Francesco Veri is a Research Associate at the Centre for Deliberative Democracy and Global Governance at the University of Canberra. He has recently completed his PhD at the University of Lucerne under the supervision of professor Joachim Blatter. He is specialized in set-theoretic methods with an emphasis on fuzzy set qualitative comparative analysis (fsQCA). His research focuses on concept operationalization in fuzzy sets and strengthening the quality of parameters of fit in fsQCA. Francesco’s findings have been presented in specialized workshops and international conferences and appeared in peer-reviewed journals.

Core insights for the methodological discourse

• The ontology of coverage in fsQCA should include two distinctive elements: 1) a quantifiable dimension, and 2) a qualitative dimension. The quantifiable dimension indicates how many cases have empirical relevance with respect to the population of cases that have a subset relation with the outcome. Meanwhile, the qualitative dimension determines the specific fuzzy relevance of the condition set with respect to the outcome set.  (see publication No. 1)
• Fuzzy multiple attribute conditions (FMACs) are flexible conditions that express the ontological architecture of the concept by using fuzzy logic. (see publication No. 2)

Peer-reviewed publications on fuzzy set qualitative comparative analysis

1. Veri, F. (2021). Transforming Family Resemblance Concepts into Fuzzy Sets. Sociological Methods & Research. Article first published online. 

2. Veri, F. (2019). Explaining Foreigners' Political Rights in the Context of Direct Democracy: A fuzzy set QCA of Swiss Cantonal Popular Votes. Politics and Governance, 7(2): 410-426. PDF

3. Veri, F.( 2019). Aggregation Bias and Ambivalent Cases: a new Parameter of Consistency in fuzzy-set Qualitative Comparative Analysis (fsQCA). Comparative Sociology. 18(2). 229:255.

4. Veri, F. (2018). Coverage in Fuzzy Set Qualitative Comparative Analysis (fsQCA): a New Fuzzy Proposition for Describing Empirical Evidence. Comparative Sociology 17 (2): 135-158.

5. Veri, F. (2017). Fuzzy Multiple Attribute Conditions in fsQCA: Problems and Solutions. Sociological Methods & Research. Article first published online. DOI:10.1177/0049124117729693.

Main applications of configurational methods

6. Veri, F. (2019) Explaining Citizenship Light in the Context of Direct Democracy. PhD thesis project (under the supervision of Prof. Dr. Joachim Blatter)