The Summer School on Big Data and Machine Learning for Chemistry is co-organized by EPFL and ETHZ and co-sponsored by NCCR Catalysis, and will take place from June 7-9 2021 as a hybrid live/online event. The summer school will provide an overview on machine learning models through presentations and hands-on tutorials, and discussions on specific applications for computational chemistry, catalysis, and high-throughput screening. The speakers will give both theoretical and experimental perspectives, and the program targets chemists and chemical engineers. Interested? You can find more information and register here.