Cooperative Agreement NU2RGH001913

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 $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 $148,582 Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) supports the development of computational models and algorithms to analyze and forecast epidemiological trends during and after military conflicts. The project, titled "EAGER: IMPRESS-U: Modeling and Forecasting of Infection Spread in War and Post War Settings Using Epidemiological, Behavioral and Genomic Surveillance Data", is a collaborative effort...

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...

This Project Grant award for $719,401, provided by the Trans-NIH Research Support program (CFDA 93.310) of the National Institutes of Health (NIH) Office of the Director, will fund the development and evaluation of novel methods to predict, detect, and diagnose outbreaks of HIV and other infectious diseases among people who use drugs (PWUD). The key products and services to be delivered under this 5-year award include: Developing and evaluating modeling and pattern-recognition frameworks to...

The National Science Foundation awarded a $550,781 Project Grant to the University of Southern California under the Engineering federal grant program (CFDA 47.041) to advance disease modeling for healthcare decision making from April 1, 2023 through March 31, 2028. The award will support developing a unified theoretical framework to incorporate individual-level disease simulations and compartmental models, with the goal of optimizing these approaches for single and repeated decision contexts...

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 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 $199,979 EAGER award from the National Science Foundation's Biological Sciences (CFDA 47.074) program will develop an open-source large language model to rapidly identify, verify, prioritize, summarize, and predict outcomes of emerging disease threats across humans, animals, and plants. The project, titled "The BioThreats Emergence, Analysis, and Communications Network (BEACON)", aims to create a specialized AI/machine learning system that can process vast datasets to detect...

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...