Project Grant 60NANB23D222
- This three-year Project Grant from the National Science Foundation supports research into wildland fire observation, management, and evacuation systems. With $144,967 in funding, the award will develop intelligent collaborative flying and ground systems to aid in monitoring, responding to, and evacuating areas threatened by wildfires. The awardee is the University Corporation for Atmospheric Research, operating through its National Center for Atmospheric Research facility in Boulder, Colorado....
- This $389,332 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop improved computer models and simulation tools to better predict how wildfires spread in areas where forests and natural areas meet cities and towns, known as the wildland-urban interface (WUI). The key objectives are to: 1) Gain a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local...
- This Project Grant award of $411,900.00 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the development of a convergent framework for next-generation wildfire evacuation simulation. The research aims to create realistic artificial intelligence (AI) agents powered by large language models, reinforcement learning, and multi-modal datasets to improve the behavioral realism, prediction accuracy, and decision-support capability of wildfire evacuation simulation...
- The National Science Foundation awarded a $100,000 Project Grant to the University of California, Berkeley under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop context-specific scientific simulation models and an advanced visualization platform to mitigate wildfire risks. The award period is from July 1, 2022 to June 30, 2023. Specifically, the University will create an integrated simulation framework capturing the dynamics of wildfire evacuation, including...
- This $390,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to improve the understanding and modeling of fire spread in the wildland-urban interface (WUI), where forests and natural areas meet cities and towns. The key objectives are to: Develop a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local scale. Investigate how these localized interactions influence...
- This Project Grant award from the National Science Foundation's Biological Sciences Program (CFDA 47.074) will develop an advanced Artificial Intelligence (AI) and Machine Learning (ML) framework to improve the understanding and prediction of wildland fires. The $867,245 grant, awarded to American University, will integrate multimodal geoscientific data from various platforms to create a comprehensive dataset for wildland fire detection and forecasting. The research team will address key...
- This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $293,532 to Boise State University to conduct research on understanding vulnerability to wildland fire. The project analyzes wildfire disturbance as a multi-scalar system, examining how factors like fire exposure, demographics, and risk management capacity influence wildfire impacts on communities. Key objectives include: 1) analyzing national-scale patterns of wildfire...
- This $2,496,689 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will establish the FIRE-NET network to develop a new framework for "fast fire risk" across the western United States. The goal is to better understand and predict the growing threat of fast-moving wildfires that have become more frequent and destructive in recent years. The project will leverage expertise across multiple disciplines to create advanced data modeling and...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to gain predictive understanding of the physical processes driving rapid wildfire spread and associated smoke transport. The $108,519 award to the University of Oklahoma will support research to analyze non-modal instability and large-scale turbulent flows in fire-generated smoke plumes. This work will help guide firefighters to more safely and effectively suppress wildfires by improving...
- This SBIR Phase II Cooperative Agreement award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) provides $1,231,473 to Wui-Go, LLC to develop a decentralized evacuation intelligence platform powered by generative AI. The project aims to enhance public safety and community resilience in wildfire-prone areas through personalized evacuation planning and real-time guidance. The key innovations include a surrogate modeling approach for fast...
PURPOSE: THE PURPOSE OF THIS GRANT IS TO ENHANCE THE WILDFIRE EMERGENCY MANAGEMENT PLATFORM WITH NEAR REAL-TIME SENSING DATA AND AI TECHNOLOGIES TO IMPROVE QUANTIFYING EMERGENCY RESPONSE TO WILDFIRES AND SUPPORT DECISION-MAKING FOR WILDLAND-URBAN INTERFACE COMMUNITIES DURING WILDFIRE EVENTS.ACTIVITIES TO BE PERFORMED: THE FOLLOWING TASKS DETAIL THE ACTIVITIES BEING PERFORMED IN THIS RESEARCH. THE FIRST TASK IS TO CREATE A HOLISTIC FRAMEWORK TO ASSESS AND MEASURE WILDFIRE RESPONSE WITH MULTI-MODAL DATA IN NEAR REAL-TIME. HISTORIC DATA WILL BE COLLECTED AND PROCESSED TO ACT AS REAL-TIME DATA. THE NEXT TASK WILL BE TO ESTIMATE AND TRACK EVACUATION PROGRESS AND IDENTIFY CAUSES OF DELAYED EVACUATION AND CREATE A CAUSAL INFERENCE FRAMEWORK TO DYNAMICALLY IDENTIFY CAUSES OF RESPONSE DELAY. THE WILDFIRE EMERGENCY MANAGEMENT PLATFORM WILL BE MODIFIED WITH IMPROVED FEATURES AND FUNCTIONALITIES TO INCLUDE RESULTS FROM DYNAMIC REAL-TIME DATA. FINALLY, STAKEHOLDERS WILL BE ENGAGED TO EVALUATE OUTCOMES, THE STRUCTURE AND USEFULNESS OF THE PLATFORM.EXPECTED OUTCOMES: THE RESEARCH SHOULD IMPROVE THE WILDLAND EMERGENCY MANAGEMENT PLATFORM BY FACILITATING REAL-TIME DECISION MAKING BY EMERGENCY MANAGEMENT DURING WILDFIRE EVENTS INCLUDING DEVELOPING AND IMPROVING TRAFFIC CONTROL STRATEGIES IN EVACUATIONS, EMERGENCY COMMUNICATION PROTOCOLS, FIRST RESPONDER DEPLOYMENT, AND SHELTER PLANS.INTENDED BENEFICIARIES: EMERGENCY MANAGERS AND FIRST RESPONDERS WOULD BENEFIT FROM THE POWERFUL TOOLS TO PLAN AND DYNAMICALLY ADJUST RESPONSE STRATEGIES FOR MORE ROBUST EMERGENCY EVACUATIONS AND WILDFIRE RESPONSE. THE PUBLIC AT LARGE WILL BENEFIT FROM IMPROVED EMERGENCY EVACUATION AND SHELTER OPTIONS DURING WILDFIRE EVENTS.SUBRECIPIENT ACTIVITIES: A SUBAWARD WILL BE USED TO SUPPORT CONSULTANT SERVICES FOR RESEARCH DESIGN, DATA COLLECTION AND ANALYSIS. A SUBAWARD WILL BE USED TO A GRADUATE STUDENT AT ANOTHER UNIVERSITY TO ASSIST WITH DATA COLLECTION, DATA PROCESSING AND ALGORITHM DEVELOPMENT.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | ($21) | 7/9/25 | ||
| Not listed | $100.0k | 9/12/23 |