You are all cordially invited to the AMLab colloquium on **April 26 at 16:00 in C3.163**, where** Joris Mooij** will give a talk titled “**Automating Causal Discovery and Prediction**“. Afterwards there are drinks and snacks!

**Abstract**: The discovery of causal relationships from experimental data and the construction of causal theories to describe phenomena are fundamental pillars of the scientific method. How to reason effectively with causal models, how to learn these from data, and how to obtain causal predictions has been traditionally considered to be outside of the realm of statistics. Therefore, most empirical scientists still perform these tasks informally, without the help of mathematical tools and algorithms. This traditional informal way of causal inference does not scale, and this is becoming a serious bottleneck in the analysis of the outcomes of large-scale experiments nowadays. In this talk I will describe formal causal reasoning methods and algorithms that can help to automate the process of scientific discovery from data.