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Disentangling the temporalities of digital and predictive governance : Rhythmanalysis as a methodological framework
Hartong, Sigrid Decuypere, Mathias Lewis, Steven
Hartong, Sigrid
Decuypere, Mathias
Lewis, Steven
Abstract
This paper discusses and develops rhythmanalysis as a methodological approach to disentangle the temporalities of digital and predictive governance; that is, how governance evolves through temporal ordering effects produced with, and through, digital technologies. Whilst rhythmanalysis, as it has become broadly used in the social sciences over the past decades, primarily focuses on ‘lived’ (rhythmic) practices of people, we argue that rhythmanalysis can also be developed as a framework to investigate the temporalities of digital governance environments. Using the field of education and, more specifically, the case of Early Warning Systems in US schooling as a worked example, we show how such a framework allows one to approach temporalities through, first, identifying chronorhythms (defined by chronological time), kairorhythms (defined by identifying and intervening in ‘right’ moments in time) and algorhythms (defined by the design of a technology). The second dimension is to analyze relations between those rhythms; more notably, synchronization (i.e., the coordination of rhythms in time), sychorization (i.e., the coordination of rhythms in space) and disruption (i.e., the altering or coming to a stop of particular rhythms). Finally, the framework includes visualization as a third dimension of rhythmic analysis, specifically through practices of selecting, drawing and world-making. Overall, this framework can inspire scholars interested in empirically disentangling temporal and predictive governance, within and beyond the field of education.
Keywords
digital governance, education, rhythmanalysis, Early Warning Systems, predictive governance, schooling, chronorhythms, kairorhythms, algorhythms, visualization
Date
2024
Type
Journal article
Journal
Time & Society
Book
Volume
Issue
Page Range
1-24
Article Number
ACU Department
Research Office
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY-NC 4.0
File Access
Open
Notes
© The Author(s) 2024.
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).