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The Howard‐Harvard effect: Institutional reproduction of intersectional inequalities

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  • Diego Kozlowski
  • Thema Monroe‐White
  • Vincent Larivière
  • Cassidy R. Sugimoto

Abstract

The production of research and faculty in the US higher education system is concentrated within a few institutions. Concentration of research and resources affects minoritized scholars and the topics with which they are disproportionately associated. This paper examines topical alignment between institutions and authors of varying intersectional identities, and the relationship between research topics and identities with institutional prestige and scientific impact. Our results show statistically significant differences between minoritized scholars and White men in citations and journal impact. The aggregate research profile of prestigious US universities is highly correlated with the research profile of White men, and negatively correlated with the research profile of minoritized women. Furthermore, authors affiliated with more prestigious institutions are associated with increasing inequalities in both citations and journal impact. These results suggest a relationship—which we coin as the Howard‐Harvard effect—in which the topical profile of minoritized scholars is further marginalized in prestigious institutions as compared to mission‐driven institutions. Academic institutions and funders should create policies to mitigate the systemic barriers that prevent the United States from achieving a fully robust scientific ecosystem.

Suggested Citation

  • Diego Kozlowski & Thema Monroe‐White & Vincent Larivière & Cassidy R. Sugimoto, 2024. "The Howard‐Harvard effect: Institutional reproduction of intersectional inequalities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(8), pages 869-882, August.
    • Handle: RePEc:bla:jinfst:v:75:y:2024:i:8:p:869-882
    DOI: 10.1002/asi.24931
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    References listed on IDEAS

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    1. Diego Kozlowski & Dakota S Murray & Alexis Bell & Will Hulsey & Vincent Larivière & Thema Monroe-White & Cassidy R Sugimoto, 2022. "Avoiding bias when inferring race using name-based approaches," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-16, March.
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