STS, Meet Data Science, Once Again
STS, Meet Data Science, Once Again
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DOI：
10.1177/0162243918798899
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发表时间：
2019-05-01
影响因子：
3.1
通讯作者：
Ribes, David
中科院分区：
文献类型：
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作者：
Ribes, David
科学技术研究（STS）和数据科学的新兴领域有着惊人的选修关系。在这些领域日益增长的交叉点上，STS学者将面临许多机会和不少棘手的困难。首先，我讨论了这两个领域如何将数据科学的推出同时视为社会和技术奋进，即使是以不同的方式和不同的目的。其次，我讨论了当代计算机，信息和数据科学界的域逻辑。虽然STS通常对科学之间的边界或与行业和国家之间的边界不可知-偶尔将这些边界作为研究对象-但数据科学将这些边界作为其克服的目标。这两个选择性的亲和性STS的分析和实践的挑战，但也参与的机会。总的来说，除了这些典型化，我敦促STS学者战略定位自己调查和促进变革的广度，寻求触及几乎每一个科学和新的约束学术界，工业界和国家领域。
Science and technology studies (STS) and the emerging field of data science share surprising elective affinities. At the growing intersections of these fields, there will be many opportunities and not a few thorny difficulties for STS scholars. First, I discuss how both fields frame the rollout of data science as a simultaneously social and technical endeavor, even if in distinct ways and for diverging purposes. Second, I discuss the logic of domains in contemporary computer, information, and data science circles. While STS is often agnostic about the borders between the sciences or with industry and state-occasionally taking those boundaries as an object of study-data science takes those boundaries as its target to overcome. These two elective affinities present analytic and practical challenges for STS but also opportunities for engagement. Overall, in addition to these typifications, I urge STS scholars to strategically position themselves to investigate and contribute to the breadth of transformations that seek to touch virtually every science and newly bind spheres of academy, industry, and state.