Gender disparity in funding rates in double-blind grant peer review: The case of the Villum Experiment

The Villum Experiment (VEX) is one of the few funding schemes that employs a double-blind review process where applicants are blinded to reviewers, applications are highly standardised, reviewers do not deliberate, and funding is determined solely by ranked aggregated review scores. This unique controlled setting enables assumptions that direct reviewer gender bias is highly unlikely. Using a causal framework (DAG), we examine the extent to which gender disparities in funding may exist in such a setting. Our analyses of 2,041 applications from five funding rounds (2017–2021) reveal a small but consistent gender disparity in success rates, concentrated within the life sciences panel. Since reviewer bias is unlikely in this setting, these disparities or structural inequalities are likely caused by differences in gender compositions across disciplines and the underrepresentation of highly experienced women among the applicants and in the population in general. Multilevel modelling with post-stratification indicates that accounting for these structural factors removes the disparity in funding success rates. Our findings highlight that gender disparity in funding may remain without direct review bias. In this case, such remaining disparities are likely rooted in broader structural inequalities within academia and/or compositional effects.

Publication Details

Journal
Open Science Framework
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/n5f4u
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00
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article

Gender disparity in funding rates in double-blind grant peer review: The case of the Villum Experiment

Open Science Framework
scientometrics and bibliometrics research
article

Gender disparity in funding rates in double-blind grant peer review: The case of the Villum Experiment

article en

Abstract

The Villum Experiment (VEX) is one of the few funding schemes that employs a double-blind review process where applicants are blinded to reviewers, applications are highly standardised, reviewers do not deliberate, and funding is determined solely by ranked aggregated review scores. This unique controlled setting enables assumptions that direct reviewer gender bias is highly unlikely. Using a causal framework (DAG), we examine the extent to which gender disparities in funding may exist in such a setting. Our analyses of 2,041 applications from five funding rounds (2017–2021) reveal a small but consistent gender disparity in success rates, concentrated within the life sciences panel. Since reviewer bias is unlikely in this setting, these disparities or structural inequalities are likely caused by differences in gender compositions across disciplines and the underrepresentation of highly experienced women among the applicants and in the population in general. Multilevel modelling with post-stratification indicates that accounting for these structural factors removes the disparity in funding success rates. Our findings highlight that gender disparity in funding may remain without direct review bias. In this case, such remaining disparities are likely rooted in broader structural inequalities within academia and/or compositional effects.

Open Science Framework
Gender equality
Openalex Percentile: Top 59%
scientometrics and bibliometrics research
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Gender disparity in funding rates in double-blind grant peer review: The case of the Villum Experiment · Open Science Framework (2025) | TGRS Research Map | TGRS