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Data Feminism
Book

Data Feminism

MIT Press, 2020 más...


Editorial Rating

8

Qualities

  • Analytical
  • Eye Opening
  • Concrete Examples

Recommendation

What gets left out of datasets can be interesting and as telling as what gets left in. Catherine D’Ignazio and Lauren F. Klein ask: Who decides? They illustrate their “seven principles of data feminism” through campaigns and creative projects. Though aimed at data scientists, “data visualizers” and anyone relying on data to make their arguments – which means everyone – will find much to ponder. Considering the source has never mattered more.

Take-Aways

  • Feminism holds that the sexes should be equal politically, socially and economically. Data now informs feminist activism.
  • Oppression so embeds in everyday life – and datasets – that people aren’t aware of it.
  • Racism exists in systems and generates “structural oppression.”

About the Authors

Catherine D’Ignazio teaches Urban Science and Planning at MIT. Co-author Lauren F. Klein teaches Quantitative Theory and Methods at Emory University.


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