The National Science Foundation (NSF) awarded a $234,347 Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the Regents of the University of Michigan, Office of Research and Sponsored Projects (doing business as the University of Michigan) for the project "Collaborative Research: SATC: CORE: MEDIUM: Beyond App-Centric Privacy: Investigating Privacy Ecosystems Among Vulnerable Populations." The project aims to go beyond app-centric approaches to...
This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of new methods for privacy-preserving data sharing and collaborative analysis of mobile internet measurement data. The total award amount is $180,000 and the project period runs from October 1, 2024 to September 30, 2026. The key objectives are to create quality-explainable data synthesis and augmentation techniques,...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $166,924 aims to enhance privacy leak detection in mobile applications by identifying and analyzing sources of domain-sensitive user data. The key products and services to be delivered include: Conducting a crowdsourcing study to categorize domain-sensitive data within mobile app user interfaces. Developing a novel approach using static and...
This Project Grant award from the National Science Foundation (NSF) Division of Social and Economic Science under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $393,256 to George Mason University to conduct research investigating the broader privacy ecosystems that vulnerable populations experience, beyond just individual mobile applications. The key products and services being delivered under this three-year award include: Qualitative research, including...
The University of Illinois was awarded a $200,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research measuring, validating and improving upon app-based privacy nutrition labels for smartphones. Over a three year period ending in May 2026, the University will apply mixed methods including usability testing, comprehension studies, and multivariate regressions to study how privacy...
The National Science Foundation awarded a $280,000 Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of Maryland, College Park to conduct research into privacy ecosystems and management strategies for vulnerable populations. The project aims to go beyond an app-centric view of privacy by examining the broader privacy risks faced by vulnerable individuals, particularly in the healthcare context. Through qualitative research including...
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 University of Florida, through its Division of Sponsored Research, was awarded a $374,996 Project Grant by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program. This grant supports a 1-year research project titled "SATC: CORE: MEDIUM: Situation-Aware Identification and Rectification of Regrettable Privacy Decisions." The project aims to develop techniques that help mobile device users revisit and rectify past...
This National Science Foundation (NSF) Project Grant award, under the CFDA 47.070 Computer and Information Science and Engineering program, provides $250,000 in funding to Arizona State University to develop intelligent anonymization methods for preserving the privacy of clients' bio-signals while retaining data utility for clinical purposes. The key products and services delivered through this 3-year award (10/1/2024 - 9/30/2027) include: 1) Designing reinforcement learning-guided generative...
This three-year, $439,355 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), will fund research into the impact of new privacy regulations on software development practices. The International Computer Science Institute will lead a collaborative effort to study how software developers discuss and implement privacy requirements from evolving laws and regulations. The...