An initiative of the European Commission

Community - Working Group

Astronomy & Fundamental Physics

Purpose / Scope

The Astronomy and Fundamental Physics Working Group explores how artificial intelligence can accelerate discovery across some of the most data-intensive scientific disciplines.

The group brings together researchers working in astronomy, astrophysics, particle physics, cosmology, gravitational wave science and quantum physics with AI experts, computing infrastructure providers and research infrastructures. It focuses on the development and application of trustworthy AI methods for signal detection, simulation, uncertainty quantification, experimental optimisation and scientific inference. By connecting leading European facilities and research communities, the group identifies research priorities, infrastructure needs and collaboration opportunities that enable AI to support the next generation of scientific discoveries while ensuring transparency, reproducibility and scientific rigour.

Key Questions

01

How can AI accelerate scientific discovery from massive observational datasets?

Exploring methods for extracting weak signals, identifying rare events and analysing multimodal data from next-generation scientific facilities.

02

How can trustworthy AI improve scientific inference?

Developing interpretable, uncertainty-aware AI methods that support reliable scientific conclusions.

03

How can AI integrate simulations with observational data?

Investigating hybrid AI approaches that combine physical models, simulations and experimental measurements.

04

What infrastructure is needed for AI-enabled discovery?

Identifying requirements for computing, data management and collaborative research infrastructures.

Linked RAISE FORUM Space

RAISE FORUM enables structured discussion, consultation, and feedback within the Working Group.

It supports the exchange of perspectives on priorities, challenges, and opportunities in AI for science.

Experts

Selected experts contributing to the AI in Science Working Groups

Each Working Group brings together a selected group of experts contributing to the co-creation of the AI in Science Strategic Research and Innovation Agenda (SRIA). Members were appointed through an open call for expression of interest based on their expertise, experience, and ability to contribute to interdisciplinary collaboration across AI and scientific research domains.

Sascha Caron

Working Group Co-Chair

NIKHEF
Netherlands

 

Anna Scaife

Working Group Co-Chair

University of Manchester
United Kingdom

Ik Siong Heng

University of Glasgow
United Kingdom

Manuel Perger

Institut de Ciències de l’Espai (ICE-CSIC)
Spain

Maria Girone

CERN
Switzerland

Mario Krenn

University of Tübingen
Germany

Pietro Vischia

Departamento de Física and ICTEA, Universidad de Oviedo
Spain

Rosie Bolton

SKAO
United Kingdom

Andreas Ipp

TU Wien
Austria

Chris Messenger

Univeristy of Glasgow
United Kingdom

Daniela Huppenkothen

University of Amsterdam
Netherlands

Gert Aarts

Swansea University, Bielefeld University
Germany

Tommaso Dorigo

INFN, Sezione di Padova
Italy

Marijke Haverkorn

University of Nijmegen
Netherlands

Events

Resources

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