Past Event

Convergence: How Will Machine Learning (Really) Affect Labor?

September 23, 2017
8:00 PM - 10:00 PM
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Caveat, 21 A Clinton St., New York, NY


How will machine learning (really) affect labor? How will a new artificial womb influence women’s health and reproductive rights? What new science is on the horizon and how do we sort through the ethical, legal, and policy questions we need to ask today to help shape the future we want tomorrow?

Convergence is a live show and podcast that brings two people from vastly different fields into conversation about how emerging science and technology will affect culture, society, and politics in the near future. Hosted by Meehan Crist, writer in residence in biological sciences at Columbia University, each event will bring out themes and ideas missing when conversations stay siloed.

This show is 21+ and cost $15 per ticket. Register for the event on their website.

David Blei is a professor of statistics and computer science at Columbia University, where he is also a member of the Columbia Data Science Institute. He works in the fields of machine learning and Bayesian statistics.

Jessica Bruder is a journalist who has written about labor and economic justice for publications such as The New York Times, Harper’s, and The Nation. She is the author of Burning Book and Nomadland: Surviving America in the Twenty-First Century.

Meehan Crist is writer in residence in biological sciences at Columbia University. Previously, she was editor at large at Nautilus and reviews editor at The Believer. Her writing explores the intersection of science, culture, and politics: from sensory deprivation tanks and the KUBARK manual to cephalopod consciousness and climate change. Her work has appeared in publications such as the New York Times, the Los Angeles Times, the Atlantic, the New Republic, Tin House, Lapham’s Quarterly, London Review of Books, Scientific American, and Science. You can find her online at or on Twitter @meehancrist.