Below a list of recent research projects.
Rilke, R.M. & Sliwka, D. (2026). When Algorithms Rate Performance: Do Large Language Models Replicate Human Evaluation Biases? (IZA Discussion Paper)
Irlenbusch, B., Rau H.A., & Rilke, R.M. (2026). Human–AI Evaluation and Gender Transparency: Application Decisions in Competitive Hiring. (ECONtribute – Discussion Paper)
Galeotti, F., Rilke, R.M., & Verrina, E. (2026). Beliefs and Group Dishonesty: The Role of Strategic Interactions and Complicity. (SSRN Working Paper)
Fischer, M., Rau H.A., & Rilke, R.M. (2025). AI Tutoring Enhances Student Learning Without Crowding Out Reading Effort. (IZA Discussion Paper)