“I always say that my research, even in the academy, has these parallel interests of thinking about how we make the technology itself more equitable, but then also thinking about -- how do we make the methods, whether they be the design methods or the research methods, more equitable and more accessible?” - Christina Harrington 

Data & Society launched Race and Technology fellowships three years ago to recognize how important questions of race, and analogous concepts like caste, are to studying, developing, and using emerging technologies. This year's fellows, Lindsey Cameron and Christina Harrington, convened interdisciplinary groups to talk through shared analysis and points of difference in their respective fields, devising nuanced ways to engage with the intersections of tech and race. 

Recorded in May 2023. 

Learn more at www.datasociety.net. 

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Data & Society studies the social implications of data-centric technologies, automation, and AI. Through empirical research and active engagement, our work illuminates the values and decisions that drive these systems — and shows why they must be grounded in equity and human dignity.