Events
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Wildfire Risk Modeling Exercise
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Participate in the first ever, dedicated Wildfire Risk Modeling Exercise!
Call to Action - Wildfire can be beneficial to some ecosystems in certain conditions however, we're currently experiencing an increasing trend in wildfires destroying thousands of buildings, claiming lives, and resulting in negative economic impacts with annual costs estimated in the hundreds of billions of dollars.
Yet we struggle to consistently measure, understand, and predict fire risk - the very foundation of mitigation. In response, there is an influx of science and technology developments in wildfire hazard exposure, risk quantification, and prediction.
Now more than ever, we need to understand the unique strengths of wildfire risk models, and identify how models can be ensembled to achieve the most precise intelligence on fire risk.
- Location: Exercise Conduct is Virtual.
- A post-exercise hotwash workshop will be conducted as a hybrid event, exact date and location for the hot wash are to be determined.
- When: Exercise Conduct runs from March 16 through May 15, 2026.
- Participating organizations engage in exercise conduct on their own schedules during this timeframe.
- Deadline to register is March 9, 2026.
- Who: All organizations that have developed a wildfire risk model.
Register by March 9, 2026 via the button below.
Wildfire Commons Webinar: What are Case Study Communities
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Join us to explore how the Wildfire Commons is supporting the acceleration of technological innovations for wildfire management and mitigation through collaborative case studies. We'll highlight the 4D Fuels Case Study, and preview our upcoming Digital Twin Case Study launching this spring. Learn how these community-driven initiatives are accelerating data sharing, fostering cross-sector partnerships, and building the foundation for next-generation wildfire management tools.
Shrubwise Data Challenge
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In this data challenge, participants will design and implement techniques to map shrub distributions (including both cover and height) at high spatial resolution (1 m). Your goal is to build a machine learning pipeline that accurately characterizes shrub ecosystems by integrating multiple geospatial datasets.
Register by February 20, 2026 to receive priority support by going to Shrubwise Data Challenge on https://fireforge.wildfirecommons.org/
- Thursday, February 19, 2026: Sprint 1 modules available
- Thursday, March 5, 2026: Sprint 2 modules available
- Thursday, March 19, 2026: Sprint 3 & 4 modules available
- Friday, April 3, 2026: Last day to register a team
- Sunday, April 5, 2026: Modules from sprints 1-3 due by 10 pm Pacific
- Sunday, April 19, 2026: Final module (sprint 4) due by 10 pm Pacific
- Friday, May 1, 2026: Winners announced!
Wildfire Commons: Shrubwise Data Challenge Launch Event
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Next-generation 3D vegetation and fire models can enable the new tools fire managers need for real fuel and fire management solutions. Low-lying woody vegetation is an essential driver of fire behavior, but its structure and distribution is complex to predict at fine scales and in three dimensions. New machine learning approaches to predict the spatial distribution of shrubs will dramatically improve the ability to forecast site-specific fire behavior and effects.
Slides are available from the launch event here.
[AGU25] Community Posters: Community Session for Wildfire Science and Technology Commons - Open Collaborations for a Wildfire Resilient Future
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Community Posters: Community Session for Wildfire Science and Technology Commons - Open Collaborations for a Wildfire Resilient Future
Monday, December 15, 2025 | 2 pm - 6:45 pm Central Time
Location: Poster Hall
[AGU 25] Community Session for Wildfire Science and Technology Commons: Open Collaborations for a Wildfire Resilient Future (NH12A)
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Oral Presentation: NH12A - Community Session for Wildfire Science and Technology Commons: Open Collaborations for a Wildfire Resilient Future I Oral
Monday, December 15, 2025 | 10:30 am - 12:00 pm Central Time
Location: 295-296 (New Orleans Convention Center)
Conveners: Ilkay Altintas, Marissa Christiansen, and Claire Stirm
Presentations by: David Saah, Ann Kapusta, and community members
[AGU 25] Poster: A Pathfinder for the Firemap Extended Attack Modeling in the Wildfire Science and Technology Commons (SY11B)
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Poster: A Pathfinder for the Firemap Extended Attack Modeling in the Wildfire Science and Technology Commons (SY11B: Impactful Science: Methods and Metrics I Poster)
Monday, December 15, 2025 | 08:30 am - 12:00 pm Central Time
Location: Poster Hall
Presenters: Ilkay Altintas, Melissa Floca, and Claire Stirm
Wildfire Commons Webinar: Synoptic
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Synoptic Data was formed to transform weather data collection and create a comprehensive, real-time source of information that anyone could access. With a passion to provide access to data for all, they are building a platform where valuable weather and environmental information from hundreds of data sources—ranging from personal weather stations to government networks—come together seamlessly. Join us on November 10, 2025, at 12 pm PDT to hear from Melanie Scott and Miranda Bitting to learn how to use Synoptic's Viewer and apply for the Open Access Program. You will also be able to see a working example of Synoptic data being used in the Wildfire Commons.
