Report Open Access

Visualisations of key emerging technologies and social issues I

Kristóf Gyódi; Łukasz Nawaro; Michał Paliński; Maciej Wilamowski


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.5796225</identifier>
  <creators>
    <creator>
      <creatorName>Kristóf Gyódi</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2999-8444</nameIdentifier>
      <affiliation>University of Warsaw</affiliation>
    </creator>
    <creator>
      <creatorName>Łukasz Nawaro</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1995-4894</nameIdentifier>
      <affiliation>University of Warsaw</affiliation>
    </creator>
    <creator>
      <creatorName>Michał Paliński</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0075-3585</nameIdentifier>
      <affiliation>University of Warsaw</affiliation>
    </creator>
    <creator>
      <creatorName>Maciej Wilamowski</creatorName>
      <affiliation>University of Warsaw</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Visualisations of key emerging technologies and social issues I</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>Human-centric, future, technology, data-driven, policy, collective intelligence, news</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-12-21</date>
  </dates>
  <resourceType resourceTypeGeneral="Report"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5796225</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5796224</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ngi_forward</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The major aim of this empirical analysis is to provide tools to map and explore the most important social challenges and emerging technologies. The report presents a methodology that can be implemented for various topics and sources, enabling a data-driven agenda setting for policy, with problem recognition, definition and selection.The text mining analysis is based on a novel dataset of technology news articles and academic working papers.&amp;nbsp;Using web-scraping tools, more than 213 thousand articles, and more than 139 thousand working papers were collected. The sources include 14 major English-language technology websites from the US, EU and Australia, and 2 working paper repositories, covering both social and STEM (science, technology, engineering, and mathematics) sciences.&amp;nbsp;The data has been collected for a period of 40 months (between 2016-01-01 and 2019-04-30).&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;To demonstrate the potential of the methodology, deep dives are prepared for 8 umbrella topics, chosen from the most trending technologies and issues:&lt;/p&gt;

&lt;p&gt;● Artificial intelligence and machine learning&lt;/p&gt;

&lt;p&gt;● Internet of Things&lt;/p&gt;

&lt;p&gt;● Blockchain and cryptocurrencies&lt;/p&gt;

&lt;p&gt;● Quantum computing&lt;/p&gt;

&lt;p&gt;● Internet regulation&lt;/p&gt;

&lt;p&gt;● Social media and content crisis&lt;/p&gt;

&lt;p&gt;● Market competition&lt;/p&gt;

&lt;p&gt;● Chinese tech sector&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/825652/">825652</awardNumber>
      <awardTitle>NGI FORWARD</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
75
35
views
downloads
All versions This version
Views 7575
Downloads 3535
Data volume 161.0 MB161.0 MB
Unique views 6363
Unique downloads 2727

Share

Cite as