About the video
Lauren Klein, co-author of the foundational work Data Feminism, unpacks the essential elements of the book and concepts behind Data Feminism with both new and old examples, showing how Data Feminism works when put into action.
For those unaware of the book this talk will be an eye opener, and for those who have read the book it will be an added and thoughtful visit of how these seminal ideas translate.
About the author
Lauren Klein is Winship Distinguished Research Professor and Associate Professor in the departments of English and Quantitative Theory & Methods at Emory University, where she also directs the Digital Humanities Lab.
She is the author of An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) and, with Catherine D’Ignazio, Data Feminism (MIT Press, 2020). With Matthew K. Gold, she edits Debates in the Digital Humanities, a hybrid print-digital publication stream that explores debates in the field as they emerge.
→ Catherine D’Ignaizio & Lauren F. Klein, Data Feminism http://datafeminism.io
→ Sasha Constanza-Chock, Design Justice: Community-Led Practices to Build the Worlds We Need. MIT Press, 2020
→ Ruha Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code. Polity, 2019
→ Ruha Benjamin, Viral Justice: How We Grow the World We Want. Princeton University Press, 2022
→ Meredith Broussard Artificial Unintelligence: How Computers Misunderstand the World. MIT Press, 2019
→ Meredith Broussard, More than a Glitch: Confronting Race, Gender & Ability Bias. MIT Press, 2023
→ Safiya Noble, Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press, 2018
→ Virginia Eubanks, Automating Inequality: How High Tech Tools Profile, Punish and Police the Poor. Picador, 2019
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