Numerical wildfire and AI Weather Workshop Announcement - Call for Participation

 

 

 

 

 

 

 

 

 

 

Numerical Wildfire and AI Weather is a small, high-level scientific workshop bringing together leading experts in weather AI, numerical wildfire forecasting, and fire-atmosphere interactions. The workshop is designed as an intensive, on-site event. Unlike large conferences, this small-group format allows for extended scientific exchanges, joint project work, and a strong interdisciplinary approach. The goal is to bridge the gap between cutting-edge research and operational needs by focusing on real-world applications of AI, numerical modeling, and risk assessment.

Organizing committee: Jean-François Muzy,Laure Raynaud, Alberto A., Christophe Paoli, Rachel Baïle, Roberta Baggio are pleased to announce the upcoming scientific workshop:

• Numerical Wildfire and AI Weather 2025 
• Institut d’Études Scientifiques de Cargèse (IESC), Corsica, France
• November 3–7, 2025
• More info: https://forefireapi.github.io/cargese2025/  

Organized with the support of CNRS, Université de Corse Pascal Paoli, ANR Saphir, and the FIRE-RES program and in the frame of NERO Network, this workshop will bring together a selected group of researchers and experts working on:

• AI-enhanced weather prediction
• Numerical wildfire simulation
• Fire-atmosphere interactions
• Risk assessment & operational forecasting tools

Registration & Abstract Submission

To participate, submit a short abstract (max. 300 words) with a title.

• Submission guidelines: https://forefireapi.github.io/cargese2025/ 
• Deadline (first round): July 30, 2025
• Only 30 participant slots — first come, first served!

Fees

• Approx. 400?€ – covers on-site accommodation and lunch for the week.
• Free for members of Université de Corse.
• Evenings are free and flexible for participants.

Program Highlights

• Days 1–2: Wildfire science — fire modeling, coupling with mesoscale weather models, operational simulation
• Days 3–4: AI and weather — ML for extreme event prediction, hybrid modeling, uncertainty quantification
• Day 5 (AM): Synthesis + discussion with operational users and agencies

We welcome contributions from researchers, practitioners, and developers working at the crossroads of:
#WildfireScience #NumericalWeatherPrediction #ArtificialIntelligence #ClimateRisk #FireModeling #DisasterResponse #AIForGood #EnvironmentalScience #CNRS #UniversitéDeCorse #ANR #FireRes #Cargèse #CorsicaScience

• Please share this call with your networks.
• Contact: filippi_j@univ-corse.fr
   

• Numerical Wildfire and AI Weather 2025 website