- The Book of Why: The New Science of Cause and Effect by Judea Pearl, Dana Mackenzie
- Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research) 2nd Edition by Stephen L. Morgan, Christopher Winship
- Elements of Causal Inference By Jonas Peters, Dominik Janzing and Bernhard Schölkopf
- 의학 및 사회과학 연구를 위한 통계적 인과 추론 by Judea Pearl , Madelyn Glymour , Nicholas P , Jewell (김미정 옮김)
- Causal Inference: The Mixtape by Scott Cunningham
- Causal Inference: What If by Miguel A. Hernan and James M. Robins
- Introduction to Causal Inference, 2020 by Brady Neal
- Getting Started with Causal Inference
- Causal Reinforcement Learning (CRL)
- Causal Diagrams: Draw Your Assumptions Before Your Conclusions (edX course)
- 코로나19의 사회과학
- Online Causal Inference Seminar
- DAGs with NO TEARS - structure learning
- CausalNex
- 소개글: Introducing CausalNex — Driving Models Which Respect Cause And Effect
- DAGs with NO TEARS 도 구현에 반영한 것으로 보임
- Causal ML: A Python Package for Uplift Modeling and Causal Inference with ML by Uber
- Econ ML
- DoWhy
- CausalImpact
- NC Soft 기술 블로그
- Causality and Machine Learning by Microsoft Research
- Causal Inference : Primer (2019-06-01 잔디콘) by 이민호
- The Book of Why 정리 by Causal Inference Korea
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