This three-year, $507,943 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Arizona State University to develop new data-driven risk prediction and management tools for fire departments. The research has several goals: conducting empirical study of community-oriented risk work and associated data use by fire personnel; developing a human-centered design process for future tools; co-designing speculative...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $264,614 to George Mason University to support research on understanding current community risk practices of fire departments and co-designing data-driven risk prediction and management tools. The research will involve in-depth ethnographic study of community risk work and data use across three fire...
The National Science Foundation (NSF) awarded a $889,209 Project Grant under the Geosciences program (CFDA 47.050) to the University of California Irvine (UC Irvine) on October 1, 2024. The project, titled "ADVANCING WILDFIRE SCIENCE, PREDICTION, AND MANAGEMENT WITH MACHINE LEARNING," aims to develop new machine learning models to improve forecasting and mitigation of wildfires. The key products and services to be delivered include: Creating a large public dataset combining weather,...
The National Science Foundation awarded a $1,049,087 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of California, Irvine for the period July 1, 2022 to June 30, 2025. The project aims to develop a network of airborne drones and wireless sensors to aid in wildfire localization and mapping, near-term prediction of fire progression, and providing communications support for firefighters. Key aspects include leveraging detailed 3D...
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...
The National Science Foundation (NSF) awarded a $199,798 project grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of California Irvine (UCI) to develop a "Disaster Digital Twin" (DDT) framework that leverages human-centered data to improve community resilience, with a focus on older adult populations. The 3-year project aims to: Integrate diverse data sources (geospatial and human-centric) into a novel data architecture to support...
This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $625,000 from September 15, 2023 to August 31, 2026 to The Research Foundation for the State University of New York (RF SUNY) to strengthen emergency management of critical infrastructure systems, with a focus on the disproportionate impacts of wildfires on socially vulnerable communities. The project aims to develop a human-centered, equity-focused,...
The National Science Foundation awarded a $150,000 Project Grant to the National Center for Atmospheric Research (NCAR) under the Computer and Information Science and Engineering program (CFDA 47.070). The award will support development of a closed-loop sensing, modeling, and communications system to aid in wildfire detection, mapping, and prediction from July 2022 through June 2025. The system aims to leverage detailed 3D environmental models incorporating fuel, terrain, weather and other...
The National Science Foundation (NSF) awarded a $1,500,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Texas Research and Innovation Division. The grant funding aims to develop a comprehensive framework to streamline diverse processes and integrate advanced technological solutions into disaster relief operations, enhancing the overall effectiveness and speed of emergency response efforts. The key objectives are to...
This Project Grant from the National Science Foundation supports research titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: WILDLAND FIRE OBSERVATION, MANAGEMENT, AND EVACUATION USING INTELLIGENT COLLABORATIVE FLYING AND GROUND SYSTEMS." Awarded on May 1, 2021 for a three-year period concluding on April 30, 2024, the $249,999 grant will fund research under the Computer and Information Science and Engineering program. Specifically, the grant supports the development of technologies using...