creative Commons,,2016-02-01,2019-01-31,,,2016,2979060,EUR,"3,242,408.90",openaire,,corda__h2020::1b3434ff4601b3e4f21ca47f90ea8ae3,Audio Commons: An Ecosystem for Creative Reuse of Audio Content,"The democratisation of multimedia content creation has changed the way in which multimedia content is created, shared and (re)used all over the world, yielding significant amounts of user-generated multimedia resources, big part shared under open licenses. At the same time, creative industries need to reduce production costs in order to remain competitive. There is, therefore, an opportunity for creative industries to incorporate such content in their productions, but there is a lack of technologies for easily accessing and incorporating that type content in their creative workflows.
In the particular case of sound and music, a huge amount of audio material like sound samples, soundscapes and music pieces, is available and released under Creative Commons licenses, both coming from amateur and professional content creators. We refer to this content as the 'Audio Commons'. However, there exist no practical ways in which Audio Commons can be embedded in the production workflows of the creative industries, and licensing issues are not easily handled across the production chain. As a result, most of this content remains unused in professional environments.
The aim of this project is to create an ecosystem of content, technologies and tools to bring the Audio Commons to the creative industries, enabling creation, access, retrieval and reuse of Creative Commons audio content in innovative ways that fit the requirements of the use cases considered (e.g., audiovisual, music and video games production).
Furthermore, we tackle rights management challenges derived from the content reuse enabled by the created ecosystem and research about emerging business models that can arise form it. Our project will benefit creative industries by providing new and innovative creativity supporting tools and reducing production costs, and will benefit content creators by offering a channel to expose their works to professional environments and to allow them to (re)licence their content.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,ADJ,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz19,Public,Archives nationales,,France,IIIF,,2012-10-01,,,,2012,7100000,EUR,"9,142,670.00",openaire,,anr_________::ec7fb882f1121541c4469a641932ea6a,"Bibliotheca bibliothecarum novissima : un observatoire du patrimoine écrit du Moyen Âge et de la Renaissance (arabe, français, grec, hébreu, latin)","Biblissima donne accès à un ensemble massif et complexe de données sur les manuscrits et les imprimés anciens, les textes transmis, leur circulation et leurs lecteurs, du 8e au 18e siècle. C'est un équipement de données pour la recherche, la formation et la diffusion à tous les publics.Biblissima a déterminé et mis en œuvre une politique scientifique de numérisation, catalogage, encodage de sources et de formation dans les bibliothèques et les archives de France, fédérant 67 projets scientifiques et numériques. Son portail, qui compte près de 625 000 pages, rend interopérables, depuis 2020, les 2 grandes bases de données iconographiques de la BnF et de l’IRHT. La première collection d'éditions scientifiques en TEI d'inventaires anciens de bibliothèques, Thecae, a ouvert son laboratoire d’édition, Thecae-Lab, riche de plusieurs centaines de textes. Les logiciels Collatinus et Eulexis se développent et sont de plus en plus utilisés.Biblissima a réalisé un gros travail d'alignement de données hétérogènes et de création d'identifiants, produisant des référentiels fiables permettant l'agrégation et l'interopérabilité des données. Sur https://data.biblissima.fr sont publiées plus de 266 espace000 entités vérifiées.Biblissima est devenu leader en France du protocole d'interopérabilité des images numériques IIIF (https://doc.biblissima.fr/iiif) créé par l'Université de Stanford. espaceL'offre d'expertise et d’accompagnement IIIF 360, opérée par Biblissima avec le Campus Condorcet et la TGIR Huma-Num, concerne une trentaine de projets. Le moteur de recherche permettant d’interroger et fédérer les ressources numériques accessibles via les standards IIIF partout dans le monde, IIIF Collections, donne un accès rapide à plus de 77 000 documents et favorise le développement international de Biblissima.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,ADJ,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz20,Public,Campus Condorcet,,France,IIIF,,2021-11-01,,,,2021,11931000,EUR,"13,813,711.80",openaire,,anr_________::665f23ba0b8d776f094809865605c94f,"Biblissima+, Observatoire des cultures écrites anciennes, de l’argile à l’imprimé","L’infrastructure numérique Biblissima+ rassemble des données sur les cultures écrites anciennes, potentiellement sans limitation, sur tous supports. Biblissima+ va créer des mécanismes stables d’agrégation et d’enrichissement de données ouvertes (volet A du projet). Agrégeant de nouveaux types de données, l’infrastructure veille au partage des référentiels, à l’efficacité et à la simplicité d’un portail unique, à son articulation avec d’autres grandes infrastructures. En 2022, plusieurs équipes ont travaillé sur les référentiels qui vont converger dans data.biblissima, déjà riche de plus de 311 espace000 entités (lieux anciens, personnes, œuvres, objets, numismatique, épigraphie, musique). 8 nouveaux projets ont été sélectionnés au titre de l’AMI 2021-2022. Biblissima+ veille à leur intégration, au partage des outils et des pratiques et à la gestion des données (PGD, service IIIF 360, accompagnement). Le portail donne accès à presque 670 espace000 entités.Pour aller plus loin, il faut permettre au chercheur d’enrichir les corpus de sources grâce à des outils numériques propres à lui faire faire des découvertes (volet B du projet). A la suite des premières journées Biblissima+ fin avril 2022, les 7 clusters de Biblissima+ ont commencé à se structurer au cours de l’année, avec leurs premières rencontres (workshops et formations). Certains n’ont demandé des financements qu’à partir de 2023. Les plus avancés sont le cluster 1, avec l’opération de diffusion de IIIF dans les services d’archives et IIIF360 espace; le cluster 3, sur l’usage de l’IA pour la transcription de tous les systèmes graphiques espace; le cluster 5a, qui va unifier les pratiques des épigraphistes sur le temps long espace; le cluster 5b, avec des éditions de textes très divers dans les équipes et son « espacelaboratoire de textes espace» en TEI espace; le cluster 6 pour la musicologie numérique.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,USE,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz27,Public,INSTITUT DES SCIENCES DU CALCUL ET DES DONNEES,,France,IIIF,,,,,,,612388,EUR,,openaire,,anr_________::c2f178ca6e6d90635e374e1650ca13c0,Computer Vision and Historical Analysis of Scientific Illustration Circulation,"The VHS project proposes a new approach to the historical study of the circulation of scientific knowledge based on new methods of illustration analysis. Thanks to the recent developments in AI, and Computer Vision, the aim is to design a new analysis tool based on the study of the evolution and transformation of images in illustrated scientific corpora from the Middle Ages and the modern period. To this end, we will develop unsupervised or weakly supervised learning methods that will allow us to carry out large-scale automatic searches adapted to these corpora, based on the detection of iconographic similarities (between images, in order to identify the copying and borrowing processes, in particular) and textual similarities (between images and captions or associated texts, in order to identify, e.g., different images describing similar textual content). These methods will provide historians with new associations of illustrations and possible relationships (inter-iconic and/or inter-textual), the analysis of which will allow to answer to several essential questions in studies of the circulation of illustrated scientific knowledge, starting with the place and role of the image in the transmission of these knowledge. To achieve these goals, the project involves three recognized partners (the Digital Humanities team of the Institut des Sciences du Calcul et des Données at Sorbonne University; the Monde Byzantin team from the Orient & Méditerranée laboratory (UMR 8167); the Imagine team from the Gaspard Monge Computer Science Laboratory at École des Ponts ParisTech (ENPC)) which brings together specialists in History of Science, scientific illustration, Computer Vision and Deep Learning. The VHS team is driven by a strongly interdisciplinary approach that will be structured over the four years of the project around regular internal workshops, which will allow the cross-fertilization of skills and approaches and the organization of work, and a monthly public seminar dedicated to studies on scientific illustration circulation. The work will be carried out on four illustrated corpora, two medieval manuscript corpora and two printed corpora from the modern period, covering three fields of knowledge: natural history, mathematics and pharmacology. These corpora will be indexed, and their illustrations automatically extracted in an IIIF database equipped with a consultation and annotation interface, the implementation of which will constitute the first phase of the project. The consortium will then work in parallel on the development of similarity detection methods, the joint analysis of the tests carried out, as well as the historical study of the results obtained and the associated methodological issues. The approach adopted, closely combining humanities and data sciences, places the project firmly in the field of Digital Humanities, where VHS will provide a concrete and important result for historians of science, of technology, of art and for the visual studies community: the availability of the methods developed in the form of an IIIF API, designed as a research environment for the analysis of the circulation of scientific knowledge through images. These same methods will also constitute original contributions in the field of AI, on several important challenges, such as weakly supervised learning of fine-grained image representations (including weakly aligned text data) and weakly supervised learning of image style. The results of the project will be disseminated academically (publications, conferences, preparation of a collective work) in all the disciplines involved. They will also be pedagogically valorized through the development of educational materials for primary and secondary school teachers, as well as the implementation of a Master's degree Teaching Unit in Digital Humanities.