News & Resources
This blog is a companion to the feminist data project and features short notes on reading material, events and other projects that inform this study. The aim is to build an archive that makes all the reading, listening, thinking and connecting that inspire the project visible. Think of it as a crossover between an annotated bibliography and a living acknowledgement section that expands with the project.
‘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.
The Feminist Data Set is an ongoing project by Caroline Sinders. It aims at building a large data set based on feminist ethics that can be used to intersectionally train AI against algorithmic bias.
Welcome to the feminist data project! This is an exploratory research project that asks what it means to engage with data from a feminist perspective.