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 federal Project Grant award of $164,940 was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Emory University in Atlanta, Georgia. The funding supports research to investigate challenges around ensuring fairness in artificial intelligence (AI) algorithms under real-world conditions involving distribution shifts, privacy constraints, and robustness to bias amplification attacks. Key expected outcomes include:...
This $299,862 National Science Foundation project grant under the Computer and Information Science and Engineering program will support the development of a decision support system to strengthen public health response to infectious disease outbreaks in the US and Australia. Researchers from the University of Texas at Austin and Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia will collaborate to develop graph representation learning methods for fair teaming...
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 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 $197,265 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant awarded to Duke University's Office of Research Administration Division aims to develop robust techniques for assessing and reporting the fairness and reliability of AI-based biosignal algorithms across diverse populations. The research focuses on evaluating algorithm performance under intersectional demographic conditions and drift over time, to enhance the equitable application of AI...
This $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Maryland, College Park to develop transparent and interpretable bias mitigation approaches for place-based mobility-centric prediction models. The three-year award beginning September 1, 2022 will support technical contributions in three thrusts. The first will provide a novel prediction model to forecast reported place-based...
This $597,149 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to advance fundamental research in fair algorithmic decision-making. The project at Purdue University will develop novel algorithms and software to facilitate the adoption and evaluation of fair artificial intelligence (AI) systems, with a focus on promoting health equity in applications like Alzheimer's disease research. Key...
This $382,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports North Carolina Agricultural and Technical State University (NC A&T) in expanding their artificial intelligence (AI) research, education, and workforce development capabilities. The key products and services to be delivered through this 2-year award include: (1) developing robust, explainable, fair, and privacy-preserving AI...
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...