| dc.contributor.author | D'Ignazio, Catherine S | |
| dc.contributor.author | Klein, Lauren F. | |
| dc.date.accessioned | 2020-08-20T13:27:12Z | |
| dc.date.available | 2020-08-20T13:27:12Z | |
| dc.date.issued | 2020-07 | |
| dc.identifier.issn | 2053-9517 | |
| dc.identifier.issn | 2053-9517 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/126699 | |
| dc.description.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. | en_US |
| dc.publisher | SAGE Publications | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1177/2053951720942544 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | Sage | en_US |
| dc.title | Seven intersectional feminist principles for equitable and actionable COVID-19 data | en_US |
| dc.type | Article | en_US |
| dc.identifier.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) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Urban Studies and Planning | en_US |
| dc.relation.journal | Big Data & Society | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.date.submission | 2020-08-20T12:07:55Z | |
| mit.journal.volume | 7 | en_US |
| mit.journal.issue | 2 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Complete | |
