This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award of $114,727 to the University of California Irvine (UC Irvine) supports research to develop psychology-aware decision-making algorithms for cyber-physical systems (CPS) that integrate social-psychological dynamics. The goal is to enable harmonious interactions, foster equity, and optimize overall system performance in CPS applications involving multiple humans, such as smart...
This National Science Foundation Project Grant award of $303,891 supports research at Arizona State University to advance machine learning for human-in-the-loop cyber-physical systems. Under the Computer and Information Science and Engineering program, the award funds development of mixed-initiative solutions to enable accurate learning of human behaviors in uncontrolled environments through mobile and wearable devices. Key objectives include investigating combinatorial approaches to maximize...
This five-year, $323,314 National Science Foundation project grant supports research at The Ohio State University to develop modeling techniques for analyzing and designing collaborative behavior in human-robot teams. The grant falls under the NSF's Computer and Information Science and Engineering program, which aims to advance computing and informatics research. Specifically, the researchers will formalize representations for joint human-robot activity using graph theory and agent-based...
This National Science Foundation (NSF) Project Grant, under the Computer and Information Science and Engineering (CFDA 47.070) program, provides $149,951 to Worcester Polytechnic Institute (WPI) to organize a two-year series of 24 hands-on workshops. The workshops will train emerging researchers on utilizing the National AI Research Resource (NAIRR) for advancing AI research in three critical domains: cybersecurity and trustworthy AI, edge AI, and autonomous driving. The goal is to increase...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $200,000 provides funding for a 3-year collaborative research project at the University of Delaware focused on developing TrustSAS, an innovative AI/ML-powered trustworthy Spectrum Access System (SAS) for dynamic spectrum sharing. The key products and services to be delivered through this grant include: Veriss, a framework for verifiable spectrum sensing using graphical neural...
This Project Grant from the National Science Foundation's $389,042 Computer and Information Science and Engineering program will support research at the University of Texas at Austin to develop interaction-aware planning and control techniques for robotic navigation in crowded, dynamic environments. Over a three-year period from September 2022 to August 2025, the university researchers will pursue three goals: first, constructing new algorithms to find approximate equilibrium solutions in...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $749,755 to Carnegie Mellon University to develop a human-centric intelligent facilities integration framework. The project aims to create new computational models and privacy-preserving technologies to better predict and adapt to human behavior and interactions within dynamic facility environments. The research bridges behavioral science,...
This $173,277 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will fund research to design social skills for robots to collaborate effectively with groups of people. The research team at the University of Chicago will develop three key social skills for robots: building rapport with groups, adapting to human-human relationships, and promoting group norms. These skills will be tested in laboratory studies with...
This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $106,000 to the Research Foundation of the City University of New York (RFCUNY) to conduct research on designing smart environments to enhance collective learning and creativity. The key products and services to be delivered under this 3-year award include: Developing large-scale online experiments and computational models to investigate how technological...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $599,986 to Stanford University for research titled "Machine Learning with Behavioral and Social Data." The five-year award beginning in August 2022 will support the development of new machine learning algorithms that model human decision-making descriptively based on behavioral data. The researcher aims to build on recent advances in modeling choices as driven by...