Reducing socio-demographic disparities in funding with double-blind peer-review

The case of the Villum Experiment

This paper analyses three years (2017-2019) of application and review data from the Villum Experiment to analyze how the applicants are distributed by past performance, gender, age, professional status, and institutional affiliations, and how these distributions compare to the overall Danish research population. By doing so, we hope to shed light on whether the bling review process can help prevent the socio-demographic disparity in research funding that could result from a self-selection or peer-review bias. From this overall objective, we derive the two specific research questions:

  • How does the distribution of applicants to the VE across gender, professional status, institutional affiliation, academic age, and past performance compare to the Danish research population?
  • How do these characteristics relate to the review outcome?
Philippe Mongeon
Philippe Mongeon
Assistant Professor, School of Information Management, Dalhousie University

I am an assistant professor at the School of Information Management at Dalhousie University, director of the Quantitative Science Studies Lab, and associate member of the Centre interuniversitaire de recherche sur la science et la technologie (CIRST).

Emil Bargmann Madsen
Emil Bargmann Madsen
PhD Candidate, Aarhus University