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,USE,Indirect,Agence Nationale de la Recherche (ANR),https://ror.org/00rbzpz28,Public,PCM2E-Université de Tours,,France,IIIF,,,,,,,266793,EUR,,openaire,,anr_________::099e6f9ffcc0978d5e3ace72f7739b51,French Renaissance Typography (1470-1640),"TYPOREF's main goal is to understand the evolution of typographic design in French Renaissance book, by developing digital tools. The project will investigate three complementary corpuses : 1. It will register, describe and study types and ornaments in French books. A specific online database will be developed. Using the IIIF open standard to access digital facsimiles of Renaissance books, it will localise types and ornaments into digital images. These images will be automaticaly processed thanks to specific software which will be developed during the project by computer scientists. 2. The team will investigate archive records to make a census of documents concerning typographic materials (printshop inventories, selling certificates, rental leases...) to provide information about people involved in their production and circulation. These documents will be register in the database. 3. Thanks to a partnership with museums, original tools (punches, matrices, woodcuts...) preserved in public collections will be studied and registered in the database.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,University of Southern California,,United States,IIIF,Peter Mancall [Project Director]; Curtis Fletcher [Co Project Director]; Sean Fraga [Co Project Director],2022-09-01,2024-08-31,2022,24,2022,150000,USD,"150,000.00",https://apps.neh.gov/open/data/,,neh::HAA-287859-22,,"Booksnake: Building and Testing an Augmented Reality Tool for Embodied Interaction with Existing Digitized Archival Materials > Interacting with digitized archival materials in a Web browser fails to replicate the close engagement possible during in-person research. We are building Booksnake, a mobile app that transforms existing IIIF-compliant digitized archival materials for interaction in augmented reality. Booksnake dynamically inserts a digitized item into the live camera view on a mobile device, making it feel like the item is physically present and permitting embodied exploration. Level II funding will support development of a beta-stage prototype and evaluation of Booksnake as a humanities teaching tool in university and K-12 education. We will use the NEH-supported Chronicling America collection of digitized historic newspapers to build support for compound objects, which have multiple images linked to a single catalog record. By the end of the grant period, we will publicly release a working prototype, open-source code, technical documentation, and project results, supporting extensibility and reuse.",Digital Humanities Advancement Grants > Digital Humanities,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,New College of Florida,,United States,IIIF,Carrie Benes [Project Director]; Carrie Benes [Project Director],2023-10-01,2024-09-30,2023,12,2023,100000,USD,"100,000.00",https://apps.neh.gov/open/data/,,neh::RQ-292703-23,,"La sfera (The Globe): A Late Medieval World of Merchants, Maps, & Manuscripts > The La Sfera Project is a collaborative venture to complete an open-access multimedia edition of Goro Dati’s La sfera (The World), an early-fifteenth-century textbook in poetic form designed to introduce the merchants-in-training of late medieval Italy to the cosmos, the natural world, and Mediterranean geography. Against the modern misconception that medieval people believed the world was flat, La sfera articulates European perspectives on the world in the period before the “Age of Exploration.” The project will integrate a new critical edition of Dati’s treatise, an annotated English translation, IIIF manuscript images, and a cartographic interface to visualize geospatial data, along with materials to contextualize Dati’s work. Our digital edition will showcase the richness of Dati’s treatise and manuscripts by combining text, images, and maps in ways that a static print edition cannot—thereby crystallizing a crucial transitional moment between the Middle Ages and the Renaissance.",Scholarly Editions and Translations > Research Programs,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,ADJ,Indirect,National Endowment for the Humanities,https://ror.org/02vdm1p28,Public,Carnegie Mellon University,,United States,IIIF,Golan Levin [Project Director],2017-09-01,2020-02-29,2017,30,2017,72458,USD,"72,458.00",https://apps.neh.gov/open/data/,,neh::HAA-256249-17,,"Supporting Cultural Heritage Research in Historic Photography Archives with Machine Learning and Computer Vision > We address the challenges faced in the research and annotation of large digital image archives by creating prototype software tools that use machine learning and computer vision. Specifically, we are developing software tools to aid research into the Carnegie Museum of Art’s publicly available Teenie Harris Archive, a major photography collection documenting 20th century African American life in Pittsburgh. Our goal is to create open-source software that uses state-of-the-art techniques to help identify and annotate visually distinctive features across this large (80,000 item) set of digitized photographs, to improve and expedite the Museum's archiving and cataloging process. Through compatibility with International Image Interoperability Framework (IIIF) standards, our project will furthermore provide free tools and reproducible, computer-vision based workflows that other museums, libraries and archives can use to help organize their own digital collections.",Digital Humanities Advancement Grants > Digital Humanities,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,BSCS Science Learning,,United States,Creative Commons,Sherry Hsi,2020-10-01,2025-03-31,,,2020,3184247,USD,"3,184,247.00",nsf,,2053160,Empowering Informal Educators to Prepare Future Generations in Wireless Radio Communications with Mobile Resources,"<p>Wireless radio communications, such as Wi-Fi, transmit public and private data from one device to another, including cell phones, computers, medical equipment, satellites, space rockets, and air traffic control. Despite their critical role and prevalence, many people are unfamiliar with radio waves, how they are generated and interact with their surroundings, and why they are the basis of modern communication and navigation. This topic is not only increasingly relevant to the technological lives of today's youth and public, it is critical to the National Science Foundation's Industries of the Future activities, particularly in advancing wireless education and workforce development. In this project, STEM professionals from academia, industry and informal education will join forces to design, evaluate, and launch digital apps, a craft-based toolkit, activity guides, and mobile online professional learning, all of which will be easily accessed and flexibly adapted by informal educators to engage youth and the public about radio frequency communications. Experiences will include embodied activities, such as physically linking arms to create and explore longitudinal and transverse waves; mobile experiences, such as augmented reality explorations of Wi-Fi signals or collaborative signal jamming simulations; and technological exploration, such as sending and receiving encrypted messages.</P><br/> <P>BSCS Science Learning, Georgia Tech, and the Children's Creativity Museum (CCM) with National Informal STEM Education Network (NISE Net) museum partners will create pedagogical activity designs, digital apps, and a mobile online professional learning platform. The project features a rigorous and multipronged research and development approach that builds on prior learning sciences studies to advance a learning design framework for nimble, mobile informal education, while incorporating the best aspects of hands-on learning. This project is testing two related hypotheses: 1) a mobile strategy can be effective for supporting just-in-time informal education of a highly technical, scientific topic, and 2) a mobile suite of resources, including professional learning, can be used to teach informal educators, youth, and the general public about radio frequency communications. Data sources include pre- and post- surveys, interviews, and focus groups with a wide array of educators and learners.