Project Grant 2531559
- 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...
- The National Science Foundation awarded a $550,781 Project Grant to the University of Southern California under the Engineering federal grant program (CFDA 47.041) to advance disease modeling for healthcare decision making from April 1, 2023 through March 31, 2028. The award will support developing a unified theoretical framework to incorporate individual-level disease simulations and compartmental models, with the goal of optimizing these approaches for single and repeated decision contexts...
- This $500,005.00 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop innovative methodologies for quantifying and controlling rare events in complex systems using digital twins. The project, titled "RAREDT: Rare Event Quantification and Control in Digital Twins," will create digital twin models that explicitly incorporate rare event quantification and control to enhance safety and resilience in areas such...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant award of $525,009 to the University of Southern California (USC) supports research on "Modeling Services as Interactions: A New Direction in Design and Control of Services." The award aims to develop and analyze stochastic models of service interactions between customers and providers, rather than using traditional system-level models, in order to address novel operational problems in the service...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $370,774 to the University of Houston System to develop an innovative framework for learning digital twins of human physiology. The goal is to create personalized, data-enabled digital models that can simulate glucose metabolism and help evaluate new treatments and technologies for type 1 diabetes management, without the risks of real-world trials. The research...
- This $172,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of machine learning models and optimization algorithms for improving disaster response logistics. The primary objectives of the project are to: Research existing machine learning models for clustering regions and develop an enhanced K-means++ clustering model with improved time complexity. Develop a novel...
- 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...
- This $250,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports the development of algorithms for real-time dynamic risk identification and monitoring of streaming data, particularly in the domains of electronic medical records, mobile health, and supply chain. The key objectives are to create a unified framework for dynamic risk detection that can be incorporated into...
- This federal Project Grant award of $817,946 from the National Science Foundation's Engineering program (CFDA 47.041) supports research by the University of California, Berkeley to develop novel tools for "digital twins" - virtual models that can simulate and update power infrastructure conditions in real-time. The key objectives are to: 1) create scalable methods for estimating complex infrastructure behaviors using advanced statistical modeling; 2) develop fast physics-based models...
- Clemson University was awarded a $500,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) for the period of August 1, 2021 through July 31, 2026. The grant funds the development of an adaptive stochastic look-ahead framework to improve disaster relief logistics under forecast uncertainty. As part of its mission to foster innovation in engineering research, the NSF Engineering program supports the creation of new approaches and tools like predictive models...
The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Southern California (USC) for the "INTEGRATING PROBABILISTIC DIGITAL TWINNING AND DYNAMIC OPTIMIZATION TO ENHANCE EMS OPERATIONS" project. This 5-year effort, beginning on November 1, 2025, aims to transform emergency medical services (EMS) operations using advanced data science and optimization techniques. The project seeks to develop a "digital shadow" - a data-driven virtual replica of EMS systems - to enable EMS agencies to test new policies in a simulated environment before real-world deployment. Key technical objectives include creating machine learning models for ambulance travel time estimation and emergency call forecasting with uncertainty quantification, as well as novel methods for rare-event simulation and risk-averse optimization. The research will leverage a partnership with the New York City Fire Department to ensure the outcomes directly inform real-world EMS practice.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 8/22/25 |