In this episode, we talk with Peter Bergman and Sara Nadel of Learning Collider (https://www.learningcollider.org/), a research lab on a mission to accelerate socio-behavioral research to identify technology interventions that fight inequality. The lab partners with large-scale technology companies and organizations to access the high-dimensional data they collect, then use these massive data sets to assess discrimination and biases that impact hiring, loan decisions, and educational opportunities. They can then build, test, and rapidly scale applications of machine learning and AI that promote algorithmic fairness, and socioeconomic equity.
Peter Bergman, Founder & President, Learning Collider
Peter Bergman is an international expert in economics, behavioral economics, and machine learning. He is an Associate Professor of Economics at the University of Texas, Austin, Co-Editor for the Journal of Public Economics, and Co-Chair of the Education Technology Initiative at the Abdul Latif Jameel Poverty Action Lab (J-PAL) at MIT.
Sara Nadel, Chief Operating Officer, Learning Collider
Prior to joining Learning Collider, Sara generated over one million dollars in additional wages for frontline workers as a Co-founder of StellarEmploy, a predictive analytics platform for hiring an inclusive, diverse workforce. She holds a Ph.D. from Harvard’s Kennedy School of Public Policy and was an Emerson Collective Dial Fellow for her work in labor market innovation.
Talk Polymath is Polyplexus.com's monthly podcast series which features evidence-based conversations and invites global science leaders to converse about topics in science, technology, engineering, the arts, and math. From public health to changing models and trends in technology, this podcast engages in current cultural interests across disciplines.
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