Cookies?
Library Header Image
LSE Research Online LSE Library Services

Speaking sociologically with big data: symphonic social science and the future for big data research

Halford, Susan and Savage, Mike (2017) Speaking sociologically with big data: symphonic social science and the future for big data research. Sociology, 51 (6). pp. 1132-1148. ISSN 0038-0385

[img]
Preview
Text - Accepted Version
Download (610kB) | Preview

Identification Number: 10.1177/0038038517698639

Abstract

Recent years have seen persistent tension between proponents of big data analytics, using new forms of digital data to make computational and statistical claims about ‘the social’, and many sociologists sceptical about the value of big data, its associated methods and claims to knowledge. We seek to move beyond this, taking inspiration from a mode of argumentation pursued by Piketty, Putnam and Wilkinson and Pickett that we label ‘symphonic social science’. This bears both striking similarities and significant differences to the big data paradigm and – as such – offers the potential to do big data analytics differently. This offers value to those already working with big data – for whom the difficulties of making useful and sustainable claims about the social are increasingly apparent – and to sociologists, offering a mode of practice that might shape big data analytics for the future

Item Type: Article
Official URL: http://journals.sagepub.com/home/soc
Additional Information: © 2017 The Authors
Divisions: Sociology
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HM Sociology
Sets: Departments > Sociology
Date Deposited: 15 Mar 2018 12:31
Last Modified: 20 May 2019 02:33
URI: http://eprints.lse.ac.uk/id/eprint/87236

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics