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Bias in Research Grant Evaluation Has Dire Consequences for Small Universities

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  • Dennis L Murray
  • Douglas Morris
  • Claude Lavoie
  • Peter R Leavitt
  • Hugh MacIsaac
  • Michael E J Masson
  • Marc-Andre Villard

Abstract

Federal funding for basic scientific research is the cornerstone of societal progress, economy, health and well-being. There is a direct relationship between financial investment in science and a nation’s scientific discoveries, making it a priority for governments to distribute public funding appropriately in support of the best science. However, research grant proposal success rate and funding level can be skewed toward certain groups of applicants, and such skew may be driven by systemic bias arising during grant proposal evaluation and scoring. Policies to best redress this problem are not well established. Here, we show that funding success and grant amounts for applications to Canada’s Natural Sciences and Engineering Research Council (NSERC) Discovery Grant program (2011–2014) are consistently lower for applicants from small institutions. This pattern persists across applicant experience levels, is consistent among three criteria used to score grant proposals, and therefore is interpreted as representing systemic bias targeting applicants from small institutions. When current funding success rates are projected forward, forecasts reveal that future science funding at small schools in Canada will decline precipitously in the next decade, if skews are left uncorrected. We show that a recently-adopted pilot program to bolster success by lowering standards for select applicants from small institutions will not erase funding skew, nor will several other post-evaluation corrective measures. Rather, to support objective and robust review of grant applications, it is necessary for research councils to address evaluation skew directly, by adopting procedures such as blind review of research proposals and bibliometric assessment of performance. Such measures will be important in restoring confidence in the objectivity and fairness of science funding decisions. Likewise, small institutions can improve their research success by more strongly supporting productive researchers and developing competitive graduate programming opportunities.

Suggested Citation

  • Dennis L Murray & Douglas Morris & Claude Lavoie & Peter R Leavitt & Hugh MacIsaac & Michael E J Masson & Marc-Andre Villard, 2016. "Bias in Research Grant Evaluation Has Dire Consequences for Small Universities," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-19, June.
  • Handle: RePEc:plo:pone00:0155876
    DOI: 10.1371/journal.pone.0155876
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    1. Lutz Bornmann & Gerlind Wallon & Anna Ledin, 2008. "Does the Committee Peer Review Select the Best Applicants for Funding? An Investigation of the Selection Process for Two European Molecular Biology Organization Programmes," PLOS ONE, Public Library of Science, vol. 3(10), pages 1-11, October.
    2. Mushin Lee & Kiyong Om & Joon Koh, 2000. "The Bias of Sighted Reviewers in Research Proposal Evaluation: A Comparative Analysis of Blind and Open Review in Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(1), pages 99-116, June.
    3. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    4. Heinze, Thomas & Shapira, Philip & Rogers, Juan D. & Senker, Jacqueline M., 2009. "Organizational and institutional influences on creativity in scientific research," Research Policy, Elsevier, vol. 38(4), pages 610-623, May.
    5. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    6. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    7. Day, Theodore Eugene, 2015. "The big consequences of small biases: A simulation of peer review," Research Policy, Elsevier, vol. 44(6), pages 1266-1270.
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    2. van Dalen, Hendrik Peter, 2020. "How the Publish-or-Perish Principle Divides a Science : The Case of Academic Economists," Discussion Paper 2020-020, Tilburg University, Center for Economic Research.
    3. Shuwen Wang & Minglu Li & Jianping Li & Dengsheng Wu, 2025. "Do researchers from prestigious universities deserve advantages in research funding? Evidence from the National Natural Science Foundation of China," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(3), pages 1587-1615, March.
    4. Gill, Chelsea & Mehrotra, Vishal & Moses, Olayinka & Bui, Binh, 2023. "The impact of the pitching research framework on AFAANZ grant applications," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    5. Avijit Gayen & Somyajit Chakraborty & Saikat Mitra & Angshuman Jana, 2025. "Comeback or dropout: study of discontinued researchers at early career stage," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 1201-1236, February.
    6. Franklin G. Mixon & Kamal P. Upadhyaya, 2024. "When forgiveness beats permission: Exploring the scholarly ethos of clinical faculty in economics," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(1), pages 75-91, January.
    7. Marco Cozzi, 2020. "Public Funding of Research and Grant Proposals in the Social Sciences: Empirical Evidence from Canada," Department Discussion Papers 1809, Department of Economics, University of Victoria.
    8. Gemma Elizabeth Derrick & Alessandra Zimmermann & Helen Greaves & Jonathan Best & Richard Klavans, 2024. "Targeted, actionable and fair: Reviewer reports as feedback and its effect on ECR career choices," Research Evaluation, Oxford University Press, vol. 32(4), pages 648-657.
    9. Fulya Y. Ersoy & Jennifer Pate, 2023. "Invisible hurdles: Gender and institutional differences in the evaluation of economics papers," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 777-797, October.
    10. Marta Entradas & João M. Santos, 2021. "Returns of research funding are maximised in media visibility for excellent institutes," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.
    11. Marta Entradas & Martin W Bauer & Colm O'Muircheartaigh & Frank Marcinkowski & Asako Okamura & Giuseppe Pellegrini & John Besley & Luisa Massarani & Pedro Russo & Anthony Dudo & Barbara Saracino & Car, 2020. "Public communication by research institutes compared across countries and sciences: Building capacity for engagement or competing for visibility?," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.
    12. Seeber, Marco & Alon, Ilan & Pina, David G. & Piro, Fredrik Niclas & Seeber, Michele, 2022. "Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    13. Grażyna Wieczorkowska & Katarzyna Kowalczyk, 2021. "Ensuring Sustainable Evaluation: How to Improve Quality of Evaluating Grant Proposals?," Sustainability, MDPI, vol. 13(5), pages 1-11, March.
    14. Walker, James & Brewster, Chris & Fontinha, Rita & Haak-Saheem, Washika & Benigni, Stefano & Lamperti, Fabio & Ribaudo, Dalila, 2022. "The unintended consequences of the pandemic on non-pandemic research activities," Research Policy, Elsevier, vol. 51(1).

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