Project Grant 2232146

Award Date 10/1/22
Completion Date 9/30/24
Dollars Obligated $300K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Albany, CA 94710, USA
Similar Awards
This National Science Foundation (NSF) Project Grant award, funded under the Engineering program (CFDA 47.041), supports research to develop a novel framework for privacy-aware and fair data acquisition in multi-agent distributed systems. The $439,961 award to the University of California, Santa Barbara aims to create fair incentives for strategic agents to contribute an appropriate share of private data, enabling efficient and safe operation of critical distributed systems like autonomous...
This $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research into information-theoretic privacy and security for personalized distributed learning systems at the University of California, Los Angeles from March 2022 through February 2025. The grant aims to design personalized learning models that leverage large-scale collaborative data while maintaining individuals' privacy and requiring trust only in one's own...
This $100,000 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research to understand the impact of privacy interventions on the online publishing ecosystem. The three-year award to the New Jersey Institute of Technology will support studies of how publishers comply with and implement privacy regulations, how users respond to new privacy tools, and the effects on user engagement, publisher revenues from online advertising, and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant (CFDA 47.070) award for $241,682 to the Regents of the University of Michigan aims to develop a consolidated framework for computational privacy and machine learning. The project will create tools to protect data privacy in real-world machine learning applications while maintaining utility, fairness, and enabling distributed learning. Key innovations include differential privacy...
This National Science Foundation Project Grant of $123,115 awarded on March 15, 2022 will fund research into the value of consumer data for digital platforms. The research will be conducted under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) through February 2029 at Columbia University. Specifically, the research will investigate how the value of an individual consumer's data record is determined for an intermediary that uses it, such as an e-commerce platform's transaction...
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 three-year, $110,645 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), supports research into the implementation of privacy in software systems by software developers. The Stanford University research team will examine discussions among developers in response to new privacy regulations and laws, related code updates in public repositories, and developer reactions to...
The National Science Foundation awarded a $299,999 Project Grant to the University of California, Los Angeles (UCLA) to assess the relationship between privacy regulations and software development, with the goal of improving rulemaking and compliance. The grant, funded through the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support a multidisciplinary research effort combining legal and engineering expertise. The key products and services to be...
The National Science Foundation awarded a $249,703 Project Grant to the Trustees of Boston University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from October 1, 2022 to September 30, 2025 to develop methods for integrating legal and technical approaches to privacy in the design of sociotechnical software systems. Specifically, the project aims to establish technical interpretations of legal privacy concepts that...
This National Science Foundation project grant of $300,000 will fund foundational research on differentially private Internet measurement from October 2022 to September 2025. Under the Computer and Information Science and Engineering program, researchers at the University of California Irvine will conduct three thrusts of work to lay the groundwork for deploying differential privacy in processing Internet measurement data. Specifically, Thrust 1 will study existing practices for collecting and...

This two-year, $299,998 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research quantifying the fair value of data and privacy in distributed learning environments. The grantee, the Regents of the University of California at Berkeley, will develop a framework for systematically quantifying the value of data at various privacy levels using techniques from economics, game theory, optimization, machine learning and statistics. The project aims to establish a model for a fair and open data market by considering concepts like the Shapley value and heterogeneous user privacy requirements. It also seeks to determine how to price privacy costs and incentivize platforms to design equitable structures for monetizing user data. Outcomes could transform how data is viewed, shared and monetized by balancing benefits to platforms and individuals. The research supports the NSF's mission to advance computing and information sciences through investigator-initiated awards.

Generated 1/6/24, 10:45 AM