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122 - Econ2: Causal machine learning, data interpretability, and online platform markets featuring Hunt Allcott and Greg Lewis

122 - Econ2: Causal machine learning, data interpretability, and online platform markets featuring Hunt Allcott and Greg Lewis

Microsoft Research is delving into complex systems through social science to better comprehend people and society. In this episode, Dr. Hunt Allcott and Dr. Greg Lewis talk about the connection between causal machine learning and economics research, the behavior of buyers and sellers on e-commerce platforms, and how the evolution of data practices and ad targeting can create a more symbiotic relationship between customers and businesses. Additionally, they discuss EconML, a Python package for estimating heterogeneous treatment effects that Lewis worked on as part of the ALICE (Automated Learning and Intelligence for Causation and Economics) project at Microsoft Research. Tune in to discover more about this fascinating intersection of different fields.

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Microsoft Research Podcast

An ongoing series of conversations bringing you right up to the cutting edge of Microsoft Research.

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