Data Feminism in Action

What is data feminism? How is feminist thinking being incorporated into data-driven work? And how are scholars in the humanities, in particular, bringing together data science, data visualization, and feminist theory in their research? Drawing from her recent book, Data Feminism (MIT Press), coauthored with Catherine D'Ignazio, Klein will present a set of principles for doing data science that are informed by the past several decades of intersectional feminist activism and critical thought. In order to illustrate these principles, as well as some of the ways that scholars have begun to put them into action, she will discuss a range of recent research projects including several of her own: 1) a thematic analysis of a large corpus of nineteenth-century newspapers that reveals the invisible labor of women newspaper editors; 2) the development of a model of lexical semantic change that, when combined with network analysis, tells a new story about Black activism in the nineteenth-century United States; and 3) an interactive book on the history of data visualization that shows how questions of politics have been present in the field since its start. Taken together, these examples demonstrate how feminist thinking can be operationalized into more ethical, more intentional, and more capacious data practices, in the digital humanities and beyond.

This talk is part of the Data Cooperative's Design in Data spring series. Check us out to see what other talks we have planned.