Project Grant 2433726
Award Date
7/1/24
Completion Date
6/30/25
Dollars Obligated
$200K
Federal Agency
Division of Environmental Biology
Federal Grant Program
47.074
Assistance Type
Project Grant
Place of Performance
Boston, MA 02215, USA
Similar Awards
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 $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 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 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 $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 $198,141 project grant awarded by the National Science Foundation's Biological Sciences program (CFDA 47.074) seeks to enhance predictive understanding of global species distributions through the development of advanced generative artificial intelligence (AI) models. The project aims to create a versatile foundation model that can be used by scientists, conservationists, and educators to better understand and protect the natural world. By training this model on a vast array of environmental...
The Trustees of Boston University will use a $638,578 project grant from the National Science Foundation to develop deep learning models for microbial image analysis and time-series predictions under the Biological Sciences program. The three-year award, issued on January 1, 2022 and set to conclude December 31, 2024, will support efforts to promote progress in the biological sciences through increased understanding of major problems confronting the nation. Specifically, the university will...
The National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) awarded a $1,487,500 Cooperative Agreement to the University of California, Davis to establish the Center for Insights into the Pre-Emergence Phase of Pandemics (CI3P). The Center will pioneer transdisciplinary research initiatives to significantly advance the ability to investigate and understand the pre-emergence phase of pandemics. Key objectives include: Developing innovative sensor systems to detect signals of...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $150,000 to the University of Illinois to develop proactive solutions for public health protection against airborne diseases. The key objectives are: Create an intelligent, automated system for real-time, multiplex monitoring of critical airborne pathogens, including the ability to obtain time-resolved measurements of infectious aerosols...
The National Science Foundation Division of Emerging Frontiers awarded the University of Georgia Research Foundation a $1,000,000 Project Grant under the Biological Sciences (CFDA 47.074) federal grant program. The grant funds the PIPP PHASE I: HETEROGENEOUS MODEL INTEGRATION FOR INFECTIOUS DISEASE INTELLIGENCE project from August 1, 2022 to January 31, 2024. The project aims to develop a systems-of-systems framework to integrate knowledge from different disciplinary approaches for infectious...