Project Grant 2452779
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $1.3M
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Philadelphia, PA 19104, USA
Similar Awards
- This $117,451 federal Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports research to develop novel approaches that can help Public Interest Technology (PIT) organizations deploy data safeguards when building AI systems. The project engages a multi-disciplinary team to conduct ethnographic and computational research on using disclosure limitation techniques, including differential privacy, to...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $250,000 to The Trustees of the University of Pennsylvania to develop advanced statistical methods for integrating and analyzing large-scale data from multiple sources, such as electronic health records and genomics data. The project aims to devise new data-driven algorithms with theoretical optimality guarantees for transfer learning, as well as adversarially...
- The National Science Foundation (NSF) awarded a Project Grant totaling $599,649 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Trustees of Indiana University (doing business as Indiana University) for the "SCIPDF: Usable Private Data Federation for Secure Scientific Collaboration" project. This project aims to "democratize" the complex pipeline of Private Data Federations (PDFs), making cutting-edge PDF features accessible to the...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) to Virginia Polytechnic Institute & State University supports the development of methods to allow organizations to safely share machine learning models trained on sensitive patient data without compromising individual privacy. The $128,985 project, running from October 2025 to September 2028, aims to create new techniques for auditing models, certifying their privacy...
- This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports research to develop novel approaches for enabling participatory privacy protections for AI training data. The $120,511 award to the Fred Hutchinson Cancer Center in Seattle, WA will engage a multi-disciplinary team to conduct ethnographic and computational research. The key objectives are to: (1) identify socio-technical decision points and...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $129,032.00 to develop methods for auditing and certifying the privacy guarantees of machine learning models trained on sensitive patient data. The research aims to create techniques that allow organizations to safely share these models without compromising individual privacy, in order to advance medical research and scientific discovery, enhance healthcare...
- This Project Grant award of $300,000.00 from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure supports the development of a novel zero-trust and traceable data-sharing infrastructure called WEB3DB. The project aims to address limitations of the current centralized data ecosystem by empowering individuals to control and manage access to their personal health IoT data. Key research outcomes include: (1) novel decentralized identity management and access control...
- This $238,925 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program is supporting the development of advanced privacy protection methods for graph-based intrusion detection systems. The University of California, Irvine is leading this research project to create cryptographic protocols and data partitioning strategies that enable organizations to collectively analyze network traffic data to detect cyber attacks, without...
- The National Science Foundation (NSF) awarded a $379,224 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Pennsylvania State University. The project, titled "CAREER: PRIVACY AUDITING FRAMEWORKS AND DEFENSES FOR MACHINE LEARNING MODELS TRAINED ON TABULAR DATA," aims to develop methods for assessing and mitigating privacy risks in machine learning (ML) models trained on sensitive tabular data, such as patient records or financial...
- This Project Grant award, valued at $470,670.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The award aims to investigate the incentives that influence participation in data sharing and collaborative machine learning, with the goal of creating environments where data sharing supports collaboration and innovation. The research will focus on developing theoretical foundations and protocols...