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Collaborative Research: Workshop to Develop a Roadmap for Greater Public Use of Privacy-Sensitive Government Data

Collaborative Research: Workshop to Develop a Roadmap for Greater Public Use of Privacy-Sensitive Government Data
合作研究:制定路线图以扩大公众使用隐私敏感政府数据的研讨会
批准号:
2129895
负责人:
Christopher Clifton
金额:
$3.17万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-05-01 至 2022-04-30

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中文摘要
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英文摘要
Recent events have shown the value of better data sharing; the rapidity of change in COVID-19 and the difficulty of coordinating response is a clear example. At the same time, public concern over privacy is increasing, making it more difficult to collect reliable data. Improved use of government data by a wide range of users has potential to improve research as well as day-to-day operations at a variety of levels, from local to national and global. Government data can also foster innovation, providing opportunities for small companies based on large-scale data analysis that are increasingly reserved for large organizations capable of gathering their own data (often in ways that raise privacy concerns). We are running a 2-day workshop to identify challenges and explore mechanisms (technical, legal, and procedural) to enable greater use of privacy-sensitive data held by government agencies.Privacy technology has experienced great advances over the past decade. Breakthroughs such as fully homomorphic encryption, differential privacy, and advances in secure multiparty computation have great promise to enable broader public use of data, while maintaining individual privacy. While there have been some successes, there are many applications where there is a significant gap between what technology offers, data needs of users, and policies and procedures to ensure privacy. This includes best practices as well as research and policy challenges that limit effective use of data. This workshop explores these concerns, highlighting new research challenges based on actual user needs for government data. This covers research in underlying technologies that address real-world challenges, as well as research in policy to enable use of technology in ways that provide appropriate levels of protection for privacy-sensitive data. The outcome will be a report identifying unmet needs of data users, issues limiting broader use of government data, and technologies and policies that show promise of bridging these gaps. This will serve as a roadmap for research investment to address these challenges.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.
期刊论文(1)
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会议论文
A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report
扩大公众使用隐私敏感政府数据的路线图:研讨会报告
DOI: 10.48550/arxiv.2208.01636
发表时间: 2022
期刊: ArXivorg
影响因子: --
作者: [Clifton, Chris, Malin, Bradley, Oganian, Anna, Raskar, Ramesh, Sharma, Vivek]
通讯作者: Sharma, Vivek
Collaborative Research: SaTC: CORE: Medium: Broad-Spectrum Facial Image Protection with Provable Privacy Guarantees
  • 批准号:
    2114123
  • 项目类别:
    Standard Grant
  • 资助金额:
    $53.12万
  • 财政年份:
    2021
  • 负责人:
    Christopher Clifton
  • 依托单位:
FAI: Identifying, Measuring, and Mitigating Fairness Issues in AI
  • 批准号:
    1939728
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.69万
  • 财政年份:
    2020
  • 负责人:
    Christopher Clifton
  • 依托单位:
ITR - (ASE+NHS) - (dmc+int): Privacy-Preserving Data Integration and Sharing
  • 批准号:
    0428168
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2004
  • 负责人:
    Christopher Clifton
  • 依托单位:
Collaborative Research: ITR: Distributed Data Mining to Protect Information Privacy
  • 批准号:
    0312357
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.63万
  • 财政年份:
    2003
  • 负责人:
    Christopher Clifton
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
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