Workshop: Advancing ethics for trustworthy cyberspace and data analytics

研讨会：促进值得信赖的网络空间和数据分析的道德规范

• 批准号: 1821912
• 负责人: Susan Sterett
• 金额: $ 0.88万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-08 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821912&HistoricalAwards=false
• 关键词: Workshop; Advancing; ethics; trustworthy; cyberspace

Big data analytics centers promise to address central public policy problems such as health disparities and access, mitigating natural and human disasters, contributing to social stability in urban settings, and managing and planning habitat for wildlife. Embedded in these problems are central ethical questions that take up issues of privacy, inequalities, validity, and meaningful use. National commitments to bringing new analytical skills to the collection and analysis of data make a theoretically and empirically driven analysis of ethics crucial to science and society. Those who develop new analytical tools are not always closely connected to those who use them, yet collaboration develops meaningful ethical practices. This workshop will develop a collaborative strategy for ethical big data practices by including data scientists, local government officials, community stakeholders, and social scientists. Bringing together these various stakeholders will build research teams and projects that combine ethics and big data in productive ways.Problems are better defined and gain better answers when people from diverse perspectives are included in the design of research and its use. Research concerning data analytics emphasizes the centrality of local stakeholders' definitions of problems and of where and how analyses are used, yet academic professions do not always build in incentives for collaboration. Building in validity, and a concern for privacy, surveillance and inequality requires working with multiple communities and analytical strategies. By including ethnographers of scientific practices of and users of data analytics who have tracked how analyses have been used, as well as data scientists who design problems and users of analyses, the workshop will develop a framework for the creation of big data with an emphasis on analysis of ethical issues.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.

大数据分析中心有望解决中心公共政策问题，例如健康差异和访问，减轻自然和人类灾难，在城市环境中有助于社会稳定以及管理和规划野生动植物的栖息地。 嵌入这些问题的是核心道德问题，涉及隐私，不平等，有效性和有意义的使用问题。国家致力于将新的分析技能带入数据的收集和分析的承诺使得对对科学和社会至关重要的道德分析进行了理论和经验驱动的分析。那些开发新的分析工具的人并不总是与使用这些分析工具的人有密切的联系，但协作发展有意义的道德实践。 该研讨会将通过包括数据科学家，地方政府官员，社区利益相关者和社会科学家在内，制定道德大数据实践的协作战略。 将这些各种利益相关者汇集在一起​​将建立研究团队和项目，以有效的方式结合道德和大数据。在研究及其使用的设计中包括各种角度的人，问题是更好的定义，并获得更好的答案。 关于数据分析的研究强调了当地利益相关者对问题的定义以及在何处以及如何使用分析的中心地位，但是学术界并不总是在协作的激励措施中建立。 建立有效性，并关注隐私，监视和不平等，需要与多个社区和分析策略合作。 通过包括传达了如何使用分析的数据分析的科学实践和用户的民族志志，以及设计问题和分析的用户的数据科学家，研讨会将开发一个框架，以创建大数据，重点是对道德问题的分析，这是NSF的法定宣教和范围的范围，这反映了NSF的范围的范围，并构成了宽广的支持。 标准。