On September 15 at 4pm EST GBEN’s is hosting a conversation with Lauren Klein, co - author of Data Feminism. The book and conversation will explore unequal methods of data production, application, and effects on individuals through three questions: Data science by whom? Data science for whom? Data science, with whose interests in mind?
This $10 event is free to AEA affiliates by using code: AEAGBEN22 during registration.
Click here to register for the event: https://greaterbostoneval.org/events
About Lauren Klein
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.
More about the Data Feminism book
These are some questions that emerge from what D’Ignazio and Klein call data feminism: a way of thinking about data science and its communication that is informed by the past several decades of intersectional feminist activism and critical thought. This talk will draw on insights from their collaboratively crafted book about how challenges to the male/female binary can challenge other hierarchical (and empirically wrong) classification systems; how an understanding of emotion can expand our ideas about effective data visualization; and how the concept of “invisible labor” can expose the significant human efforts required by our automated systems. Together, they show how feminist thinking be operationalized into more ethical and equitable data practices.
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