Data Analytics and Economic Evaluation for Social Impact

(3 Credit Hours) · Undergraduate

This course will demonstrate how tools from economics and data science can be used to address pressing social challenges. Emphasis will be placed on using applied microeconomics methods (e.g., causal inference), basic theory, and machine learning (prediction) to design and evaluate programs to alleviate poverty and increase human capital. Students will receive hands-on experience in developing a research project.