Event Details

This talk introduces a research study on US higher education content using big data and machine learning techniques, conducted by two economists from Yale University, Professors Barbara Biasi and Song Ma. The research studies millions of university course syllabi and compares their contents—the study shows how universities differ in their knowledge provision and the underlying economic reasons; the study also explores the implications on students' long-term success. The talk has implications on university curriculum design and students' education choices. There will be time for a Q&A session after the talk.


  • Song Ma (Assistant Professor of Finance at Yale School of Management)

    Song Ma

    Assistant Professor of Finance at Yale School of Management

    Song Ma is an Assistant Professor of Finance at Yale School of Management (SOM). His main research interests are corporate finance, entrepreneurial finance, innovation, and business law. His research has been featured in top academic journals such as the Journal of Political Economy, Journal of Finance, Journal of Financial Economics, and Review of Financial Studies, and won numerous research awards. His research has also been referenced by legislator and policy makers around the world, including the Federal Trade Commission, EU Competition Commission, and UK Competition and Markets Authority. Professor Ma teaches a popular course Entrepreneurial Finance at Yale SOM, and was recognized as Poets & Quants’ 40 under 40 Best Business School Professor in 2021.

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