</P><br/> <P>A front-end study will identify gaps in public understanding and perceptions specific to radio frequency communications, and serve as a baseline for components of the summative research. Iterative formative evaluation will incorporate participatory co-design processes with youth and informal educators. These processes will support materials that are age-appropriate and culturally responsive to not only youth, with an emphasis on Latinx youth, but also informal educators and the broader public. Summative evaluation will examine the impact of the mobile suite of resources on informal educators' learning, facilitation confidence and intentions to continue to incorporate the project resources into their practice. The preparation of educators in supporting public understanding of highly technological STEM topics can be an effective way for supporting just-in-time public engagement and interests in related careers. Data from youth and museum visitors will examine changes to interest, science self-efficacy, content knowledge, and STEM-related career interest. If successful, this design approach may influence how mobile resources are designed and organized effectively to impact future informal education on similarly important technology-rich topics. All materials will be released under Creative Commons licenses allowing for widespread sharing and remixing; research and design findings will be published in academic, industry, and practitioner journals.</P><br/> <P>This project is co-funded by two NSF programs: The Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.</P><br/> <P>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</P>",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Bemidji State University,,United States,Creative Commons,Jeremy Leffelman,2016-09-15,2021-08-31,,,2016,2551618,USD,"2,551,618.00",nsf,,1600927,360 Manufacturing and Applied Engineering ATE Regional Center,"360 Manufacturing and Applied Engineering ATE Regional Center of Excellence (360 Center) addresses critical manufacturing workforce needs that are imperative to our nation's economic strength and national defense. The 360 Center team is comprised of 15 higher educational institutions (14 of which are 2-year colleges), manufacturing associations, and manufacturers. The Center uses SMART goals, including baseline measures, tied directly to the needs of the manufacturing industry to develop and expand technician education programs resulting in improved student learning, making manufacturing education programs more accessible, and leading to more individuals being qualified for employment in the manufacturing industry. The use of Creative Commons licenses and the archiving of materials with ATE Central will ensure that innovative best practices and discoveries have nationwide impact, as they will be broadly shared with the ATE network and other key stakeholders.<br/><br/>The 360 Center will expand and improve the 360 eTECH high school program; expand the 360 Advanced Manufacturing Education Mediated Telepresence model to meet technician education needs; develop a 360 Center Competency-Based Education model integrated into the 360 Seamless Career Pathway; develop and deploy 360 Advanced Skills curriculum and courses, aligning with the Career Pathway; expand Dream It! Do It! Minnesota recruitment strategies; and increase the number of females gaining new and improved manufacturing skills. Target audiences are secondary school students and teachers, parents, advanced manufacturing technicians, traditional and non-traditional students, and females.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,ADJ,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,American University,,United States,Creative Commons,Michael Carroll,2011-06-01,2012-05-31,,,2011,20000,USD,"20,000.00",nsf,,1137208,Workshop on Research and Resource Commons in Scientific Research,"A research or resource commons requires agreement among providers or participants about its legal structure, the technical requirements for common resources, and a shared understanding about how to sustain the commons. Legal issues, usually involving intellectual property or contract law, often arise as researchers, or research funders, seek to build commons or commons-based tools, such as Creative Commons licenses. There are three major objectives for the workshop to be held at American University. First, the attendees will review lessons learned from those who have worked to build or to promote the use of commons structures to support scientific research from within the federal government and from the private sector, including the non-profit sector. Next, the members will identify the legal, technical, and cultural requirements for a successful commons, with a particular focus on scientific data. The key themes will be the respective roles of standardization and interoperability at the legal and technical levels necessary for resources to be shared in a commons, whether those resources are literature, data, physical inputs, or others. Third, they will discuss how the federal government, the university and non-profit sector, and industry can best work together to support existing successful resource commons in science and to create new commons or commons-based tools to improve the speed and efficiency of publicly funded scientific research. Attention will be given to how existing commons standards, such as legal and technical tools supplied by Creative Commons, are currently being used in the sciences and how these might be made more useful with respect to emergent forms of scientific communication. The report of the workshop and all case studies developed will be made publicly available and published on the Internet.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Northwestern University,,United States,Creative Commons,Haoqi Zhang,2015-03-01,2019-02-28,,,2015,147536,USD,"147,536.00",nsf,,1464315,CRII: CHS: Remote Paper Prototype Testing for Mobile Applications,"The goal of this project is to establish a research program to enable mobile app designers to conduct user testing on low fidelity or paper prototypes in realistic environments. Mobile app usage now accounts for over half of all time spent on digital media. Current practice is that realistic testing of new apps tends to occur only after the development of high-fidelity prototypes, which can take weeks or months to implement. The PI will build and evaluate tools, and develop methodologies, for remote paper prototype testing that will enable designers to facilitate testing sessions from the lab while users remotely interact (via a Wizard-of-Oz mechanism) with a low-fidelity prototype that can be generated in just a few hours. The PI's goal is to accelerate mobile app development by making it possible for designers to observe and gather valuable feedback from users in realistic scenarios early in the design process; as a consequence, designers will be empowered to test multiple ideas and iterate on them quickly, with the potential for order-of-magnitude increases in the rate of innovation at lower cost in terms of both monetary and human resources. The PI will make his tools available to a wide community of researchers and design practitioners by releasing all software artifacts to the general public under open source and creative commons licenses, and by providing implementations that rely only on existing, off-the-shell technologies.<br/><br/>The PI will design, implement, and evaluate remote paper prototype testing tools that preserve and extend the affordances of paper prototyping to the mobile setting while supporting the design goals of testing mobile apps in realistic locations and situations of use, of facilitating a testing session and wizarding a paper prototype remotely, and providing location-based and situational context. For example, users will test a paper prototype out of the lab while a designer wizards from afar. A paper prototype placed under a video camera in the lab streams an audio-visual feed to the tester's mobile device, while a device on the user streams an audio-visual-data feed to the facilitator and wizard, including the user's first-person perspective, their talk-aloud, and other relevant data, such as their location. To operate the prototype from afar, a wizard responds to the user's actions and situational context based on the live stream from the user. Any alerts or updates to the prototype are streamed to the test user's mobile device. The PI will collaborate in this research within Northwestern University with the Segal Institute of Design, the Design, Technology, and Research program, Design for America, and the NUvention program. Effectiveness of the developed methods and tools will be evaluated through controlled experiments and field deployments. Project outcomes will contribute to our understanding of low-fidelity prototyping and wizard-based techniques for remote testing.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Washington,,United States,Creative Commons,James Carothers,2020-07-15,2021-12-31,,,2020,306500,USD,"306,500.00",nsf,,2032794,EAGER: Quantifying SARS-CoV-2 antigen-antibody binding using cell-free guide RNA display,"The lack of reliable and widely-available SARS-CoV-2 antibody testing has left many unanswered questions. For example, although it is known that SARS-CoV-2 specific antibodies appear within two weeks of someone becoming infected with the virus. However several factors are unknown, including a) the viral loads that generate antibody responses; b) how long SARS-CoV-2 antibodies last; or c) the amount of antibody needed for protection. The creation of low-cost, high-accuracy platforms for SARS-CoV-2 antibody analysis could therefore play a crucial role in tracking the spread of COVID-19, informing epidemiological responses, and supporting the development of diagnostics, treatments, and vaccines. This project will develop a low-cost alternative for rapidly measuring SARS-CoV-2 antibody binding. These systems could be used to measure SARS-CoV-2 antibody titers in patient samples and allow researchers to better model the spread and understand the disease course of COVID-19. The development of this customizable antibody detection platform will also make it easier to respond to future novel pandemics. In addition, the platform has substantial potential as a general research tool, as it could be used to detect a variety of antigen-antibody interactions. Broader impacts: The proposed system will provide a scalable, low-cost alternative to the ELISA that could be used to measure SARS-CoV-2-specific antibody titers in patient samples and facilitate efforts to model the spread and understand the etiology of COVID-19. Immediate broader impacts of the project also include i) unique opportunities for Ph.D. and undergraduate students to participate in use-inspired science and engineering, ii) engagement with diverse public audiences to communicate key ideas about the science of COVID-19 antibody testing, and iii) graphic materials about the science of COVID-19 antibody testing for use in public-facing events and sharing via social media that will be freely available under Creative Commons licenses.<br/><br/><br/>This project will develop a cell-free transcription and translation (TXTL) platform for measuring SARS-CoV-2 antigen-antibody binding with the quantitative precision of ELISA, and the easy customizability and scalability of a system that is entirely genetically-encoded. Recent work developed a programmable CRISPR-Cas transcriptional activation (CRISPRa) system for E. coli and TXTL that uses modified guide RNAs (gRNAs) to recruit a transcriptional activator. Here, the goal is to engineer CRISPRa as a platform for quantifying antigen-antibody binding by making CRISPRa activity conditional to the presence of IgG antibodies in a sample. It is straightforward to couple CRISPRa activity to visible outputs, and the system developed here could provide a scalable, low-cost alternative to ELISAs that permits the quantification of antibody titers using only DNA and TXTL master mix as reagents. Even more, because of the inherent multiplexing capabilities of CRISPRa, it will be possible to develop new diagnostics that produce a signal only upon detection of multiple antigens, resulting in lower false-positive rates. Intellectual merit: Developing scalable approaches to rapidly quantify antigen-antibody binding is a long-standing scientific and engineering challenge. By developing rules to couple antigen-antibody binding to CRISPRa-directed reporter gene expression, this project will create assays for measuring SARS-CoV-2 antigen-antibody binding using DNA-programmed cell-free platforms that are easy to customize and could be readily re-configured as point-of-care diagnostics. While there are a number of CRISPR-based tools that are being adapted to detect viral nucleic acids, the proposed system is comparatively unique as a sensor for protein antibody detection. <br/><br/>This EAGER award is made by the Systems and Synthetic Biology Program in the Division of Molecular and Cellular Biosciences, using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,University of Nebraska-Lincoln,,United States,Creative Commons,Kevin Lee,2022-07-01,2025-06-30,,,2022,299344,USD,"299,344.00",nsf,,2214481,Development and Research on Engaging Smartphone Simulations in Introductory College Astronomy,"This project aims to serve the national interest by improving students’ understanding of astronomy concepts. Each year over 300,000 students take introductory college astronomy, many of whom are not STEM majors. It is important for these students to understand the vital role that science plays in society. Active learning experiences using a set of twelve new smartphone simulations will be developed, focusing on topics commonly taught in introductory astronomy that are well suited for visualization. The simulations will contain embedded questions that instructors can assign to students. The project team will observe and characterize student usage of the simulations, solicit feedback from the students, and use the results to refine the simulations. Extensive research will be conducted to evaluate the impact of the simulations on students’ content knowledge and attitudes toward science. The simulations and project results will be widely disseminated through the astronomy education website at the University of Nebraska-Lincoln, journal articles, and workshops at professional conferences. All simulations will include Creative Commons licenses and made publicly available via the UNL astronomy education website.<br/><br/>The goal of this project is to help students learn astronomy concepts using simulations designed for their smartphones. The topics will include seasons and daylight hours, lunar phases, absorption spectra, blackbody spectra, sunspot rotation, star brightness, stellar evolution, spectroscopic binary stars, galactic rotation curves, the condensation sequence, tidal heating, and nuclear fusion in the sun. The project will address three research questions: 1) how does the use of smartphone simulations influence undergraduate students’ attitudes related to astronomy (and science in general)? 2) how does the use of smartphone simulations influence undergraduate students’ conceptual understanding related to astronomy? and 3) what affordances and constraints of smartphone-based simulations impact undergraduate students’ attitudes and conceptual understanding related to astronomy? The research will use a sequential embedded mixed methods design, where the quantitative phase will serve as the primary source of data collection, informing the qualitative phase. In the initial quantitative phase, surveys will be given early in the semester assessing student content knowledge garnered from simulation use and their attitudes toward astronomy and science in general. This data will establish baseline conceptual understanding and student attitudes towards astronomy. Analysis of these data will guide the subsequent qualitative data collection by informing the selection of participants for interviews. The interview protocol will focus on student attitudes towards astronomy and the value and relevance of using smartphone-based simulations while learning astronomy. The project team will develop a coding scheme to characterize the specific and general ideas contained within the data, analyze students’ coded responses, include collected classroom observations, and create hypothetical cases representing archetypes of various student viewpoints. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Purdue University,,United States,Creative Commons,Niklas Elmqvist,2013-02-01,2015-06-30,,,2013,149934,USD,"149,934.00",nsf,,1253863,CAREER: Ubilytics: Harnessing Existing Device Ecosystems for Anywhere Sensemaking,"This research project addresses the fundamental question of how we can use the existing ecosystem of networked devices in our surroundings to make sense of and exploit massive, heterogeneous, and multi-scale data anywhere and at any time. Assembling these devices into unified sensemaking environments would enable deep analysis in the field. Examples include managing heterogeneous data in scientific lab notebooks, scaffolding undergraduate classroom learning with examples, manuals, and videos, and supporting police investigation by linking facts, findings, and evidence. On a higher level, this concept would stimulate our digital economy by supporting fields such as design and creativity, command and control, and scientific discovery. However, despite this ready access to a myriad of handheld devices as well as those integrated in our physical environments, each individual device is currently designed to be the focus of attention, cannot easily be combined with other devices to improve productivity, and has limited computational and storage resources. This project introduces a comprehensive new approach called ubiquitous analytics (ubilytics) for harnessing these ever-present digital devices into unified environments for anywhere analysis and sensemaking of data.<br/><br/>Ubilytics draws on human-computer interaction, visual analytics, and ubiquitous computing as well as a synthesis of distributed, extended, and embodied cognition, based on three principles. First, universal interaction requires designing an interaction model that combines several devices into a holistic distributed interface, transparently bridges multiple devices, surfaces, and even physical objects, and unifies interaction with various data types. Second, flexible visual structures must be created in order to generate representations that adapt to varying device dimensions, resolution, viewing angle, and distance, support space and layout management in ego-centric and world-centric configurations, and can utilize both novel and appropriated displays for output. Third, efficient distributed architecture must be achieved through methods for discovering, merging, and synchronizing heterogeneous devices with support for a generic component model to facilitate reuse, offloading costly computation into the cloud, and meshing ubilytics environments for collaboration. <br/><br/>Sensemaking is often attributed to professional analysts finding meaning from observed data, but this research will take a comprehensive view of sensemaking for both casual and expert users, in both dedicated and mobile settings, and with both large-scale and small-scale datasets. This work will therefore benefit society by focusing on three example domains: (1) scientific discovery, (2) classroom learning, and (3) police investigation. It will also advance discovery and understanding by integrating the research in an undergraduate programming course used as a testbed for learning in ubilytics environments. Another goal is to broaden participation of underrepresented groups by engaging in a women in engineering program as well as by mentoring minority undergraduate students during summer research internships. Results, software, and documentation will be disseminated under Open Source and Creative Commons licenses.