Causal Analysis Workshop Series 2024 Summer Course
This five-day summer school introduces causal discovery methods and their applications. It is taught at a level appropriate for someone with experience doing data analysis at a graduate student level or above.
Causal discovery analysis uses a data-driven approach to identify the best-fitting causal structural model for your data. Over the course of this summer school, we will cover the assumptions, limitations, and uses of various causal discovery analysis methods. We will also discuss more advanced topics depending on student interests. Finally, students will coordinate with the summer school organizers to develop an individual project based on their own research interests.
Registering for this will include: an invitation to the online lectures, personalized guidance on your causal discovery project.
Registration Deadline: May 15, 2024
Date of the Course: July 8-12, 2024, 10am-2pm US Central Time
How to Apply: register HERE.
The registration requirements are:
- $15 (no refunds)
- Brief description of your background and learning goals
Organizers: Eric Rawls, Ph.D., Erich Kummerfeld, Ph.D., Sisi Ma, Ph.D., Bryan Andrews, Ph.D., Michael Bronstein, Ph.D., Kelvin Lim, MD
CAWS 2024 summer school is proud to be affiliated with the University of Minnesota. Any statements made by CAWS 2024 summer school or its organizers are independent and may not necessarily reflect the views of the University of Minnesota.
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