Project Grant 2449694
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $300,000 in funding to The University of Kentucky Research Foundation. The project aims to develop new recommender systems and privacy analysis techniques to help mobile app users find applications that meet both their functional needs and privacy expectations. Key objectives include creating novel static analysis methods to...
- 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 federal Project Grant award, valued at $206,542.00 and awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to address privacy accountability challenges within the mobile software ecosystem. The project, conducted by the University of Illinois, aims to establish a more privacy-conscious and accountable mobile ecosystem by: (1) understanding privacy accountability challenges in mobile third-party...
- This $150,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Computer and Network Systems under the CFDA Program 47.070 "Computer and Information Science and Engineering". The award, effective July 1, 2023 through June 30, 2024, supports collaborative research on safeguarding the emerging "miniapp" paradigm within mobile "super apps". The research aims to investigate new security and privacy threats, design secure miniapp APIs, and...
- 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...
- This $590,731 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070). The grant was awarded to Wichita State University to conduct research on detecting and reducing unauthorized personal data collection in mobile applications and their backend servers. The project aims to develop novel techniques to compute the minimum personal information required for app...
- The International Computer Science Institute (ICSI) was awarded a $200,000 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) for the period of June 1, 2023 through May 31, 2026. Under this award, ICSI will measure, validate and improve privacy labels for mobile applications. The organization will study how these labels currently work for app developers, app store administrators and end users, and analyze mobile...
- This $242,329 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program on July 1, 2025 supports research to develop a system that helps mobile device users revisit and rectify past privacy decisions they may regret. The project aims to identify which past privacy decisions are most likely to trigger user regret and only prompt users to revisit those decisions, in order to avoid repetitive alerts. The research, performed by the...
- This $500,000 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will develop curriculum, hands-on labs, and a research platform to engage students in privacy compliance education. The project aims to cultivate a privacy-aware mindset and equip students with the skills to assess privacy compliance in user-centric applications. Key activities include creating new curriculum content, hands-on labs, and a...
- 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...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $299,994 to Louisiana State University (LSU) to develop a new genre of mobile app recommender systems. The project aims to address the critical issue of mobile applications (apps) exposing users to privacy risks by leaking sensitive data. The research will introduce novel static analysis techniques to better understand app behaviors, combining this information with users' privacy expectations to suggest apps that meet both functional and privacy needs. The three-year project, running from October 2025 to September 2028, will promote safer and more trustworthy mobile experiences while advancing people's understanding of online privacy.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/31/25 |