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,"University of Maryland, College Park",,United States,Creative Commons,Niklas Elmqvist,2014-08-31,2020-01-31,,,2014,420663,USD,"420,663.00",nsf,,1539534,CAREER: Ubilytics: Harnessing Existing Device Ecosystems for Anywhere Sensemaking,"This research project addresses the fundamental question of how we can use the existing ecosystem of networked devices in our surroundings to make sense of and exploit massive, heterogeneous, and multi-scale data anywhere and at any time. Assembling these devices into unified sensemaking environments would enable deep analysis in the field. Examples include managing heterogeneous data in scientific lab notebooks, scaffolding undergraduate classroom learning with examples, manuals, and videos, and supporting police investigation by linking facts, findings, and evidence. On a higher level, this concept would stimulate our digital economy by supporting fields such as design and creativity, command and control, and scientific discovery. However, despite this ready access to a myriad of handheld devices as well as those integrated in our physical environments, each individual device is currently designed to be the focus of attention, cannot easily be combined with other devices to improve productivity, and has limited computational and storage resources. This project introduces a comprehensive new approach called ubiquitous analytics (ubilytics) for harnessing these ever-present digital devices into unified environments for anywhere analysis and sensemaking of data.<br/><br/>Ubilytics draws on human-computer interaction, visual analytics, and ubiquitous computing as well as a synthesis of distributed, extended, and embodied cognition, based on three principles. First, universal interaction requires designing an interaction model that combines several devices into a holistic distributed interface, transparently bridges multiple devices, surfaces, and even physical objects, and unifies interaction with various data types. Second, flexible visual structures must be created in order to generate representations that adapt to varying device dimensions, resolution, viewing angle, and distance, support space and layout management in ego-centric and world-centric configurations, and can utilize both novel and appropriated displays for output. Third, efficient distributed architecture must be achieved through methods for discovering, merging, and synchronizing heterogeneous devices with support for a generic component model to facilitate reuse, offloading costly computation into the cloud, and meshing ubilytics environments for collaboration. <br/><br/>Sensemaking is often attributed to professional analysts finding meaning from observed data, but this research will take a comprehensive view of sensemaking for both casual and expert users, in both dedicated and mobile settings, and with both large-scale and small-scale datasets. This work will therefore benefit society by focusing on three example domains: (1) scientific discovery, (2) classroom learning, and (3) police investigation. It will also advance discovery and understanding by integrating the research in an undergraduate programming course used as a testbed for learning in ubilytics environments. Another goal is to broaden participation of underrepresented groups by engaging in a women in engineering program as well as by mentoring minority undergraduate students during summer research internships. Results, software, and documentation will be disseminated under Open Source and Creative Commons licenses.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,USE,Indirect,National Science Foundation,https://ror.org/021nxhr62,Public,Concord Consortium,,United States,Creative Commons,Sherry Hsi,2020-10-01,2020-10-31,,,2020,2279188,USD,"2,279,188.00",nsf,,2005784,Empowering Informal Educators to Prepare Future Generations in Wireless Radio Communications with Mobile Resources,"Wireless radio communications, such as Wi-Fi, transmit public and private data from one device to another, including cell phones, computers, medical equipment, satellites, space rockets, and air traffic control. Despite their critical role and prevalence, many people are unfamiliar with radio waves, how they are generated and interact with their surroundings, and why they are the basis of modern communication and navigation. This topic is not only increasingly relevant to the technological lives of today’s youth and public, it is critical to the National Science Foundation’s Industries of the Future activities, particularly in advancing wireless education and workforce development. In this project, STEM professionals from academia, industry and informal education will join forces to design, evaluate, and launch digital apps, a craft-based toolkit, activity guides, and mobile online professional learning, all of which will be easily accessed and flexibly adapted by informal educators to engage youth and the public about radio frequency communications. Experiences will include embodied activities, such as physically linking arms to create and explore longitudinal and transverse waves; mobile experiences, such as augmented reality explorations of Wi-Fi signals or collaborative signal jamming simulations; and technological exploration, such as sending and receiving encrypted messages. <br/><br/>The Concord Consortium, Georgia Tech, and the Children’s Creativity Museum (CCM) with National Informal STEM Education Network (NISE Net) museum partners will create pedagogical activity designs, digital apps, and a mobile online professional learning platform. The project features a rigorous and multipronged research and development approach that builds on prior learning sciences studies to advance a learning design framework for nimble, mobile informal education, while incorporating the best aspects of hands-on learning. This project is testing two related hypotheses: 1) a mobile strategy can be effective for supporting just-in-time informal education of a highly technical, scientific topic, and 2) a mobile suite of resources, including professional learning, can be used to teach informal educators, youth, and the general public about radio frequency communications. Data sources include pre- and post- surveys, interviews, and focus groups with a wide array of educators and learners. <br/><br/>A front-end study will identify gaps in public understanding and perceptions specific to radio frequency communications, and serve as a baseline for components of the summative research. Iterative formative evaluation will incorporate participatory co-design processes with youth and informal educators. These processes will support materials that are age-appropriate and culturally responsive to not only youth, with an emphasis on Latinx youth, but also informal educators and the broader public. Summative evaluation will examine the impact of the mobile suite of resources on informal educators’ learning, facilitation confidence and intentions to continue to incorporate the project resources into their practice. The preparation of educators in supporting public understanding of highly technological STEM topics can be an effective way for supporting just-in-time public engagement and interests in related careers. Data from youth and museum visitors will examine changes to interest, science self-efficacy, content knowledge, and STEM-related career interest. If successful, this design approach may influence how mobile resources are designed and organized effectively to impact future informal education on similarly important technology-rich topics. All materials will be released under Creative Commons licenses allowing for widespread sharing and remixing; research and design findings will be published in academic, industry, and practitioner journals.<br/><br/>This project is co-funded by two NSF programs: The Advancing Informal STEM Learning program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,ADJ,Indirect,The Wellcome Trust,https://ror.org/052csg198,Private,University of Cambridge,,United Kingdom,IIIF,Dr James Freeman,2022-05-23,2024-05-23,2021,731 days,2022,493456,GBP,"620,377.61",wellcome.org_360giving-export,,360g::360G-Wellcome-223661_Z_21_Z,Curious cures: enhancing the discoverability of medieval medical recipes,"This two-year, collaborative project will open up to health researchers worldwide 187 medieval manuscripts containing medical recipes across Cambridge collections, and the currently inaccessible corpus of approximately 8000 Latin and Middle English medical recipes that they contain.
