This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $826,361 to Georgetown University to conduct research that develops novel approaches to support Public Interest Technology (PIT) organizations in deploying data safeguards to build ethical and responsible AI systems. The project will: (1) use ethnographic methods to identify socio-technical challenges at PIT organizations, (2) create and evaluate participatory...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $435,594 to Columbia University to develop novel approaches that can support public interest technology (PIT) organizations in deploying data safeguards to build artificial intelligence (AI) systems. The project aims to: (1) use ethnographic research to identify socio-technical decision points and challenges for PIT organizations; (2)...
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...
The National Science Foundation awarded a $600,000 Project Grant to the Trustees of Boston University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into developing new differentially private stochastic optimization algorithms for training neural networks while preserving individual privacy. Specifically, the grantee will investigate fundamental tradeoffs between privacy and performance in modern...
The National Science Foundation (NSF) awarded a $387,044 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University to improve the fundamental limits of privacy-enhancing technologies (PETs). The research aims to develop new PET methods that optimize the balance between preserving individual privacy and enabling comprehensive data analysis for societal benefit in domains such as healthcare, education, and resource allocation. Key...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $300,000 to the Regents of the University of Michigan to design, develop, and deploy artificial intelligence (AI) responsibly. The key objectives are to: (1) establish a baseline understanding of AI, its current use, and impact on communities; (2) shift towards more responsible, community-focused research and development in AI; (3) identify and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a CFDA number of 47.070, provides $379,224 to The Pennsylvania State University (Penn State) from July 2025 to June 2030. The project aims to develop better methods for assessing privacy risks in machine learning (ML) models trained on tabular data, which are commonly used in privacy-sensitive domains like healthcare and finance. The key products and...
This Project Grant award, valued at $199,997.00, was granted by the National Science Foundation (NSF) under its Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award, titled "Advancing Privacy and Security in Complex Networks by Statistical Algorithms: Safeguarding, Monitoring, and Remediation," focuses on improving data privacy and security within complex networks through a comprehensive strategy. The key products and services to be delivered under this...
This $237,859 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research to enhance cybersecurity and privacy techniques for the integration of the Internet of Things (IoT) and Artificial Intelligence, known as the Artificial Internet of Things (AIoT). The key research tasks under this three-year project include: 1) Building a joint research testbed for integrating AI and IoT, 2) Investigating data...
This Project Grant award of $249,998.00, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a database architecture to integrate privacy regulation and compliance processes with artificial intelligence (AI) and machine learning (ML) workflows. The key objectives of this three-year project include: (1) creating a database system that coordinates data privacy policies, AI/ML workflows, and...