https://www.youtube.com/watch?v=6SCoaBo1MqU

Amit Sharma, Postdoctoral researcher at Microsoft discusses why we must think about causal inference in data science

Causal Inference in Data Science From Prediction to Causation

This contains useful videos to help learn about or discuss causal inference. List of causal inference videos: 

Counterfactuals:
https://www.youtube.com/watch?v=9j_HWkrSxzI

Judea Pearl as Keynote speaker on cause and effect:
https://www.youtube.com/watch?v=ZaPV1OSEpHw

University of Michigan - Ann Arbor

- Causal Inference Books
- Causal Inference Papers

Causal Inference References

This contains the reference information for the books about causal inference. List of helpful books about causal inference:
1. The Book of Why
2. Causal inference in statistics : A primer
3. Explanation in Causal Inference: Methods for Mediation and Interaction 1st Edition (2015).  Author: VanderWeele, Tyler

Causal Inference Books

This contains the reference information for papers about causal inference. List of helpful papers about causal inference:

- Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience
- Causal inference Based on Counterfactuals
- Illustrating bias due to conditioning on a collider
- Towards Clarifying the Theory of the Deconfounder
- On Geometry of Information Flow for Causal Inference
- Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling
- A Crash Course in Good and Bad Controls
- The Seven Tools of Causal Inference, with Reﬂections on Machine Learning
- Generalizing Experimental Results by Leveraging Knowledge of Mechanisms
- Note on ‘‘Generalizability of Study Results‘‘
- THE LIMITATIONS OF OPAQUE LEARNING MACHINES
- Sensitivity Analysis of Linear Structural Causal Models
- The Environment and Disease: Association or Causation?
- Confounding and Collapsibility in Causal Inference
- Causal Inference-so much more than statistics

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