An initiative of the European Commission

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.

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. It combines coordinated communication, structured dissemination, and continuous engagement to support the co-creation, validation, and exploitation of the Strategic Research and Innovation Agenda (SRIA).

The communication strategy establishes a coherent project identity and consistent messaging across channels, structured on a common branding framework, aligned with European Commission requirements, and the broader RAISE ecosystem. A central component is the RAISE Digital Hub, which integrates curated content and interactive engagement through a two-layer architecture, comprising a content platform and a community forum. This enables both structured publication of project outputs and continuous stakeholder interaction via Working Groups, consultations, and co-creation processes.

The dissemination and exploitation strategy is structured around community building and co-creation, visibility and awareness, and dissemination and uptake. These are implemented through an events programme including the AIS Summits, thematic workshops, consultation activities, and a final dissemination event, complemented by active participation in key European and international policy and research forums. External participation ensures alignment with EU initiatives and research infrastructures such as EOSC, EuroHPC JU, and ESFRI, while strengthening pathways for uptake and exploitation of SCIANCE outputs.

Overall, the framework provides a structured, adaptive, and evidence-based approach to communication, dissemination, exploitation, and engagement, ensuring that SCIANCE results are co-developed with stakeholders, widely adopted, and embedded within the wider European AI Science ecosystem.

Disclaimer: This project deliverable has been submitted to the European Commission and is pending formal review and approval by HaDEA.

Similar Documents

  • 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.

  • 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.

  • 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.

  • 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.

  • Documents
  • AI Research

Workshop Report “Automation of Lab Workflows & Collaboration”

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

  • Documents
  • AI Research

Workshop Report “Experimental Design & Policy Support”

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.

  • Documents
  • AI Science Community
  • RAISE
  • Interdisciplinary Cooperations

AI in Science Community

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.

  • Documents
  • AI Science Community

AI in science​ Good Practices​

SCIANCE is identifying and analysing good practices in AI-enabled science. The aim is to identify transferable lessons that can inform researchers, research organisations, infrastructures and the wider European AI-in-Science community.​

  • Documents
  • AI Science Community
  • Interdisciplinary Cooperations
  • AI and Computing Infrastructures

AI in Science​ Infrastructure Landscape​

SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Science​ Infrastructure Landscape​”​, supporting the identification of strategic priorities for RAISE.

  • Documents
  • AI Science Community
  • Frugal AI Models
  • Industry and Innovation

Frugal AI for Science

SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “Frugal AI for Science”​, supporting the identification of strategic priorities for RAISE.

  • Documents
  • AI Science Community
  • Open Science and Trustworthy AI

AI for Open Science &​ Trustworthy AI​

SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI for Open Science &​ Trustworthy AI​​​​”​, supporting the identification of strategic priorities for RAISE.

  • Documents
  • AI Science Community
  • Experimental Design 

AI for Research &​ Experimental Design​

SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI for Research &​ Experimental Design​​​”​, supporting the identification of strategic priorities for RAISE.