Research coordination network (RCN) for privacy preserving data sharing and analytics
Active Project Grant Awarded Last action
- Award ID
- 2413978
- Recipient
-
FPF Education And Innovation Foundation UEI QB24LJLXJXM3
- Awarding agency
-
Division of Computer and Network Systems
National Science Foundation
- Obligated
- $490,133
Award facts
- Assistance listing
- 47.070 Computer and Information Science and Engineering
- Completion date 77% complete
- Funding agency
- National Science Foundation
- Place of performance
- Washington, DC 20005, USA
Award details come from USAspending.gov.
Description
- Abstract
- The advance of information technology, including artificial intelligence, has made the collection, analysis, and use of data central to research and economic activity. However, when those data are about people and what they do, there are risks to privacy that can grow with the sophistication of the analysis. In response, the future of privacy forum education and innovation foundation (FPF) is convening a research coordination network (RCN) for privacy preserving data sharing and analytics. The RCN is bringing together experts from academia, industry, and government to support the development, deployment, and scaling of privacy enhancing technologies (pets)?tools that allow for data analysis without sacrificing privacy. While petsthey can mitigate risk, there are many factors holding back these technologies? Widespread use. One of the biggest stumbling blocks to the broader adoption of pets in research is the current lack of clarity regarding how regulators will interpret and enforce privacy rules when organizations use them. The RCN is working to resolve this issue by bringing stakeholders together to discuss the use of pets and explore how rules and standards can promote their appropriate use. The project team is convening a multidisciplinary, cross-sector, and international expert group of scholars and practitioners who focus on pets development and use to understand the risks of data sharing and analytics for marginalized and vulnerable groups, along with civil rights and civil liberties writ large. This work is in direct response to recommendations from the national strategy to advance privacy preserving data sharing and analytics. Further, the team is convening a secondary sub-network of high-level regulators from around the world that will inform and respond to the primary network, addressing the legal frameworks relevant to pets adoption. With input from both groups, the project team is developing and disseminating new guidance to accelerate progress toward a privacy-preserving data-sharing and analytics ecosystem that advances democratic values and will foster convergence, characterize and strive to narrow persistent differences, and illuminate options to support broad deployment of pets. The team is examining multiple mechanisms for this deployment, including via new technology, law and regulation, and/or standards and certifications. The team is particularly focused on use cases for pets that support privacy-preserving machine learning and pets that U.S. Federal agencies may need to support the equitable use of AI. 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.- subawards are not planned for this award.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $0 | |
| Original award | $490,133 |
Quick answers
Who received award 2413978?
2413978 was awarded to FPF Education And Innovation Foundation by Division of Computer and Network Systems (National Science Foundation) on July 1, 2024.
How much is award 2413978 worth?
$490,133 has been obligated on 2413978.
Which agency awarded 2413978?
Division of Computer and Network Systems (National Science Foundation) awarded 2413978, with funding from National Science Foundation.
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