Developing community-based engagement in Smart Cities: A design-computational thinking approach

Smart Cities development has progressed rapidly with Internet of Things (IoT), ambient intelligence and increasingly, crowdsourcing. Engaging the community thus plays a key role in developing meaningful communal growth along with other stakeholders. This paper briefly presents a pilot study on...

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Main Authors: Lee, Chien Sing *, Wong, Daniel K.
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access:http://eprints.sunway.edu.my/724/1/Lee%20Chien%20Sing%20Developing%20community%20based.pdf
http://eprints.sunway.edu.my/724/
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spelling my.sunway.eprints.7242020-10-12T06:57:41Z http://eprints.sunway.edu.my/724/ Developing community-based engagement in Smart Cities: A design-computational thinking approach Lee, Chien Sing * Wong, Daniel K. HD28 Management. Industrial Management Smart Cities development has progressed rapidly with Internet of Things (IoT), ambient intelligence and increasingly, crowdsourcing. Engaging the community thus plays a key role in developing meaningful communal growth along with other stakeholders. This paper briefly presents a pilot study on developing computational perspectives for community-based engagement and innovations in Smart Cities for the young and thereafter, to explore possibilities of engaging seniors in self and community development, and the young and old in community-based engagement and possibly in the future, the development of viable values-based innovations in information systems. 2017-12-10 Conference or Workshop Item PeerReviewed text en http://eprints.sunway.edu.my/724/1/Lee%20Chien%20Sing%20Developing%20community%20based.pdf Lee, Chien Sing * and Wong, Daniel K. (2017) Developing community-based engagement in Smart Cities: A design-computational thinking approach. In: IEEE International Conference on Industrial Engineering and Engineering Management, 10-13 December 2017, Suntec, Singapore.
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Lee, Chien Sing *
Wong, Daniel K.
Developing community-based engagement in Smart Cities: A design-computational thinking approach
description Smart Cities development has progressed rapidly with Internet of Things (IoT), ambient intelligence and increasingly, crowdsourcing. Engaging the community thus plays a key role in developing meaningful communal growth along with other stakeholders. This paper briefly presents a pilot study on developing computational perspectives for community-based engagement and innovations in Smart Cities for the young and thereafter, to explore possibilities of engaging seniors in self and community development, and the young and old in community-based engagement and possibly in the future, the development of viable values-based innovations in information systems.
format Conference or Workshop Item
author Lee, Chien Sing *
Wong, Daniel K.
author_facet Lee, Chien Sing *
Wong, Daniel K.
author_sort Lee, Chien Sing *
title Developing community-based engagement in Smart Cities: A design-computational thinking approach
title_short Developing community-based engagement in Smart Cities: A design-computational thinking approach
title_full Developing community-based engagement in Smart Cities: A design-computational thinking approach
title_fullStr Developing community-based engagement in Smart Cities: A design-computational thinking approach
title_full_unstemmed Developing community-based engagement in Smart Cities: A design-computational thinking approach
title_sort developing community-based engagement in smart cities: a design-computational thinking approach
publishDate 2017
url http://eprints.sunway.edu.my/724/1/Lee%20Chien%20Sing%20Developing%20community%20based.pdf
http://eprints.sunway.edu.my/724/
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