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Prediction vs. Bias in Data: A Debate
Inside Social Innovation
English - May 29, 2017 18:00 - 13 minutes - 18 MB - ★★★★ - 20 ratingsEducation News foundations philanthropy nonprofits socialentrepreneurs socialinnovation Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Software for Good: Empowering the Social Sector Data Revolution
Next Episode: Unlocking Data and Unleashing Its Potential
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