This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $200,199 to Trustees of Boston University to develop a "Disaster Digital Twin" (DDT) framework that can improve community resilience to disasters, with a focus on supporting older adult populations. The key products to be delivered include:
Stakeholder workshops to understand older adult disaster resilience needs
Integration of...
The National Science Foundation Division of Behavioral and Cognitive Sciences awarded a $298,982 Project Grant to Texas A&M University on September 1, 2021 with a completion date of August 31, 2023. The grant supports the EAGER project "SYNCHRONIZING DECISION-SUPPORT VIA HUMAN- AND SOCIAL-CENTERED DIGITAL TWIN INFRASTRUCTURES FOR COASTAL COMMUNITIES" under the Social, Behavioral, and Economic Sciences program (CFDA 47.075).
The grant will fund the development of digital twin...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research and development to enhance climate resilience and confront coastal hazards in the Great Lakes region.
The project, led by Michigan Technological University, combines natural hazard research with local knowledge to create practical tools and strategies to help rural, remote, and indigenous communities in the region...
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 $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) focuses on developing a real-time crowd-sourced geospatial digital twin (GDT) for cyber-physical systems. The research aims to enhance the delivery of vital information, such as images, videos, and text, to smart mobile devices like smartphones and tablets in a timely and effective manner.
The project will investigate approaches to ensure...
This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) Project Grant award of $299,862 to the University of Nevada, Reno will support research to develop a new framework for integrating machine learning and physics-based computational models to create "digital twins" of dynamic systems. The research aims to address limitations in current hybrid data-driven modeling approaches by embedding neural networks within physics-based models to better account for modeling...
This $134,432 National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project to build empirically informed models of scientific search and progress. The research aims to understand the causes behind the observed slowing of innovative activity in science, which is critical for advancing technology, fostering social development, and tackling global issues. By combining theoretical and...
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...
This $257,914 Project Grant award from the National Science Foundation Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will develop a national cyberinfrastructure called the Human Dynamics and Resilience Infrastructure (HNDS-I) to advance disaster resilience research. The key products and services to be delivered include:
Developing four new integrated databases from sources like social media and cell-phone mobility...
This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $197,445 to Trustees of Dartmouth College to study how rural communities respond to overlapping disasters of flood water inundation and other ecological stressors. The project examines the role of community-based mutual aid networks in enabling recovery and mitigation efforts, and develops a community-based floodplain mapping tool to improve...
This $149,983 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support a collaborative research effort between Baylor University and several other institutions. The project aims to link multisector dynamic (MSD) models with digital twins (DTs) to assist gateway communities near U.S. national parks in resilience planning. Specifically, the researchers will develop MSD models to project future population, economic activity, land use, and infrastructure, as well as flood and wildfire risk, for regions like Yellowstone National Park and its surrounding communities. These projections will then be integrated with DTs to provide real-life simulations and visualizations of alternative future scenarios. This approach is intended to improve communication of complex model results, enhance community participation, and identify resilient outcomes for these co-dependent, fragile systems. The award is from April 1, 2025 to March 31, 2026 and includes planned sub-awards to support the collaborative nature of the project.