Project Grant 2311297
Award Date
9/1/23
Completion Date
8/31/26
Dollars Obligated
$245K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Athens, GA 30602, USA
Similar Awards
This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) Project Grant award of $200,000 to the Georgia State University Research Foundation Inc. supports research to advance iteratively regularized numerical algorithms for reliable estimation of infectious disease parameters from noisy data. The project aims to develop new regularized alternating minimization algorithms to solve ill-posed parameter-estimation problems constrained by nonlinear dynamics, with...
This $195,101 Project Grant, awarded by the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074), will use mathematical modeling to project the healthcare burden associated with COVID-19, influenza, and respiratory syncytial virus (RSV) in the United States during the 2023-2024 respiratory virus season. The research will integrate estimates of population immunity from prior infections, vaccinations, and monoclonal antibody therapy to produce four rounds of projections...
The National Science Foundation Division of Emerging Frontiers awarded the University of Georgia Research Foundation a $1,000,000 Project Grant under the Biological Sciences (CFDA 47.074) federal grant program. The grant funds the PIPP PHASE I: HETEROGENEOUS MODEL INTEGRATION FOR INFECTIOUS DISEASE INTELLIGENCE project from August 1, 2022 to January 31, 2024. The project aims to develop a systems-of-systems framework to integrate knowledge from different disciplinary approaches for infectious...
This $108,131 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program will fund research at Duke University to establish a new efficient simulation method for assessing rare but highly consequential epidemic events. The project aims to identify key risk factors in virus-spreading interactions that can facilitate large outbreaks, using disease models similar to COVID-19 and HIV as case studies. The research will provide improved...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Virginia to develop data-driven, multimodal methods for behavior-based epidemiological modeling. The key objectives are to: Improve techniques for deriving meaningful insights from imperfect, real-world sensor data like mobile phones and search engine logs to capture complex human behaviors in real-time. Couple agent-based disease models...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $175,000 to the University of Georgia Research Foundation, Inc. to initiate a new paradigm for statistical inference of high-dimensional time series data. The project aims to develop self-normalized inference methods that can quantify the accumulative uncertainty of high-dimensional data collected over time, which has been a challenge with existing techniques....
This $300,000 Project Grant from the National Science Foundation's Office of International Science and Engineering will fund research collaboration between the United States and international partners on modeling human mobility patterns and contagion dynamics during the COVID-19 pandemic. Awarded on August 1, 2021 to The Research Foundation For The State University Of New York (SUNY) at Binghamton, the two-year grant aims to advance scientific discovery and international partnerships through...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $100,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) from August 15, 2023 to July 31, 2026. The grant will support the development of a "Novel Distributed, Multi-Channel, Topology-Aware Online Monitoring Framework of Massive Spatiotemporal Data" called A-DMIT. This framework aims to advance online threat detection...
This Project Grant award in the amount of $200,000 from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) will enable the development of a sophisticated statistical framework to quickly and accurately detect anomalies in complex dynamical systems. The project aims to advance the field of dynamical system analysis by creating a fast Bayesian method based on Gaussian processes to estimate time-varying parameters and...
This Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) supports a research project titled "OPUS: Synthesizing Theory and Data in the Ecology of Zoonotic Diseases: A Multi-System Perspective". The $298,354 award from January 1, 2025 to December 31, 2026 will enable the University of Georgia Research Foundation, Inc. to create a comprehensive database and online portal integrating data from various NSF-funded studies on emerging...