An Interactive Introduction to Causal Inference


IEEE VISxAI’22 | Foundational causal inference concepts in the style of an explorable explanation.



This work is a deep dive into the foundations of causal inference in the style of an interactive story. Learn all about randomization, causal graphical models, estimating treatment effects, and the assumptions behind causal inference. Here’s a link to the publication.


Text and figures are licensed under Creative Commons Attribution CC BY-ND 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".