Curriculum Vitae

Prof. David Garcia

e-mail: david.garcia@uni.kn
Professor for Social and Behavioral Data Science at the University of Konstanz
Also affiliated with CSH Vienna, TU Graz, and ETH Zurich

ResearcherID: A-2113-2014
ORCID: 0000-0002-2820-9151
Scopus: 56817130300

Google Scholar Profile

Research Experience

  • Since 2022: Professor for Social and Behavioral Data Science – University of Konstanz
    Center for Data and Methods, Department of Politics and Public Administration
    Member of the Extended Directorate of the Centre for HUMAN | DATA | SOCIETY
    Principal Investigator and Board Member of the Cluster of Excellence Politics of Inequality
    Principal Investigator of the Centre for the Advanced Study of Collective Behavior
  • 2024, 2025: Visiting professor at the Barcelona Supercomputing Center
  • Since 2017: Associate Faculty at the Complexity Science Hub Vienna
  • Since 2018: External faculty (privatdozent) – ETH Zurich
  • Since 2023: External faculty (privatdozent) – TU Graz
  • 2020 – 2023: Full Professor for Computational Behavioral and Social Sciences
    Faculty of Computer Science and Biomedical Engineering
  • 2017 – 2022: Group leader – Medical University of Vienna and CSH Vienna
    Leading a Vienna Research Group funded by the WWTF
  • 2015 – 2017: Senior researcher – ETH Zurich
    Research on emotions and polarization in participatory media, funded by the Swiss SNF
  • 2012 – 2014: Postdoctoral researcher – ETH Zurich 
    Research on digital traces of emotions, privacy, and resilience in social media
  • 2009 – 2012: Research Assistant – Chair of Systems Design
    Research funded by the EU FP7 project Cyberemotions
  • 2008 – 2009: Research Assistant – Network Visualization
    Developer of Cuttlefish a graph visualization project Java
  • 2008: Master Thesis and Research Assistant – Computer Science at ETH Zurich
    Analysis of higher-order structures of equilibrium networks, supervised by Prof. Peter Widmayer
  • 2006 – 2007: Student Internship, Knowledge Engineering Institute UAM
    Development of machine learning systems for fraud detection

Education

Awards

  • WWTF Vienna Research Groups for Young Investigators 2016 (1.6 Million Euro)
  • Publons Sentinels of Science award for outstanding service, 2016
  • Research on social resilience listed in MIT Technology Review Best of 2013
  • 1st prize in the 6th and 8th ETH Science Slams and in the Zurich Euraxess Slam
  • ETH Zurich: Tuition scholarship for international students, 2008
  • Comunidad de Madrid: University access (2003) and Excellence Scholarships (2004 and 2005)

Editor Service

  • Since 2025: Editor in Chief, EPJ Data Science, since 2025
  • 2018-2024: Associate Editor of EPJ Data Science,
  • Since 2017: Senior Program Committee member/Associate editor of ICWSM
  • Guest editor of Proceedings of the National Academy of Sciences (2020) and of PLOS One (2018)

Selected Review Service

  • Reviewer for interdisciplinary journals including Nature (2021 – 2023), Science (2016), PNAS (2019 – 2023), Nature Communications (2015), Science Advances (2016), Royal Society Interface (2015)
  • Reviewer for computer science journals including Comm. of the ACM (2017), Future Generation Computer Systems (2019), ACM Trans. on the Web (2015), EPJ Data Science (2014 – 2018), Information Sciences (2016), Semantic Web Journal (2016), JMIR (2017 – 2023)
  • Member of the program committee of conferences including The Web Conference / WWW, KDD, SocialCom, HyperText, ICWSM, and Web Science
  • Reviewer for psychology journals including Nature Human Behavior (2018 –), Social Psychological and Personality Science (2019 –), Journal of Experimental Psychology: General (2016)
  • Reviewer for political science journals including Electoral Studies (2019), Political Communication (2016), Policy and Internet (2013-2015)

Selected Organization of Scientific Events

Academic and Research Service

  • Since 2022: Member of the GESIS Coordination Group for Digital Behavioral Data
  • 2021-2022: Chair of Curriculum Commission at TU Graz. Masters Programme in Computational Social Systems. Appointed by the Department of Computer Science and Biomedical Engineering

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