| Index | Date | Topic | Slides | Recording |
|---|---|---|---|---|
| 1 | June 7 | Introduction to Structural Causal Models | Slides | - |
| 2 | June 14 | Potential Outcomes | Slides | Recording |
| 3 | June 21 | Backdoor/Frontdoor & do-Calculus | Slides | Recording |
| 4 | June 28 | Bayesian Networks | Slides | Recording |
| 5 | July 5 | Estimation of Causal Peer Influence Effects | Slides | Recording |
| 6 | July 19 | Causality in ML | - | Recording |
| 7 | July 26 | Causal Deep Learning | - | Recording |
| 8 | August 2 | Three Counterfactual Interpretations And Their Identification and categorizing spurious features in NLP | Slides | - |