Seven intersectional feminist principles for equitable and actionable COVID-19 data

Author(s)
D'Ignazio, Catherine S; Klein, Lauren F.
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Abstract
This essay offers seven intersectional feminist principles for equitable and actionable COVID-19 data, drawing from the authors' prior work on data feminism. Our book, Data Feminism (D'Ignazio and Klein, 2020), offers seven principles which suggest possible points of entry for challenging and changing power imbalances in data science. In this essay, we offer seven sets of examples, one inspired by each of our principles, for both identifying existing power imbalances with respect to the impact of the novel coronavirus and its response, and for beginning the work of change.
Date issued
2020-07
URI
https://hdl.handle.net/1721.1/126699
Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Journal
Big Data & Society
Publisher
SAGE Publications
Citation
D'Ignazio, Catherine and Lauren F. Klein. "Seven intersectional feminist principles for equitable and actionable COVID-19 data." Big Data & Society 7, 2 (July 2020): dx.doi.org/10.1177/2053951720942544. © 2020 The Author(s)
Version: Final published version
ISSN
2053-9517
2053-9517
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