“Data Feminism” Presents an Intersectional Feminist Way to Think About Data Science and Ethics

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Illustrating data feminism in action, Catherine D’Ignazio and Lauren F. Klein’s “Data Feminism” shows how challenges to the male/female binary can help challenge other hierarchical—and empirically wrong—classification systems.

The post “Data Feminism” Presents an Intersectional Feminist Way to Think About Data Science and Ethics appeared first on Ms. Magazine.

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