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
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
中文摘要
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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.
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NSF Convergence Accelerator: Privacy and Pandemics: Responsible Use of Data During Times of Crisis
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批准号:2035358
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项目类别:Standard Grant
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资助金额:$9.61万
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财政年份:2020
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负责人:Jules Polonetsky
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依托单位:
Spokes: SMALL: SOUTH: Smart Privacy for Smart Cities: A Research Collaborative to Protect Privacy and Use Data Responsibly
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批准号:1761795
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项目类别:Standard Grant
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资助金额:$34.99万
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财政年份:2018
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负责人:Jules Polonetsky
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依托单位:
RCN: Applied Privacy Research Coordination Network: An Industry-Academic Network to Transition Promising Privacy Research to Practice
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批准号:1837413
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项目类别:Standard Grant
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资助金额:$49.94万
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财政年份:2018
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负责人:Jules Polonetsky
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依托单位:
Privacy Research and Data Responsibility Research Coordination Network
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批准号:1654085
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项目类别:Standard Grant
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资助金额:$29.99万
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财政年份:2016
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负责人:Jules Polonetsky
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依托单位:
Beyond IRBs: Designing Ethical Review Processes for Big Data
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批准号:1547506
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2015
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负责人:Jules Polonetsky
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依托单位:
海外基金