Reading · Summer 2021 Reading from MIT

Data Feminism

Catherine D'Ignazio

Technology & society

Data Feminism

By Catherine D'Ignazio, assistant professor of urban science and planning, and Lauren F. Klein

MIT Press · 2020

Data are neither neutral nor objective. While they have been used for good (exposing injustice, improving health outcomes), they have also been used to discriminate (granting home loans, determining jail sentences). The authors present a new way of thinking about data informed by intersectional feminism, and offer strategies for how data scientists can work toward a more just society.

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From Summer 2021 recommended reading from MIT (MIT News). Cover image via Google Books.

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