NSF Convergence Accelerator: Privacy and Pandemics: Responsible Use of Data During Times of Crisis
NSF Convergence Accelerator: Privacy and Pandemics: Responsible Use of Data During Times of Crisis
批准号:
2035358
负责人:
Jules Polonetsky
金额:
$9.61万
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:
2020-09-01 至 2021-02-28
中文摘要
NSF融合加速器支持基于团队的多学科努力,以应对国家重要性的挑战,并在不久的将来显示出交付成果的潜力。本次研讨会的目的是探讨2020财年NSF融合加速器的潜在主题。隐私的未来论坛(FPF)将召开一次研讨会,主题是“在危机时期负责任地使用数据”,针对流行病和其他危机情况。研讨会将汇集美国政府领导人、国际数据保护机构、企业领导人、技术专家、学术研究人员和公共卫生专家,研究在危机期间收集和保护数据以支持公共卫生倡议的好处、风险和战略,包括新冠肺炎。确保领导应急工作的美国和全球利益攸关方拥有基于数据的知识、工具和治理结构,以应对大流行挑战,这是我们这个时代具有决定性意义的公共政策问题之一。本次研讨会将探讨拟议的融合加速器路径,以加速政府、行业和学术研究人员之间的合作,使卫生数据有效和可用,并对未来应对流行病和其他危机情况的准备产生积极的持久影响。该项目的目标有三个:1)将专业知识带给不同的政策制定者和行业领导者,以便及时考虑、合作和适当地应用;2)解决一系列重大问题和技术中的一些优先研究问题;3)确定挑战、信息差距和未来的研究和开发领域。C-Accel研讨会将作为一个“虚拟会议”进行,旨在让与会者身临其境地讨论和审议来自顶级COVID的主题/调查结果,以及由FPF组织的隐私与流行病教育系列中出现的与数据相关的问题。将使用三个讨论支柱作为组织主题:人工智能-伦理-健康。该项目将制定一份协调一致的全球“路线图”(白皮书),以在研究方向、实践改进和隐私保护产品与服务的开发方面指明前进方向,为新冠肺炎和危机形势政策提供信息,并为未来的流行病和其他危机做准备。该奖项反映了美国国家科学基金会的法定使命,并已通过使用基金会的智力优势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 NSF Convergence Accelerator supports team-based, multidisciplinary efforts that address challenges of national importance and show potential for deliverables in the near future. The objective of this workshop is to explore topics for potential NSF Convergence Accelerator tracks for FY 2021.The Future of Privacy Forum (FPF) will convene a workshop on “The Responsible Use of Data During Times of Crisis”, for pandemics as well as other crisis situations. The workshop will bring together US government leaders, international data protection authorities, corporate leaders, technologists, academic researchers and public health experts to examine benefits, risks, and strategies for the collection and protection of data in support of public health initiatives during crises, including for COVID-19. Ensuring that US and global stakeholders leading emergency efforts have the data-based knowledge, tools and governance structures to navigate pandemic challenges is one of the defining public policy issues of our time. This workshop will explore a proposed Convergence Accelerator track to accelerate collaboration among government, industry and academic researchers to make health data effective and usable and achieve positive lasting impact on future preparedness for pandemics and other crisis situations.The objectives of the project are three-fold: 1) to bring expert knowledge to a diverse audience of policymakers and industry leaders for timely consideration, collaboration and application as appropriate, 2) to address a number of priority research questions across a range of top issues and technologies, and 3) identify challenges, information gaps, and prospective areas for research and development. The C-Accel workshop will proceed as a “virtual conference” designed to engage participants in immersive discussion and consideration of topics/findings from top COVID and data-related issues that emerged from the Privacy & Pandemics educational series organized by FPF. Three discussion pillars will be used as organizing themes: AI-Ethics-Health. The project will produce a coordinated global “roapmap” (white paper) to point the way forward in research directions, practice improvements, and development of privacy-preserving products and services to inform COVID-19 and crisis situation policies and in preparation for future pandemics and other crises.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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会议论文
NSF Convergence Accelerator: The Future of Privacy Technology-Inaugural Conference of the Privacy Tech Alliance
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批准号:1939288
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项目类别:Standard Grant
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资助金额:$3.78万
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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