This three-year, $299,938 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a decision support system and fair teaming recommendations for infectious disease response. Funded through a collaboration between the University of California, Los Angeles and the Australian Commonwealth Scientific and Industrial Research Organisation, the project will construct biomedical knowledge graphs, identify core response teams, and...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems will fund $123,946 for research into understanding and mitigating bias in artificial intelligence models for predicting infectious disease spread. The award is part of the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Specifically,...
This $299,977 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop AI-powered approaches to address societal challenges such as managing drought, reducing emissions, and responding to infectious diseases. The key focus areas include: 1) establishing fair, multi-objective, and collective decision-making frameworks for a single time period, 2) exploring fair sequential multi-objective...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $373,667 to Emory University for research on understanding and mitigating bias in artificial intelligence models for infectious disease spread prediction. Over a three-year period from April 2023 through March 2026, the grantee will develop an AI system to predict the spatial and temporal spread of...
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 $1,999,688 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 $300,000 National Science Foundation project grant supports research at the University of Nebraska-Lincoln to develop artificial intelligence approaches for sequential collective decision-making to address societal challenges. Funded under the Computer and Information Science and Engineering program, the three-year award beginning September 2023 aims to establish theoretical and algorithmic foundations for responsible and equitable AI that makes fair tradeoffs over time across objectives in...
This $450,189 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development and evaluation of computational frameworks to predict and prevent future coronavirus pandemics. The research team at Old Dominion University Research Foundation (Odurf) will prototype deep learning models to forecast viral pathogenic fitness and transmission from genomic sequences, and build geospatial models to...
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 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations supports the development of computational tools and frameworks for bio-social modeling of future pandemics through Arizona State University's PIPP PHASE I: Computational Foundations for Bio-Social Modeling of Unseen Pandemics project. Funded under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), the $807,531 award will advance predictive...