A combined programme of manuscript digitisation, cataloguing and conservation will provide multiple points of entry. Researchers will see recipes in their original form: through high-resolution images viewable via the Cambridge Digital Library (CUDL), and medium-resolution images available for free download and reuse via CUDL and International Image Interoperability Framework (IIIF) manifests.
Fully searchable XML descriptions of the manuscripts’ contents, physical characteristics, and histories will be published alongside, revealing the intellectual and material contexts in which these texts were circulated and received. Adhering to interoperable TEI guidelines, these descriptions will facilitate cross-collection discovery, building strong links with comparable manuscripts in Oxford and Manchester.
Hyperdiplomatic transcriptions, created using Transkribus, will provide a level of detail unmatched by existing finding aids, enabling keyword searching and granular, computational analysis of the recipes. The project will empower other organisations to undertake similar work with their collections by creating a robust and extensible methodology, and disseminating it through a website, workshops and symposium for researchers, curators and libraries.
",Research Resources Award,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,STRAT,Direct,UK Research and Innovation,https://ror.org/001aqnf71,Public,National Gallery,,United Kingdom,IIIF,,2020-02-01,2022-04-29,,,2020,220164,GBP,"287,388.36",openaire,,ukri________::77c00c370d9d15cba48e4631b70a5bdf,Practical applications of IIIF as a building block towards a digital National Collection,"Even more than text, images are critical in engaging (digital) audiences with cultural heritage, to illustrate stories, present collections, explore old manuscripts and documents, or illuminate colourful parts of our history. Presenting or sharing small groups of images is technologically straightforward, but as the quality, size and quantity of images increase, implementation and delivery rapidly becomes more complicated. For example, it can be problematic and costly to download gigabyte-sized images on a mobile network. The complexity increases as users combine images from different institutions or countries. There are also many IPR and technological concerns when memory institutions are asked to provide high resolution copies of their images for collaborative projects. The International Image Interoperability Framework (IIIF) continues to be developed to help solve these and many more issues. It provides a standard framework for institutions to present their own content in a consistent, trackable manner, using freely available software. IIIF resources from multiple institutions can be virtually combined (without sending images to each other) to provide shared presentations, allowing users to explore huge zoomable images on different devices without needing to copy or download whole images. However, though well described, setting up and re-using IIIF resources can still be complex, particularly for smaller institutions or individual researchers. In addition, better understanding of how to deploy IIIF to combine virtual collections across institutions and how to support more diverse audiences is needed. This research project will assess current use of IIIF systems across the sector and gather requirements and ambitions for further development via a series of targeted workshops and surveys. These will be used to produce a landscape report and to inform the design and development of a small selection of working IIIF technology pilot demonstrations. A: Working with and presenting datasets and research outputs from different institutions, focusing on resources created within a separate ongoing research project on Tudor/Jacobean portraits. B: Examining how IIIF resources can be used as supplementary information to support and enrich online publications or exhibitions. C: Demonstrating how individual non-technical researchers can create new aggregated IIIF presentations based on existing resources (overcoming a significant barrier to its adoption). This work will involve specific user analysis, with different potential use communities, in order to feed user needs and feedback into the resulting report. The project will also explore what new IIIF tools/services are needed in the sector and how they might be created, used and maintained. An important premise is to involve both tech and non tech people, to develop use cases as well as defining tools.
Workshops
1: Showcase and discuss current best practice. Explore how IIIF resources are currently used for research and public engagement (and by whom), identify available resources/tools, and how people would like to use these in the future.
2: Discuss the potential of shared IIIF services. Explore what IIIF related services are available or could be useful/required for institutions or researchers new to IIIF to present public/private images via IIIF, considering shared image repositories, improved image servers, training & knowledge requirements etc.
3: Developing practical IIIF solutions. A practical workshop and discussion designed to create working examples of aggregating, using and presenting IIIF resources, and develop use cases showing how end users can exploit these tools.
4: Towards a National Collection: Developing a road map for the future. A shared workshop bringing together work from the proposed PID and Linked data projects and others, to develop a clear proposal of how the outcomes of these might be used in developing and maintaining a digital National Collection",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,British Library,,United Kingdom,IIIF,,2022-02-14,2022-07-12,,,2022,95072,GBP,"128,503.91",openaire,,ukri________::11186a7aef06ea95d4795d59a54f0060,Scoping a Data Service for Complex 3D Data in the Arts and Humanities,"This project will address an existing gap to support researchers and practitioners communities working with complex 3D data, including data related to material and digital cultures, to enhance the national data services for arts and humanities. This existing gap is rapidly growing as digitisation hardware and tools become more accessible for arts and humanities researchers to use within the research process. Examples of data include 3-dimensional (3D) data resulting from born-digital materials and systems (i.e. Virtual Reality environments), as well as processes such as 3D modelling, structure from motion, (also known as photogrammetry), 3D scanning. It also includes other imagery resulting from non-invasive digital imaging such as computerised tomography (CT), multi and hyperspectral imagery, pigment analysis, and optical microscopy. As such, there is an urgent need to provide community-led services, as opposed to private industry tools, for researchers to use.
The research will use a collaborative and interdisciplinary approach to investigate and address the needs of current and future researchers. Hence, the project will be community-led with interdisciplinary academics and practitioners leading the various activities. Institutions involved include the University of Brighton, Kings College London, University College London, University of the West of England, University of Cambridge, University of Edinburgh, University of Dundee, Duke University (US), The National Archives, Historic Environment Scotland, British Library, Victoria and Albert (V&A) Museum, and the International Image Interoperability Framework (IIIF)-3D community.
