This three-day online course introduces Coincidence Analysis (CNA), a configurational method for learning complex causal structures from data. CNA models how causes combine with context factors into alternative paths to one or more outcomes. The course covers conceptual foundations, the CNA algorithm, calibration and factor selection, hands-on analysis with the R package cna, model evaluation, robustness analysis, and model ambiguities. No prior knowledge of CNA is required.

Instructor: Michael Baumgartner, University of Bergen