Workshop: Advancing ethics for trustworthy cyberspace and data analytics

大数据分析中心有望解决中央公共政策问题，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。 嵌入在这些问题中的是核心的伦理问题，涉及隐私，不平等，有效性和有意义的使用。国家致力于将新的分析技能引入数据收集和分析，这使得理论和经验驱动的道德分析对科学和社会至关重要。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，但合作可以发展有意义的道德实践。 本次研讨会将制定一个合作战略，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的道德大数据实践。 将这些不同的利益相关者聚集在一起，将建立联合收割机以富有成效的方式将伦理和大数据结合起来的研究团队和项目。当来自不同观点的人参与研究设计及其使用时，问题将得到更好的界定，并获得更好的答案。 有关数据分析的研究强调，当地利益攸关方对问题的定义以及在何处和如何使用分析的中心地位，但学术界并不总是建立合作激励机制。 建立有效性，以及对隐私，监视和不平等的关注，需要与多个社区和分析战略合作。 通过包括跟踪分析如何使用的科学实践和数据分析用户的民族志学家，以及设计问题和分析用户的数据科学家，该研讨会将为创建大数据制定一个框架，重点是分析伦理问题。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识产权进行评估来支持。优点和更广泛的影响审查标准。

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.