An initiative of the European Commission

SCIANCE

Shaping AI in Science, by Scientists, for Europe

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SCIANCE Project

The EU-funded SCIANCE project supports the development of the Resource for AI Science in Europe (RAISE) and coordinates AI-enabled scientific research across Europe through a bottom-up approach. The project mobilises leading European scientific organisations and research infrastructures across five pilot areas together with AI research centres and e-infrastructures. SCIANCE will identify AI-in-science research and innovation priorities and pilot the structure of the RAISE Secretariat for AI in science.

AI is rapidly reshaping how science is conducted. From analysing vast astrophysical datasets to accelerating drug discovery and improving climate modelling, AI is becoming a fundamental driver of scientific discovery. However, despite significant investments and technological progress, Europe’s AI-enabled research landscape remains fragmented across disciplines, infrastructures, and communities. The SCIANCE project was created to address this challenge and to help Europe harness AI’s full potential for scientific advancement.

What We Do

Combining disciplinary excellence across five pilot domains with state-of-the-art AI expertise and access to critical computing and data infrastructures, the consortium co-develops the Strategic Research and Innovation Agenda (SRIA) for AI in Science and pilots the long-term coordination structure Resource for AI Science in Europe (RAISE).

Built on a bottom-up scientific leadership model, SCIANCE ensures that priorities emerge directly from research communities. Scientific domain coordinators are supported by leading AI research institutes, major European e-infrastructures, and strong policy and industry networks, creating a unique alliance with the scientific depth, technological capability, infrastructure access, and governance expertise required to advance AI-enabled science across Europe.

Map the European
AI in Science Landscape

> Gather evidence on AI use in and for scientific research in Europe
> Deliver comprehensive state-of-the-art reviews and landscape analysis
> Identify good practices on AI-enabled science

Co-Define Strategic
R&I Priorities

> Identify SRIA priorities through expert inputs, co-creation workshops and community consultations
> AI in Science long-term challenges across scientific pilot areas
> AI for Science applications
> Interdisciplinary cooperation

Assess Infrastructure Upgrade Scenarios

> Identify gaps in computing, data access, governance, and skills for AI-enabled science
> Co-design upgrade scenarios and cooperation mechanisms, and evaluate their feasibility
> Develop a roadmap aligned with EU strategic initiatives

Enable AI in Science Community Building

> Pilot for RAISE Secretariat, Digital Hub and Academy
> Organise community events at AI in Science summits (AIS)
> Support the development of  the European AI in Science Community

How We Work

SCIANCE adopts a bottom-up approach for the identification of AI in science research priorities, bringing together scientists, researchers, infrastructures experts through the AI in Science Working Groups to identify priorities and opportunities that reflect the needs from the research community. Through interdisciplinary exchanges, strategic feedback and community engagement, the project supports cross-domain cooperation, improves access to data, infrastructure and skills, and strengthens the visibility and integration of the European AI in Science ecosystem.

AI in Science Working Groups

SCIANCE Consortium

The SCIANCE consortium brings together leading scientific organisations, AI research centres, digital infrastructure providers, and policy experts to strengthen Europe’s AI in Science ecosystem.

Combining disciplinary excellence across five pilot domains with state-of-the-art AI expertise and access to critical computing and data infrastructures, the consortium co-develops the Strategic Research and Innovation Agenda (SRIA) for AI in Science and pilots the long-term coordination structure Resource for AI Science in Europe (RAISE).

European Science Foundation
Coordinator, co-creation of SRIA and roadmap, RAISE Secretariat.

EGI
Infrastructure scenarios, communications, community engagement, and events.

OpenAIRE
Open science, landscape analysis, good practices, stakeholder engagement, RAISE Academy pilot.

CNR-ISTI
Scientific coordinator for social sciences and humanities, data management.

Euro-BioImaging
Scientific coordinator for Life sciences.

Constructor University
Scientific coordinator for Materials science, good practices, interdisciplinary cooperation, cooperation mechanisms.

UT-ITC
Scientific coordinator for Earth sciences.

Manchester University
Scientific coordinator for astronomy.

NIKHEF
Scientific coordinator for fundamental physics.

DFKI
AI infrastructure mapping and AI for science research.

HUN-REN SZTAKI
AI for science research and landscape analysis.

BDVA
EU AI & data ecosystem, industry and policy alignment.

News & Events

  • Events
  • RAISE
  • SCIANCE
09 Nov 2026

INSPIRING ERA Exchange: Responsible Acceleration of Discovery in the Age of AI

Explore how AI can accelerate scientific discovery while safeguarding research integrity, transparency and human accountability. Exchange practical experiences, discover AI in Science best practices from across Europe and contribute to discussions on responsible institutional AI adoption.

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  • Documents
  • SCIANCE
  • Interdisciplinary Cooperations

Deliverable: State of the art on AI-enabled scientific research

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.

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  • Documents
  • SCIANCE
  • Interdisciplinary Cooperations

Deliverable: State of the art on AI research & innovations for scientific research

This report reviews the state of the art in artificial intelligence research and technological development for scientific research.

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  • Documents
  • SCIANCE
  • Interdisciplinary Cooperations

Deliverable: Landscape Analysis of European AI in Science Infrastructures & Initiatives

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.

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  • Documents
  • SCIANCE
  • Interdisciplinary Cooperations

Deliverable: Registry of good practices in AI-enabled Science

This report presents the development of a cross-domain registry of good practices in AI-enabled science.

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  • Events
  • AI Science Community
  • SCIANCE
  • Fundamental Physics
  • Interdisciplinary Cooperations
  • Data Science and Advanced Analytics
12 Nov 2026

Webinar: Shaping AI in Science in Europe, by scientists and for scientists

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.

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  • Events
  • RAISE
  • SCIANCE
15 Oct 2026

Accelerating discovery with RAISE

Session curated by SCIANCE at AIS2614.45 – 15.30 (45min), Thursday 15 October 2026

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  • News
  • RAISE
  • SCIANCE

Launching the Registry of Good Practices in AI-enabled Science

SCIANCE is launching the Registry of Good Practices in AI-enabled Science, which is a growing collection of practical examples demonstrating the effective and responsible use of AI across different scientific disciplines and research settings. The Registry is designed to capture the practical experience of the research community and identify lessons that can be shared across fields.

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