The CCD will host its first Summer Short Course, Causal Discovery with Graphical Models, on June 8-11, 2015 at Carnegie Mellon University, Pittsburgh, PA. This intensive four-day course will provide hands-on training in causal modeling and discovery in biomedical research.

The Summer Short Course is appropriate for graduate students, postdocs, and new and established investigators (both biomedical and data scientists) seeking training in causal discovery. Attendees are expected to have knowledge of basic statistical principles, but no prior graphical modeling experience is needed. Potential attendees can review presentations from the 2013 CMU Workshop, Case Studies of Causal Discovery with Model Search to prepare for the Short Course and better understand the material to be presented.

Attendees must bring laptops, as each session will have interactive in-class cases, and they may bring their own data to use.

Registration (closed June 1) is free and includes one dinner and beverage breaks. Attendees are responsible for their own travel, housing, and other meal expenses.

Location: Baker Hall, Giant Eagle Auditorium, A51, CMU