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Gender bias in Nobel prizes

Author

Listed:
  • Per Lunnemann

    (Blackwood Seven)

  • Mogens H. Jensen

    (University of Copenhagen)

  • Liselotte Jauffred

    (University of Copenhagen)

Abstract

Strikingly few Nobel laureates within medicine, natural and social sciences are women. It is obvious that there are fewer women researchers within these fields, but does this still fully account for the low number of female Nobel laureates? We examine whether women are awarded the Nobel Prizes less often than the gender ratio suggests. Based on historical data across four scientific fields and a Bayesian hierarchical model, we quantify any possible bias. The model reveals, with exceedingly large confidence, that indeed women are strongly under-represented among Nobel laureates across all disciplines examined.

Suggested Citation

  • Per Lunnemann & Mogens H. Jensen & Liselotte Jauffred, 2019. "Gender bias in Nobel prizes," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-4, December.
    • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0256-3
    DOI: 10.1057/s41599-019-0256-3
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    References listed on IDEAS

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    1. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    2. Carol V. Robinson, 2011. "In pursuit of female chemists," Nature, Nature, vol. 476(7360), pages 273-275, August.
    3. Helen Shen, 2013. "Inequality quantified: Mind the gender gap," Nature, Nature, vol. 495(7439), pages 22-24, March.
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    Citations

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    Cited by:

    1. Ho Fai Chan & Benno Torgler, 2020. "Gender differences in performance of top cited scientists by field and country," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2421-2447, December.
    2. Antonio De Nicola & Gregorio D’Agostino, 2021. "Assessment of gender divide in scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3807-3840, May.
    3. Julián D. Cortés & Daniel A. Andrade, 2022. "Winners and runners-up alike?—a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    4. Pandelis Mitsis, 2022. "The Nobel Prize time gap," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    5. Wang, Yukai & Yang, Zhongkai & Liu, Lanjian & Wang, Xianwen, 2020. "Gender bias in patenting process," Journal of Informetrics, Elsevier, vol. 14(3).
    6. 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).
    7. Alexander Krauss, 2024. "Science’s greatest discoverers: a shift towards greater interdisciplinarity, top universities and older age," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    8. Hoffmann, Robert & Coate, Bronwyn, 2022. "Fame, What’s your name? quasi and statistical gender discrimination in an art valuation experimentc," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 184-197.

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