Diagramming social practice theory: An interdisciplinary experiment exploring practices as networks

Higginson, Sarah, McKenna, Eoghan, Hargreaves, Tom ORCID: https://orcid.org/0000-0002-3764-7364, Chilvers, Jason ORCID: https://orcid.org/0000-0001-9238-1653 and Thomson, Murray (2015) Diagramming social practice theory: An interdisciplinary experiment exploring practices as networks. Indoor and Built Environment, 24 (7). pp. 950-969. ISSN 1420-326X

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Abstract

Achieving a transition to a low-carbon energy system is now widely recognised as a key challenge facing humanity. To date, the vast majority of research addressing this challenge has been conducted within the disciplines of science, engineering and economics utilising quantitative and modelling techniques. However, there is growing awareness that meeting energy challenges requires fundamentally socio-technical solutions and that the social sciences have an important role to play. This is an interdisciplinary challenge but, to date, there remain very few explorations of, or reflections on, interdisciplinary energy research in practice. This paper seeks to change that by reporting on an interdisciplinary experiment to build new models of energy demand on the basis of cutting-edge social science understandings. The process encouraged the social scientists to communicate their ideas more simply, whilst allowing engineers to think critically about the embedded assumptions in their models in relation to society and social change. To do this, the paper uses a particular set of theoretical approaches to energy use behaviour known collectively as social practice theory (SPT) - and explores the potential of more quantitative forms of network analysis to provide a formal framework by means of which to diagram and visualize practices. The aim of this is to gain insight into the relationships between the elements of a practice, so increasing the ultimate understanding of how practices operate. Graphs of practice networks are populated based on new empirical data drawn from a survey of different types (or variants) of laundry practice. The resulting practice networks are analysed to reveal characteristics of elements and variants of practice, such as which elements could be considered core to the practice, or how elements between variants overlap, or can be shared. This promises insights into energy intensity, flexibility and the rootedness of practices (i.e. how entrenched/ established they are) and so opens up new questions and possibilities for intervention. The novelty of this approach is that it allows practice data to be represented graphically using a quantitative format without being overly reductive. Its usefulness is that it is readily applied to large datasets, provides the capacity to interpret social practices in new ways, and serves to open up potential links with energy modeling. More broadly, a significant dimension of novelty has been the interdisciplinary approach, radically different to that normally seen in energy research. This paper is relevant to a broad audience of social scientists and engineers interested in integrating social practices with energy engineering.

Item Type: Article
Uncontrolled Keywords: social practice theory,network theory,geometry of practice,variant of practice,interdisciplinary,energy,demand management,flexible demand
Faculty \ School: Faculty of Science > School of Environmental Sciences
University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups: Faculty of Science > Research Centres > Centre for Social and Economic Research on the Global Environment (CSERGE)
Faculty of Science > Research Groups > Science, Society and Sustainability
Faculty of Science > Research Groups > Resources, Sustainability and Governance (former - to 2018)
Faculty of Science > Research Groups > Climate, Ocean and Atmospheric Sciences (former - to 2017)
Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Faculty of Science > Research Groups > Environmental Social Sciences
Depositing User: Pure Connector
Date Deposited: 23 Oct 2015 10:00
Last Modified: 20 Mar 2023 10:41
URI: https://ueaeprints.uea.ac.uk/id/eprint/54794
DOI: 10.1177/1420326X15603439

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