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10.1177/2053951720942544 http://scihub22266oqcxt.onion/10.1177/2053951720942544 32802347!7398295!32802347     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Big+Data+Soc 2020 ; 7 (2): 2053951720942544 Nephropedia Template TP {{tp|p=32802347|t=2020. Seven intersectional feminist principles for equitable and actionable COVID-19 data |pdf=|usr=}}{{32802347}} gab.com Text Seven intersectional feminist principles for equitable and actionable COVID-19 data JO: Big Data Soc http://www.kidney.de/pget.php?&tw=1&pmid=32802347 #FOAvip 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. Twit Text FOAVip Seven intersectional feminist principles for equitable and actionable COVID-19 data ????Big Data Soc http://www.kidney.de/pget.php?&tw=1&pmid=32802347 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32802347 #FOAvip English Wikipedia <ref>{{Cite pmid|32802347}}</ref> Seven intersectional feminist principles for equitable and actionable COVID-19 data #MMPMID32802347 D'Ignazio C; F Klein L Big Data Soc 2020[Jul]; 7 (2): 2053951720942544 PMID32802347show ga 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. äSeven intersectional feminist principles for equitable and actionable (epmc).pdf DeepDyve Pubget Overpricing