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Kitchin, Rob (2017) Urban Science: A Short Primer: The Programmable City Working Paper 23. Working Paper. The Programmable City Working Paper.
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Official URL: https://osf.io/preprints/socarxiv/sdsu2
Abstract
This paper provides a short introductory overview of urban science. It defines urban science, details its practioners and their aims, sets out its relationship to urban informatics and urban studies, and explains its epistemology and the analysis of urban big data. It then summarizes criticism of urban science with respect to epistemology, instrumental rationality, data issues, and ethics. It is concluded that urban science research will continue to grow for the foreseeable future, providing a valuable means of making sense of cities, but that it is unlikely it will become a new paradigm, producing an integrative approach that replaces the diverse philosophical traditions within urban studies.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Additional Information: | This paper is an extended version of an essay to be published in Smith, R.G. (ed) The Companion to Urban Studies. Routledge, London. Published as an open access pre-print on SocArXiv: https://osf.io/preprints/socarxiv/sdsu2. The research for this paper was funded by an ERC Advanced Investigator award (ERC-2012-AdG 323636-SOFTCITY) and a Science Foundation Ireland grant, Building City Dashboards (15/IA/3090). The paper in part draws on Kitchin (2016). Thanks to Claudio Coletta, Paolo Cardullo, Liam Heaphy, and Sung-Yueh Perng for comments on the initial draft. Published under a CC0 1.0 Universal License. |
| Keywords: | urban science; urban informatics; urban analytics; urban studies; urban big data; epistemology; critique; |
| Academic Unit: | Faculty of Social Sciences > Research Institutes > National Institute for Regional and Spatial analysis, NIRSA |
| Item ID: | 9231 |
| Identification Number: | 10.17605/OSF.IO/SDSU2 |
| Depositing User: | Prof. Rob Kitchin |
| Date Deposited: | 07 Feb 2018 16:40 |
| Publisher: | The Programmable City Working Paper |
| Funders: | European Research Council Advanced Investigator Award, Science Foundation Ireland (SFI) |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/9231 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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