One-day workshop: potential for novel AI methods to improve the observation and management of UK wildfires

One-day workshop: potential for novel AI methods to improve the observation and management of UK wildfires

Thursday 6th November 10:00- 16:00, at the University of Exeter, Streatham Campus (building/room TBC)- register by 30th October (link below)

Dear colleagues and wildfire experts,  

We cordially invite you to join our one-day workshop at the University of Exeter, exploring the potential for novel AI methods to improve the observation and management of UK wildfires.   

This short workshop will have an academic and practitioner group for a focused discussion to:   

1. Hear from academic and practitioners (Forestry Commission, Met Office, UKHSA and more!) about the current state of the art in operational use of AI and digital tools to understand and manage UK wildfires  
2. Look at some emerging AI methods of possible benefits, including:  

1. Novel "geospatial foundation model" approaches to improve monitoring of wildfires using satellite imagery.  
2. Early warning systems using machine learning and sensor networks (case study of flooding with possible extension to wildfires).  
3. Digital twins and other decision support tools.  
4. Smart agents and chatbots for access to environmental data.  
5. Others TBC  

1. Discuss possible application areas and opportunities for co-designing development going forward.  

Practical information  

• The workshop will be held on 6th November 2025, between 10:00 and 16:00, at the University of Exeter, Streatham Campus (building/room TBC), with lunch and refreshments provided.  
• Please fill in the following form to confirm your attendance: https://forms.cloud.microsoft/e/sBEHsu7NWL  
• Please note that the registration deadline is set to Thursday 30th November 
• Feel free to circulate this invitation to anyone interested!  

We are looking forward to seeing you at the workshop!  

The wildfire workshop committee,  

Chunbo Luo, Claire Belcher, Hywel Williams, Remy Vandaele r.vandaele@exeter.ac.uk