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

Big Data Soc

Departments of English and Quantitative Theory and Methods, Emory University, Atlanta, GA, USA.

Published: July 2020

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398295PMC
http://dx.doi.org/10.1177/2053951720942544DOI Listing

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