We do research and teaching at the intersection of Behavioral Economics and Data Science, inspired by and connected to work in Psychology, Sociology, Political Science, and Computer Science.
We are interested in the question of whether and how people systematically differ in how they think and behave, how we can measure and observe these differences, and what the structure and effects of this individual heterogeneity are. Methodologically, most of our work is organized around the paradigm of behavioral measurement and its application to observational datasets, (field) experimental interventions, and machine learning methods.
Our current research focus is in the following areas:
- Household and Behavioral Finance
- Social Identity and Discrimination
- Belief Formation
- Sustainable and Green Finance
We currently regularly teach courses in the following areas at the Bachelor, Master, and PhD level:
- (Behavioral) Microeconomic Foundations
- Game Theory and Strategic Decision-Making
- Behavioral Measurement and Experimental Methods
- Digital Economics