Halford, Susan and Savage, Mike 
ORCID: 0000-0003-4563-9564
(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
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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 |
| Date Deposited: | 15 Mar 2018 12:31 |
| Last Modified: | 29 Oct 2024 11:03 |
| URI: | http://eprints.lse.ac.uk/id/eprint/87236 |
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