The Open UniversitySkip to content
 

Removing barriers for citizen participation to urban innovation

Wolff, Annika; Gooch, Daniel; Mir, Umar; Cavero, Jose and Kortuem, Gerd (2015). Removing barriers for citizen participation to urban innovation. In: Digital Cities 9, 27 June 2015, Limerick.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (357kB) | Preview
Google Scholar: Look up in Google Scholar

Abstract

The potential of open data as a resource for driving citizen-led urban innovation relies not only on a suitable technical infrastructure but also on the skills and knowledge of the citizens themselves. This paper describes how a smart city project in Milton Keynes, UK, is supporting multiple stages of citizen innovation, from ideation through to citizen-led smart city projects. This approach encounters challenges when engaging with citizens in identifying and implementing data-driven solutions to urban problems. The majority of citizens have little practical experience with the types of data sets that might be available, nor possess the appropriate skills for their analysis and utilisation for addressing urban issues, or finding novel ways to hack their city. We go on to describe the Urban Data School, which aims to offer a long-term solution to this problem by providing teaching resources around urban data sets aimed at raising the standard of data literacy amongst future generations. Lesson resources that form part of the Urban Data School have been piloted in a primary and two secondary schools in Milton Keynes.

Item Type: Conference or Workshop Item
Copyright Holders: 2015 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
MK:SMART, an integrated innovation and training programme leveraging large-scale city data to drive economic growth (Q-13-037-EM)H04HEFCE
Keywords: big data; data literacy; smart cities
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Related URLs:
Item ID: 43854
Depositing User: Annika Wolff
Date Deposited: 11 Aug 2015 08:57
Last Modified: 05 Sep 2017 05:29
URI: http://oro.open.ac.uk/id/eprint/43854
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk