AI for Net Zero Research Community
Our ADD-TREES project is one of seven individual AI for Net Zero projects to receive funding from the UKRI AI for Net Zero Funding Call – which will research novel Artificial intelligence techniques to enable UK’s net zero target.
These projects are investigating the use of artificial intelligence (AI) in addressing net zero challenges across four themes: energy, transport, environment agricultural and food systems, to find solutions for net zero challenges through the development and use of AI and create a community of AI and Net Zero researchers.
Below you can find out more about the projects and how you can get involved.
Get Involved with AI for Net Zero
Our research teams and collaborating partners are keen to build a strong community of researchers and practitioners working on AI solutions to the net zero challenge.
We would love to invite more people into the community and to help bring us all together we are organising a number of events and activities.
In May 2024 we hosted a collaborative workshop with stakeholders from across business, policy making and research communities.
And starting in June 2024, the Eco-AI project is coordinating an exciting webinar series with speakers from across the AI for Net Zero Programme. The webinars are open to all and recordings will be available on the AI for NetZero YouTube channel.
Follow our social media accounts for regular updates as further events and activities are developed.
Eco-AI: Enabling CO2 capture and storage using AI
Lead Professor Ahmed Elsheikh, Herriot-Watt University
VPP-WARD: Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation
Lead: Professor Hongjian Sun, Durham University
FlowAI: Real-time digital optimisation and decision making for energy and transport systems
Lead: Georgios Rigas, Imperial College London
AI4AD: Artificial intelligence enabling future optimal flexible biogas production for net-zero
Lead: Dr Michael Short, University of Surrey
Miscanthus AI: Plant selection and breeding for Net Zero
Lead Professor John Doonan, Aberystwyth University
Self-Learning Digital Twins for Sustainable Land Management
Lead: Professor Heiko Balzter, University of Leicester
ADD-TREES: AI-elevated Decision-support via Digital Twins for Restoring and Enhancing Ecosystem Services
Lead: Professor Danny Williamson, University of Exeter
