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.​

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