Credit: Katrin Glückler
Daria Szafran
University of Mannheim
School of Social Sciences
A 5, 6
Building B – Room B 223
68159 Mannheim
School of Social Sciences
A 5, 6
Building B – Room B 223
68159 Mannheim
Consultation hour(s):
Thursday from 2:30 p.m. to 4:00 p.m. Please register here: https://calendly.com/daria-szafran-uni-mannheim/15min
Thursday from 2:30 p.m. to 4:00 p.m. Please register here: https://calendly.com/daria-szafran-uni-mannheim/15min
| Course name | Credits | Details | Term |
|---|---|---|---|
| Kolloquium Abschlussarbeit Methoden der empirischen Sozialforschung (Soziologie) | 3 ECTS | Course details | spring term |
Research Interests
- Dimensions of social inequality
- Social impact of AI
- Quantitative and qualitative research methods
Career
Daria holds a B.A. and M.A. in Sociology from the University of Mannheim. In her master thesis, she analyzed the influence of media consumption on adolescent body image. During her studies, she worked as a student research assistant at the Center for Preventive Medicine and Digital Health (CPD) in Mannheim, where she analyzed qualitative data for a public health project.
In August 2022 she joined the Professorship for Social Data Science and Methodology as a research assistant, where she supports a project on artificial intelligence and social inequality.
Publications
- Szafran, D. and Bach, R. L. (2025). Unfamiliar but desired: citizens’ attitudes toward smart city applications. AI & Society, 1–18.
- Szafran, D. and Bach, R. L. (2024). “The human must remain the central focus”: Subjective fairness perceptions in automated decision-making. Minds and Machines, 34, 1–37.
- Kappenberger, J., Strasser Ceballos, C., Gerdon, F., Szafran, D., Rupp, F., Eckert, K., Stuckenschmidt, H., Bach, R. L., Kreuter, F. and Kern, C. (2025). Unintended impacts of automation for integration? Simulating integration outcomes of algorithm-based refugee allocation in Germany.
In , Proceedings of the Eighth AAAI/
ACM Conference on AI, Ethics, and Society (AIES-25). Volume 2 (S. 1375-1387). , Association for the Advancement of ArtificialIntelligence: Washington, DC.
- Rodewald, F., Keusch, F., Szafran, D. and Bach, R. L. (2025). Measuring the accuracy of self-reported Instagram behavior – A data donation approach. 27. General Online Research Conference (GOR), Berlin, Germany.
- Rodewald, F., Keusch, F., Szafran, D. and Bach, R. L. (2025). Measuring the accuracy of self-reported Instagram privacy behavior – a data donation approach. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
- Szafran, D., Bach, R. L., Rodewald, F. and Keusch, F. (2025). Measuring the effect heterogeneity of a seven-day Instagram abstinence on users’ body image by combining survey and donated data. 11th Conference of the European Survey Research Association (ESRA) 2025, Utrecht, The Netherlands.
- Szafran, D., Rodewald, F., Bach, R. L. and Keusch, F. (2025). Measuring the effect heterogeneity of seven-day Instagram abstinence on users’ body image by combining survey and donated data. Novel Data Sources, New Methods and Computational Approaches for Understanding Discrimination and Bias, Mannheim, Germany.
- Rodewald, F., Keusch, F., Szafran, D. and Bach, R. L. (2024). Mesuring privacy behavior with donated data. Data Donation Symposium 2024, Amsterdam, The Netherlands.
Projects