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 award from the National Science Foundation (NSF) Division of Information and Intelligent Systems, under the NSF CISE (Computer and Information Science and Engineering) program (CFDA 47.070), provides $424,916 to the Board of Regents of the University of Nebraska (dba University of Nebraska) from August 1, 2023 to July 31, 2027. The award supports collaborative research to investigate decision-making frameworks for open multiagent systems, where agents may enter/leave the...
This $600,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop artificial intelligence (AI)-powered approaches to improve accessibility to public facilities for underserved communities. The research will establish theoretical and algorithmic foundations for scalable AI frameworks to address the Facility Accessibility Improvement Problem (FAIP). Key objectives include: Providing collective...
This $300,000 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports a research project that seeks to design, develop, and deploy artificial intelligence (AI) responsibly by fostering community-researcher synergy. The project, led by the University of Michigan, will use human-computer interaction methods to change how communities are involved in developing AI, with a focus on public health, education,...
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...
The National Science Foundation Office of International Science and Engineering awarded a $200,000 Project Grant to the University of Chicago to develop responsible artificial intelligence systems to support effective climate change policymaking through 2026. Funded under the CFDA 47.079 International Science and Engineering program, this collaborative research between U.S. and Australian researchers aims to bridge information gaps between publicly available climate change data and actionable...
This $250,000 five-year Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the development of generative artificial intelligence (AI) frameworks to accelerate scientific discovery and modeling in key domains like climate and energy. The project aims to create AI systems that can efficiently learn from and analyze large-scale scientific data to identify patterns, simulate natural phenomena,...
This $192,632 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences Directorate (CFDA 47.075) supports interdisciplinary research at Purdue University exploring how to improve decision-making processes. The project aims to develop a novel theory and operational framework for understanding how individuals and organizations weigh information sources and aggregate disparate data to reach conclusions, with applications in areas like user interface...
This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of Algorithm-Informed Neural Networks (AINNs), a novel approach to enhancing the transparency, reliability, and efficiency of artificial intelligence (AI) systems. The $150,000 award, made effective May 1, 2025 with an ultimate completion date of April 30, 2027, will enable researchers at the University of North...
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...