Prof. Dr. Christoph Zangger

Professor for Applied Data Science

PI SNSF Ambizione Project "The neighborhood in the cloud"

Teaching courses in data visualization, ML, social network analysis, text mining

Supervision of BA and MA theses

Contextual effects in decision making, focusing on neighborhood effects and social networks and how they influence outcomes in education, the labor market, health, and political participation

Econometrics and data science, with a particular focus on spatial econometrics to model spatial and social multipliers and the use of ML techniques to model and predict small-scale geographic change

Causal inference and experimental designs, especially discrete choice and other fractional factorial designs and choice modelling techniques, combining experimental data with microsimulation approaches (e.g., labor supply models)

BSc Digital Business and AI

BSc Business Administration

BSc International Business Administration

SBD2

SBD3

SAD2

SAD3

WBTH

Spatial Data Science

Causal Inference and Counterfactual Modelling

Network Analysis

Experiments and Decision Analysis

Choice Modeling

Discrete Choice Experiments

Neighborhood Effects & Urban Change

Social Networks and Multiplier Effects