View the Synoptic public workspace at: https://fireforge.wildfirecommons.org/workspaces/ffa56a78-fdb0-4d29-9725-7a9bba3581b9
Wildfire Commons Webinar: FireLines - Mapping Networks and Gaps in Wildfire Resilience
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FireLines, developed by the Climate & Wildfire Institute (CWI), is a first-of-its-kind network mapping platform that visualizes the wildfire resilience ecosystem. Using graph-based data, machine learning, and semantic search, FireLines uncovers connections between projects, funders, agencies, and communities, highlighting gaps, overlaps, and opportunities for coordination. Hear from Marissa Christiansen, CWI’s Executive Director, as she explores how FireLines will help agency, nonprofit, and funding partners align their resources for maximum impact.
Take the survey at: https://forms.gle/EeooC8RyQRNdU2ucA
Wildfire Commons Webinar: Data, Tools, and Services from the USGS Earth Resources Observation and Science (EROS) Center
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The USGS EROS is home to one of the largest civilian archives of remote sensing data, containing almost 90 years of satellite and aerial data. This webinar will provide an introduction to some of the datasets available from the USGS EROS, including Landsat, LANDFIRE, Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS), Annual National Land Cover Database (NLCD), and more. Details on the tools and services that are available to access and help work with the data will also be provided, along with condensed walkthroughs of some of the tools.
Slides are available at: USGS EROS Webinar Slides
Wildfire Commons Launch Event
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On July 31, 2025, at 10 am PDT, we launched the Wildfire Commons! Learn how you can access open data, models, services, and more, utilize the FireForge workspace to explore cutting-edge science and share your expertise and project initiatives with the community - all in a focused platform on wildfire resilience.
Slides are available at: Wildfire Commons Launch Slides
Wildfire Commons Webinar: Earth Fire Alliance
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Earth Fire Alliance is championing a new era of wildfire monitoring tools and technology. Their flagship program, the FireSat constellation, will deliver transformative, near-real-time wildfire detection and monitoring to first responders, incident commanders, and scientists around the globe. Hear from Ann Kapusta, Earth Fire Alliance's Early Adoption & Community Engagement Lead, as she speaks to the missions underway for the FireSat program and how the community can become involved in early engagement in the development of data products and data integrations as high-fidelity, accessible data from all wildfires on Earth starts to come in from this flagship program. Review the webinar slides.
Wildfire Commons Webinar: WUI Data Commons
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Increasingly, large and destructive wildfires are devastating WUI communities and destabilizing homeowners insurance markets. In the face of these rapidly changing conditions, insurers and reinsurers need accurate and comprehensive information to better understand and manage the risk. Concurrently, homeowners and fire service professionals need information that will allow them to understand the threat to their neighborhoods and what they might be able to do about it. Join us for a presentation about the WUI Data Commons, an effort led by Nancy Watkins and Taylor Munch at Milliman.
Wildfire Commons Webinar: Western Fire & Forest Resilience Collaborative
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The Western Fire and Forest Resilience Collaborative (WFFRC) is a research program designed to accelerate scientific discoveries that will enhance forest resilience and wildfire decision making. The Wildfire Commons is excited to partner with the WFFRC. Through this webinar, the WFFRC will share opportunities and updates with the community on how to get involved with community activities, including town halls and upcoming events.
American Geophysical Union (AGU) 2024
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Members of our team connected with the community and presented at AGU 2024:
- National Data Platform: Bridging the Data Gaps for Science and AI
- Wildfire Technology Commons: Accelerating Wildfire Management and Mitigation Solutions through an Open and Inclusive Community of Practice
ProWESS Data Challenge Launch Event
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The Wildfire Commons is excited to share with the community details around the upcoming ProWESS Data Challenge. Watch the event recording to learn about this challenge and the anticipated outcomes from this multi-week experience.
Wildfire Science & Technology Commons Launch Event
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We were thrilled to have so many community members join us for our live launch event and hear about the activities planned within this NIST-supported effort. If you missed the live event, you can review the slides and watch the recording linked here:
The Wildfire Science & Technology Commons is a UC San Diego initiative funded by the National Institute of Standards and Technology (NIST).
