Project Grant 2139740
- 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...
- The Massachusetts Institute of Technology (MIT) received a $150,000 Project Grant award from the National Science Foundation (NSF) to support modeling and control of COVID-19 transmission in indoor environments. Funded under the NSF's Engineering program (CFDA 47.041), this award will allow MIT researchers to develop models and analysis to better understand how SARS-CoV-2, the virus that causes COVID-19, spreads in confined indoor spaces. By gaining insights into transmission dynamics in...
- This $200,000 Project Grant from the National Science Foundation Division of Environmental Biology supports research investigating the uptake, persistence, and impact of behavioral interventions on respiratory viruses. Funded under the Biological Sciences program (CFDA 47.074), the Pennsylvania State University will model the dynamics of COVID-19 and influenza transmission considering behavioral changes mandated by public health interventions as well as voluntary individual behaviors....
- This $223,001 National Science Foundation project grant supports research to develop novel predictive models of epidemic spread dynamics and validate those models against COVID-19 data. The award is made under the NSF Engineering program (CFDA 47.041) to support fundamental engineering research. Specifically, researchers at the University of Cincinnati will work collaboratively to: develop new predictive dynamic models based on partial differential equations; study the interaction of...
- The University of California, San Diego was awarded a $1,000,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems to develop a collective intelligence cyberinfrastructure prototype for pandemic prediction, prevention and response under the Predictive Intelligence for Pandemic Prevention (PIPP) Phase I program. The award period is from August 1, 2022 to January 31, 2024. The grant will support testing a new digital platform to merge currently...
- 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 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...
- This $201,299 National Science Foundation project grant supports research to develop novel predictive models of epidemic spread dynamics and validate those models using COVID-19 data. The funding will be used to conduct fundamental research advancing the scientific understanding of how uncertainties in human behavior and pathogen characteristics influence spatial and temporal stochastic epidemic dynamics. Specific aims of the research include developing new predictive dynamic models based on...
- This $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA #47.070) supports research investigating the "pandemic lifecycle" through three collaborating institutions in North Carolina. Duke University serves as the primary awardee and will lead efforts to establish working groups examining fundamental questions around how infectious diseases spread locally and regionally. A pilot study aims to develop simulation...
- This $199,167 Project Grant from the National Science Foundation Division of Environmental Biology will support research to develop a data-driven model of imperfect immunity against COVID-19. The University of Southern California will receive funding to build upon data on COVID-19 reinfections and vaccine breakthroughs to better understand how imperfect protection affects SARS-CoV-2 transmission dynamics and the long-term risks of resurgence. The project directly supports the NSF's Biological...
The University of California, San Diego received a $250,000 Project Grant award from the National Science Foundation Office of Integrative Activities under the Integrative Activities federal grant program (CFDA 47.083) to evaluate COVID-19 mitigation strategies in schools using a spatially-explicit agent-based model of infection dynamics. The award, issued on October 1, 2021, will support research through September 30, 2023 to develop a computational model to simulate the spread of COVID-19 infections among students, teachers and staff within a school environment. By accounting for individual behaviors and interactions in space and time, the model seeks to determine optimal mitigation approaches such as masking, testing, ventilation and distancing to inform safe school operations during the pandemic. The research aligns with the Integrative Activities program's goal of enhancing national research capacity and infrastructure.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 9/3/21 |