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Beyond quantification: a role for citizen science and community science in a smart city

Haklay, ME; (2015) Beyond quantification: a role for citizen science and community science in a smart city. Presented at: Data and City Workshop, Maynooth University. Green open access

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Abstract

When approaching the issue of data in Smart Cities, there is a need to question the underlying assumptions at the basis of Smart Cities discourse and, especially, to challenge the prevailing thought that efficiency, costs and productivity are the most important values. We need to ensure that human and environmental values are taken into account in the design and implementation of systems that will influence the way cities operate and are governed. While we can accept science as the least worst method of accumulating human knowledge about the natural world, and appreciate its power to explain and act in the world, we need to consider how it is applied within the city in a way that does leave space for cultural, environmental and religious values. This paper argues that a specific form of collaborative science – citizen science and community science – is especially suitable for making Smart Cities meaningful and democratic.

Type: Conference item (UNSPECIFIED)
Title: Beyond quantification: a role for citizen science and community science in a smart city
Event: Data and City Workshop
Location: Maynooth University
Dates: 31 August 2015 - 01 August 2015
Open access status: An open access version is available from UCL Discovery
Language: English
Keywords: Citizen Science, Smart Cities, big data
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of SandHS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/1470344
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