| Principal Investigator | Andreas Xydis |
| Institution | University of Lincoln |
| Funding awarded | £2,418.47 |
| Project duration | July 2025 – September 2025 |
This project developed a shared ontology and tagging system to support community engagement activities across AI and bioscience communities. The aim was to create a common framework for organising resources, improving knowledge exchange, and promoting collaboration across disciplines.
Key Outputs
- A shared glossary of AI and bioscience terminology, built using NLP methods applied to AIBIO-UK Conference 2025 talks and open scientific resources.
- Community resources to support a common understanding of terminology across disciplines.
- A public GitHub repository containing the project resources and outputs.
Impact
The project has strengthened knowledge sharing between AI and bioscience communities by reducing terminological barriers and promoting a more consistent use of key concepts. Through the development of a shared glossary and openly accessible resources, the project supports clearer communication, improved collaboration, and greater accessibility of interdisciplinary research.