Urban data games: Creating smart citizens for smart cities

Annika Wolff; Gerd Kortuem; Jose Cavero

doi:10.1109/ICALT.2015.44

Urban data games: Creating smart citizens for smart cities

Annika Wolff, Gerd Kortuem, Jose Cavero

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

11 Citations (Scopus)

Abstract

A bottom-up approach to smart cities places citizens in an active role of contributing, analysing and interpreting data in pursuit of tackling local urban challenges and building a more sustainable future city. This vision can only be realised if citizens have sufficient data literacy skills and experience of large, complex, messy, ever expanding data sets. Schools typically focus on teaching data handling skills using small, personally collected data sets obtained through scientific experimentation, leading to a gap between what is being taught and what will be needed as big data and analytics become more prevalent. This paper proposes an approach to teaching data literacy in the context of urban innovation tasks, using an idea of Urban Data Games. These are supported by a set of training data and resources that will be used in school trials for exploring the problems people have when dealing with large data and trialling novel approaches for teaching data literacy.

Original language	English
Title of host publication	Proceedings - IEEE 15th International Conference on Advanced Learning Technologies
Subtitle of host publication	Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015
Editors	Nian-Shing Chen, Tzu-Chien Liu, Kinshuk, Ronghuai Huang, Gwo-Jen Hwang, Demetrios G. Sampson, Chin-Chung Tsai
Publisher	IEEE
Pages	164-165
Number of pages	2
ISBN (Electronic)	9781467373333
DOIs	https://doi.org/10.1109/ICALT.2015.44
Publication status	Published - 14 Sept 2015
Externally published	Yes
Event	15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015 - Hualien, Taiwan Duration: 6 Jul 2015 → 9 Jul 2015

Conference

Conference	15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015
Country/Territory	Taiwan
City	Hualien
Period	6/07/15 → 9/07/15

Keywords

Data literacy
Smart city
Sustainability
Urban data
Urban innovation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICALT.2015.44

Cite this

Wolff, A., Kortuem, G., & Cavero, J. (2015). Urban data games: Creating smart citizens for smart cities. In N.-S. Chen, T.-C. Liu, Kinshuk, R. Huang, G.-J. Hwang, D. G. Sampson, & C.-C. Tsai (Eds.), Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015 (pp. 164-165). Article 7265294 IEEE. https://doi.org/10.1109/ICALT.2015.44

Wolff, Annika ; Kortuem, Gerd ; Cavero, Jose. / Urban data games : Creating smart citizens for smart cities. Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015. editor / Nian-Shing Chen ; Tzu-Chien Liu ; Kinshuk ; Ronghuai Huang ; Gwo-Jen Hwang ; Demetrios G. Sampson ; Chin-Chung Tsai. IEEE, 2015. pp. 164-165

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abstract = "A bottom-up approach to smart cities places citizens in an active role of contributing, analysing and interpreting data in pursuit of tackling local urban challenges and building a more sustainable future city. This vision can only be realised if citizens have sufficient data literacy skills and experience of large, complex, messy, ever expanding data sets. Schools typically focus on teaching data handling skills using small, personally collected data sets obtained through scientific experimentation, leading to a gap between what is being taught and what will be needed as big data and analytics become more prevalent. This paper proposes an approach to teaching data literacy in the context of urban innovation tasks, using an idea of Urban Data Games. These are supported by a set of training data and resources that will be used in school trials for exploring the problems people have when dealing with large data and trialling novel approaches for teaching data literacy.",

keywords = "Data literacy, Smart city, Sustainability, Urban data, Urban innovation",

author = "Annika Wolff and Gerd Kortuem and Jose Cavero",

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doi = "10.1109/ICALT.2015.44",

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booktitle = "Proceedings - IEEE 15th International Conference on Advanced Learning Technologies",

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note = "15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015 ; Conference date: 06-07-2015 Through 09-07-2015",

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Wolff, A, Kortuem, G & Cavero, J 2015, Urban data games: Creating smart citizens for smart cities. in N-S Chen, T-C Liu, Kinshuk, R Huang, G-J Hwang, DG Sampson & C-C Tsai (eds), Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015., 7265294, IEEE, pp. 164-165, 15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015, Hualien, Taiwan, 6/07/15. https://doi.org/10.1109/ICALT.2015.44

Urban data games: Creating smart citizens for smart cities. / Wolff, Annika; Kortuem, Gerd; Cavero, Jose.
Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015. ed. / Nian-Shing Chen; Tzu-Chien Liu; Kinshuk; Ronghuai Huang; Gwo-Jen Hwang; Demetrios G. Sampson; Chin-Chung Tsai. IEEE, 2015. p. 164-165 7265294.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T2 - 15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015

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AU - Cavero, Jose

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N2 - A bottom-up approach to smart cities places citizens in an active role of contributing, analysing and interpreting data in pursuit of tackling local urban challenges and building a more sustainable future city. This vision can only be realised if citizens have sufficient data literacy skills and experience of large, complex, messy, ever expanding data sets. Schools typically focus on teaching data handling skills using small, personally collected data sets obtained through scientific experimentation, leading to a gap between what is being taught and what will be needed as big data and analytics become more prevalent. This paper proposes an approach to teaching data literacy in the context of urban innovation tasks, using an idea of Urban Data Games. These are supported by a set of training data and resources that will be used in school trials for exploring the problems people have when dealing with large data and trialling novel approaches for teaching data literacy.

AB - A bottom-up approach to smart cities places citizens in an active role of contributing, analysing and interpreting data in pursuit of tackling local urban challenges and building a more sustainable future city. This vision can only be realised if citizens have sufficient data literacy skills and experience of large, complex, messy, ever expanding data sets. Schools typically focus on teaching data handling skills using small, personally collected data sets obtained through scientific experimentation, leading to a gap between what is being taught and what will be needed as big data and analytics become more prevalent. This paper proposes an approach to teaching data literacy in the context of urban innovation tasks, using an idea of Urban Data Games. These are supported by a set of training data and resources that will be used in school trials for exploring the problems people have when dealing with large data and trialling novel approaches for teaching data literacy.

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A2 - Chen, Nian-Shing

A2 - Liu, Tzu-Chien

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A2 - Huang, Ronghuai

A2 - Hwang, Gwo-Jen

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A2 - Tsai, Chin-Chung

PB - IEEE

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ER -

Wolff A, Kortuem G, Cavero J. Urban data games: Creating smart citizens for smart cities. In Chen NS, Liu TC, Kinshuk, Huang R, Hwang GJ, Sampson DG, Tsai CC, editors, Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015. IEEE. 2015. p. 164-165. 7265294 doi: 10.1109/ICALT.2015.44

Urban data games: Creating smart citizens for smart cities

Abstract

Conference

Keywords

UN SDGs

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