Project Grant 60NANB25D119
- This federal Project Grant award, provided by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program, is for the establishment of the CMU/NIST AI Measurement Science & Engineering Cooperative Research Center (AIMSEC). The $6,000,000 grant, awarded on October 1, 2024, aims to facilitate collaborative research and experimentation to advance the nation's capability for test and evaluation of modern AI...
- This $150,000 federal Project Grant award from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program supports the establishment of a Standing Committee on AI Technologies and Emerging Implications (SCAITEI). The key activities include: Convening the SCAITEI to track AI advancements and explore associated technical, societal, ethical, and policy issues, through regular meetings, workshops, and expert...
- The National Institute of Standards and Technology (NIST) awarded a $155,925 Project Grant under the Measurement Science and Engineering (MSE) Research Grant Programs (CFDA 11.609) to Burt & Hall LLP (dba Bnh.ai), a self-certified small disadvantaged business, to conduct research focused on trustworthy and responsible artificial intelligence (AI). The key products and services to be delivered through this one-year award include: Operationalizing best practices in AI risk frameworks,...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $900,000 to the University of California, Irvine to develop new methods for measuring and optimizing human-AI decision-making partnerships. The project focuses on three core research activities: (1) creating Bayesian inference frameworks to dynamically evaluate human and AI agent abilities; (2) developing adaptive optimization algorithms to manage decision...
- The National Science Foundation awarded a $400,000 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to The Trustees of Princeton University to develop new online tools and platforms that enable behavioral science researchers to conduct large-scale experiments studying human-AI interactions. The project aims to build infrastructure that allows thousands of humans and AI "bots" to meet and interact, enabling scientists to investigate how humans...
- 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...
- 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...
- This $460,999.00 project grant, awarded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research developing a new method for comparing human and artificial intelligence (AI) decision-making. The goal is to generate insights on how to effectively combine human and AI input for high-stakes decisions, such as medical diagnoses. The project will apply these methods to compare an AI tool's predictions of lung cancer to radiologists'...
- This $300,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program 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. The key objectives are to: (1) obtain stakeholder perspectives on AI-based ergonomic assessments, (2) identify sources of algorithmic biases, (3) develop and evaluate...
- The National Institute of Standards and Technology (NIST) awarded a $300,000 Project Grant under the Measurement and Engineering Research and Standards (CFDA 11.609) federal grant program to the University of Maryland, College Park to research how different large language model (LLM) interfaces can support the capabilities of cybersecurity professionals. The 2-year project aims to understand how cybersecurity practitioners currently use AI tools, the perceived risks and benefits, and how AI is...
This Project Grant award, funded by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program, seeks to improve measurement science for the multi-dimensional impacts of human-AI teaming in the workplace. The $317,526 project, awarded to The Johns Hopkins University, will develop an evaluation framework to assess the benefits of human-AI teaming at both the individual and organizational levels. The project will validate the framework through a case study on the adoption of an AI healthcare scribe system at Johns Hopkins Medicine, and engage leadership to gain insights into AI adoption decision-making. The expected outcomes include an initial multi-dimensional evaluation framework and empirical insights to inform the principles for the informed organizational adoption of AI at scale.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $317.5k | 9/4/25 |