Students collaborate on original research on migration policy or politics. After an introduction to key topics and literature, the class selects a theme and, with instructor guidance, manages the full research process from design to data analysis to writing and publishing a paper, thereby building hands-on quantitative research skills.

This course starts with a broad conceptual and historical perspective on technological and scientific innovation, and then focuses on concepts, theories, and methods for policy analysis as well as their application to policy questions in a variety of issue areas.

A two-day field trip to international organizations in Geneva - e.g., the World Trade Organization, the World Health Organization and the International Committee of the Red Cross.

This course provides an introduction to methods for supervised and unsupervised learning for the social sciences.

This class provides an introduction to statistical methods for social science and policy analysis. The class covers causal inference, measurement, prediction with a focus on linear and logistic regression, probability, and uncertainty. Each topic is accompanied by exercises in the R programming language.

This course provides an introduction to statistical methods used for causal inference in the social sciences, covering both experimental and observational studies.