Developing Bayesian probabilistic reasoning capacity in HSS disciplines: Qualitative evaluation on bayesvl and BMF analytics for ECRs

Quan-Hoang Vuong and Minh Hoang Nguyen

No 25-008, Working Papers CEB from ULB -- Universite Libre de Bruxelles

Abstract: Methodological innovations have become increasingly critical in the humanities and social sciences (HSS) as researchers confront complex, nonlinear, and rapidly evolving socio-environmental systems. On the other hand, Early Career Researchers (ECRs) continue to face intensified publication pressure, limited resources, and persistent methodological barriers. Employing the GITT–VT analytical paradigm—which integrates worldviews from quantum physics, mathematical logic, and information theory—this study examines the seven-year evolution of the Bayesian Mindsponge Framework (BMF) analytics and the bayesvl R software (hereafter referred to collectively as BMF analytics) and evaluates their contributions to strengthening ECRs’ capacity for rigorous and innovative research. Since 2019, the bayesvl R package and BMF analytics have supported more than 160 authors from 22 countries in producing 112 peer-reviewed publications spanning both qualitative and quantitative designs across diverse interdisciplinary domains. By tracing the method’s inception, refinement, and developmental trajectory, this study elucidates how accessible, theory-driven computational tools can lower barriers to advanced quantitative analysis, foster a more inclusive methodological ecosystem—particularly for ECRs in low-resource settings—and inform the design of next-generation research methods that are flexible, reproducible, conceptually justified, and well-suited to interdisciplinary inquiries.

Keywords: Bayesian statistical inference; BMF analytics; methodological innovation; probabilistic modeling; probabilistic reasoning; quantum physics worldview; interdisciplinary research; early career researchers (search for similar items in EconPapers)
JEL-codes: G12 G13 G41 (search for similar items in EconPapers)
Date: 2025-11-30
New Economics Papers: this item is included in nep-pay
References: Add references at CitEc
Citations:

Published by:

Downloads: (external link)
https://dipot.ulb.ac.be/dspace/bitstream/2013/397326/3/wp25008.pdf Œuvre complète ou partie de l'œuvre (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sol:wpaper:2013/397326

Ordering information: This working paper can be ordered from
http://hdl.handle.ne ... lb.ac.be:2013/397326

Access Statistics for this paper

More papers in Working Papers CEB from ULB -- Universite Libre de Bruxelles Contact information at EDIRC.
Bibliographic data for series maintained by Benoit Pauwels ().