Keynote Speaker
summary
Argues that data is made and used by humans not machines and shows concrete shifts: the streamgraph born at the New York Times ~6 years ago becomes a standard, projects that return results to their contributors (data returned to subjects) power conservation and activism, experiments across charts sculptures and performances, and classroom work on visualizing sensitive sets like terrorism or cancer mortality with trigger warnings. Describes tools like dimensional reduction and everyday viz libraries and reports which prototypes actually change behavior.
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