Stephan Geschwind is a doctoral researcher at the Chair of Economic Theory and a member of the interdisciplinary research team in the DeepWrite project. He holds a Master’s degree in International Economics and Business from the University of Passau and a Bachelor’s degree in International Relations from TU Dresden. His research interests lie in the field of behavioral economics, with a particular focus on conflict research, sustainability, and collective action. As part of the DeepWrite project, he also explores how artificial intelligence can support the teaching and learning of writing and argumentation skills in higher education.
Zubaer, A.A., Granitzer, M., Geschwind, S., Graf Lambsdorff, J., Voss, D. GPT-4 shows comparable performance to human examiners in ranking open-text answers. Sci Rep 15, 35045 (2025). https://doi.org/10.1038/s41598-025-21572-8
Zubaer, A.A., Geschwind, S., Voss, D., Wendlinger, L., Graf Lambsdorff, J., Granitzer, M., Mitrovic, J. Comparative Study of Language Models and Prompt Paradigms in Short Answer Grading. 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI), Athens, Greece (2025). doi: 10.1109/ICTAI66417.2025.00049
Geschwind, Stephan, and Johann Graf Lambsdorff. Does scarcity induce hostility? An experimental investigation of common-pool resources. Ecological Economics 227 (2025): 108388. https://doi.org/10.1016/j.ecolecon.2024.108388
Geschwind, Stephan, and Felix Roesel. Taxation under direct democracy. Journal of Economic Behavior & Organization 200 (2022): 536-554. https://doi.org/10.1016/j.jebo.2022.06.005
