Teaching

University of Konstanz · Summer Semester 2026

Seminar · 7 ECTS

Fairness and Collective Decision-Making in AI

Introduces fairness metrics and datasets for AI, explores social choice theory for AI alignment, and examines current ethics debates regarding AI's impact on democracy.

fairness metrics social choice AI alignment democracy

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Seminar · 7 ECTS

Dynamic Social Behavior

Introduces computational methods for modelling social dilemmas and dynamic social behavior, with a focus on learning dynamics, simulation, and behavioral time series analysis.

game theory reinforcement learning agent-based modeling LLMs

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University of Konstanz · Winter Semester 2025/26

Seminar · 2 SWS

AI, Society, and Human Behavior: Research Methods in Context

Explores AI ethics, bias and fairness, social choice and alignment, reinforcement learning for social dilemmas, and computational methods for behavioral analysis. Part of M.A. Politics and Public Administration.

AI ethics bias & fairness reinforcement learning computational social science

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ETH Zürich · 2020–2025

Seminar

Digital Society: Ethical, Societal and Economic Challenges

Addresses ethical challenges arising from digital technologies including AI, Big Data, machine learning, IoT, and blockchain, from a social science and economics perspective.

digital ethics AI & society Big Data economics

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Summer School · 2021

Machine Learning for Behavioral Economics

Intensive five-day course at JGU Mainz covering NLP, text classification, word embeddings, deep learning, and time series clustering applied to social science research problems.

NLP text classification deep learning behavioral economics

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