Five activities will be co-developed by this team including establishing user requirements, evaluating existing solutions, in particular the MorphoSource 3D repository, financial planning, developing of the specification as well as communicating and disseminating with stakeholders the various projects activities and outputs.
The outcome of the research will be a published fully costed specification for design and develop an innovative interoperable Trusted Data Repository and Service (TDRS) that will provide enhanced capabilities for research using complex 3D data and for putting research outputs into practice within various sectors, including the GLAM and creative industries. The project will also identify skills and capacity building required by the community.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,Cardiff University,,United Kingdom,IIIF,,2022-03-01,2025-02-28,,,2022,716013,GBP,"959,555.42",openaire,,ukri________::d460d7797279e1ac727fd32a3feb58b3,An Edition of the Welsh Merlin Poetry,"This project will create an online edition and translation of the Welsh poetry attributed to Merlin surviving in manuscripts before 1800. We will produce new, detailed studies of the relationships between these poems and the broader Merlin tradition, and of how the Welsh poems develop over time. The corpus to be edited consists of c. 102 poems of c. 4450 lines in total in c. 519 manuscript copies. This includes seven major early poems (c. 980 lines) extant in medieval manuscripts, as well as c. 95 later poems surviving from the early modern period, which often adapt and echo the earlier verse.
Welsh poetry is an important source for the internationally renowned Merlin legend. Geoffrey of Monmouth, who spread the Arthurian tradition throughout Europe, appears to have drawn on Welsh poetic sources. Despite their importance, the Welsh Merlin poems remain largely unedited. This means researchers in Arthurian studies are currently unable to access these works, let alone assess their significance in a broader international context. By editing all this poetry for the first time and making it freely available, this project will enable Arthurianists to engage with these texts in detail. The new diachronic and comparative studies undertaken in the project will also greatly advance the field. The public and the education sector will have unprecedented access to these fascinating works, and a section of the edition website aimed at schools will highlight Merlin traditions and their relevance to Wales, Britain, and beyond.
The poetic corpus will be presented in a freely-accessible online edition. This will include the edited texts with manuscript transcriptions and corresponding images (served via IIIF technology), introductions, commentary, textual notes, and translations, ensuring maximum accessibility. We will make the templates and models used to create our text edition platform openly available to ensure that such editorial projects are easier to produce in future and that this project has a productive legacy.
In addition to producing this edition, the project will study the links between the Welsh Merlin poems and broader Arthurian tradition. We will produce a new comparative study of Geoffrey of Monmouth's work (especially his Vita Merlini) and early Welsh Merlin poems, illuminating the relationship between them. This comparative study is crucial in enabling scholars to view the Welsh poems in a broader European context and to cross traditional disciplinary boundaries, bringing the Welsh texts to the core of international Arthurian studies.
As well as being cross-cultural, our approach will be cross-period. Producing this edition, which is innovative in encompassing both the earliest Merlin poetry and later verse, will enable us to advance research into how Merlin verse developed over time and was shaped by contemporary interests, as when deployed by early modern Welsh historians. It will also revolutionize approaches to Welsh literary history, highlighting how early Welsh poetry develops into early modern "free verse", thereby creating new avenues for teaching and studying Welsh literature across traditional period boundaries.
We will hold numerous public outreach events, working with schools and heritage organizations. We aim to impact school curricula by highlighting to schools and teachers how the project resources could be used by them and how certain texts could be deployed for the first time in the Welsh A-level syllabus. We aim more broadly to change public perceptions of Merlin by highlighting his close connections with Wales and Welsh literature, including sites like Carmarthen (traditionally interpreted as 'Merlin's Fortress') and the Brittonic 'Old North' of northern England and southern Scotland.
The project will provide significant new advances in the study of Welsh literature and Arthurian tradition, reframing the field of Arthurian studies and enabling new interdisciplinary research opportunities.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Cambridge,,United Kingdom,IIIF,,2021-02-12,2023-08-10,,,2021,202667,GBP,"279,636.26",openaire,,ukri________::0245ec83f1a00830a14a084e3d48c721,Digital approaches to the capture and analysis of watermarks using the manuscripts of Isaac Newton as a test case,"This project will investigate two research areas with general application in digital humanities scholarship, using the dispersed manuscript corpus of Isaac Newton as a test case. The immediate purpose of the test case will be to use artificial intelligence to assist with the identification and classification of watermarks in Newton material and, in the process, to build a general tool to assist with the organisation and dating of manuscripts. The project also has much wider significance. The project's first stage will be the methodological investigation of techniques for the production of images of watermarks which are suitable for automated analysis, using both new photography and the exploration of the potential latent in existing images. During the second stage, we will develop computer vision methods to systematically cluster and match the assembled corpus of watermark images across manuscripts and collections. Methods developed through this project will be transferrable to watermark collections beyond that of Newton's corpus, creating a methodology for scholars seeking to analyse, date, and organise historical collections via watermark matching, and for conservators seeking to establish standardised surveying and documentation methods while imaging and digitising watermarked documents. A final stage of the project will allow us to disseminate our findings through research workshops, web tools, and improvements to online databases, as well as traditional publications in journals.
Since the groundbreaking early twentieth-century research of Charles Moïse Briquet, watermarks have formed a central part in the dating of otherwise undated manuscripts. Briquet's monumental 1907 catalogue, Les filigranes, made it possible, in principle, to date (and to some extent localise) pre-1600 watermarks found by researchers in manuscripts by reference to exemplars in Briquet's catalogue. While this catalogue and others have been digitised thanks to the Bernstein consortium (https://memoryofpaper.eu/), advances in research and technology have revealed the limitations of the traditional approach, which requires time-consuming procedures and some degree of expertise for the identification of each single watermark. It is very difficult to find exact matches between watermarks in situ and those reproduced in any catalogue, first due to the limited comprehensiveness of the catalogues, and, second, because each individual watermark is produced in two "twin" versions, never perfectly identical, and suffers deformation over time as a result of repeated use in the paper manufacturing process. By developing and enhancing new approaches and techniques to improve the acquisition and analysis of watermarks, we hope to solve basic problems and thereby provide benefit to all who must rely upon paper documents for chronological evidence.
