An initiative of the European Commission

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.​

Context and scope​

AI is becoming embedded across the scientific research process, from hypothesis development and data analysis to experimental design, automation, publication and application. Alongside this rapid uptake, research communities are developing new approaches to ensure that AI-enabled science remains rigorous, transparent, reproducible and responsible.

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.

What are we looking at?​

How is AI integrated into scientific practice?​

Where in the research workflow is AI used, what role does it play, and how does it interact with researchers, data, tools and existing scientific methods?​

What enables good practice?​

Which combinations of skills, infrastructure, data, organisational support, governance, collaboration and community standards make effective AI use possible?​

What outcomes does AI enable?​

Does the practice improve scientific discovery, research quality, productivity, reproducibility, access to knowledge or the ability to address previously difficult research questions?​

What makes a good practice?​

SCIANCE considers good practice across six dimensions: Impact, Productivity, Transparency & Trustworthiness, Openness & Transferability, Ethical Awareness and Frugality. These dimensions are considered across the research workflow, from theory development and data collection to experimentation, analysis, automation, publication and application.​

Good Practices Collection​

  • 107 good practices submitted
  • 50 cases shortlisted​

The cases span different scientific disciplines, research settings and stages of the research workflow. ​

Explore the Registry​

The SCIANCE Registry of Good Practices in AI-enabled Science is available on the RAISE Hub.​

Explore the cases, see how AI is being used across scientific disciplines, and discover practices and lessons that may be relevant in other research settings.​

Share your own experience and good practices with the rest of the community on the RAISE Forum.​

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.

View
  • 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.

View
  • 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.

View
  • 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.

View
  • 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

View
  • 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.

View
  • 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.

View
  • 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.​

View
  • 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.

View
  • 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.

View
  • 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.

View
  • 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.

View