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The promise and perils of big gender data

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Big Data may revolutionize social science—and also amplify our deepest cultural biases.

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References

  1. Buvinic, M., Furst-Nichols, R. & Koolwal, G. Mapping Gender Data Gaps (Data2x, 2014).

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Authors and Affiliations

  1. Data2x, United Nations Foundation, Washington, DC, USA

    Bapu Vaitla, Rebecca Furst-Nichols & Emily Courey Pryor

  2. Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA

    Bapu Vaitla

  3. The GovLab, NYU Tandon School of Engineering, New York University, Brooklyn, NY, USA

    Stefaan Verhulst

  4. Flowminder Foundation, Stockholm, Sweden

    Linus Bengtsson & Marta C. González

  5. Department of City and Regional Planning, University of California–Berkeley, Berkeley, CA, USA

    Marta C. González

Authors
  1. Bapu Vaitla
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  2. Stefaan Verhulst
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  3. Linus Bengtsson
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  4. Marta C. González
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  5. Rebecca Furst-Nichols
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  6. Emily Courey Pryor
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Corresponding author

Correspondence to Emily Courey Pryor.

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The authors declare no competing interests.

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Vaitla, B., Verhulst, S., Bengtsson, L. et al. The promise and perils of big gender data. Nat Med 26, 17–18 (2020). https://doi.org/10.1038/s41591-019-0712-z

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