Mar 8 – 12, 2021
Online
Europe/Paris timezone

Innovative workflows - the agenda

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 of two and higher dimensions has been intensively followed by expert groups within the ESFRIs and will be deployed to the EOSC via ESCAPE.

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 and explore common approaches for innovative workflows.

Interactive format and contributions

The workshop aims to increase exchange and discussions between the participants. In addition to the presentations in the main sessions, all registrants are therefore invited to share their work in open interactive sessions.

Technical support and uploads

For any questions on technical support, please contact escape.iwapp@gmail.com.

If you would like to upload material to your contribution and cannot access your contribution, you can also drop your files (named name_contribution.format, eg. Jones_presentation.pdf) in this folder.

Starts
Ends
Europe/Paris
Online
https://fau.zoom.us/j/92555464859?pwd=RHlHUERjeVRRMWJHVnJoSk1BZ0VHUT09

The workshop is held as part of the ESCAPE project and has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 824064.