Frederic Gerdon
-
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 PhD candidate at 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 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-Gerdon -
Publications
- 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
- 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.