Urban Data Games: Creating Smart Citizens for Smart Cities

A. Wolff, Gerd Kortuem, J. Cavero
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引用次数: 5

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.
城市数据游戏:为智慧城市创造智慧公民
智慧城市采用自下而上的方法,让市民积极贡献、分析和解释数据,以应对当地的城市挑战,建设一个更可持续的未来城市。这一愿景只有在公民具备足够的数据素养技能和处理大型、复杂、杂乱、不断扩大的数据集的经验的情况下才能实现。学校通常侧重于使用通过科学实验获得的小型、个人收集的数据集来教授数据处理技能,这导致了目前教授的内容与随着大数据和分析变得越来越普遍所需要的内容之间的差距。本文利用城市数据游戏的思想,提出了一种在城市创新任务背景下进行数据素养教学的方法。这些都得到了一组培训数据和资源的支持,这些数据和资源将用于学校试验,以探索人们在处理大数据时遇到的问题,并试验教授数据素养的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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