Data Feminism: what does feminist data science look like?

Contributor(s): Professor Catherine D'Ignazio, Professor Lauren F Klein | Drawing from their recent book, Data Feminism, Catherine D'Ignazio and Lauren Klein present a set of principles for data science that are informed by decades of intersectional feminist activism and critical thought. To illustrate these principles they will discuss a range of recent research projects, including some of their own. Taken together, these examples demonstrate how feminist thinking can be operationalised into more ethical, more intentional, and more capacious data practices, in the digital humanities, computational social science, human-computer interaction and beyond.