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University of Greenwich

Digital black boxes: apprehending fast and dynamic sociotechnical networks

Abstract

dc:description.abstract

We live in a world now dominated by complex and fast moving sociotechnical systems. This work considers the difficulties presented in even discussing such systems in an intelligible manner, especially given that many escape the immediate capabilities of human cognition to properly apprehend. Numerous means have in recent history been used to ‘fix’ or ‘stabilise’ the meanings and capabilities of such systems through one form of ‘Black Box’ or other. This work argues that our current conceptual resources are not appropriate to the task and explores ways in which both academics and practitioners can effectively and usefully apprehend such fast moving sociotechnical systems. It draws in particular on the work of Bruno Latour and Paul Thagard, combining their notions of ‘Circulating Reference’ and ‘Computational Coherence’ respectively, to propose more dynamic approaches and methodologies situated in kind of Computationalism that can be adapted to enable complex computing and digital networked events and the dynamic sociotechnical networks that underpin them to be talked about, and thereby known in ways that both express and encompass their dynamism and complexity and without inappropriately and prematurely placing them into ‘Black Boxes’.

Degree

thesis:*
Name dc:type.qualificationname
phd
Level dc:type.qualificationlevel
doctoral
Grantor dc:publisher.institution
University of Greenwich
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Weston, Danny Lee
Advisors dc:contributor.advisor
  • Golding, Sue
  • Sigthorsson, Gauti

Subjects

dc:subject × 1

Rights

Language dc:language
en

Chain of custody

source
Harvested from
University of Greenwich
Base URL
gala.gre.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Weston, Danny Lee. Digital black boxes: apprehending fast and dynamic sociotechnical networks. doctoral thesis, University of Greenwich, 2016.