This one-day workshop will
– 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.
– 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).
– Show how to implement these techniques for causal analysis and interpret the results in illustrative examples.
Presented by:
Professor Paul Clarke and Professor Spyros Samothrakis
Date & time:
June 22, 2021 8:00 am - June 23, 2021 4:00 pm
Venue:
Building 39, University of Southampton, Highfield, Southampton, Hants