** Apologies for cross-posting **
We are happy to announce the 8th Causal Inference Workshop at UAI 2021, which will be held virtually *on July 30, 2021 (all details below). * Moreover, the registration at UAI 2021 is ***free for **BSc/MSc/PhD students before July 2***, so let your students and colleagues know about this great opportunity. ------------------------------------- Deadline -- May 31st, 2021 Workshop -- July 30, 2021 -- ONLINE ------------------------------------- The workshop is now accepting submissions of extended abstracts of 2-4 pages in standard UAI format through CMT: https://cmt3.research.microsoft.com/CASUALUAI21 <https://www.google.com/url?q=https%3A%2F%2Fcmt3.research.microsoft.com%2FCASUALUAI21&sa=D&sntz=1&usg=AFQjCNEJ3JZrcTsrDdcLDEHnroPVmxrNkQ> . The submission deadline is **31st of May, 23:59 UTC**. The workshop program will consist of invited talks as well as talks and poster presentations based on submissions to the workshop. Confirmed invited speakers for this year’s workshop are: Razieh Nabi <https://www.google.com/url?q=https%3A%2F%2Fwww.cs.jhu.edu%2F~rnabi%2F&sa=D&sntz=1&usg=AFQjCNFStXGJy7AT1yfFv2LxXviwPFydVA> from Johns Hopkins University, and Andrea Rotnitzky <https://www.google.com/url?q=https%3A%2F%2Fwww.hsph.harvard.edu%2Fandrea-rotnitzky%2F&sa=D&sntz=1&usg=AFQjCNHvbYK5gLlH5VhKuUXfp9RzvXcP4A> from Universidad Torcuato Di Tella and Harvard School of Public Health. We expect the workshop to cover an array of the latest methodological and applied research in causal inference. This includes, but is not limited to, the following topics: - causal learning methods, including novel ways of exploiting expert knowledge - methods for causal prediction and causal effect evaluation, - methods evaluating the quality of causal prediction, - methods addressing causal miss-specification and hidden confounders, - addressing the challenge of practical causal inference in the context of real-world applications. We hope you will consider submitting your ideas to our workshop, and we look forward to seeing you there *on July 30th*! More information on the workshop and submissions can be found at: https://sites.google.com/uw.edu/causaluai2021 On behalf of the organizers, Ema Perković (chair), University of Washington Frederick Eberhardt, Caltech Sara Magliacane, University of Amsterdam / MIT-IBM Watson AI Lab Betsy Ogburn, Johns Hopkins University Thomas Richardson, University of Washington Kun Zhang, CMU
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