An initiative of the European Commission
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  • SCIANCE

Call: AI in Science Working Groups

The AI in Science Working Groups (AISWGs), established under the Horizon Europe-funded SCIANCE project, bring together experts in artificial intelligence, scientific research, research infrastructures, HPC, Open Science and innovation to co-create the European Strategic Research & Innovation Agenda (SRIA) for AI in Science.

Timeline

Call Open April 2026
Call Closed May 2026

AI in SCIENCE Working Groups

We have identified 150+ experts who will, through the AI in Science Working Groups (AISWGs), contribute to the Strategic Research & Innovation Agenda (SRIA) and to the advancement of AI-driven scientific discovery.

If you want to be kept in the loop about the AISWG results, or participate in any future consultations, please subscribe to our newsletter.

About SCIANCE and RAISE
SCIANCE is a Horizon Europe Coordination and Support Action establishing the foundations for the Resource for AI Science in Europe (RAISE). The project brings together leading research infrastructures, scientific organisations, and AI centres of excellence to strengthen the integration of artificial intelligence in scientific research.

Through a collaborative and community-driven process, SCIANCE develops the AI in Science Strategic Research and Innovation Agenda (SRIA), identifying key research challenges, priorities for AI-enabled discovery, and the infrastructure upgrades needed to support them.

The RAISE initiative aims to provide a long-term European framework connecting AI technologies, research infrastructures, computing resources, and scientific communities to accelerate discovery across disciplines.

AISWG Overview

Astronomy and Fundamental Physics

Research in astronomy and fundamental physics, domain-specific AI applications and data science, HPC and AI infrastructures, research infrastructures (CERN, SKA, LOFAR)

SCIANCE co-chairs: Sascha Caron (Nikhef) & Anna Scaife (Manchester University)

Materials Science

Research in materials science, domain-specific AI applications and data science, HPC and AI infrastructures, research infrastructures (CERIC-ERIC, ESRF, ILL, NOMAD)

SCIANCE co-chair: Andrey Ustyuzhanin (CU)

Life Sciences

Research in life science, ethical, legal and societal implications (ELSI) for life science data, domain-specific AI applications and data science, HPC and AI infrastructures, research infrastructures

SCIANCE co-chairs: Dorothea Dörr, Beatriz Serrano-Solano (Euro-BioImaging)

Earth Sciences

Research in climate science, agriculture, land use, water resources, ecosystems, biodiversity and urban studies, Earth observation systems, domain-specific AI applications and data science, HPC and AI infrastructures, research infrastructures

SCIANCE co-chair: Mariana Belgiu (UT-ITC)

Social Sciences and Humanities

Research in social sciences and humanities, domain specific AI applications and data science, HPC and AI infrastructures, research infrastructures (heritage, health, data archives, arts and humanities)

SCIANCE co-chair: Roberto Trasarti (CNR-ISTI)

AI Research and Experimental Design

Autonomous laboratories, high-throughput experimentation, physics-informed and hybrid AI models, LLMs and NLP for science, AI co-scientist, lab and workflow automation, interdisciplinary AI model development and data standards, AI skills development

SCIANCE co-chair: Andrea Loesch (DFKI)

Data Science and Advanced Analytics

Data governance and lifecycle management, semantic interoperability, data quality and preparation for AI, scalable and distributed data engineering, advanced analytics, data visualisation, synthetic data generation, metadata and open research libraries

SCIANCE co-chair: Daniel Alonso (BDVA)

AI and Computing Infrastructures

HPC, AI Factories, EOSC ecosystems, scholarly knowledge graphs, data labs integrated with AI infrastructures, research software, operational coordination of research and AI infrastructures, infrastructure policy and governance, ESFRI infrastructures

SCIANCE co-chair: Andrea Manzi (EGI)

Open Science and Trustworthy AI

Open and trustworthy AI for scientific research, integrity and reproducibility, open science policy, legal and IPR frameworks (AI Act, GDPR), data protection, privacy and ethic, data-sharing regulations

SCIANCE co-chair: Natalia Manola (OpenAIRE)

Industry, Innovation and Frugal AI

AI innovations for scientific research, AI-enabled laboratory systems and workflows, AI Factories across pilot areas, cloud providers for research, GenAI for science, AI industry technology developments, frugal and resource-efficient AI

SCIANCE co-chair: Edina Nemeth (SZTAKI)

Read more about the AISWGs

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