RDA for Artificial Intelligence (AI) Cross-fertilisation Meetings Summary
Authors/Creators
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Clare, Connie
(Project leader)1
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Anderson, Lindsey
(Project manager)2
- Radotic, Trish (Project manager)1, 3
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Anthony, Winston E.
(Project member)4
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Buendia, Patricia
(Project member)5
- Cannon, James (Project member)6
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Castro, Leyla Jael
(Project member)7
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Chandramouliswaran, Ishwar
(Project member)8
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Christiansen, Jeff
(Project member)9
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Cook, Tim
(Project member)
- et al. Show all 42 authors
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Clare, Connie
(Project leader)1
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Anderson, Lindsey
(Project manager)2
- Radotic, Trish (Project manager)1, 3
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Anthony, Winston E.
(Project member)4
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Buendia, Patricia
(Project member)5
- Cannon, James (Project member)6
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Castro, Leyla Jael
(Project member)7
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Chandramouliswaran, Ishwar
(Project member)8
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Christiansen, Jeff
(Project member)9
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Cook, Tim
(Project member)
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Eklund, Lars
(Project member)10
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Erdmann, Christopher
(Project member)11
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Garcia, Marcelo
(Project member)12
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Genova, Francoise
(Project member)13
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Goins, Meredith
(Project member)14, 15
- Gu, Jennifer (Project member)16
- Gururaj, Anu (Project member)17
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Hanahoe, Hilary
(Project member)18
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Heffer, Joe
(Project member)19
- Huang, Rachel (Project member)20
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Jasinska, Agnes
(Project member)21
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Jones, Nick
(Project member)22
- Juehne, Anthony (Project member)23
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Kim, Seonyoung
(Project member)24
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Levinson, Cory
(Project member)25
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Mathiak, Brigitte
(Project member)26
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Nyberg Åkerström, Wolmar
(Project member)27
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O'Connor, Ryan
(Project member)
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Rorro, Marco
(Project member)28
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Sands, Ashley E.
(Project member)29
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Shan, Pengyin
(Project member)30
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Shanahan, Hugh
(Project member)31
- Stoka, Veronika (Project member)32
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Tenhunen, Ville
(Project member)33
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Treloar, Andrew
(Project member)34
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Tykhonov, Vyacheslav
(Project member)35
- Uzwyshyn, Raymond (Project member)36
- Varfolomeeva, Irina (Project member)1
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Wilkinson, Sean
(Project member)37
- Williams, Natalie (Project member)38
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Wood-Charlson, Elisha M.
(Project member)39
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Wu, Mingfang
(Project member)3
- 1. Research Data Alliance
- 2. Pacific Northwest National Laboratory Biological Sciences Division
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3.
Australian Research Data Commons
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4.
Pacific Northwest National Laboratory
- 5. Lifetime Omics
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6.
University of Michigan
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7.
ZB MED - Information Centre for Life Sciences
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8.
National Institutes of Health
- 9. Australian BioCommons
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10.
Uppsala University
- 11. Frontiers
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12.
King Abdullah University of Science and Technology
- 13. Strasbourg Astronomical Observatory
- 14. World Data System
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15.
University of Tennessee at Knoxville
- 16. The Hong Kong University of Science and Technology
- 17. National Institute of Allergy and Infectious Diseases (NIAID)
- 18. Research Data Alliance Foundation
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19.
University of Sheffield
- 20. Inter-university Consortium for Political and Social Research (ICPSR), University of Michigan
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21.
University of Edinburgh
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22.
University of Auckland
- 23. Center for Translational Data Science (CTDS), University of Chicago
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24.
Washington University in St. Louis
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25.
University of California, Davis
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26.
GESIS - Leibniz Institute for the Social Sciences
- 27. Science for Life Laboratory (SciLifeLab)
- 28. EGI foundation
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29.
Johns Hopkins University
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30.
University of Illinois Urbana-Champaign
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31.
Royal Holloway University of London
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32.
Jožef Stefan Institute
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33.
EGI
- 34. Independent DRI Consultant
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35.
Committee on Data of the International Science Council
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36.
University of California, Riverside
- 37. Oak Ridge National Laboratory
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38.
Digital Research Alliance of Canada
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39.
KBase
Description
The RDA Secretariat and RDA-US hosted two virtual ‘AI Cross-Fertilisation Meetings’ this September, connecting RDA AI-related groups and Birds of a Feather (BoF) sessions ahead of the 27th Plenary Meeting (P27) in London. Meeting 1 (8 September) focused on trust, governance, and standards for AI agents in research workflows; Meeting 2 (10 September) covered FAIR and AI-readiness across the technical stack. Each ran a series of 5-minute lightning pitches followed by structured discussion, with recordings and notes shared. This infographic summary provides an overview of the synergies and collaboration opportunities identified, as well as the gaps and needs to be addressed by the global RDA community going forward.