ECC Online Workshop - Machine Learning in Health Policy Evaluation
26.10.2025
EuHEA's Early Career Committee organizes a training course in Machine Learning in Health Policy Evaluation with Noémi Kreif (University of Washington) on 11th November 2025, 4:00-6:30 PM (CET). For a description, see below. This course will be delivered virtually via Zoom.
For registration, please click here
Course Description:
This online workshop offers an accessible introduction to the evolving methodological toolkit of causal machine learning, with a particular focus on applications in health policy evaluation. The program integrates theoretical foundations with practical demonstrations to ensure participants gain both conceptual understanding and applied experience.
The workshop content includes
a) A conceptual overview of causal machine learning methods for estimating average and heterogeneous treatment effects
b) Demonstrations of these methods using user-friendly software packages in R
c) Examples of recently published studies that apply these methods to health policy evaluation
Speaker:
Noémi Kreif is an Assistant Professor in Health Economics at the CHOICE Institute, University of Washington. Her research focuses on advancing causal inference and machine learning methods to improve health policy and economic evaluations, with an emphasis on real-world decision making. She holds a PhD in Health Economics from the London School of Hygiene and Tropical Medicine and previously worked at the University of York on health policy evaluations in low- and middle-income countries. Her current work integrates causal inference and machine learning to support more personalized and equitable health policy decisions, and she is passionate about mentoring the next generation of researchers in modern quantitative methods.
Please send any questions to mervi.rantsi@uef.fi
Key details:
● The course will take place on the 11th of November 2025.
● It will last two hours, from 4:00 PM to 6:30 PM (Central European Time).
● It will be held virtually via Zoom, with a limit of 500 participants.
● The course is designed for Ph.D. students and early career researchers.
● The course is free thanks to the support of EuHEA.
● To register, please visit here.
● Registration will be closed on the 7th of November 2025 (23:59, CET) or when the limit of 500 participants is reached.
● An email with the Zoom details will be sent to all participants on the 10th of November 2025.
European Health Economics Association
Faculty of Business and Economics
Peter Merian-Weg 6
CH-4002 Basel
Fon +41 61 207 3226