data feminism
Data feminisim is an approach to thinking about data that is informed by direct experience, commitment to action, and intersectional feminist thought. The concept is based on the acknowledgement of an unequal distribution of power in the world. The term is coined by the researchers Catherine D'Ignazio and Lauren Klein and also a title of their book "Data Feminism".
"[...] a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought."
Source: D' Ignazio, Catherine and Klein, Lauren F.: Data Feminism. Online: https://mitpress.mit.edu/books/data-feminism
Data feminisim is an approach to thinking about data that is informed by direct experience, commitment to action, and intersectional feminist thought. The concept is based on the acknowledgement of an unequal distribution of power in the world. The term is coined by the researchers Catherine D'Ignazio and Lauren Klein and also a title of their book "Data Feminism".
Non-preferred terms
- UFHU↸ adatfeminizmus
- UFDE↸ Datenfeminismus
- UFES↸ feminismo de datos
- UFNL↸ gegevensfeminisme
Broader Terms
- BT↑ Basic Concept
Related terms
- RT⇆ data ethics
- RT⇆ ethicize
- RT⇆ critical data literacy
- RT⇆ Data ethics
- ExactMatch: https://www.wikidata.org/wiki/Q111721257
- RelatedMatch: https://www.wikidata.org/wiki/Q105228273
