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CV
Essen, Germany · volkerstrauss.info
Research
- Banh, L., Strauß, V., Holldack, F., & Strobel, G. (2026). Deal or no deal? Employing generative agents as proxies to simulate decision behavior [Manuscript submitted for publication]. Ruhr Institute of Information Systems, University of Duisburg-Essen.
- Banh, L., Holldack, F., Strauß, V., Gieß, A., Schöbel, S., & Strobel, G. (in press). Uncovering the truth of the agent economy: Exploring Moltbook and future research directions on interacting with machines. In ICIS 2026 Proceedings. Association for Information Systems. researchgate.net/publication/415632665
- Laufer, J., Banh, L., Strauß, V., & Strobel, G. (2026). Grey’s A(I)Natomy: Design principles for generative virtual patients. In ECIS 2026 Proceedings (15). aisel.aisnet.org/ecis2026/hit/hit/15
Experience
Research Assistant — Ruhr Institute of Information Systems, 2024–present
- Co-authored three papers on AI in Information Systems
- Supporting PhD researchers
Editor — ak[due]ll student newspaper, Sep 2023–present
- Published 40+ articles (news, interviews, commentaries, explainers) in German and English, incl. “Looking for your first job? AI might have taken it already” (2025)
- Covered AI, research policy and university politics
- Portfolio: posts
Student Assistant — Witten/Herdecke University, Jul 2023–Jun 2024
Student Assistant — University of Duisburg-Essen, Nov 2021–Aug 2023
Education
M.Sc. Information Systems — University of Duisburg-Essen, 2024–2027
- Relevant courses: Responsible Artificial Intelligence, Machine Learning, Human Computer Interaction, Digital Resilience for a Vital Europe
- Seminar paper: From Hype to Hegemony: How AI Narratives Influence the AI Discourse (grade: 2.0)
B.Sc. Information Systems — University of Duisburg-Essen, 2020–2024
- Thesis: Advancing Behavioural Research in the Era of Generative AI: Employing Large Language Model-based Generative Agents to Simulate Human Behaviour (grade: 1.0, 1.0 = highest)
Skills
- Languages: German (native), English (C2), French (A2)
- Methods: qualitative methods, literature review
- Technical: understanding of ML training, evals, agent frameworks
- Tools: Python, R, Microsoft Excel