With their ability to depict hundreds, thousands, and sometimes even millions of relationships at a single glance, visualizations of data can dazzle, inform, and persuade. It is precisely this power that makes it worth asking: "Visualization by whom? For whom? In whose interest? Informed by whose values?" These are some of the questions that emerge from what we call data feminism, a way of thinking about data and its visualization that is informed by the past several decades of feminist critical thought. Data feminism prompts questions about how, for instance, challenges to the male/female binary can also help challenge other binary and hierarchical classification systems. It encourages us to ask how the concept of invisible labor can help to expose the invisible forms of labor associated with data work. And it points to how an understanding of affective and embodied knowledge can help to expand the notion of what constitutes data and what does not. Using visualization as a starting point, this talk works backwards through the data-processing pipeline in order to show how a feminist approach to thinking about data not only exposes how power and privilege presently operate in visualization work, but also suggests how different design principles can help to mitigate inequality and work towards justice.

Lauren Klein is an assistant professor in the School of Literature, Media, and Communication at Georgia Tech, where she also directs the Digital Humanities Lab. With Matthew Gold, she edits Debates in the Digital Humanities (University of Minnesota Press), a hybrid print/digital publication stream that explores debates in the field as they emerge. Her literary monograph, Matters of Taste: Eating, Aesthetics, and the Early American Archive, is forthcoming from Minnesota in Spring 2019. She is also at work on two new projects: Data Feminism, co-authored with Catherine D’Ignazio, and under contract with MIT Press, which distills key lessons from feminist theory into a set of principles for the design and interpretation of data visualizations, and Data by Design, which provides an interactive history of data visualization from the eighteenth century to the present.