Statistical methods and machine learning are increasingly relevant in high energy physics, nuclear physics and cosmology, where large sets of complex data and analyses are the norm. This event is focused in the use of statistical tools with a multidisciplinary approach. The event includes a workshop and an advanced school (with projects) where researchers and students are expected to interact and find synergies between subfields.

The workshop days would start with a short session of presentation in a jamboree style, followed by introductory session, followed by specific plenary talks and short talks. The speakers are expected to present their research with emphasis in the statistical methods accompanied by a brief description of problems where this methods are implemented and highlighting the open problems/questions to be faced. At the end of the day, a free discussion session is planned where the chair will guide the discussion over the open questions raised during the day.

In the school days, the invited speakers will present a lecture where a particular statistical method is used. It is expected that the lectures will provide the theoretical framework for any participant to apply the methodology to its own domain.