The AI Research and Experimental Design Working Group focuses on the next generation of AI methods that transform how scientific research is conceived, executed and validated.
The group explores autonomous laboratories, AI-assisted hypothesis generation, foundation models for science, laboratory automation, high-throughput experimentation and human-AI collaboration throughout the scientific process. Bringing together AI researchers, domain scientists and infrastructure experts, it investigates methodological advances that can be transferred across scientific disciplines while promoting reproducibility, interoperability and responsible AI adoption.
Exploring AI systems that support hypothesis generation, experimental planning and scientific reasoning.
Investigating robotics, laboratory automation and closed-loop experimentation.
Assessing opportunities and limitations of large AI models across research domains.
Identifying transferable methodologies that benefit multiple research communities.
RAISE FORUM enables structured discussion, consultation, and feedback across the AI in Science community.
You can participate in two ways:
Access the Working Groups – invitation-based groups for selected experts in specific domains and topics.
Join the Community Discussions – open exchange on AI in Science topics.
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
DFKI
Germany
Department of Artificial Intelligence, ELTE Eötvös Loránd University
Hungary
AISSAI Center, CNRS
France
Wageningen University and Research
Netherlands
eScience Center
Netherlands
University of Edinburgh
United Kingdom
University of Málaga
Spain
Eindhoven University of Technology
Netherlands
Institute of Communication and Computer Systems (ICCS), National Technical University of Athens (NTUA)
Greece
Universität zu Köln
Germany
Biofisika Institute
Spain
Georg August University Göttingen
Germany
Univerisity Alexandru Ioan Cuza of Iasi and Institute of Legal Research at Romanian Academy
Romania
University of Amsterdam
Netherlands
CNRS
France
ETIS Lab, CY Cergy Paris University
France
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.
This report documents the findings and co-creation outcomes of the European SCIANCE workshop titled
“Automation of Lab Workflows & Collaboration,” which aimed to define strategic research and innovation priorities
for Europe’s upcoming AI-in-Science infrastructure roadmap
This report presents the findings and co-creation outcomes of the European SCIANCE workshop on “Experimental
Design & Policy Support,” a key initiative under the Resource for AI Science in Europe (RAISE) project framework.
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.