Resources

BOOKS:
[1] Jonas PETERS, Dominik JANZING & Bernhard SCHÖLKOPF (2017). Elements of causal inference: foundations and learning algorithms, Cambridge (MA). Excellent resource, including a open access pdf version:
https://mitpress.mit.edu/books/elements-causal-inference

JOURNALS:

[1] Wiley Journal of Causal Inference, Edited by Kosuke IMAI, Judea PEARL, Maya Liv Petersen, Jasjeet SEKHON & Mark J. van der LAAN (2 Issues per year), ISSN 2193-3685
https://www.degruyter.com/view/j/jci

WORKSHOPS/CONFERENCES:
[1] MAKE-Explainable AI (MAKE-EXAI) CD-MAKE 2018 Workshop on explainable Artificial Intelligence,
University of Hamburg, August 27-30, 2018, DEADLINE (submissions April, 1, 2018, final camera ready June, 27, 2018)
https://cd-make.net/special-sessions/make-explainable-ai