Fire Modeling Literacy for Risk-Informed Decision Making
As wildfires grow in scale and complexity, the models we use to understand them must be equally diverse. From predicting fire spread in threatened communities to projecting century-long shifts in forest composition, fire science relies on computational approaches tailored to vastly different questions, scales, and stakeholders.
Online Workshop: June 24–25, 2026
Day 1: 8:00 AM – 10:00 AM Pacific (UTC-7)
Day 2: 8:00 AM– 10:00 AM Pacific (UTC-7)
This June, join Dr. Alexandra Syphard as she pulls back the curtain on the use of fire modeling frameworks—revealing not just what each approach can accomplish, but where its limits lie and why those boundaries matter. Through comparative case studies, this workshop will illuminate a fundamental truth of fire science: there is no single “best” model, only tools matched—or mismatched—to the problems we’re trying to solve.
During this 2-day, 4-hour workshop, participants will:
• Establish a shared vocabulary for fire and fire modeling across sectors
• Be introduced to ignition, spread, and simulation modeling frameworks
• Build foundational literacy in modeling uncertainty (parameter, structural, scenario)
• Strengthen interpretation of probabilistic outputs and ensemble results
• Improve decision framing under uncertainty
Whether you’re looking to use science-based modeling to mitigate risks to your organization, a researcher seeking methodological insights, a fire operations professional seeking decision-support tools, or a policymaker navigating risk and resilience strategies, this session offers a rare opportunity to understand how model choice shapes what we can know about fire’s past, present, and future.
Meet Your Instructor

This training is for the global fire community — so we’ve made it affordable everywhere.
We’re offering discount codes to make this training accessible across country income levels (according to the latest World Bank country income classification):
Upper-middle income: 50% (code 50FMLP)
Lower-middle income: 75% (code 75FMLP)
Low-income: 90% (code 90FMLP)
Limited fee waivers available; contact us if needed
- Note: This workshop will be taught in the English language, however Zoom automated translated captioning will be available.

