Date/Time
Date(s) - 08/06/2026 - 11/06/2026
0:00
Categories
UC Berkeley
8-11 June 2026
This method training workshop offers an intensive 4-day introduction to causal learning and modeling with Coincidence Analysis (CNA), a relatively new configurational comparative method of data analysis geared towards causal complexity, which has seen a considerable uptick in applications in recent years. No prior knowledge of CNA is required.
In plenary lectures, 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.
This is a unique opportunity to get to know researchers working with and on CNA from all over the world. After the workshop, the instructors will remain available for consultation to help participants with the methodological and practical aspects of their research projects.