This workshop offers an intensive 4-day introduction to causal modeling with Coincidence Analysis (CNA), a novel configurational comparative method of data analysis geared towards causal complexity, which has seen a considerable uptick in applications in recent years (click here for references). No prior knowledge of CNA is required.

In plenary lectures, the main developer of CNA, Michael Baumgartner, and a team of experienced CNA methodologists and practitioners will guide participants through the nuts and bolts of configurational data analysis as well as cutting-edge methodological innovations. In smaller practice groups, the instructors will demonstrate how to make the most of current software for CNA and offer advice on practical issues, such as getting funded and published with CNA.

From Boolean algebra and the philosophical roots of regularity theories of causation, over the basic ideas behind CNA’s search algorithm, and measures of fit to multi-outcome structures, model ambiguities, and robustness analyses this introduction will enable participants to conduct CNA analyses themselves and review those of other researchers in a sophisticated manner. This will also be an opportunity to get to know researchers working with and on CNA from all over the world.

A tentative program is available here.

RUSH University Medical Center/RUSH, the host for this groundbreaking workshop, is strongly committed to addressing health inequities that affect Chicago’s community, particularly in those neighborhoods surrounding our academic medical center. For this workshop, we will draw from Chicago neighborhood health data to craft practice sessions using real data drawn from health care and community practice to apply a health equity lens to configurational data analysis with CNA. RUSH faculty experienced in health equity and CNA will help to guide these practical sessions.

On the two days after the workshop (May 24-25), there will be a conference on CNA at the same venue in Chicago. Participants of the training workshop will be invited to attend that conference as well. (More information on that conference is available here.) Moreover, the instructors will remain available for consultation after the event to help participants with the methodological and practical aspects of their research projects.