The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Introduction to Causal Machine Learning

human hand and robot hand touch fingers

Arne Ryde Summer School

19 August – 22 August, 2024, at 10:00 – 15:00 at LUSEM. 

Instructor: Anthony Strittmatter, Ph.D. (UniDistance Switzerland and Amazon)

Introductory, Ph.D.-level course in causal machine learning.

  • No prior knowledge of machine learning is needed.
  • Open for Ph.D. students, postdocs, and faculty.
  • Content: predictive versus causal methods; dealing with high-dimensional confounders; impact evaluation using machine learning.
  • Hands-on exercise sessions in R. 
  • 3 ECTS credits for completing a homework assignment (optional). 

Contact Petra Thiemann at petra [dot] thiemann [at] nek [dot] lu [dot] se (petra[dot]thiemann[at]nek[dot]lu[dot]se)  if you have any questions!

Course participation is free, thanks to generous support by the Arne Ryde Foundation.


Sign up until March 15, 2024!

To sign up, use the QR code or email petra [dot] thiemann [at] nek [dot] lu [dot] se.

QR code