The Industry, Innovation and Frugal AI Working Group explores how advances in AI can be translated into practical scientific applications while promoting resource-efficient and sustainable innovation
The group brings together industry, research organisations, technology developers and scientific communities to discuss AI-enabled laboratory systems, cloud services, AI Factories, industrial partnerships and emerging technologies. Particular emphasis is placed on frugal AI approaches that reduce computational costs, improve energy efficiency and broaden access to AI across European research ecosystems.
Strengthening collaboration between research organisations and technology providers.
Exploring new services and infrastructure models for researchers.
Promoting frugal, efficient and environmentally responsible AI methods.
Ensuring accessible technologies that benefit organisations of all sizes.
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.
This discussion space connects researchers, industry, infrastructure providers and innovators interested in translating AI advances into scientific impact. Topics include emerging technologies, sustainable AI, industrial collaboration and future innovation opportunities across the European research ecosystem.
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.
Working Group Co-Chair
HUN-REN SZTAKI
Hungary
Astroparticule et Cosmologie Lab, University Paris Cité, CNRS, CEA
France
CNRS
France
MIT CSAIL, EMEA Campus
Switzerland
Jozef Stefan Institute
Slovenia
Conception X
United Kingdom
Universidad Carlos III de Madrid
Spain
Dresden University of Technology
Germany
EPFL
Switzerland
Université Paris-Saclay
France
Know Center Research GmbH
Austria
CNRS/IN2P3
France
Universidade NOVA de Lisboa
Portugal
GRADIANT
Spain
Centre for Research and Technology Hellas (CERTH) – Information Technologies Institute (ITI)
Greece
Join us on 12 November 2026, from 15:30 to 16:30 CET, for the webinar ‘Shaping AI in Science in Europe, by Scientists and for Scientists’, organised by the SCIANCE project as part of AI Innovation Month.
This report presents the state-of-the-art review on AI in science carried out by the SCIANCE project, providing a structured, evidence-based assessment of five scientific pilot domains: Astronomy and Fundamental Physics, Earth Sciences, Life Sciences, Materials Science, and Social Sciences and Humanities.
This report reviews the state of the art in artificial intelligence research and technological development for scientific research.
This report describes the structured directory of European infrastructures, initiatives, platforms and projects relevant to Artificial Intelligence in Science, together with an analytical assessment of the current landscape on AI in science in Europe.
This report presents the development of a cross-domain registry of good practices in AI-enabled science.
RAISE brings together information, infrastructures, initiatives and knowledge to support the development of AI-enabled scientific research across Europe. The aim is to provide an integrated gateway where scientists, AI researchers, infrastructure providers, innovators and policymakers can explore the ecosystem, collaborate and contribute to shape the future of AI in Science.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Science Infrastructure Landscape”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “Frugal AI for Science”, supporting the identification of strategic priorities for RAISE.