Project Grant 2449442
- 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 $696,824 federal Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), supports research at the University of North Carolina at Chapel Hill (UNC-CH) to develop robust and interpretable multi-modal AI/ML models for precision medicine. The project aims to address key challenges in integrating complex, heterogeneous biomedical data...
- This Project Grant award of $215,549.00 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into how universities are using and adapting AI systems, particularly for surveillance functions in areas such as learning management, campus safety, and research. The project, conducted by the University of North Carolina at Chapel Hill (UNC-CH), uses mixed methods to study the societal implications of AI systems in higher...
- The National Science Foundation (NSF) awarded a $175,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Wake Forest University. The grant, with a period of performance from June 15, 2025 to May 31, 2027, aims to address computational inefficiencies in current explainable AI methods. Key objectives include accelerating computationally demanding interpretation algorithms, constructing unified explainer models using manifold-based...
- This Project Grant award of $150,000 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program supports research on "Algorithm-Informed Neural Networks (AINNs)". The key objectives are to develop neural network architectures that integrate well-established algorithmic principles to enhance the explainability, reliability, and efficiency of AI systems. By embedding logical steps into AI models, this approach aims...
- This Project Grant award of $165,000.00 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Clemson University to develop a comprehensive framework for the principled use of artificial intelligence (AI) technologies in data-intensive education research. The project aims to benefit society by enabling more trustworthy education research, fostering public confidence in AI applications, and ensuring technological advances serve all...
- The National Science Foundation (NSF) awarded a $382,000 Computer and Information Science and Engineering (CISE) program grant (CFDA 47.070) to North Carolina Agricultural and Technical State University (NC A&T) to expand AI research, education, and workforce development capabilities at the institution. The 2-year project, running from October 2024 to September 2026, aims to: Develop robust, explainable, fair, and privacy-preserving AI models for COVID-19 detection and analysis of biomedical...
- This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...
- The National Science Foundation (NSF) awarded a $200,000 Project Grant through the Computer and Information Science and Engineering program (CFDA 47.070) to the University of South Carolina. This two-year grant supports research to develop safety-constrained virtual health assistants (VHAs) that leverage knowledge graphs to integrate clinical protocols and practice guidelines. The goal is to enable VHAs to provide accurate, safe, and transparent healthcare support while fostering improved...
- This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) will support the development of an artificial intelligence (AI) solution for accurate medical coding to improve healthcare billing. The project, led by St. John's University in New York, aims to overcome limitations of current automated biomedical content annotation systems, such as bias, errors, and lack of adaptability. The AI-driven system...
This $319,942 Project Grant awarded by the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) to the University of North Carolina at Chapel Hill (UNC-CH) focuses on building a collaborative and transparent open-source ecosystem to strengthen the reliability of artificial intelligence (AI) applications in healthcare. The project aims to enhance the safety, robustness, and interpretability of medical AI systems by developing shared infrastructure, governance structures, and community engagement strategies. Key outcomes include more consistent clinical decision-making, improved patient safety, and greater transparency in AI-assisted healthcare workflows. The project will also provide educational resources and technical guidance on evaluating and applying reliable AI systems in practice. This initiative is designed to support a wide range of users involved in the evaluation, deployment, and oversight of medical AI systems. The award period is from August 1, 2025 to July 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $20.0k | 8/15/25 | ||
| Not listed | $299.9k | 7/31/25 |