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 Project Grant award from the National Science Foundation (NSF), Division of Mathematical Sciences, supports the development of data-driven, multimodal methods for behavior-based epidemiological modeling. With a total funding of $150,000 over the period of October 1, 2023 to September 30, 2026, the project aims to address the challenges of behavior-based epidemiological modeling by establishing a unified modeling framework. Key products and services delivered under this grant include:...
The Trustees of Princeton University was awarded a $195,000 Project Grant from the National Science Foundation on April 1, 2021 to complete work by March 31, 2024. The grant supports the collaborative research project "Honest and Robust Inference with High Dimensional Data" under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075). This program aims to promote basic research and education in social, behavioral and economic sciences. The grant funding will allow...
The Trustees of Princeton University Office of Research and Project Administration Division will provide research and development services under a $453,195 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075). Specifically, Princeton will study the rationale behind algorithms used in machine learning and other methods for large data analyses, and develop new and improved methods for machine learning, treatment effect estimation, and...
The Trustees of Princeton University was awarded a three-year, $211,507 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) to conduct research towards a better understanding of logit type models with fixed effects from September 1, 2021 to August 31, 2024. The grant will support research at Princeton University aimed at advancing scientific knowledge of logit models, a type of statistical model frequently used in social science...
This National Science Foundation (NSF) award, under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program, provides $700,000 over 3 years to Northeastern University to develop mathematical models and computational algorithms that incorporate group-level behavioral responses into epidemic models. The research aims to better understand how social interactions, risk-mitigating norms, and the formation of pandemic "social bubbles" influence the trajectories of...
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 Trustees of Princeton University were awarded a $364,540 Project Grant from the National Science Foundation Division of Mathematical Sciences on August 1, 2021 to complete the project by July 31, 2024. The grant supports the project "UNUSUAL CONCENTRATION PHENOMENA IN PROBABILITY, ANALYSIS, AND GEOMETRY" under the Mathematical and Physical Sciences program (CFDA 47.049). This program aims to promote progress in the mathematical and physical sciences to strengthen the nation's...
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...
The National Science Foundation Division of Mathematical Sciences awarded The Trustees of Princeton University a $285,000 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) for work on "Stochastic Optimal Control with High Dimensional Data." This three-year award, which began on June 15, 2021 and runs through May 31, 2024, will support Princeton University's efforts to promote progress in the mathematical and physical sciences through...