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: 2129909
• 负责人: Bradley Malin
• 金额: $ 3.28万
• 依托单位: Vanderbilt University Medical Center
• 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
• 起止时间: 2021-05-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2129909&HistoricalAwards=false
• 关键词: Collaborative; Research; Workshop; Develop; Roadmap

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, federated and split learning, 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 explore 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 and business models to enable use of technology in ways that provide appropriate levels of sharing and 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.

最近的事件显示了更好的数据共享的价值; COVID-19的快速变化和协调应对的困难就是一个明显的例子。与此同时，公众对隐私的担忧日益增加，这使得收集可靠数据变得更加困难。广泛的用户更好地使用政府数据，有可能改善从地方到国家和全球各级的研究和日常业务。政府数据还可以促进创新，为基于大规模数据分析的小公司提供机会，而大规模数据分析越来越多地保留给有能力收集自己数据的大型组织（通常以引发隐私问题的方式）。 我们正在举办为期2天的研讨会，以确定挑战并探索机制（技术的、法律的的和程序的），以更好地利用政府机构持有的隐私敏感数据。隐私技术在过去十年中取得了巨大进步。诸如全同态加密、差分隐私、联合和分裂学习以及安全多方计算的进步等突破性技术，在维护个人隐私的同时，为更广泛的公众使用数据带来了巨大的希望。 虽然取得了一些成功，但在许多应用程序中，技术提供的内容、用户的数据需求以及确保隐私的政策和程序之间存在着巨大差距。 这包括最佳做法以及限制有效使用数据的研究和政策挑战。 本次研讨会探讨了这些问题，并根据用户对政府数据的实际需求强调了新的研究挑战。这包括解决现实世界挑战的基础技术研究，以及政策和商业模式研究，以使技术的使用能够为隐私敏感数据提供适当的共享和保护水平。其成果将是一份报告，确定数据用户未满足的需求、限制更广泛使用政府数据的问题以及有望弥合这些差距的技术和政策。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。