Workshop: Evaluating and Communicaing Impact

Join us for an interactive online workshop and a glimpse into the curriculum of our Master of Science in Decision Making and Applied Analytics (MDA) and Certificate in Decision Making and Applied Analytics (CDA). In this session, we will discuss rigorous causal questions, the challenges of inferring causal relationships from real-world evidence, and the use of synthetic controls as a quantitative method of impact evaluation. You will walk away with the ability to understand cause-and-effect relationships, ask the right questions, and identify reliable and useful answers despite real-world constraints.

Please note that this session will require participants' active participation in order to effectively demonstrate our active learning methodology. Due to the interactive nature of the event, we will not be able to record it.

Facilitated by: Alexis Diamnond, Professor of Computational Sciences

We will share short pre-reading material for review before the session to facilitate active participation.