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, ranging from introductory statistics to advanced quantitative methods and cutting-edge techniques. Our participants include graduate students, post-docs, faculty, researchers, and policy analysts from more than 350 universities, institutions, and organizations around the world.
From May through August 2017, the Summer Program will offer more than 80 courses in cities across the US and around the world. Registration is now open for all 2017 courses. For more information, visit icpsr.umich.edu/sumprog or contact email@example.com or (734) 763-7400.
The Summer Program’s Four-week Sessions provide comprehensive training in statistics and quantitative methods in a supportive social environment that facilitates professional networking, encourages the exchange of ideas, and makes the experience of acquiring critical analytical skills enjoyable. Our First (June 26 – July 21, 2017) and Second (July 24 – August 18, 2017) Sessions contain more than 35 courses, including regression analysis, Bayesian analysis, network analysis, longitudinal analysis, game theory, MLE, SEM, multilevel models, scaling and dimensional analysis, causal inference, and more. The four-week sessions take place on the University of Michigan campus in Ann Arbor. Scholarships are available for graduate students and some pre-tenure scholars; funds are also available for Rackham Graduate School doctoral students.
For researchers needing to learn a specific methodological technique in just a few days, the ICPSR Summer Program offers more than 40 short workshops, including:
• R: Learning by Example (May 31 – June 2, Boulder)
• Causal Inference/Estimating Treatment Effects Using Stata (June 12-14, Ann Arbor)
• Process Tracing in Qualitative and Mixed Methods Research (June 19-21, Ann Arbor)
• Managing Data for Reproducible Results (July 24-28, Ann Arbor)
• Modern Causal Inference: Experiments, Matching, and Beyond (July 24-28, Boulder)
• Statistical Graphics (July 31 – Aug. 2, Chapel Hill)