Project Grant 2519938
- This $200,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the development, implementation, and study of a novel approach to AI education at Boston College. The project, titled "Research Initiation: Human-Centered AI Algorithm Design for Engineering Students' Professional Formation," aims to help engineering students engage with the ethical, social, and human dimensions of AI. The project will design and test teaching...
- The National Science Foundation (NSF) awarded a $499,997 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to Trustees of Boston University. The grant, titled "CAREER: MAKING DOMAIN-SPECIFIC AI MODELS STEERABLE BY LEVERAGING FOUNDATIONAL MODELS," aims to develop new methods to make AI systems more transparent and adjustable for clinical applications. The project focuses on improving the fairness and reliability of medical AI by...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $687,382 supports research and education focused on the foundations of the next generation of artificial intelligence (AI) for engineering design. The project, titled "CAREER: TOWARDS NEXTGEN-AI: RETHINKING DEEP GENERATIVE MODELS FOR ENGINEERING DESIGN", aims to establish deep generative models (DGMs) designed to handle challenges specific to engineering design across different scales, complexity,...
- This $272,750 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports fundamental research at the Massachusetts Institute of Technology (MIT) on how people make decisions and interact based on information. The key research focuses include: 1) understanding the long-term implications of people's limited or imperfect memory, which can lead to overconfidence and neglect of rare events; 2) examining how people decide...
- This $249,250 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an AI coaching system to enhance surgical teamwork in cardiac operating rooms. Over four years, researchers at the Massachusetts Institute of Technology will design multimodal hardware and algorithms to model, monitor, and generate interpretable feedback on teamwork dynamics using data from cardiac procedures. The goal is to mitigate human...
- This Project Grant award of $148,654 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop statistical tools to improve the reliability of artificial intelligence (AI) used in real-world applications such as automated decision-making, financial forecasting, and neuroscience research. The research will establish mathematically rigorous methods for uncertainty quantification to build trustworthy AI, with applications including enhancing...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $100,000 to the Massachusetts Institute of Technology (MIT) to develop a community research infrastructure platform using repurposed Jibo robots. The goal is to create a shared resource that enables research on developing social and emotional intelligence capabilities for robots, especially in domains like healthcare and companionship. The...
- Carnegie Mellon University was awarded a $738,927 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The three-year project grant, awarded September 1, 2021 and set to be completed by August 31, 2024, will support research toward developing personalized machine learning models, reasoning approaches under data-knowledge symbiosis, and interpretable interaction...
- This Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, will build an artificial intelligence (AI) infrastructure to support research on social policy and poverty reduction. The $142,000 award to Trustees of Dartmouth College will develop a novel, trustworthy AI system that 1) integrates and processes diverse policy-related datasets, 2) creates AI models to learn from existing policies and provide...
- This $599,969 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The grant aims to improve the scientific characterization of human preferences in the context of AI alignment and leverage that knowledge to practically improve AI systems. The research will focus on addressing challenges with the dominant paradigm for AI alignment, which relies on learning from human preferences over...
This federal Project Grant award from the National Science Foundation (CFDA 47.075 - Social, Behavioral, and Economic Sciences) provides $460,999.00 to the Massachusetts Institute of Technology (MIT) to develop a new method for comparing human and artificial intelligence (AI) decision-making. The goal is to generate insights on how to optimally combine human and AI input in high-stakes decisions, such as medical diagnoses. The project will apply this method to compare an AI tool's predictions of lung cancer to radiologists' diagnoses, helping determine the valuable information that humans infer that AI assessments may miss, and how human preferences affect decision quality compared to AI. This research is expected to lead to public health benefits, a deeper understanding of human and AI decisions, and more responsible use of AI in high-stakes settings.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $461.0k | 7/22/25 |