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Gender differences in Dutch research funding over time: A statistical investigation of the innovation scheme 2012–2021

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  • Casper Albers
  • Sense Jan van der Molen
  • Thijs Bol

Abstract

Background: In 2015, the Dutch research council, NWO, took measures to combat gender bias disadvantaging female applicants in a popular three-tiered funding scheme called the Talent Programme. The innovation scheme consists of three grants for different career stages, called Veni, Vidi and Vici. Objectives: This paper studies the question whether or not NWO has been successful in removing gender differences in their funding procedure. Methods: Using all available data from 2012 onwards of grant applications in the Talent Programme (16,249 applications of which 2,449 received funding), we study whether these measures had an effect using binomial generalized linear models. Results: We find strong statistical evidence of a shift in gender effects in favour of female applicants in the first tier, the Veni (p

Suggested Citation

  • Casper Albers & Sense Jan van der Molen & Thijs Bol, 2024. "Gender differences in Dutch research funding over time: A statistical investigation of the innovation scheme 2012–2021," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-16, February.
  • Handle: RePEc:plo:pone00:0297311
    DOI: 10.1371/journal.pone.0297311
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    References listed on IDEAS

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    1. Lutter, Mark & Schröder, Martin, 2016. "Who becomes a tenured professor, and why? Panel data evidence from German sociology, 1980–2013," Research Policy, Elsevier, vol. 45(5), pages 999-1013.
    2. Bol, Thijs & de Vaan, Mathijs & van de Rijt, Arnout, 2022. "Gender-equal funding rates conceal unequal evaluations," Research Policy, Elsevier, vol. 51(1).
    3. Thomas Buser & Muriel Niederle & Hessel Oosterbeek, 2014. "Gender, Competitiveness, and Career Choices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1409-1447.
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    1. Choji, Thamyres T. & Moral-Munoz, Jose A. & Cobo, Manuel J., 2025. "Trend analysis of the proportional allocation of funding by gender in Spanish National Research Projects: A study by disciplines and staff positions," Journal of Informetrics, Elsevier, vol. 19(3).

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