Important information: the 2026 summer course will be offered for central bank researchers and analysts in-person. Beginning this year, the participation will be free of charge. In case of high interest we may have to limit the number of participants.
Registration deadline:
- May 18, 2026
Applicants will be notified of their registration status on a rolling basis, with all decisions communicated no later than May 25th.
2026 COURSE
June 29 – July 3, 2026
Title: Machine learning methods with an emphasis on Causal ML and AI
Instructor: Martin Spindler, University of Hamburg
Short description of the course
Causal Machine Learning has emerged as a new field combining Causal Inference with modern Machine Learning. In this course an introduction to causal machine learning, in particular the so-called Double Machine Learning will be given. In the first part of the course, machine learning methods will be introduced which are widely used for prediction. In the second part, we will focus on how machine learning methods can be used for causal inference in complex settings.
To get the most out of this course, a solid foundation in econometrics is required, and basic knowledge of machine learning is recommended. For further reading, we recommend the author’s book, Applied Causal Inference Powered by ML and AI.