Big Data for Big Policy Problems

Programming Instructor, Cornell University, Policy Analysis and Management, 2024

This course introduces to substantive topics related to inequality, health and criminal justice while also providing students with exposure to the programming language R for conducting social science research. By learning theory about policy issues in parallel with technical skills for data analysis, Big Data for Big Policy Problems gives undergraduate students an opportunity to learn how sociologists and economists conceptualize research questions and translate them into empirical studies.

Foundations of Social Inquiry

Instructor, University of Washington, Sociology, 2019

This course reviews the methodological foundations of social science research. Important topics include hypothesis testing, reliability/validity and survey sampling designs.