Dan Bouk is a historian and author exploring how data systems shape society, particularly through insurance, race, and quantification. His work is used by academics, policymakers, and students to understand algorithmic bias and historical inequalities. Researchers and activists benefit from his insights to critically analyze modern data practices and their societal impacts.
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