AI Researchers is developing practical resources to support responsible, confident use of AI in research and supervision. This page will host the project’s public resources as they become available, alongside a small set of background references used across Europe.
If you are new to the project, this pathway shows how the resources connect:
Start with the AI Adoption Barriers Report to see what supervisors and higher education leaders identify as key barriers, concerns and enabling conditions.
Use the AI Engagement Framework to identify realistic actions you can implement in your department, research group or researcher development setting.
Use the AI Readiness Toolkit to run discussions, trial low-burden changes and support supervisors and researchers with scenarios, prompts and facilitation guides.
Use the AI Mentor Training Manual to support those who train supervisors and research staff, and the Certified Online Course for structured learning with early career researchers.
Links will appear here as resources are published and will remain stable for sharing and reuse.
A synthesis of what supervisors and higher education leaders report as key barriers, concerns and drivers for responsible AI adoption in research settings.
Practical interventions that can be adopted in departments and researcher development settings to support responsible AI use.
Reusable resources to support implementation, including scenarios, short case studies, discussion prompts and facilitation guides.
Guidance and materials for those supporting supervisor development and research staff development, including workshop outlines and peer learning formats.
Structured learning for early career researchers, designed to build practical AI literacy for research.
A baseline reference for good research practice, supporting transparency and accountability.
Practical guidance on responsible use and disclosure in research contexts.
A shared competence language that supports researcher development across Europe.
A reference point for how AI governance is evolving in Europe.
We welcome engagement from academic supervisors, higher education leaders, research support staff and early career researchers. If you would like to take part in project activities or share your perspective on AI in research and supervision, please contact us.
