Inside Social Innovation

Prediction vs. Bias in Data: A Debate

05.29.2017 - By Stanford Social Innovation ReviewPlay

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This panel from our Do Good Data | Data on Purpose conference features conference co-hosts Lucy Bernholz of Stanford PACS and Andrew Means of Uptake, along with Stanford education professor Candace Thille, and Kristian Lum, lead statistician at the Human Rights Data Analysis Group. The discussion focuses on the advantages and drawbacks of using data to analyze social trends in areas including higher education and criminal justice. View the slides from this presentation here. https://ssir.org/podcasts/entry/prediction_vs._bias_in_data_a_debate

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