Data Feminism

By Catherine D'Ignazio, Lauren F. Klein,

Book cover of Data Feminism

Book description

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.

Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police,…

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Why read it?

1 author picked Data Feminism as one of their favorite books. Why do they recommend it?

If you’ve never thought of “intersectional feminism” or “the gender binary” as essentially data-scientific terms, please allow this book to correct that. Data science is a locus of power, and that power can be wielded in the service of oppression or liberation. This book raises essential questions about the predominantly white, male, technocratic interests served by the traditional narratives of data analysis and what feminism and data science have to offer each other. Bottom line: the data doesn’t speak for itself, never has, and never will.

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When I was writing this book, several of my friends jokingly called it the Nazi baby book, with one insisting it would make a great title. Nazi Babies – admittedly, that is a catchy title, but that’s not exactly what my book is about. SS babies would be slightly more…

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