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======================================================================================================================================= We are pleased to announce a colloquium ‘'When Causal Infrence Meets Statistical Analysis'' to be held in Paris (France) from April 17th to April 21rst. This colloquium will comprise a series of invited talks which will be given by: Antoine Chambaz, Eric Gaussier, Dominik Janzing, Yingzhen Li, Elina Robeva, Chandlers Squires and Bin Yu. In addition, we invite posters sessions on all aspects of causality. Submission guidelines We allow submissions of abstracts. All submissions must be in English, in PDF format, and in ACM two-column format. Suitable LaTeX and Word templates are available from the ACM website: <https://www.google.com/url?q=https%3A%2F%2Fwww.acm.org%2Fpublications%2Fproceedings-template&sa=D&sntz=1&usg=AOvVaw0ex4gXpG6OtXB8CWW1bjXI> https://www.acm.org/publications/proceedings-template. Authors should submit their abstracts via easy chair: https://easychair.org/conferences/?conf=causalstats23. Note that authors are encouraged to adhere to the best practices of Reproducible Research (RR), by making available data and software tools for reproducing the results reported in their papers. For the sake of persistence and proper authorship attribution, we require the use of standard repository hosting services such as dataverse, mldata, openml, etc. for data sets, and mloss, bitbucket, github, etc. for source code. Important dates: - Deadline for submissions: 9 February 2023 (23:59 AOE) - Notifications to authors: 28 February 2023 - Colloquium: 17-21 April 2023 (https://quarter-on-causality.github.io/analysis/<https://quarter-on-causality.github.io/challenges/>) M. Clausel, A. Leite, G. Oppenheim, M. Sebag, M. Tami -- Professor of Statistics Lorraine University Website : https://sites.google.com/site/marianneclausel/home?authuser=0
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