The Data Science and Advanced Analytics Working Group addresses the data foundations that enable AI-driven scientific discovery.
It focuses on data governance, semantic interoperability, metadata, FAIR data, scalable data engineering, advanced analytics and data preparation for AI. The group promotes best practices for managing increasingly complex scientific datasets while supporting interoperability across research infrastructures and scientific disciplines. Its objective is to strengthen Europe’s capacity to build reliable, reusable and AI-ready scientific data ecosystems.
Improving data quality, metadata and lifecycle management for AI applications.
Developing common standards and semantic approaches for research data.
Exploring scalable analytical methods for complex scientific datasets.
Investigating opportunities, validation methods and potential risks.
It supports the exchange of perspectives on priorities, challenges, and opportunities in AI for science.
This community focuses on scientific data management, analytics and interoperability. Discussions include FAIR data, metadata standards, data engineering, semantic technologies and practical approaches for enabling AI across research domains.
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
BDVA
Belgium
TNO
Netherlands
University of Galway
Ireland
Luxembourg Institute of Science and Technology
Luxembourg
i2CAT Research Center
Spain
Barcelona Supercomputing Center
Spain
TU Wien
Austria
University of Galway, Insight Centre for Data Analytics, BDVA, ADRA
Ireland
Netcompany
Greece
Universidad Politécnica de Madrid
Spain
Universitat Rovira i Virgili
Spain
Fraunhofer Institute for Open Communication Systems FOKUS
Germany
Bloodstone Consulting Oü
Portugal
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.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI for Data Science & Advanced Analytics”, supporting the identification of strategic priorities for RAISE.