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...
This $1,000,000 project grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports the development of a Center for Pandemic Decision Science at the University of Texas at Austin from September 1, 2022 to February 29, 2024. The Center aims to advance the integration of complex systems science into pandemic decision-making through a series of multidisciplinary workshops, pilot studies, and educational/community outreach activities. Key goals include identifying...
This $1 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities supports research at Oregon State University under the NSF Engineering program (CFDA 47.041). The two-year award will fund the establishment of a Pandemic Predictive Intelligence and Policy Center to develop feedback loops between predictive modeling and adaptive response strategies that can attenuate pandemic transmission in urban environments. Key deliverables...
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 $2 million project grant from the National Science Foundation's Division of Computing and Communication Foundations supports the development of predictive modeling tools to aid pandemic prevention and response efforts. Funded under the Computer and Information Science and Engineering program, the 18-month award to Boston Children's Hospital will plan a future center-scale effort to address gaps in understanding and modeling pandemic potential, impact of interventions, and factors...
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...
This $175,000 Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will develop new computational models and forecasting approaches to predict the incidence and severity of respiratory illnesses like COVID-19, influenza, and RSV for the 2024-2025 season. The project aims to combine computational modeling with human judgment to improve the accuracy and responsiveness of public health forecasting on a national scale. It will deliver weekly...
The National Science Foundation awarded the University of Maryland, College Park $1,999,074 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the project "PIPP PHASE I: Evaluating the Effectiveness of Messaging and Modeling during Pandemics." The goal of the project is to develop models and tools to help public health officials and policymakers more effectively communicate and respond during future pandemics. Specifically, the university...
The National Science Foundation SBE Office of Multidisciplinary Activities awarded $200,151 under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) to the University of California, Los Angeles for the period of September 1, 2022 through February 29, 2024. The award will support development of a prototype pandemic early warning system powered by artificial intelligence, machine learning, and open-source technologies. The system will monitor biological,...
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...
The National Science Foundation awarded a $1,000,000 Project Grant to the University of Chicago to support the Robust Epidemic Surveillance and Modeling (RESUME) project under the Engineering program of the Cross-Directorate Predictive Intelligence for Pandemic Prevention Phase I initiative. The grant period runs from August 1, 2022 to January 31, 2024.
The RESUME project will develop predictive modeling capabilities and open data platforms to inform pandemic response decision making. An interdisciplinary team will engage stakeholders to broaden participation in collaborative modeling and develop training modules. Activities will advance science in co-design of policy analyses, integration of robust surveillance data streams, and prediction of future pathogens. Specifically, the project will demonstrate a sustainable simulation and decision support platform called the Open Science Platform for Robust Epidemic Analysis to leverage high performance computing investments. Outcomes aim to establish foundational capabilities for interdisciplinary pandemic intelligence.