‘Data Feminism’ is an exciting forthcoming (2019) title at MIT Press by Catherine D’Ignazio and Lauren Klein, who I’ve previously referenced for their important work on feminist data visualisation. The book introduces technologists to feminist thinking and intersectionality and feminists to the ways in which their work applies to data science and technology.
As the authors opened up their work to community review, the whole manuscript is available online, split into handy chapters. The open community review period for the book has ended in January, but the draft manuscript remains available to read and comment on. In addition to a general introduction to the topic and a conclusion that urges us to diversify and intersectionalise our perspectives on data, the book includes chapters on power, data and bodies, collaborative data, data visualisation, or the problem of binary categories in data.
As it’s still a draft, I won’t include any quotes here but encourage you to read the full book or individual chapters via the link below. I’m definitely looking forward to reading the final published version and might update this post with a few quotes and a short review when the time comes.