Workshop: Advancing ethics for trustworthy cyberspace and data analytics

大数据分析中心有望解决核心公共政策问题，如健康差距和获取、减轻自然和人为灾害、促进城市环境中的社会稳定，以及管理和规划野生动物栖息地。这些问题的核心伦理问题涉及隐私、不平等、有效性和有意义的使用等问题。国家承诺为数据的收集和分析带来新的分析技能，这使得理论和经验驱动的伦理分析对科学和社会至关重要。那些开发新分析工具的人并不总是与使用这些工具的人密切相关，但合作开发了有意义的道德实践。本次研讨会将由数据科学家、地方政府官员、社区利益相关者和社会科学家共同制定道德大数据实践的合作战略。将这些不同的利益相关者聚集在一起，将建立研究团队和项目，以富有成效的方式将伦理和大数据结合起来。当从不同角度的人参与研究的设计和使用时，问题会得到更好的定义和更好的答案。有关数据分析的研究强调了当地利益相关者对问题的定义的中心地位，以及在哪里和如何使用分析，然而学术专业并不总是建立合作的激励机制。建立有效性以及对隐私、监控和不平等的关注需要与多个社区合作并制定分析策略。通过邀请研究科学实践的人种学家和数据分析的用户（他们跟踪分析是如何被使用的），以及设计问题的数据科学家和分析的用户，研讨会将为创建大数据制定一个框架，重点是对伦理问题的分析。

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.