Topological genealogy : A methodology to research transnational digital governance in/through/as change

Journal article

Decuypere, Mathias and Lewis, Steven. (2023). Topological genealogy : A methodology to research transnational digital governance in/through/as change. Journal of Education Policy. 38(1), pp. 23-45. https://doi.org/10.1080/02680939.2021.1995629
AuthorsDecuypere, Mathias and Lewis, Steven
Abstract

This article presents topological genealogy (TG) as a methodology to research transnational digital governance, and particularly how digital infrastructures are implicated in enacting such forms of governance. Inspired by the field of social topology, TG is centrally interested in investigating the conjoined production of digital infrastructures and present-day education policymaking as governance; as well as how both produce, and are produced by, processes of flows and change. Notably, the TG methodology helps to disentangle digital governance in, through and as change. Through a worked example of the European Commission’s eTwinning platform, the article shows TG in action, and complements the topological analysis with methodological foregroundings. These show how the methodology impacts as much the fabrication of research data and its subsequent analysis as it impacts the doings of the researcher.

Keywordstopology; digital governance; digital infrastructures; digital platforms; transnationalism; europeanization; etwinning
Year2023
JournalJournal of Education Policy
Journal citation38 (1), pp. 23-45
PublisherRoutledge
ISSN1464-5106
Digital Object Identifier (DOI)https://doi.org/10.1080/02680939.2021.1995629
Scopus EID2-s2.0-85119407457
Open accessPublished as ‘gold’ (paid) open access
Page range23-45
FunderAustralian Research Council (ARC)
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Online15 Nov 2021
Publication process dates
Accepted15 Oct 2021
Deposited05 Jan 2022
ARC Funded ResearchThis output has been funded, wholly or partially, under the Australian Research Council Act 2001
Grant IDDE190101141
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