[AISWorld] Method Training: Causal Data Analysis and Modeling with Coincidence Analysis

[Michael Baumgartner]

*Method Training: Causal Data Analysis and Modeling with Coincidence 
Analysis*

Date:  May 15-18, 2023
Location: Prague, Czech Republic (Prague University of Economics and 
Business)
Instructors: Prof. Michael Baumgartner, University of Bergen; Prof. 
Deborah Cragun, University of South Florida, Prof. Edward Miech, 
Regenstrief Institute

This method training offers an intensive 4-day introduction to causal 
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 (cf. https://www.uib.no/en/cna/). 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.
More information about the course and registration details (space is 
limited) can be found here:

https://www.uib.no/en/cna/158122/introduction-causal-data-analysis-and-modeling-coincidence-analysis

-- 

Michael Baumgartner
Professor
University of Bergen
Department of Philosophy
Postboks 7805
5020 Bergen
Norway

Tel: +47 55 58 89 60
Email:michael.baumgartner at uib.no
Web:https://m-baum.github.io