Project Grant 2527287
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program provides $200,000.00 to San Diego State University Foundation to develop and use mathematical models and computational methods, including novel Math-Model Informed Neural Networks (MINN), to study the climate-dependent biology of mosquitoes and the transmission of dengue. The project aims to: (A) develop MINN models capturing emerging mathematics in...
- This National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences (CFDA 47.049) Project Grant of $246,620 awarded to The University of Texas at San Antonio (UTSA) will fund the development of novel mathematical models for Wolbachia-based strategies to control mosquito-borne diseases like dengue fever, malaria, chikungunya, and Zika. The multi-stage models will account for the complex transmission dynamics, spatial and temporal heterogeneity, and Wolbachia's biological...
- This $130,064 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research to develop new statistical algorithms for analyzing spatiotemporal data on vector-borne disease transmission, using dengue virus in Rio de Janeiro as a case study. The project aims to address methodological challenges in modeling complex, nonlinear, and partially-observed spatial-temporal systems, with the goal of...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to accurately quantify recurring seasonal effects in ecological models. The $247,495 award to Texas Tech University System will develop mathematical approaches to represent the complex interactions between short-term and seasonal behaviors in ecosystems, with a focus on assessing the identifiability of model parameters and their ability to match real-world...
- The National Science Foundation (NSF) awarded a 5-year, $977,779 Project Grant under the Biological Sciences (CFDA 47.074) program to the University of California, Santa Barbara (UCSB) to investigate how climate change and land use shifts may impact the synchronization between mosquito vectors and bird hosts, and the implications for West Nile Virus transmission. The research will leverage a combination of modeling, causal inference, citizen science, and field data collection to understand how...
- This federal Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), supports a collaborative research project on the transmission, control, and risk assessment of chikungunya virus (CHIKV) in South Florida. The $323,038 award, effective September 1, 2024 through August 31, 2027, will integrate mosquito data from Miami-Dade County and CHIKV outbreak data from Brazil into a hybrid machine learning and mathematical modeling...
- This Project Grant from the National Science Foundation's Division of Mathematical Sciences provides $324,104 to Clarkson University under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) from February 2022 through January 2025. The funding supports the Mathematical Biology Team Science Research Experience for Undergraduates program, which will deliver an immersive ten-week interdisciplinary research experience for undergraduate students interested in quantitative...
- This National Science Foundation (NSF) Project Grant award, funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), aims to investigate the role of human behavior in the dynamics of mosquito-borne diseases such as dengue and Zika. The $100,000 grant, awarded to North Carolina State University (NC State), will support a multidisciplinary research project to understand how individual decision-making around mosquito prevention behaviors impacts disease transmission. The...
- This $174,544 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the University of North Carolina at Charlotte in developing a novel, integrated geospatial framework that applies advanced machine learning techniques to map disease transmission risk from mosquito-borne illnesses. The project will process high-resolution satellite imagery, population data, and other geospatial inputs to generate...
- The National Science Foundation (NSF) Division of Environmental Biology awarded a $283,164 Project Grant to the University of North Carolina at Greensboro (UNC-G) to develop physiology-based mechanistic models to forecast the responses of sand fly vector species to coarse-scale environmental changes like climate change, as well as fine-scale changes from land use modifications. The project aims to (1) determine the physiological parameters that influence the geographical spread and...
The University of Connecticut received a $149,999 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop and use mathematical models and computational methods, including novel Math-Model Informed Neural Networks (MINN), to study climate-dependent mosquito-dengue biology. The project aims to (A) develop MINN models capturing emerging mathematics in mosquito-dengue biology, (B) analyze models and develop MINN-based methods to estimate epidemic thresholds, and (C) create MINN-based online platforms for public health policy evaluations and healthcare accessibility. The research outcomes are expected to fundamentally advance mathematical biology and quantitative biology while also delivering broad societal impact by helping healthcare professionals mitigate the burdens of dengue infection. The project will provide interdisciplinary research training opportunities for students and incorporate the research into an interdisciplinary mathematical biology course.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 7/29/25 |