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空间和地理计算与计算社会学的融合路径
引用本文:乐阳,刘瑜,陈云松,贺力,陈晨,李文雯,秦昆,贾涛,许刚,王法辉,王静远,谢幸,徐丰力,徐阳,苏世亮,桂志鹏,游兰,张明达,张丰,张晓祥,赵博,赵耀龙,周钰伦,黄波,曹凯. 空间和地理计算与计算社会学的融合路径[J]. 武汉大学学报(信息科学版), 2022, 47(1): 1-18. DOI: 10.13203/j.whugis20210619
作者姓名:乐阳  刘瑜  陈云松  贺力  陈晨  李文雯  秦昆  贾涛  许刚  王法辉  王静远  谢幸  徐丰力  徐阳  苏世亮  桂志鹏  游兰  张明达  张丰  张晓祥  赵博  赵耀龙  周钰伦  黄波  曹凯
作者单位:1.深圳大学建筑与城市规划学院,广东 深圳,518060
基金项目:国家自然科学基金42171449国家自然科学基金42001390
摘    要:空间和地理数据及空间计算是大数据和人工智能(artificial intelligence,AI)研究的一个主要组成领域,也为社会科学从本体论、方法论和认识论层面提供了一个进行定量和定性研究的重要维度.但是空间如何与计算社会科学结合仍处于探索阶段.通过邀请实证社会研究、地理信息科学、计算机科学等多个领域在计算社会学方向...

关 键 词:空间计算  空间社会计算  计算社会学  社会计算  社会地理计算
收稿时间:2021-11-08

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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