Curriculum design for urban informatics

被引：0
|
作者：
Yue Y. [1 ,2 ,3 ]
Li Q. [2 ,3 ]
Guo R. [1 ,2 ,4 ]
机构：
[1] School of Architecture and Urban Planning, Shenzhen University, Shenzhen, 518060, Guangdong
[2] Guangdong Key Laboratory of Urban Informatics, Shenzhen, 518060, Guangdong
[3] Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen, 518060, Guangdong
[4] Research Institute for Smart Cities, Shenzhen University, Shenzhen, 518060, Guangdong
来源：
| 1790年 / Science Press卷 / 75期
基金：
中国国家自然科学基金;
关键词：
Convergence Research; Education reform; Geomatics; New urban science; Urban informatics;
D O I：
10.11821/dlxb202008016
中图分类号：
学科分类号：
摘要：
GIScience is facing challenges in defining its discipline-specific knowledge and skills due to the rapid development of computer science. Meanwhile, the research paradigm of urban studies is shifting to more quantitative approaches with the emerging big data and various analytics tools. Based on the development pathways of GIScience, we argued that one direction of the future GIS is urban informatics by taking the advantage of spatial modelling and analysis technologies. The transformation from GIS/Geomatics to urban informatics requires transdisciplinary knowledge, methods, and tools to form a new teaching and research framework. An undergraduate curriculum for urban informatics is proposed in this paper based on the notion of transdisciplinary cooperation among GIS, computer science and urban studies, to foster system thinking, spatial thinking and computational thinking in urban informatics teaching. Researchers and educators from urban studies, geography, geomatics and GIS should work together to promote the development of this emerging discipline, so as to achieve more significant scientific discovery and innovations. © 2020, Science Press. All right reserved.
引用
收藏
页码：1790 / 1796
页数：6
相关论文
共 24 条
  • [1] Arbesman Samule, Jia Yongmin, (2019)
  • [2] Chalmers Alan F., Lu Xudong, (2018)
  • [3] Long Ying, (New) Urban Science: Studying 'new' cities with new data, methods, and technologies, Landscape Architecture Frontiers, 7, 2, pp. 8-21, (2019)
  • [4] MIT faculty approves new urban science major, (2018)
  • [5] Convergence research at NSF
  • [6] Xiao Xiaoxi, Chen Jie, Xu Fang, Et al., A pilot implementation and analysis on evaluation framework for convergence research: Based on the case of Chinese Academy of Sciences, Science of Science and Management of S.&T, 40, 3, pp. 18-30, (2019)
  • [7] Foth M, Choi J, Satchell C., Urban informatics, Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, CSCW, pp. 1-8, (2011)
  • [8] Lazer D, Pentland A, Adamic L, Et al., Computational social science, Science, 323, 1, pp. 721-723, (2009)
  • [9] Zhu Jieming, The core competence of urban planning major: Dogmatism or practicalism Urban and Rural Planning, 2020, 2, pp. 87-92
  • [10] Li Qingquan, Li Deren, Big data GIS, Geomatics and Information Science of Wuhan University, 39, 6, pp. 641-644, (2014)
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