Founded in 1963, the ICPSR Summer Program offers rigorous, hands-on training in statistics, quantitative methods, and data analysis for students, faculty, and researchers of all skill levels and backgrounds. The ICPSR Summer Program is world-renowned for its premier quality of instruction, fun learning environment, and unparalleled networking opportunities.
For those needing to learn a specific methodological technique in just a few days, the Summer Program offers more than 40 short workshops, including:
- Social Science Data and Model Visualization in R (May 16-17, Houston)
- Introduction to Mixed Methods Research (June 12-14, Chapel Hill)
- Qualitative Comparative Analysis (June 17-19, Ann Arbor)
- Multilevel Modeling in the Social Sciences (June 17-21, Chapel Hill)
- Statistical Methods for Sociogenomics and Behavioral Epigenomics (July 1-3, Salt Lake City)
- Advanced Topics in Dynamic Panel Models (July 2-4, Vancouver)
- Structural Equation Models and Latent Variables: An Introduction (July 22-26, Ann Arbor)
- Machine Learning: Uncovering Hidden Structure in Data (July 29-August 2, Berkeley)
- Latent Class Analysis in Social Science Research (August 5-9, Berkeley)
Held at the University of Michigan, the Summer Program’s Four-week Sessions provide an immersive learning experience—think “summer camp for social scientists”! Participants in our First (June 24 - July 19) and Second (July 22 - August 16) Sessions can choose from more than 40 courses, including regression, Bayesian analysis, longitudinal analysis, game theory, MLE, SEM, causal inference, machine learning, multilevel models, race/ethnicity and quantitative methods, and more.
Scholarships are available for students in sociology, public policy, and education. Scholarships are also available to graduate students from under-represented groups.