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dc.contributor.authorSuresh, Harini
dc.contributor.authorMovva, Rajiv
dc.contributor.authorDogan, Amelia Lee
dc.contributor.authorBhargava, Rahul
dc.contributor.authorCruxen, Isadora
dc.contributor.authorCuba, Angeles Martinez
dc.contributor.authorTaurino, Guilia
dc.contributor.authorSo, Wonyoung
dc.contributor.authorD'Ignazio, Catherine
dc.date.accessioned2022-11-14T15:33:11Z
dc.date.available2022-11-14T15:33:11Z
dc.date.issued2022-06-21
dc.identifier.isbn978-1-4503-9352-2
dc.identifier.urihttps://hdl.handle.net/1721.1/146385
dc.publisherACM|2022 ACM Conference on Fairness, Accountability, and Transparencyen_US
dc.relation.isversionofhttps://doi.org/10.1145/3531146.3533132en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|2022 ACM Conference on Fairness, Accountability, and Transparencyen_US
dc.titleTowards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collectionen_US
dc.typeArticleen_US
dc.identifier.citationSuresh, Harini, Movva, Rajiv, Dogan, Amelia Lee, Bhargava, Rahul, Cruxen, Isadora et al. 2022. "Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T07:48:55Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T07:48:56Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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