About
Japan QCA Conference 2026
The Japan QCA Conference brings together researchers who use Qualitative Comparative Analysis in empirical work and experts engaged in advancing QCA and related methods. It will take place on 30–31 October 2026, with in-person sessions at Komatsu Hall, Research Innovation Center (Building 121), Waseda University, Tokyo.
The conference language is English.
Conference aims
- Create a focused setting for constructive feedback on developing QCA papers
- Enable intensive discussion of research design, calibration, analysis, and interpretation
- Exchange ideas across disciplinary domains in which QCA is used
- Discuss current progress and emerging methodological developments in QCA
Workshop formats
Paper Development Workshop
The Paper Development Workshop (PDW) is designed for researchers who use QCA in their domains and wish to develop an empirical paper. Small roundtable sessions allow paper developers to receive detailed feedback from QCA experts and discuss the methodological aspects of their projects.
The PDW is an in-person workshop hosted by Waseda University in Tokyo.
Expert Workshop
The Expert Workshop (EW) is a discussion forum for experienced QCA researchers working on the latest QCA and related methodological developments. Empirical applications may illustrate a methodological issue, but the main focus should be on developing QCA or a related method.
The EW is a hybrid event, combining in-person and online participation.
QCA experts are welcome to participate in the EW even if they are not presenting a paper.
Supported by
The Japan QCA Conference 2026 is supported by the following JSPS KAKENHI.
Grant-in-Aid for Challenging Research (Pioneering)
Grant Number 23K17283 ↗
Fostering Co-creation of Qualitative Comparative Analysis (QCA) in Political Science: Time-orientation, Conditionality, and Good Practices
Grant-in-Aid for Scientific Research (B)
Grant Number 26K00294 ↗
Building a Foundation for Set-theoretic Interaction and Mediation Analysis (SIMA): Exploring Causal Attributes in Political Science