Foundations and new horizons for causal inference

  • Nicolai Meinshausen

    ETH Zürich, Switzerland
  • Jonas Peters

    University of Copenhagen, Denmark
  • Thomas S. Richardson

    University of Washington, Seattle, USA
  • Bernhard Schölkopf

    Max Planck Institute for Intelligent Systems, Tübingen, Germany
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While causal inference is established in some disciplines such as econometrics and biostatistics, it is only starting to emerge as a valuable tool in areas such as machine learning and artificial intelligence. The mathematical foundations of causal inference are fragmented at present. The aim of the workshop "Foundations and new horizons for causal inference" was to unify existing approaches and mathematical foundations as well as exchange ideas between different fields. We regard this workshop as successful in that it brought together researchers from different disciplines who were able to learn from each other not only about different formulations of related problems, but also about solutions and methods that exist in the different fields.

Cite this article

Nicolai Meinshausen, Jonas Peters, Thomas S. Richardson, Bernhard Schölkopf, Foundations and new horizons for causal inference. Oberwolfach Rep. 16 (2019), no. 2, pp. 1499–1571

DOI 10.4171/OWR/2019/25