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 National Science Foundation Division of Environmental Biology awarded a $186,835 Project Grant to the University of Southern California Department of Contracts and Grants to support the project "RAPID: FAST COVID-19 SCENARIO PROJECTIONS IN PRESENCE OF VACCINES AND COMPETING VARIANTS" from August 1, 2021 through July 31, 2022. This funding supports research under the Biological Sciences program (CFDA 47.074), which aims to promote advancement in the biological sciences and...
This $525,009 five-year project grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Southern California (USC) to model service interactions at a micro-level, rather than using traditional system-level models. The research aims to capture details previously overlooked, in order to address operational problems in the service sector and improve managerial decision making without requiring additional resources. The project...
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 $423,340 National Science Foundation project grant supports research at the University of Southern California to develop statistical models for selecting optimal populations. The goal is to establish reliable decision-making rules for determining which of multiple approaches or populations provides the best solution to a given problem. The three-year award under the NSF Engineering program (CFDA 47.041) will investigate methods for identifying the population with the largest mean based on...
This $1,999,688 National Science Foundation Project Grant supports the development of predictive intelligence for pandemic prevention through transdisciplinary innovation. Funded by NSF's Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to the University of California, Davis enables advancement of predictive capabilities for forecasting pandemic risk through three key research areas. First, the team will characterize environmental conditions and human...
This National Science Foundation Project Grant of $200,000.00, awarded on November 15, 2022 with a completion date of October 31, 2026, will fund research at Columbia University to develop behavior-driven mathematical models and forecasting systems for respiratory disease transmission in urban settings. Funded jointly by NSF's Division of Mathematical Sciences and Division of Social and Economic Sciences under the Biological Sciences program (CFDA 47.074), this research aims to incorporate...
This $170,566 federal Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports the development and delivery of an innovative mathematical modeling framework to integrate public health policy, public opinion dynamics, and epidemic outcomes. The project aims to establish a detailed, integrated system that captures the complex feedback among public health policies, dynamic public opinions, and...
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 $599,999 Project Grant to the University of Southern California (USC) under the Computer and Information Science and Engineering (CFDA #47.070) federal grant program. The grant supports research and graduate student training focused on modeling, optimization, and analysis of biologically-inspired microbial community networks. Key areas of investigation include understanding the phenomenon of quorum sensing, which enables collective behaviors in...