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Intersectional inequalities in science

Author

Listed:
  • Diego Kozlowski

    ( a Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-Sur-Alzette 4364, Luxembourg;)

  • Vincent Larivière

    ( b École de Bibliothéconomie et des Sciences de L’information, Université de Montréal, Montreal, QC H3T 1N8, Canada;; c Observatoire des Sciences et des Technologies, Université du Québec à Montréal, Montreal, QC H3C 3P8, Canada;; d Department of Science and Innovation-National Research Foundation Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy, Stellenbosch University, Stellenbosch 7602, South Africa;)

  • Cassidy R. Sugimoto

    ( d Department of Science and Innovation-National Research Foundation Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy, Stellenbosch University, Stellenbosch 7602, South Africa;; e School of Public Policy, Georgia Institute of Technology, Atlanta, GA 30313;)

  • Thema Monroe-White

    ( f Campbell School of Business, Berry College, Mount Berry, GA 30149)

Abstract

The US scientific workforce is not representative of the population. Barriers to entry and participation have been well-studied; however, few have examined the effect of these disparities on the advancement of science. Furthermore, most studies have looked at either race or gender, failing to account for the intersection of these variables. Our analysis utilizes millions of scientific papers to study the relationship between scientists and the science they produce. We find a strong relationship between the characteristics of scientists and their research topics, suggesting that diversity changes the scientific portfolio with consequences for career advancement for minoritized individuals. Science policies should consider this relationship to increase equitable participation in the scientific workforce and thereby improve the robustness of science.

Suggested Citation

  • Diego Kozlowski & Vincent Larivière & Cassidy R. Sugimoto & Thema Monroe-White, 2022. "Intersectional inequalities in science," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(2), pages 2113067119-, January.
    • Handle: RePEc:nas:journl:v:119:y:2022:p:e2113067119
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    Citations

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    Cited by:

    1. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Empirical demonstration of the Matthew effect in scientific research careers," Journal of Informetrics, Elsevier, vol. 17(4).
    2. Zhou, Sifan & Chai, Sen & Freeman, Richard B., 2024. "Gender homophily: In-group citation preferences and the gender disadvantage," Research Policy, Elsevier, vol. 53(1).
    3. Nakajima, Kazuki & Liu, Ruodan & Shudo, Kazuyuki & Masuda, Naoki, 2023. "Quantifying gender imbalance in East Asian academia: Research career and citation practice," Journal of Informetrics, Elsevier, vol. 17(4).
    4. Boshoff, Nelius & Ngwenya, Similo & Koch, Susanne & Dudek, Jonathan & Strelnyk, Olena & Costas, Rodrigo & Uisso, Amani J., 2024. "Geographical inequalities in global forest science: A bibliometric perspective," Forest Policy and Economics, Elsevier, vol. 165(C).
    5. Temkin, Sarah M. & Salles, Arghavan & Barr, Elizabeth & Leggett, Cecilia B. & Reznick, Jeffrey S. & Wong, Melissa S., 2024. "“Women's work”: Gender and the physician workforce," Social Science & Medicine, Elsevier, vol. 351(S1).
    6. Carolina Biliotti & Luca Verginer & Massimo Riccaboni, 2024. "The Uneven Access to COVID-19 Research for Women in Science," Papers 2404.04707, arXiv.org, revised Oct 2024.

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