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 award from the National Science Foundation Division of Information and Intelligent Systems provides $427,442 to fund research at the University of California, Irvine from August 1, 2022 to July 31, 2025. The research will be conducted under the Computer and Information Science and Engineering program, which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Specifically, the researchers...
The National Science Foundation (NSF) awarded a $1,850,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Georgia State University Research Foundation Inc. to develop a community sensing, planning, and learning infrastructure to support smart and safe prescribed burning for rangeland and wildland urban interface communities. The project integrates research on multi-scale sensing and data fusion, data-driven burn condition modeling, grassland...
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 $1,383,654 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced language technologies to aid crisis preparedness and response efforts. The project at George Mason University aims to build datasets of crisis communications and common language scenarios to facilitate the use of language technologies for vulnerable populations during disasters. This collaborative...
This National Science Foundation (NSF) Engineering program grant, awarded to George Mason University, aims to improve the resilience and equity of disadvantaged communities facing the increasing threat of wildfires. The $397,365 project will: (i) quantify disparities in shelter access between disadvantaged and advantaged communities, (ii) optimize access-related equity through short- and long-term wildfire preparedness strategies, and (iii) develop a science-based community-centered...
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,...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to enhance wildfire risk assessment in wildland-urban interface (WUI) communities through comprehensive data collection and high-fidelity fire spread modeling. The $196,639 award to the University of Maryland, College Park will fund the compilation of a detailed dataset documenting the impacts of the Maui wildfire, as well as an assessment of using advanced computational fluid dynamics...
This $146,766 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a 5-year research project titled "UNDERSTANDING VULNERABILITY TO WILDLAND FIRE BY ASSESSING WILDFIRE DISTURBANCE AS A MULTI-SCALAR SYSTEM" at Boise State University. The project aims to analyze patterns of vulnerability to wildland fires on a national scale, evaluate perceptions and experiences of affected communities regarding wildland...