This course provides an introduction to big data methods for public policy analysis. Students will put these techniques to work on a course project using real-world data, to be designed and implemented in consultation with the instructors.

This is a supervised student project for 3 ECTS, supervised by the professorship of Elliott Ash (D-GESS). Students will adapt tools from econometrics and machine learning to questions in law, data science, and social science.Students must have some data science and/or statistics experience. Some programming experience in Python, Stata, or R is required.