This category serves as a reading list or archive to collect books, articles, blogs and other reading material that informs feminist data.
‘Data Feminism’ is an exciting forthcoming (2019) book at MIT Press by Catherine D’Ignazio and Lauren Klein that introduces technologists to feminist thinking and intersectionality and feminists to the ways in which their work applies to data science and technology.
Catherine D’Ignazio and Lauren F. Klein have pioneered feminist research on data visualisation. This paper outlines six principles of feminist data visualisation: rethinking binaries, embracing pluralism, examining power relations, contextuality, embodiment and affect, and making labour visible.
