This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...
This $801,660 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to Georgia Tech Research Corporation ("Georgia Tech") aims to develop an interactive artificial intelligence (AI) system called the "Trustworthy, Explainable, and Adaptive Monitoring Machine for AI Teams" (TEAMMAIT). This system is intended to help upskill the mental health workforce by providing individualized, real-time feedback to clinicians on their use...
The National Science Foundation (NSF) awarded a $1,215,099 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Carnegie Mellon University (CMU) to develop an end-to-end AI system for integrating healthcare artificial intelligence (AI) into clinical practice. The project, titled "MAGENTA: Multimodal Interactive Generalist Health AI," aims to create novel AI models capable of jointly analyzing time-series, text, image, and numerical data from...
Carnegie Mellon University was awarded a $360,000 project grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's 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. Under this award, Carnegie Mellon University will conduct collaborative research on trustworthy and explainable...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop theoretical and algorithmic foundations for building a "human-AI ecosystem with long-term safety assurance." The research objectives are to: 1) create an analytical framework to characterize human-AI interactions, 2) examine feedback effects between agents and the machine learning system, and 3) establish a...
This $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research into the "Impact of Artificial Intelligence Aids on Clinical Skill Acquisition, Atrophy and Adaptation" from October 2021 through September 2025. The award is made under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in these fields as well as monitoring science...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $460,000 Project Grant to the New Jersey Institute of Technology (NJIT) to support the "TRAPEZE: Responsible AI-Assisted Talent Acquisition for HR Specialists" project. This 4-year effort aims to empower human resources (HR) specialists in the technology and retail industries to better understand, validate, and influence the use of automated decision systems (ADS) in candidate screening and...
The National Science Foundation (NSF) awarded a $300,000 Early-concept Grant for Exploratory Research (EAGER) under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to conduct research on expanding the use of artificial intelligence (AI) in manufacturing. The project focuses on developing deep clustering and generative modeling techniques to identify geometric similarities between new part designs and existing designs to improve...
This $300,000 Project Grant was awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084). The award aims to investigate algorithmic biases in artificial intelligence (AI)-based ergonomic assessments to ensure the ethical design and deployment of responsible and explainable AI technologies for worker health and safety. Key objectives include obtaining stakeholder perspectives, identifying sources of algorithmic biases,...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $1,999,675 to The Pennsylvania State University ("Penn State") to develop a neuroscience-inspired visual analytics system for persons with visual impairments. The project envisions an energy-efficient, AI-powered cognitive assistant that can understand the visual field, reason about object relationships, and deduce how they relate to the user's goals, through novel...
The National Science Foundation (NSF) awarded a $650,000 Project Grant under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to develop an interactive artificial intelligence (AI) system called the Trustworthy, Explainable, and Adaptive Monitoring Machine for AI Teams (TEAMMAIT). This system aims to help address the national shortage of mental health workers skilled in research-supported treatment protocols. The project will investigate how to effectively and ethically integrate AI-based "teammate" systems to upskill this workforce and improve access to quality mental healthcare. Over the 4-year award period ending August 31, 2027, the research team will prototype and evaluate TEAMMAIT, develop guidelines for implementing worker-AI teaming in mental health work, and generate ethical best practices for these intelligent work technologies. No sub-awards are planned under this project.