Project Grant 2532311
- This $600,000 project grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to enhance influenza forecasting through an integrated platform for user-generated temporal forecasts. The project takes a participatory modeling approach to guide the construction of a human judgment platform that generates temporal forecasts of infectious disease trajectories. The key goals are to: 1) identify the factors and decision-making...
- This $175,000 Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will develop new computational models and forecasting approaches to predict the incidence and severity of respiratory illnesses like COVID-19, influenza, and RSV for the 2024-2025 season. The project aims to combine computational modeling with human judgment to improve the accuracy and responsiveness of public health forecasting on a national scale. It will deliver weekly...
- This federal Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049) provides $1,344,200 to the University of Vermont to develop mathematical epidemiological models that better represent the complexities of human behavior and social processes in disease dynamics. The project will focus on understanding respiratory diseases like COVID-19 and the flu, aiming to improve the ability to predict and respond to infectious disease outbreaks. Key...
- This $968,765 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) will develop a flexible modeling framework to simulate the impact of various testing-based infection control strategies for respiratory pathogens like SARS-CoV-2. The project aims to improve our ability to control existing respiratory diseases and enhance preparedness for future pandemics. Key deliverables include: Developing a...
- 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...
- This $543,185 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund a 3-year research project at the University of Tennessee to develop new artificial intelligence (AI)-powered forecasting tools for predicting weather and air quality. The goal is to create a machine learning-based surrogate for computationally expensive chemical transport models, which will enable faster, more accurate, and higher-resolution real-time forecasting of...
- This federal Project Grant award of $360,000 from the National Science Foundation's (NSF) Division of Mathematical Sciences and the CDC Coronavirus and Other Respiratory Viruses Division aims to improve policymaking processes for mitigating the transmission of respiratory pathogens, such as during the COVID-19 pandemic. The principal investigators will develop and study game theoretical mathematical models, simulation tools, and numerical approaches that can be adapted to specific public...
- The University of Maryland, College Park will receive $536,244 from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) for a project grant titled "Engineering Host-Pathogen Interactions to Understand Influenza A Infection." The funding, awarded on October 1, 2022 and set to be completed by September 30, 2025, will support research examining the physical and biochemical factors that influence how influenza A virus penetrates and overcomes the...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $150,000 to the University of Illinois to develop proactive solutions for public health protection against airborne diseases. The key objectives are: Create an intelligent, automated system for real-time, multiplex monitoring of critical airborne pathogens, including the ability to obtain time-resolved measurements of infectious aerosols...
- This National Science Foundation (NSF) Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program provides $246,528 to Middle Tennessee State University (MTSU) to apply mathematical models to study the effects of organism movement and stream network structure on the survival of species and the spread of waterborne infectious diseases. The project aims to understand how factors such as human activities and severe weather may affect stream populations and...
The University of Tennessee at Chattanooga received a $249,993 project grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to refine inverse methods and advance hybrid forecasting approaches for influenza transmission dynamics. The project aims to integrate environmental conditions, such as temperature, humidity, and air quality, into a hybrid forecasting and early warning system for influenza outbreaks, in order to enhance public health preparedness and response to emerging and re-emerging infectious diseases. The interdisciplinary team will develop a cutting-edge framework that combines differential equations, machine learning, and statistical techniques to forecast influenza outbreaks and detect early warning signals driven by environmental factors. The project will validate these tools using real-world influenza and environmental data, and it will support workforce development in quantitative public health and expand access to high-quality STEM education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 7/18/25 |