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Field Experiments

  • S&DS Seminar: Subhabrata Sen (Harvard), “Causal effect estimation under interference using mean field methods”

    Abstract: We will discuss causal effect estimation from observational data under interference. We adopt the chain-graph formalism of Tchetgen-Tchetgen et. al. (2021). Under “mean-field” assumptions on the interaction networks, we will introduce novel algorithms for causal effect estimation using Naive Mean Field approximations and Approximate Message Passing. Our algorithms are provably consistent under a “high-temperature”…

  • Yale’s new Institute for Foundations of Data Science will help faculty across dozens of disciplines infuse their research with next-generation insights.

    Institute for Foundations of Data Science debuts with interdisciplinary vision

    Yale’s new Institute for Foundations of Data Science will help faculty across dozens of disciplines infuse their research with next-generation insights. by Jim Shelton, YaleNews The future of data science at Yale will reside on one of the top floors of a re-imagined Kline Tower on Science Hill, starting in 2023 — but the university,…