Given seemingly limitless options, how do students select their majors?

We use novel archival transcript data and computational methods to identify how students navigate elective curriculums and commit to majors.

related publications

Forecasting undergraduate majors: A natural language approach

Predicting college pathways based on early coursework

AERA Open, 2022

David Lang, Alex Wang, Nathan Dalal, Andreas Paepcke and Mitchell L. Stevens

Visit external site to read this publication

Signaled or suppressed? How gender informs women’s undergraduate applications in biology and engineering

How is gender reflected in college application materials?

Socius, 2022

Sonia Giebel, AJ Alvero, Ben Gebre-Medhin and anthony lising antonio

Visit external site to read this publication