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Citizen science and environmental justice: exploring contradictory outcomes through a case study of air quality monitoring in Dublin
Date Issued
2022-04-26
Date Available
2025-02-18T17:09:06Z
Embargo end date
2023-07-15
Abstract
Citizen science is advocated as a response to a broad range of contemporary societal and ecological challenges. However, there are widely varying models of citizen science which may either challenge or reinforce existing knowledge paradigms and associated power dynamics. This paper explores different approaches to citizen science in the context of air quality monitoring in terms of their implications for environmental justice. This is achieved through a case study of air quality management in Dublin which focuses on the role of citizen science in this context. The evidence shows that the dominant interpretation of citizen science in Dublin is that it provides a means to promote awareness and behaviour change rather than to generate knowledge and inform new regulations or policies. This is linked to an overall context of technocratic governance and the exclusion of non-experts from decision-making. It is further closely linked to neoliberal governance imperatives to individualise responsibility and promote market-based solutions to environmental challenges. Last, the evidence highlights that this model of citizen science risks compounding inequalities by transferring responsibility and blame for air pollution to those who have limited resources to address it. Overall, the paper highlights the need for critical analysis of the implications of citizen science in different instances and for alternative models of citizen science whereby communities would contribute to setting objectives and determining how their data is used.
Sponsorship
European Commission Horizon 2020
Type of Material
Journal Article
Publisher
Taylor and Francis
Journal
Local Environment
Volume
27
Issue
5
Start Page
622
End Page
638
Copyright (Published Version)
2022 Informa UK
Language
English
Status of Item
Peer reviewed
ISSN
1354-9839
This item is made available under a Creative Commons License
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pre-proof version of paper.pdf
Size
653.55 KB
Format
Adobe PDF
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d6b9b523235bd0644799951aae4b84d0
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