Assessing the potential of a Bayesian ranking as an alternative to consensus meetings for decision making in research funding: A case study of Marie Sklodowska-Curie actions.

ABSTRACT: Funding agencies rely on panel or consensus meetings to summarise individual evaluations of grant proposals into a final ranking. However, previous research has shown inconsistency in decisions and inefficiency of consensus meetings. Using data from the Marie Skłodowska-Curie Actions, we aimed at investigating the differences between an algorithmic approach to summarise the information from grant proposal individual evaluations to decisions after consensus meetings, and we present an exploratory comparative analysis. The algorithmic approach employed was a Bayesian hierarchical model resulting in a Bayesian ranking of the proposals using the individual evaluation reports cast prior to the consensus meeting. Parameters from the Bayesian hierarchical model and the subsequent ranking were com

SUBMITTER: Heyard R 

PROVIDER: S-EPMC11970724 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature