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Prediction vs. Bias in Data: A Debate

Prediction vs. Bias in Data: A Debate

FromInside Social Innovation


Prediction vs. Bias in Data: A Debate

FromInside Social Innovation

ratings:
Length:
13 minutes
Released:
May 29, 2017
Format:
Podcast episode

Description

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
Released:
May 29, 2017
Format:
Podcast episode

Titles in the series (100)

Social entrepreneurs and leaders from business, government, philanthropy, and the nonprofit sector discuss how they are confronting today’s most pressing challenges. From Stanford Social Innovation Review