课题基金 / 基金详情

NSF Convergence Accelerator: The Future of Privacy Technology-Inaugural Conference of the Privacy Tech Alliance

NSF Convergence Accelerator: The Future of Privacy Technology-Inaugural Conference of the Privacy Tech Alliance
NSF 融合加速器:隐私技术的未来——隐私技术联盟成立大会
批准号:
1939288
负责人:
Jules Polonetsky
金额:
$3.78万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-02-01 至 2020-07-31

项目摘要

项目成果

Jules Polonetsky的其他基金

相似基金

相关文献

中文摘要
翻译
隐私的未来论坛(FPF)将组织会议,并对行业利益相关者进行调查,以帮助制定“隐私的未来”的长期愿景。通过这些活动,FPF寻求启动一个蓬勃发展的协作社区,该社区将有目的地整合来自多个学科和部门的知识和专业知识,以便通过隐私保护技术平衡数据治理和个人隐私的要求。行业专家和从业者与该领域的学术研究人员的配对?使用NSF融合加速器方法——将有助于系统和产品的发展,帮助社会实现网络信息技术的好处,而不牺牲隐私和个人权利。该项目的成果将有助于形成研究和实践的议程,以实现这一成果。鉴于数据对现代组织和社会的中心地位,数据治理是一个需要解决的关键当代商业和社会问题。无论是在商业和工业、政府、高等教育、非营利组织还是民间社会组织,解决数据隐私问题的需求和需求遍及各个工作领域。所有组织,无论规模大小,都需要能够在其运营中嵌入隐私和数据保护的解决方案,并提供访问有助于保护个人数据的工具。随着数据密集型技术影响的增加和创新步伐的加快,更广泛地收集和处理个人数据所带来的隐私风险也在增加。随着数据生态系统和监管要求变得越来越复杂,组织正在迫切寻求遵守法律的方法,并确保为其客户、客户和选民提供所有必要的数据保护。现代数据治理的技术、组织和后勤复杂性,以及保护和尊重个人隐私权的迫切需要,构成了一个巨大的挑战。大挑战问题?FPF将调查一个?隐私技术跟踪?NSF吗?“融合加速器”,以促进工业界和学术界在技术解决方案方面的合作,并向保护隐私的实践过渡。该项目包括以下活动:设计一项针对行业隐私领导者的调查,就隐私技术的未来与其业务和政策需求和目标有关提供意见;在会议上对行业隐私负责人进行调查;准备一份报告,该报告将提供行业反应的总结和分析,确定研究和商业机会,以填补当前隐私技术领域的空白,并建议可以采取的行动。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
The Future of Privacy Forum (FPF) will organize meetings and conduct a survey of industry stakeholders to help develop a long-term vision for the "future of privacy." Through these activities, the FPF seeks to jump-start a thriving collaborative community that will purposefully integrates knowledge and expertise from multiple disciplines and sectors in order to balance the requirements of data governance and individual privacy, through privacy-protecting technology. The pairing of industry experts and practitioners with academic researchers in this area?using the NSF Convergence Accelerator approach--will help contribute to the development of systems and products to help society realize the benefits of networked information technology without sacrificing privacy and individual rights. The results of this project will help shape the agenda of both research and practice to achieve this outcome.Given the centrality of data to modern organizations and to society, data governance is a key contemporary business and societal problem that needs to be addressed. The need and demand for addressing data privacy issues reaches across every sphere of work, whether in business and industry, government, higher education, non-profits, or civil society organizations. All organizations, regardless of their size, will require solutions that enable them to embed privacy and data protection in their operation and provide access to tools that help safeguard personal data. As the impact of data-intensive technologies increases and the pace of innovation accelerates, the resultant privacy risks from more extensive collection and processing of personal data also increase. As the data ecosystem and regulatory requirements grow more complex, organizations are urgently seeking ways to comply with the law and ensure all necessary data protections for their customers, clients and constituents. The technical, organizational, and logistical complexity of modern-day data governance, along with the pressing need to protect and respect individual privacy rights, constitute a ?grand challenge problem?. The FPF will investigate the possibility of a ?privacy technology track? for NSF?s Convergence Accelerator, to promote industry and academic collaborations on technical solutions and transition to practice to protect privacy. The project includes the following activities: design of a survey to industry privacy leaders to provide input on future of privacy technology as relates to their business and policy needs and objectives; administering a survey to industry privacy leaders at meetings; and preparation of a report that will provide a summary and analysis of the industry response, identifying research as well as business opportunities, to fill gaps in the current privacy technology landscape and recommended action(s) that can be taken.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(0)
专著(0)
科研奖励(0)
会议论文
NSF Convergence Accelerator: Privacy and Pandemics: Responsible Use of Data During Times of Crisis
Spokes: SMALL: SOUTH: Smart Privacy for Smart Cities: A Research Collaborative to Protect Privacy and Use Data Responsibly
RCN: Applied Privacy Research Coordination Network: An Industry-Academic Network to Transition Promising Privacy Research to Practice
Privacy Research and Data Responsibility Research Coordination Network
海外基金