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

  • News
  • SCIANCE

ERCIM News: SCIANCE: AI for Scientific Discovery in Europe

In July 2026, SCIANCE is featured in the ERCIM News special theme issue ‘E-values: Statistical Testing for the 21st Century’

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  • Documents
  • SCIANCE
  • Industry and Innovation

Strategic Advisory Board Engagement Plan

The Strategic Advisory Board (SAB) of the SCIANCE project provides high-level guidance to ensure the scientific and strategic quality of project outputs.

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  • Documents
  • SCIANCE

Data Management Plan

The Data Management Plan for the SCIANCE project focuses on data collection, usage and sharing activities within the project. It also describes how data is protected, made accessible and available according to existing regulations and the project’s Grant Agreement.

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  • Documents
  • SCIANCE
  • AI Research

Mapping Methodology

The SCIANCE Mapping Methodology provides a structured, scalable, and evidence-based approach to analysing the European landscape of Artificial Intelligence (AI) in Science.

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  • Documents
  • SCIANCE
  • AI Research

Project Handbook

The Project Handbook supports the consortium partners in the effective and efficient management of the activities performed in the framework of SCIANCE project.

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  • Documents
  • SCIANCE
  • Open Science and Trustworthy AI

Communication, Dissemination and Exploitation Strategy

The SCIANCE Communication, Dissemination, and Engagement framework defines an integrated approach to building visibility, fostering stakeholder engagement, and ensuring the uptake, exploitation, and long-term impact of project results within the emerging European AI in Science ecosystem.

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  • News
  • AI Science Community
  • SCIANCE
  • AI Research

AI in Science Working Groups Selection 

SCIANCE has concluded its call for experts for the AI in Science Working Groups (AISWG). Out of 665 applicants, 150 experts were selected.

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  • Calls & Consultations
  • SCIANCE

Call: AI in Science Working Groups

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