Credit: Katrin Glückler
| Course name | Credits | Details | Term |
|---|---|---|---|
| ÜK Datenerhebung | 4 | Course details | fall term |
Research Interests
- Impact of digitization on society, esp. social inequality
- Privacy research, esp. attitudes
- Social impacts of artificial intelligence / automated decision-making (AI ethics)
- Political sociology
- Survey research, esp. survey experiments
- Causal analysis
Career
Academic Career
Frederic Gerdon is a postdoc at the Chair for Social Data Science and Methodology. He received his doctoral degree (Dr. rer. soc.) from the University of Mannheim's School of Social Sciences and was a member of the Graduate School of Economic and Social Sciences (GESS). He holds a Bachelor's degree in Sociology (minor in 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.
At the MZES, he is currently working on the project CAIUS (Consequences of AI-Based Decision Making for Urban Societies) that draws on agent-based modeling (simulations) to investigate the impact of artificial intelligence (automated decision-making) on social inequality.Moreover, he is involved in a project for which we worked at the LMU Munich to measure privacy attitudes wih international survey data collections in several waves. This research is based on previous work that used survey experiments and showed changes in contextual privacy attitudes related to health data use from before to during the Covid-19 pandemic.
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).Twitter: @kausalfred
ResearchGate: https://www.researchgate.net/profile/Frederic-GerdonPublications
- Bach, R. L., Silber, H., Gerdon, F., Keusch, F., Schonlau, M. & Schröder, J. (2024). To share or not to share – understanding individuals’ willingness to share biomarkers, sensor data, and medical records. Information, Communication & Society : ICS, 1–19. https://doi.org/10.1080/1369118X.2024.2351439
- Gerdon, F. (2024). Challenges of data-driven technologies for social inequality and privacy: empirical research on context and public perceptions. [Doctoral dissertation, Universität Mannheim].
- Gerdon, F. (2024). How are public preferences relevant to the ethical use of AI? Theoretical considerations and empirical findings. 15. Wissenschaftliche Tagung des ADM, der ASI und des Statistischen Bundesamtes, “Datenerhebung, Datenqualität und Datenethik in Zeiten von künstlicher Intelligenz”, Wiesbaden, Germany.
- Brinkmann, M. M., Gerdon, F. & Kühne, S. (2023). Diskriminierungswahrnehmung und Herkunftsregion : eine Befragung von Menschen mit vielfältigen Migrationsgeschichten.
- 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.
- 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
- 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., 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). 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
- 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.
- 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
- 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.
- Gerdon, F. (2019). Daten-Teilen für das öffentliche Wohl? Ein Vignetten-Experiment zu kontextabhängigen Privacy-Normen. Unipark Communitytreffen, Mannheim, Germany.
- Keusch, F., Buskirk, T. D. & Gerdon, F. (2018). Getting persnickety about pair-wise Wikis: Investigating the relationship between initial settings for pair-wise Wiki Surveys and respondent engagement using a randomized experiment. AAPOR 73rd Annual Conference, Denver, CO.
Projects