DFN is inspired by, but unaffiliated with, the book Data Feminism, written by Catherine D'Ignazio and Lauren F. Klein and published by the MIT Press. We are a group of young professionals who decided to take the message of the book and build a community of practice around it.

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Data feminism is a framework for thinking about data science and ethics that is guided by ideas of intersectional feminism. The work of data feminism uncovers how standard practices in data science serve to reinforce existing inequalities around the world. 

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