Reimagining the Big Data assemblage. Issue 2 (December 2018)

• Record Type: Journal Article
• Authors: Carter, Daniel
• Is Part Of: Big data & society. Volume 5:Issue 2(2018)
• Publication Date: 2018-12
• Subjects: Big Data -- methodology -- new materialism -- actor-network theory; Big data -- Social aspects -- Periodicals; Social sciences -- Research -- Data processing -- Periodicals; Social sciences -- Research -- Methodology -- Periodicals; Data mining -- Periodicals; 300.28557
• DOI: 10.1177/2053951718818194
• Languages: English
• ISSNs: 2053-9517

Abstract

Recent work on Big Data and analytics reveals a tension between analyzing the role of emerging objects and processes in existing systems and using those same objects and processes to create new and purposeful forms of action. While the field of science and technology studies has had considerable success in pursuing the former goal, as Halford and Savage argue, there is an ongoing need to discover or invent ways to "do Big Data analytics differently." In this commentary, I suggest that attempts to produce new ways of working with Big Data and analytics might be hindered by how science and technology studies-influenced scholars have conceptualized assemblages. While these scholars have foregrounded objects' relations within existing assemblages, new materialist philosophers draw attention to properties of objects that transcend those relations and might indicate opportunities for more creative or generative uses of Big Data and analytics.