2018 ICPSR Summer Program in Quantitative Methods of Social Research
The ICPSR Summer Program provides in-depth, hands-on training in statistical techniques and research methodologies used across the social, behavioral, and medical sciences. We strive to fulfill the needs of researchers throughout their careers by offering instruction on a broad range of topics, from introductory statistics to advanced quantitative methods and cutting-edge techniques.
Held in Ann Arbor (MI), the Summer Program’s Four-week Sessions provide an immersive learning experience—think “summer camp for social scientists”! Participants in our First (June 25 – July 20) and Second (July 23 – August 17) Sessions can choose from more than 35 courses, including regression, Bayesian analysis, longitudinal analysis, game theory, MLE, SEM, causal inference, multilevel models, race/ethnicity and quantitative methods, and more. New courses in 2018 include social choice theory, as well as two-week workshops on meta-analysis and network analysis.
Scholarships are available for students in sociology, public policy, education, and other disciplines.
For researchers needing to learn a specific methodological technique in just a few days, the Summer Program offers more than 40 short workshops in 7 cities. New locations in 2018 include Houston and St. Gallen (Switzerland). Workshops of interest include:
- Process Tracing in Qualitative and Mixed Methods Research (May 30-June 1, Ann Arbor)
- Qualitative Comparative Analysis (June 4-6, Ann Arbor)
- Machine Learning: Applications and Opportunities in Social Science Research (July 9-13, Ann Arbor)
- Bayesian Multilevel Models (July 30-August 3, Berkeley)
- Latent Class Analysis in Social Science Research (August 6-10, Berkeley)