- Enseignant-e: Marco Lehmann
- Enseignant-e: Ewa Lombard
- Enseignant-e: Kerstin Preuschoff
This course introduces the science of decision-making under uncertainty from an interdisciplinary perspective. Students will explore theories and evidence from economics, finance, psychology, neuroscience, and computational sciences.
Key topics include:
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Risk, ambiguity, and uncertainty
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Learning, surprise, and adaptation
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Heuristics and biases in decision-making
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Temporal preferences and intertemporal choice
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Social influences and collective behavior
Applications will cover real-world domains such as financial markets, public policy, and collective decision-making. Weekly readings and discussions emphasize integration across disciplines. The course culminates in a final exam.
Open to all students with an interest in decision-making and interdisciplinary approaches