Introduction to machine learning for causal analysis using observational data – Online

9:30 AM, Tuesday 22 June 2021 - 4:30 PM, Wednesday 23 June 2021

This two-day online workshop will

  1. Introduce the basic principles of causal modelling (potential outcomes, graphs, causal effects) while emphasising the key role of design and assumptions in obtaining robust estimates.

2. Introduce the basic principles of machine learning and the use of machine learning methods to do causal inference (e.g. methods stemming from domain adaptation and propensity scores).

3. Show how to implement these techniques for causal analysis and interpret the results in illustrative examples.

More information can be found here: