NSF Convergence Accelerator: Privacy and Pandemics: Responsible Use of Data During Times of Crisis

NSF 融合加速器：隐私与流行病：危机期间负责任地使用数据

• 批准号: 2035358
• 负责人: Jules Polonetsky
• 金额: $ 9.61万
• 依托单位: FPF Education and Innovation Foundation
• 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
• 起止时间: 2020-09-01 至 2021-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2035358&HistoricalAwards=false
• 关键词: NSF; Convergence; Accelerator; Privacy; Pandemics

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.

NSF融合加速器支持以团队为基础的多学科努力，以应对国家重要性的挑战，并在不久的将来展示可交付成果的潜力。本次研讨会的目的是探索2021财年NSF融合加速器的潜在主题。隐私论坛的未来（FPF）将召开一个关于“危机时期负责任地使用数据”的研讨会，用于流行病以及其他危机情况。该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，研究收集和保护数据的好处、风险和策略，以支持危机期间的公共卫生举措，包括COVID-19。确保领导紧急行动的美国和全球利益相关者拥有基于数据的知识、工具和治理结构，以应对大流行病的挑战，是我们这个时代的决定性公共政策问题之一。本次研讨会将探讨一个拟议的融合加速器轨道，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，并对未来预防流行病和其他危机局势产生积极的持久影响。该项目的目标有三个方面：1）将专家知识带给决策者和行业领导者等各种受众，以便及时考虑、协作和酌情应用，2）解决一系列重大问题和技术的一些优先研究问题，3）确定挑战，信息差距和研究和开发的前景领域。C-Accel工作坊将以“虚拟会议”形式进行，旨在让参与者沉浸式地讨论和考虑FPF举办的隐私大流行教育系列中出现的主要COVID和数据相关问题的主题/发现。三个讨论支柱将被用作组织主题：AI-伦理-健康。该项目将产生一个协调一致的全球“区域办事处地图”（白色文件）指出研究方向、实践改进、并开发隐私保护产品和服务，以告知COVID-该奖项反映了NSF的法定使命，并通过使用基金会的智力价值进行评估，被认为值得支持和更广泛的影响审查标准。