In the astrophysics and particle physics communities, the needs to analyze large amounts of data in a cost-effective way, for real-time analyses, and for combining analyses of multiple data sources are driving the development and application of cutting-edge computational techniques and new data analysis paradigms.
The use of machine and deep learning techniques has become increasingly common in scientific communities. The large amount of data to analyze and the need for real-time analysis are driving the search for cutting-edge techniques and new data analysis paradigms. Especially the field of deep learning for event-based, image-based and signal-based applications for two and higher dimensions has been intensively followed by expert groups within the ESFRIs and will be deployed to the EOSC via ESCAPE.
To foster the cooperation among experts and users of deep and machine learning techniques, the ESCAPE community would like to invite you to the Online Workshop on Innovative Workflows in Astro- and Particle Physics from 8th - 12th March 2021. The objective of this workshop is to bring together the scientists' communities of Astrophysics, Astroparticle Physics and Particle Physics who are leading the development of Innovative Workflows within their domain. The workshop will serve as a platform to share solutions for innovative workflows from the ESFRIs and wider science community, and aims to pave the way to establish an expert group working towards common approaches in scientific research.
The workshop will be held for 3-4 hours daily, either as morning or afternoon sessions (CET). Tentative topics to the days are
The workshop should be use-case driven and encourage the sharing of concepts and development of common approaches in data exploration and analysis. Therefore we invite contributions in various forms. You can suggest and register: