Learn to design and implement social science experiments. From hypothesis to data analysis, cover lab, field, and survey experiments. Explore causality, validity, and ethics. Practical sessions include designing and running your own experiment.
Master modern causal inference to move beyond simple correlations. Using R or Stata, you will learn to apply instrumental variables, difference-in-differences, and RDD to identify causal effects and control for unobserved variables in observational research.
Learn to uncover hidden structures, hierarchies, and communities within your data. Using R, you will explore concepts like centrality, homophily, and small-world analysis to identify key actors and patterns of information flow across social, economic, or linguistic networks.
