Data Feminism: what does feminist data science look like?
What is feminist data science? How is feminist thinking being incorporated into data-driven work? And how are scholars in the humanities and social sciences, in particular, bringing together data science and feminist theory in their research?
What is feminist data science? How is feminist thinking being incorporated into data-driven work? And how are scholars in the humanities and social sciences, in particular, bringing together data science and feminist theory in their research?
Friday 19 November 2021 | 1 hour 1 minute 18 seconds
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.