Thanks to all of you that attended the first dScience breakfast meeting on Causality and Machine Learning, which you can read more about here. For those of you that have a particular interest in causality and its connection to machine learning, we will arrange a follow-up breakfast meeting on January 17th at 9-11. The seminar will be held by Geir Kjetil Sandve (Professor, Biomedical Informatics Research Group) and Johan Pensar (Associate Professor, Statistics and Data Science).
This second meeting will be geared towards those that have already done research/published on the topic, or is planning to do so in the near future, and it will be purely a discussion session, where everyone is encouraged to contribute with their unique perspectives on the topic. We are hoping to shed light on the topic from multiple angles, discussing both theoretical and applied aspects, both the Neyman–Rubin causal model and the Structural Causal Model framework (or other), and both the use of machine learning for causal inference and the implications of causality for predictive machine learning.
To participate, please fill out the registration form. We will serve coffee and a light breakfast.
About the dScience Breakfast Club
In these breakfast meetings, researchers and others who work within the thematic field can meet and discuss a chosen topic. These meetings are open to everyone, but we ask you to sign up due to limited space. Breakfast will be served, accompanied with juice and coffee/tea. This is a monthly happening initiated by the dScience council.