This course will show how "big data" can be used to understand and solve some of the most important social and economic problems of our time. The course will give students an introduction to frontier research in applied economics and social science that does not require prior coursework in Economics. Topics include equality of opportunity, education, innovation and entrepreneurship, health care, climate change, and crime. In the context of these topics, the course will also provide an introduction to basic statistical methods and data analysis techniques, including regression analysis, causal inference, quasi-experimental methods, and machine learning. The course will include discussions with leading practitioners who will discuss how they use big data in real-world applications.
Also offered by the Economics Department as Econ 50 and the Graduate School of Education as A-218. Please note, students registering under HKS SUP-135 must have a background in statistics/econometrics and can only take a section that requires that.
Memorial Hall Sanders Thtr (FAS)