Methodology: probability and statistics for social science, quantitative research design, causal inference, machine learning, computational text analysis and large language models, generative AI for social science research, coding for social scientists, statistical computing, data collection and management, game theory.
Substantive topics: courts and judicial decision-making, crime and criminal justice, empirical legal studies, identity and discrimination in politics, political economy, political institutions, public policy analysis.
Data for Data Scientists (MY472), LSE MSc
Generative AI for Social Science Research (MY481), LSE MSc
Causal Inference for Observational and Experimental Studies (MY457), LSE MSc
Introduction to Data Science and Machine Learning (ME314), LSE Undergraduate
Building with AI, LSE Executive Education Professional
LSE Applied AI Professional, LSE online career accelerator Professional
Computational Text Analysis and Large Language Models (MY459), LSE MSc
Research Methods in Political Science (POL 211), UC Davis PhD
Modeling Politics (POL 215), UC Davis PhD
Advanced Models of Politics (POL 282), UC Davis PhD
Topics in American Politics Seminar (POL 290A), UC Davis PhD
Essential Tools for Political Science (Math Camp), UC Davis PhD
Policy Making in the Public Sector (POL 108), UC Davis Undergraduate
The Strategy of Politics (POL 110), UC Davis Undergraduate
Policy-Making Processes (POL 140E), UC Davis Undergraduate
Judicial Process and Behavior (POL 155), UC Davis Undergraduate