Teaching

Our teaching combines social science, data science, and computer science to study society in an increasingly digital world. Students learn computational methods such as social network analysis, text analysis, machine learning, and Large Language Models, working extensively with real-world data. At the same time, courses critically examine algorithms and AI, including their implications for fundamental rights, discrimination, accountability, and democratic societies. Across all courses, the goal is not only to use computational methods, but to understand their limitations and critically assess the societal consequences of data-driven technologies.

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