Workshop: Social Facets of Data Science

该项目将资助一个关于使用历史、哲学和社会科学方法的数据科学的社会方面的研讨会。它将于2016年秋季在加州理工学院举行。研讨会将汇集数据科学的历史学家、哲学家、人类学家和社会学家。他们将共同为数据科学设计一个科学和技术研究议程。将邀请从事数据科学的社会、历史和伦理研究的教师和学生参加。该研讨会将有助于数据科学知识的进步。它将进一步理解数据科学的社会和文化方面。它将专业化和培养学生。研讨会的出版物将增加社会？通过讨论数据科学的方式、内容、人员、地点和原因来理解数据科学。研讨会将建立一个多学科、多代、多机构的数据科学与技术研究（STS）研究议程。它旨在成为一个议程制定研讨会，由专家和公众共同参与，以制定研究战略和议程。研讨会将重点讨论数据科学的沟通模式、工具、工作风格、分析习惯、标准、可视化策略和职业道德。报告将通过使用历史、哲学和社会科学方法来记录数据科学研究文化的新兴社会方面。该研讨会将为STS提供一个机会，将其方法应用于一个新的科学专业，并为STS提供一个机会，使其在专业化进程中成为一个关键的利益相关者。该研讨会将增加文档和数据科学的理解超越技术专业。

The project will fund a workshop on the social aspects of data science using historical, philosophical, and social scientific methods. It will be held at Cal Poly in the fall of 2016. The workshop will bring together historians, philosophers, anthropologists, and sociologists of data science. They will work together to design a science and technology studies research agenda for data science. Faculty and students engaged in social, historical and ethical studies of data science will be invited to participate. The workshop will contribute to the advancement of knowledge about data science. It will further understanding of social and cultural aspects of data science. It will professionalize and train students. The workshop's publications will increase society?s understanding of data science by discussing the how, what, who, where and why of data science.The workshop will establish of a multi-disciplinary, multi-generational, and multi-institutional science and technology studies (STS) research agenda on data science. It is designed to be an agenda-setting workshop involving both experts and the general public to produce a research strategy and agenda. The workshop will focus on data science's communication patterns, tools, styles of work, analytical habits, standards, visual strategies, and professional ethics. Presentations will document the emerging social facets of data science research cultures by using historical, philosophical, and social scientific methods. The workshop will offer an opportunity for STS to apply its methods to a new scientific profession and provide STS with a chance to situate itself as a key stakeholder in the professionalization process. The workshop will increase the documentation and understanding of data science beyond the technical profession.