Jakob Kappenberger
Research Interests
- Ethical implications of smart cities
- Agent-based traffic simulations
- Policy decisions based on Reinforcement Learning
Publications
- 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. - Kappenberger, J. and Stuckenschmidt, H. (2025). Overcoming data scarcity in calibrating SUMO scenarios with evolutionary algorithms. SUMO Conference Procedings, 6, 133–148.
- Kappenberger, J., Stuckenschmidt, H. and Gerdon, F. (2025). Pricing parking for fairness — A simulation study based on an empirically calibrated model of parking behavior. Transportation Research. Part A, Policy and Practice, 193, 1–29.
- Cohausz, L., Kappenberger, J. and Stuckenschmidt, H. (2024). Combining fairness and causal graphs to advance both. In , Fairness and Bias in AI : Proceedings of the 2nd Workshop on Fairness and Bias in AI, co-located with 27th European Conference on Artificial Intelligence (ECAI 2024) (S. 1–14). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Cohausz, L., Kappenberger, J. and Stuckenschmidt, H. (2024). What fairness metrics can really tell you: A case study in the educational domain. In , LAK'24: Proceedings of the 14th Learning Analytics and Knowledge Conference (S. 792–799). , Association for Computing Machinery: Kyoto, Japan.
- Kappenberger, J. and Stuckenschmidt, H. (2024). A framework for human-centered AI-based public policies. In Human-centered AI: A multidisciplinary perspective for policy-makers, auditors, and users (S. 287–303). Boca Raton: CRC Press.
- Kappenberger, J., Theil, K. and Stuckenschmidt, H. (2022). Evaluating the impact of AI-based priced parking with social simulation. In , Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, proceedings (S. 54–75). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
Teaching
- AI in Industry (spring 2022 / spring 2023 / spring 2024, M.Sc.)
- CS 704 Social Simulation Seminar (spring 2022, spring 2023, M.Sc.)
- Team Project (fall 2022 -, M.Sc.)
