YUE Yang, LIU Yu, CHEN Yunsong, HE Li, CHEN Chen, LI Wenwen, QIN Kun, JIA Tao, XU Gang, WANG Fahui, WANG Jingyuan, XIE Xing, XU Fengli, XU Yang, SU Shiliang, GUI Zhipeng, YOU Lan, ZHANG Mingda, ZHANG Feng, ZHANG Xiaoxiang, ZHAO Bo, ZHAO Yaolong, ZHOU Yulun, HUANG Bo, CAO Kai. Integration Path of Spatial and Geo-Computing and Computational Social Science[J]. Geomatics and Information Science of Wuhan University, 2022, 47(1): 1-18. DOI: 10.13203/j.whugis20210619
Citation: YUE Yang, LIU Yu, CHEN Yunsong, HE Li, CHEN Chen, LI Wenwen, QIN Kun, JIA Tao, XU Gang, WANG Fahui, WANG Jingyuan, XIE Xing, XU Fengli, XU Yang, SU Shiliang, GUI Zhipeng, YOU Lan, ZHANG Mingda, ZHANG Feng, ZHANG Xiaoxiang, ZHAO Bo, ZHAO Yaolong, ZHOU Yulun, HUANG Bo, CAO Kai. Integration Path of Spatial and Geo-Computing and Computational Social Science[J]. Geomatics and Information Science of Wuhan University, 2022, 47(1): 1-18. DOI: 10.13203/j.whugis20210619
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Integration Path of Spatial and Geo-Computing and Computational Social Science

    Abstract
  •   Objectives  Geospatial data and computing plays an important role in the era of big data and artificial intelligence(AI), and provides a dimension of social studies in term of ontological, methodological, and epistemologs aspects.
      Methods  This interview invited some influential scholars from the fields of sociology, geo-informatics, computing science and expressed their views on how spatial and geo-computing can be intergrated in computational social science.
      Results  Geospatial studies and social science share a very basic research objective which focuses on heterogeneity, and spatial big data provides an unprecedented paradigm for social studies. Also, challenges were raised on building a therotical framework, data availiablity, computing issues, and related concerns on ethics.
      Conclusions  To solve the challenges, it requires the closer collaboration among social science, geo-science, and computer science. We wish this discussion could inspire the related studies and provide a blueprint for both geospatial and social computing.
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