Project Grant 2530591
- Federal Grant Award Summary The National Science Foundation's Office of Advanced Cyberinfrastructure awarded the University of Washington $1,104,547 under the Computer and Information Science and Engineering program (CFDA 47.070) on August 1, 2026, for the Geophysical AI-Driven Integration & Assimilation (GAIA) project. The project develops unified cyberinfrastructure that integrates physical simulations, sensor observations, and artificial intelligence across distributed computing...
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded the University of Washington a Project Grant of $998,891 on August 1, 2025, under the Geosciences program (CFDA 47.050) to develop actionable solutions for integrating river-avulsion risk into floodplain management. The research, scheduled for completion by July 31, 2029, focuses on the Nooksack River in Washington and will produce fundamental scientific advances regarding avulsion-triggering...
- Federal Grant Award Summary American University received a $867,245 Project Grant award from the National Science Foundation's Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074) beginning January 1, 2026 and concluding December 31, 2028. The award supports collaborative research to develop an advanced Artificial Intelligence (AI) and Machine Learning (ML) framework for improved detection and forecasting of wildland fires using multimodal geoscientific data. The...
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded $886,085 to the University of Alaska Fairbanks under the Geosciences program (CFDA 47.050) on August 1, 2026, for the Collaborative Research: Frameworks: Geophysical AI-Driven Integration & Assimilation (GAIA) project, with completion scheduled for July 31, 2032. This Project Grant delivers an integrated cyberinfrastructure platform that unifies physical simulations, sensor observations,...
- Federal Project Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded $646,945 to Trustees of Tufts College on February 15, 2026, under the Geosciences program (CFDA 47.050) to advance post-wildfire property and infrastructure decontamination and economic recovery efforts. This collaborative research initiative addresses critical gaps in assessing contamination from Wildland-Urban Interface (WUI) fires by examining the fundamental processes governing...
- Federal Grant Award Summary The University of Washington received a $156,663 Project Grant from the National Science Foundation's Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074) for the period January 1, 2026 through December 31, 2028. This collaborative research project, titled "FIRE-MODEL: Using Multitemporal Ecosystem Energetics to Understand Changes to Fuels and Future Fire Regimes," delivers research products and analytical tools designed to...
- Federal Project Grant Summary Florida State University's Sponsored Research Administration Division received a $400,000 Project Grant from the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), effective September 1, 2025, with completion targeted for August 31, 2029. The project, titled "FIRE: An Integrated AI System Tackling the Full Life Cycle of Wildfires in Hurricane Prone Regions," develops a comprehensive artificial intelligence system designed to...
- Federal Project Grant Award Summary The University of Washington received a $337,147 Project Grant award dated August 15, 2025, from the National Science Foundation's Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050) to conduct research on atmospheric predictability using machine learning (ML) frameworks. The primary deliverable is fundamental research that tests the conventional two-week limit of weather forecast skill by employing deep learning tools...
- Federal Project Grant Award Summary The National Science Foundation's Office of Multidisciplinary Activities awarded $250,000 to New Mexico Institute of Mining and Technology under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) on September 1, 2025, for a project titled "Harnessing AI for Spatial Environmental Risk Modeling and Mitigation." The award supports the development and deployment of an artificial intelligence-driven model that integrates large-scale...
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded the University of Florida a $353,178 Project Grant (CFDA 47.050, Geosciences) effective October 1, 2025, through September 30, 2028, to develop a next-generation generative downscaling framework for geoscience data. This collaborative research initiative combines diffusion-based generative models with physical constraints and probabilistic uncertainty quantification to produce...
The National Science Foundation (NSF) awarded the University of Washington a $735,074 Project Grant under the Geosciences program (CFDA 47.050) beginning September 1, 2026, with a completion date of August 31, 2028. This collaborative research initiative will develop the Framework for Artificial Intelligence-Enhanced Modeling of Wildfire Geohazards (FAIM-WG), a comprehensive system designed to predict postfire debris flow hazards across the western United States. The primary deliverables include the creation of an AI-ready, multi-modal dataset encompassing topographic, meteorological, and environmental variables from major western U.S. wildfires; development of probabilistic machine learning models using gradient-boosted decision trees to predict debris flow initiation and rainfall thresholds; and implementation of these data-driven models into the LandLab Earth Surface Modeling Toolkit for practical application at study sites. The project addresses a critical gap in existing early-warning tools, which have not been adequately adapted to cooler, wetter regions such as the coastal Pacific Northwest. By integrating artificial intelligence with process-based earth surface response models, the research will advance the scientific understanding of postfire geomorphic processes and generate transferable predictive models to support early-warning systems and risk mitigation efforts for downstream communities and infrastructure vulnerable to debris flows and flash floods in the years following major wildfire events.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 7/30/25 | ||
| Not listed | $735.1k | 7/14/25 |