| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | June 8, 2020 |
| Latest Amendment Date: | July 24, 2024 |
| Award Number: | 1956435 |
| Award Instrument: | Continuing Grant |
| Program Manager: |
Phillip Regalia
pregalia@nsf.gov (703)292-2981 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | October 1, 2020 |
| End Date: | September 30, 2026 (Estimated) |
| Total Intended Award Amount: | $2,549,999.00 |
| Total Awarded Amount to Date: | $2,549,999.00 |
| Funds Obligated to Date: |
FY 2022 = $509,462.00 FY 2023 = $525,419.00 FY 2024 = $544,014.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
3720 S FLOWER ST FL 3 LOS ANGELES CA US 90033 (213)740-7762 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
3720 S. Flower St. Los Angeles CA US 90089-0001 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Secure &Trustworthy Cyberspace |
| Primary Program Source: |
01002021DB NSF RESEARCH & RELATED ACTIVIT 01002324DB NSF RESEARCH & RELATED ACTIVIT 01002021DB NSF RESEARCH & RELATED ACTIVIT 01002425DB NSF RESEARCH & RELATED ACTIVIT 01002122DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
Personal data collection typically starts on user devices, with the data then shared with service providers and trackers, obtained by malicious actors, and/or used for surveillance. The services enabled by this data come at the expense of privacy, security, transparency, and fairness, for individuals and society as a whole. Increased public awareness has led to landmark legislation on data protection, such as the EU?s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Policymakers need to be further informed by technology, however, to formulate relevant and enforceable policies, and end-users still need tools to protect themselves. This project seeks to protect personal information, by improving the transparency and control of data flow on the Internet, using a multidisciplinary approach that combines methodologies from computer science (theory, network measurement, security) with policy and economics, and crosses multiple application domains (web, mobile, and Internet-of-Things).
Conceptual frameworks are developed for personal information flow on the Internet, as well as systems for monitoring and mediation. Existing systems are improved for measuring the tracking and discrimination of personal information, and for explicitly controlling privacy-utility tradeoffs. To provide long-term privacy-by-design alternatives, the project pursues verifiable IoT architectures seeking to decentralize the advertising ecosystem and eliminate intermediaries. The project likewise leverages technology to inform policy specification and to provide tools to audit and enforce policies. The broader impacts of the project include: (1) informing policymakers, nonprofit advocates, and industry players through interactions with relevant stakeholders; (2) training next-generation graduate and undergraduate students jointly in technology and policy; and (3) broadening participation of women, underrepresented minorities, and community college students.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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