Project Grant 2330773
- This $144,887 federal Project Grant was awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program. The grant supports an interdisciplinary research project at the University of Texas at Austin to develop a dynamic sensemaking framework for understanding decision-making processes during rapid-onset disasters like catastrophic flash flooding events. Key components of the project include: Capturing ephemeral data through...
- This $400,000 Project Grant was awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program. The grant supports a 3-year research project that examines the impacts of natural disasters on community resilience and spatial disparities. The project has three key components: 1) analyzing disruptions to resident mobility patterns using mobile phone data, 2) investigating spatial variation in requests for government assistance, and 3)...
- This National Science Foundation (NSF) Engineering (47.041) Project Grant of $396,200 was awarded to The University of Texas at Arlington on November 1, 2021 to support research through October 31, 2023. The grant aims to leverage crowdsourced data to assess spatiotemporal patterns of resilience in diverse Gulf Coast communities impacted by natural hazards. Products and services will include analysis of how crowdsourced data can measure community resilience following disasters. A sub-award of...
- The National Science Foundation (NSF) awarded a $190,402 Project Grant under the Engineering program (CFDA 47.041) to The Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This collaborative research project develops a novel adaptive data collection framework to enable reliable data collection under severe time and resource constraints for automated post-disaster rapid damage assessment. The system leverages a Bayesian probabilistic modeling approach to dynamically...
- This National Science Foundation (NSF) Engineering Research Initiation (ERI) Project Grant, awarded under the Engineering program (CFDA 47.041), supports research on leveraging natural language processing, artificial intelligence, and augmented reality to enhance volunteer coordination and disaster response. The $199,642 award to Kennesaw State University Research and Service Foundation, Inc. (KSU R&SF) aims to transform unstructured social media data into actionable insights to guide...
- 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 data...
- The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to The Research Foundation For The State University Of New York, doing business as Suny ESF, to conduct research on increasing community resilience to inland flooding. The project will collect hyper-local, individual experience data on the response and recovery efforts to Hurricane Helene in western North Carolina to synthesize lessons learned and...
- This $165,000 Project Grant award from the National Science Foundation (NSF) Engineering (CFDA 47.041) program supports the development of a novel adaptive data collection framework for automated post-disaster rapid damage assessment. The project at Arizona State University's Orspa division will create a Bayesian-based system that analyzes recent observations to dynamically update the trajectories of data collector agents toward areas with the greatest potential for information gain. This will...
- 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...
- The University of Texas at San Antonio received a $150,000 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems. The award is part of the Computer and Information Science and Engineering federal grant program (CFDA 47.070) and will support the university's "Building Resilience During Disasters Through Digital Inclusion of Older Adults" research initiative from October 1, 2021 to September 30, 2022. Through this initiative, the...
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 deepen the understanding of existing emergency communications, public safety analytics, and decision support systems, as well as the roles of humans in collecting, processing, and synthesizing information during high-pressure, rapid-response scenarios. The research will explore the dynamics of human and inter-organizational interactions, innovations in emergency communications, and evaluation of the proposed ecosystem during emergency drills. The expected outcome is a living laboratory with state-of-the-art technologies and tools to continually develop, refine, and deploy innovative solutions that have a significant impact on disaster relief operations.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.5m | 6/11/24 |