Symposium: AI for Engineering Biology – Transatlantic cooperation on data, models and standards
Symposium |
AI for engineering biology, focused on transatlantic cooperation on data, models and standards |
Focus areas |
Detecting, preventing and treating disease; food systems; biomanufacturing |
Organisers |
Hosted by the UK government, in partnership with the University of Edinburgh. Supported by the Scottish Government. |
Output |
Full symposium report, prepared by Inclusive Innovation, available to download below. |
About the symposium
The UK government and the University of Edinburgh convened this symposium to address a central challenge in engineering biology: assembling high-quality, interoperable and trustworthy data that AI systems can use effectively.
This challenge sits at the centre of national strategies in both the UK and the US. The UK government's AI for Science Strategy and the US government's Genesis Mission both identify AI-enabled science as a priority for the coming decade, with an improved data landscape as a shared requirement across scientific domains.
The symposium brought together experts from academia, industry, funding bodies and government institutions from both countries. Discussions examined the opportunities and challenges of AI-ready data, models and standards in engineering biology through a cross-disciplinary, transatlantic lens.
Key discussion areas
Symposium discussions focused on three application areas:
Download the report
Inclusive Innovation prepared this report on behalf of the symposium organisers. It captures the key themes and insights that emerged from the discussion, with a high-level summary of the opportunities, challenges and potential actions identified by participants, and a detailed analysis of each application area.
The report is intended to support ongoing dialogue between UK and US partners and to inform future activity in AI-ready data for engineering biology.
Symposium delegate list
