Credit: Anna Logue
Frederic Gerdon
Year: 2019
Center: Social Sciences
Supervisor: Frauke Kreuter
Frederic Gerdon is a researcher associated with the Chair for Statistics and Methodology and works on a project investigating the impact of artificial intelligence (automated decision-making) on solidarity and social inequality, drawing on real-life applications. He holds a Bachelor's degree in Sociology (minor Political Science) from the Johannes Gutenberg University Mainz (2013–2017) and a Master's degree in Sociology from the University of Mannheim (2017–2019). Furthermore, he spent a study semester at the University of Vienna, Austria. Since his undergraduate studies, he has been working as a student research assistant at three chairs, involving various projects on social stratification, cultural sociology, international relations, and survey methodology. In his Master's thesis, he conducted a factorial survey experiment (“vignette study”) to investigate the context dependence of privacy norms, showing how the perceived appropriateness of data transmissions may vary with the interaction of situational characteristics (e.g. data type, recipient, and data use).
Research interests:
- Impact of digitization on society (solidarity, inequality, political and social participation)
- Political sociology
- Social stratification research
- Privacy research
Publications
2022
- Gerdon, F., Bach, R. L., Kern, C. & Kreuter, F. (2022). Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data & Society, 9(1), 1–13. https://doi.org/10.1177/20539517221089305
- Kern, C., Gerdon, F., Bach, R. L., Keusch, F. & Kreuter, F. (2022). Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns, 3(10), 1–13. https://doi.org/10.1016/j.patter.2022.100591
- Silber, H., Gerdon, F., Bach, R. L., Kern, C., Keusch, F. & Kreuter, F. (2022). A preregistered vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers. Politics and the Life Sciences : PLS, 41(2), 161–181. https://doi.org/10.1017/pls.2022.15
2021
- Bauer, P. C., Gerdon, F., Keusch, F., Kreuter, F. & Vannette, D. L. (2021). Did the GDPR increase trust in data collectors? Evidence from observational and experimental data. Information, Communication & Society : ICS, 25(14), 2101–2121. https://doi.org/10.1080/1369118X.2021.1927138
- Gerdon, F., Nissenbaum, H., Bach, R. L., Kreuter, F. & Zins, S. (2021). Individual acceptance of using health data for private and public benefit: Changes during the COVID-19 pandemic. Harvard Data Science Review : HDSR, 3(Spec. Iss. 1), 1–27. https://doi.org/10.1162/99608f92.edf2fc97
2020
- Altmann, S., Milsom, L., Zillessen, H., Blasone, R., Gerdon, F., Bach, R. L., Kreuter, F., Nosenzo, D., Toussaert, S. & Abeler, J. (2020). Acceptability of app-based contact tracing for COVID-19: Cross-country survey study. JMIR mHealth and uHealth : JMU, 8(8), e19857. https://doi.org/10.2196/19857
2023
- Gerdon, F., Szafran, D., Kappenberger, J., Bach, R. L. & Kern, C. (2023). Using survey experiments and agent-based modeling to simulate mobility behavior in smart cities. European Survey Research Association (ESRA) Conference 2023, Milano, Italy.
- Gerdon, F., von der Heyde, L. & Kreuter, F. (2023). Using survey experiments to longitudinally study privacy as contextual integrity. European Survey Research Association (ESRA) Conference 2023, Milano, Italy.
- Kern, C., Gerdon, F., Bach, R. L., Keusch, F. & Kreuter, F. (2023). Humans vs. Machines: Who is Perceived to Decide Fairer? An Experiment about Citizens’ Attitudes. Hybrid Human-Artificial Intelligence (HHAI) 2023, München, Germany.
2021
- Gerdon, F., Kern, C., Bach, R. L., Theil, C. K., Kreuter, F., Stuckenschmidt, H. & Eckert, K. (2021). From bias to impact: How can algorithmic decision-making affect social inequality? DigiMeet 2021, Digitalisation Research and Network Meeting, Online.
- Gerdon, F., Nissenbaum, H., Bach, R. L., Kreuter, F. & Zins, S. (2021). Pandemic effects on privacy attitudes : Changes in acceptance of using health data for private and public benefit. Annual Symposium on Applications of Contextual Integrity (03. : 2021), Chicago, IL.
- Gerdon, F., Nissenbaum, H., Bach, R. L., Kreuter, F. & Zins, S. (2021). Privacy attitudes in times of crisis: Acceptance of data sharing for public health. AAPOR 76th Annual Conference, Online.
- Gerdon, F., Nissenbaum, H., Bach, R. L., Kreuter, F. & Zins, S. (2021). Privacy attitudes in times of crisis: Acceptance of data sharing for public health? Joint Statistical Meetings 2021, Online.
2020
- Gerdon, F. (2020). Data sharing for the public good? A factorial survey experiment on contextual privacy norms. 22. General Online Research Konferenz GOR 2020, Online.
- Gerdon, F., Theil, C. K., Kern, C., Bach, R. L., Kreuter, F., Stuckenschmidt, H. & Eckert, K. (2020). Exploring impacts of artificial intelligence on urban societies with social simulations. 40. Kongress der Deutschen Gesellschaft für Soziologie, Online.
2019
- Gerdon, F. (2019). Daten-Teilen für das öffentliche Wohl? Ein Vignetten-Experiment zu kontextabhängigen Privacy-Normen. Unipark Communitytreffen, Mannheim, Germany.
2023
- Brinkmann, M. M., Gerdon, F. & Kühne, S. (2023). Diskriminierungswahrnehmung und Herkunftsregion : eine Befragung von Menschen mit vielfältigen Migrationsgeschichten.
Credit: Katrin Glückler