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Article: Integration Path of Spatial and Geo‑Computing and Computational Social Science

TitleIntegration Path of Spatial and Geo‑Computing and Computational Social Science
Authors
KeywordsComputational social science
Geo⁃social computing
Social computing
Spatial computing
Spatial⁃social computing
Issue Date2022
Citation
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2022, v. 47, n. 1, p. 1-18 How to Cite?
AbstractObjectives: 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.
Persistent Identifierhttp://hdl.handle.net/10722/329767
ISSN
2023 SCImago Journal Rankings: 0.386

 

DC FieldValueLanguage
dc.contributor.authorYue, Yang-
dc.contributor.authorLiu, Yu-
dc.contributor.authorChen, Yunsong-
dc.contributor.authorHe, Li-
dc.contributor.authorChen, Chen-
dc.contributor.authorLi, Wenwen-
dc.contributor.authorQin, Kun-
dc.contributor.authorJia, Tao-
dc.contributor.authorXu, Gang-
dc.contributor.authorWang, Fahui-
dc.contributor.authorWang, Jingyuan-
dc.contributor.authorXie, Xing-
dc.contributor.authorXu, Fengli-
dc.contributor.authorXu, Yang-
dc.contributor.authorSu, Shiliang-
dc.contributor.authorGui, Zhipeng-
dc.contributor.authorYou, Lan-
dc.contributor.authorZhang, Mingda-
dc.contributor.authorZhang, Feng-
dc.contributor.authorZhang, Xiaoxiang-
dc.contributor.authorZhao, Bo-
dc.contributor.authorZhao, Yaolong-
dc.contributor.authorZhou, Yulun-
dc.contributor.authorHuang, Bo-
dc.contributor.authorCao, Kai-
dc.date.accessioned2023-08-09T03:35:11Z-
dc.date.available2023-08-09T03:35:11Z-
dc.date.issued2022-
dc.identifier.citationWuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2022, v. 47, n. 1, p. 1-18-
dc.identifier.issn1671-8860-
dc.identifier.urihttp://hdl.handle.net/10722/329767-
dc.description.abstractObjectives: 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.-
dc.languageeng-
dc.relation.ispartofWuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University-
dc.subjectComputational social science-
dc.subjectGeo⁃social computing-
dc.subjectSocial computing-
dc.subjectSpatial computing-
dc.subjectSpatial⁃social computing-
dc.titleIntegration Path of Spatial and Geo‑Computing and Computational Social Science-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.13203/j.whugis20210619-
dc.identifier.scopuseid_2-s2.0-85122917838-
dc.identifier.volume47-
dc.identifier.issue1-
dc.identifier.spage1-
dc.identifier.epage18-

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