Prediction vs. Bias in Data: A Debate episode artwork

EPISODE · May 29, 2017 · 13 MIN

Prediction vs. Bias in Data: A Debate

from Inside Social Innovation · host Featuring Kristian Lum, Candace Thille, Lucy Bernholz, & Andrew Means

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

Episode metadata supplied by the publisher feed · Published May 29, 2017

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Prediction vs. Bias in Data: A Debate

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