Project Grant 2333225
- This National Science Foundation project grant of $400,000 awarded on August 15, 2022 through July 31, 2025 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) will fund research at Duke University to advance statistical and computational methods for releasing high-quality synthetic data as public use files. The research aims to develop novel techniques to improve disclosure risk assessment, quality verification for data analysts, and population generalizability when...
- This $538,133 Project Grant, awarded by the National Science Foundation's (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), funds research on privacy-preserving statistical analysis of continuously generated sensitive data. The project, which runs from August 1, 2025 through July 31, 2028 and is performed at Rutgers University's Newark campus, develops novel algorithms that enable robust differential privacy...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $100,000 to Northeastern University provides funding for a 3-year collaborative research project titled "SATC: CORE: SMALL: Empathy-Based Privacy Education and Design Through Synthetic Persona Data Generation." The project aims to develop new frameworks and tools to enhance privacy education and design through the use of AI-generated synthetic...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will provide $237,951 to the University of Washington (UW) to develop methods for making sensitive biomedical data more findable, accessible, interoperable, and reusable (FAIR) through the creation of open but privacy-preserving synthetic data sets. The goal is to address the "dark data" problem that hinders the development of beneficial AI...
- The National Science Foundation awarded a $207,999 Project Grant to Rutgers, The State University of New Jersey under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant supports the "EAGER: INTEGRATION AND ANALYSIS OF HIGH-DIMENSIONAL DATASET" project being conducted from October 1, 2021 through September 30, 2022. The project will advance development and use of research cyberinfrastructure to enable and accelerate discovery and...
- This $175,000 two-year Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of novel local differential privacy techniques to significantly improve the privacy-utility tradeoff in multi-attribute data analysis. The Rochester Institute of Technology will develop techniques exploiting correlation in multi-attribute data and correlated random...
- Rutgers, The State University was awarded a $749,708 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund the "FMITF: TRACK I: SYNTHESIS AND VERIFICATION FOR PROGRAMMATIC REINFORCEMENT LEARNING" project from October 1, 2021 through September 30, 2025. The project aims to advance the development and use of research cyberinfrastructure to enable and accelerate discovery and innovation in...
- Federal Grant Award Summary Rutgers, The State University received a $899,109 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), awarded on September 1, 2025, with completion targeted for August 31, 2028. This project, titled "Abstraction Refinement-Guided Program Synthesis for Verifiable Robot Learning," delivers research and algorithmic innovations at...
- The National Science Foundation awarded a $1,490,276 project grant to Rutgers, The State University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research from February 1, 2022 to January 31, 2026 to develop robust and efficient physics-based learning and reasoning capabilities for degraded environments. The Computer and Information Science and Engineering program aims to advance computing and informatics research, education, and...
- Federal Grant Award Summary Rutgers, The State University received a $159,940 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) on August 15, 2025, with completion targeted for July 31, 2028. This collaborative research project develops the Predictability-Computability-Stability Inference (PCSI) framework for Veridical Data Science (VDS), a next-generation statistical methodology designed to improve the reliability and...
This Project Grant award from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070) provides $250,000 in funding to Rutgers, The State University of New Jersey to develop the fundamental principles for the systematic study of synthetic data. The research aims to establish properties of synthetic data, formal definitions of "synthetic", and a comprehensive evaluation framework including curated datasets, metrics, and baselines. This work is expected to improve scientific understanding of privacy, utility, and synthetic data, while also cultivating integration of research and education through new security/privacy projects and serving as a teaching tool. The project period runs from October 1, 2023 to September 30, 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 7/18/23 |