We live in the era Big Data. Its algorithms pervade our lives--shaping our purchases, our finances, our health care, our education, our communities, our public policy. Armed with phones, computers, and countless other devices, society has produced more data in the past two years—a zettabyte—than the prior span of human civilization. Yet the promise of Big Data lies not only in quantity, but in the quality of our analyses and the foresight of our applications. Is Big Data the future of scientific inquiry? Are we giving too much power to algorithms, seeking large-scale patterns, with the risk of losing the core of our humanity? Join us to explore the potential and perils of Big Data.
The Big Ideas Series is supported in part by the John Templeton Foundation.
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Original Program Date: June 3, 2016
MODERATOR: Claudia Perlich
PARTICIPANTS: Gary Marcus, Cathy O’Neil, Duncan Watts, Chris Wiggins
Claudia Perlich Introduction 00:11
Participant Introductions 1:00
When did data become BIG data? 5:10
What has the benefit from looking at all this data? 20:52
What are recidivism algorithms? 28:32
The application of critical thinking to data science. 46:19
Audience Q&A 55:50