While computer vision has made significant progress in recent years thanks to machine learning and artificial intelligence, this project will build on cutting-edge work already undertaken by the Ecole Nationale des Chartes and its partners (notably the computer scientists at École des Ponts ParisTech) to investigate the problem of matching images, specifically of watermarks, across formats (photographs and tracings). In creating a corpus of images used to train and develop the open source software created by the Ecole des Chartes we will build on recent work by The National Archives (TNA) to use comparatively affordable equipment and techniques to produce images of watermarks that are highly suitable for machine analysis. The project will develop and apply both of these approaches in order to attempt to enhance the computer-vision software so that it may be able to unlock the latent information held in thousands of existing images shot in reflected light which institutions have already digitised and made accessible through IIIF.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,COMM,Direct,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Glasgow,,United Kingdom,IIIF,,2020-07-31,2023-01-31,,,2020,24074,GBP,"31,673.43",openaire,,ukri________::80a4c4fa8850f976b03b43d49ff4bfc7,IIIF for Research (IIIF4R) Network,"This research network will investigate the potential for innovative forms of scholarly discussion and interchange offered by the International Image Interoperability Framework (IIIF). IIIF enables much easier sharing, annotation and manipulation of digital images from libraries, archives, galleries, and museums across institutional and national boundaries, and offers researchers exciting new possibilities for joint analysis, documentation and discussion of primary materials. IIIF has been one of the most successful digital humanities initiatives of recent years and has been adopted by a wide range of heritage institutions across the world, including the Vatican Library, the Bibliothèque Nationale de France, the British Library, the Digital Repository of Ireland, and the National Libraries of Wales and Scotland. Major libraries of historic manuscripts, such as the Parker Library at the University of Cambridge and the Durham Priory Library, are being made available in their entirety using IIIF. IIIF-compliant browsers such as Mirador enable images from collections in different countries to be compared side-by-side at very high magnification, offering the prospect of easily creating large trans-national collections of images of manuscripts and other primary materials. IIIF browsers also support user annotation of images, thereby potentially fostering the emergence of new forms of scholarly presentation and shared commentary on primary materials and artefacts. Some of the possibilities have already been demonstrated by scholars such as Jeffrey C. Witt of Loyola University, who has used IIIF to generate image-based scholarly editions.
The objectives of this research network are to organise four workshops at Glasgow, Durham, Dublin and Aberystwyth which will build a dialogue between arts and humanities researchers, curators and information professionals intended to develop research-driven agendas for the deployment and development of IIIF to investigate a wide range of primary materials and archives relevant to humanities research domains. The workshops will build on acknowledged leadership in development and promotion of IIIF in both the United Kingdom and Ireland. They will demonstrate the many different ways in which IIIF supports innovative analysis and commentary on the various types of source material used by arts and humanities researchers. They will document user cases where the facilities offered by IIIF are valuable in addressing particular research questions. Reports and presentations from the workshops will be made available to facilitate future development of IIIF and to encourage scholarly engagement with the potential of IIIF. The workshops will also be used to develop larger-scale projects making use of IIIF, including it is hoped projects suitable for funding in future UK-Ireland joint funding calls.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
openaire,USE,Indirect,UK Research and Innovation,https://ror.org/001aqnf71,Public,University of Exeter,,United Kingdom,IIIF,,2021-09-30,2024-09-29,,,2021,0,GBP,,openaire,,ukri________::6403f9d089cd17112da4adec31d5ab05,"Research-based 3D modelling of Renaissance built environments: workflow, uncertainty and standards","We seek to recruit and train a PhD student that will work in the field of 3D digital reconstruction, and its associated methods and standards. The project will develop and apply innovative methodologies to examples relating to the art and architecture of Renaissance Florence connecting with the National Gallery collections, most likely one or more artworks originally produced (c. 1400-1550). It will be delivered in parallel to an ongoing collaboration between the National Gallery and Prof. Nevola's 'Immersive Renaissance' project (funded by the Getty Foundation, through its Digital Art History initiative).
The PhD project has a core focus on the technical application of 3D modelling to heritage and museums contexts, built around key case examples centred on selected works in the National Gallery, to reconstruct their original settings and
environment. The candidate will adopt and further develop the workflow that has been developed for research-based modelling as part of the Florence4D project; particular attention will be given to establishing standards for the application of
IIIF to 3D models and going beyond the specific technical task to develop and resolve some of the research questions that arise from the process. The project case examples focus on artworks originally produced in Florence, framing these
through spatial digital technologies, primarily interoperable 3D modelling. It should be noted that the project is 'covid-proof' in that much of the necessary data collection (in the form of high resolution lidar scans and photogrammetry) has already been conducted, meaning that desk-based work can begin from the outset.
Two likely case examples will form the basis for a significant contribution to the art-historical scholarship, and to the existing knowledge on major works in the National Gallery collections: Filippino Lippi altar for the Rucellai chapel at San Pancrazio (https://www.nationalgallery.org.uk/paintings/filippino-lippi-the-virgin-and-child-with-saints-jerome-and-dominic) and the 'Camera terrena' of the Palazzo Medici including paintings in the National Gallery collection: Paolo Uccello, 'Battle of San Romano' (https://www.nationalgallery.org.uk/paintings/paolo-uccello-the-battle-of-san-romano). The underpinning art historical research for these is underway in ongoing research conducted by theFlorence4D project, and necessary scan data was collected in October 2020. The research data will be structured in an OmekaS database using a CiDOC-CRM ontologies, allowing the student to directly work on methodologies for linking underpinning data to the 3D models produced.
This project will be conducted as a collaboration with the National Gallery on account of the Gallery's unrivalled collection of relevant artworks and the potential of extending the contextualized understanding of these through research-based digital visualisation. We would also welcome the student developing possible connections with the other CDP institutions, the Bowes Museum and York Museums Trust, as both have Italian holdings in their collections. This could perhaps relate to the development of a simplified workflow for a virtual 3D room, populated with collections objects, for the purposes of visualisation for visitors. There is also potential for exploring the extension of these model through redeployment to a
3D/AR app platform as a replicable public-facing output.
The activity will build on growing activity the National Gallery is involved in through digital approaches to research and audience engagement, while also developing the skills of the PhD student and extending the digital art history capacity and expertise at the University of Exeter.",,"Standard, specification, or protocol",,,"Standard, specification, or protocol, , "
oic_scrape,RD,Direct,National Science Foundation,https://ror.org/021nxhr62,Public,Johns Hopkins University,,United States,Public Access Submission System,Golam Choudhury,2019-10-01,2021-09-30,,,2019,247601,USD,"247,601.00",nsf,,1939291,EAGER: Open Infrastructure to Reduce Burden on Researchers and Federal Agencies,"Johns Hopkins University, in partnership with six other institutions, proposes to design a set of recommendations, use cases, specifications, and workflows that will transform the deposit of manuscripts into federal agency repositories, thereby reducing burden on researchers, universities, and federal agencies. This early exploratory research undertakes to develop solutions for issues that arise when projects are multi-institution, federal agency workflows are vastly different, and the integrity of information is critical. As research becomes increasingly convergent, there is a major risk of an increasingly complex environment for investigators, universities, and funding agencies. By binding grants or award data to primary research objects such as articles, data, or software, the proposed research represents an important step toward data analytics on researcher and university productivity and collaboration. The proposed work has the potential to positively impact every university that receives federal funding and every federal funding agency with a public access compliance policy.<br/><br/>An early implementation of the PI's Public Access Submission System (PASS) system has been shown to work with the NIH PubMed Central. But scaling beyond PubMedCentral requires exploratory research such as to establish the logic for simultaneous submission of a publication to multiple federal grant repositories and institution repositories. Research questions include how a third-party applications such as the PASS system, manage cross-institutional grants data, identities, and deposit workflows.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",,Submission system,,,"Submission system, , "