空间和地理计算与计算社会学的融合路径

Yang Yue; Yu Liu; Yunsong Chen; Li He; Chen Chen; Wenwen Li; Kun Qin; Tao Jia; Gang Xu; Fahui Wang; Jingyuan Wang; Xing Xie; Fengli Xu; Yang Xu; Shiliang Su; Zhipeng Gui; Lan You; Mingda Zhang; Feng Zhang; Xiaoxiang Zhang; Bo Zhao; Yaolong Zhao; Yulun Zhou; Bo Huang; Kai Cao

doi:10.13203/j.whugis20210619

空间和地理计算与计算社会学的融合路径

Translated title of the contribution: Integration Path of Spatial and Geo‑Computing and Computational Social Science

Yang Yue
, Yu Liu
, Yunsong Chen
, Li He
, Chen Chen
, Wenwen Li
, Kun Qin
, Tao Jia
, Gang Xu
, Fahui Wang
, Jingyuan Wang
, Xing Xie
, Fengli Xu
, Yang Xu
, Shiliang Su
, Zhipeng Gui
, Lan You
, Mingda Zhang
, Feng Zhang
, Xiaoxiang Zhang

Bo Zhao, Yaolong Zhao, Yulun Zhou, Bo Huang, Kai Cao

School of Geographic Sciences

Shenzhen University
Peking University
Nanjing University
School of Humanities and Social Science
Arizona State University
Wuhan University
Louisiana State University
Beihang University
Microsoft USA
The University of Chicago
Hong Kong Polytechnic University
Hubei University
Zhejiang University
Hohai University
University of Washington
South China Normal University
The University of Hong Kong
Chinese University of Hong Kong

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Translated title of the contribution	Integration Path of Spatial and Geo‑Computing and Computational Social Science
Original language	Chinese (Traditional)
Pages (from-to)	1-18
Number of pages	18
Journal	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University
Volume	47
Issue number	1
DOIs	https://doi.org/10.13203/j.whugis20210619
State	Published - 5 Jan 2022

Access to Document

10.13203/j.whugis20210619

Cite this

Yue, Y., Liu, Y., Chen, Y., He, L., Chen, C., Li, W., Qin, K., Jia, T., Xu, G., Wang, F., Wang, J., Xie, X., Xu, F., Xu, Y., Su, S., Gui, Z., You, L., Zhang, M., Zhang, F., ... Cao, K. (2022). 空间和地理计算与计算社会学的融合路径. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 47(1), 1-18. https://doi.org/10.13203/j.whugis20210619

@article{47bf985b7452418e955357ea42c1f010,

title = "空间和地理计算与计算社会学的融合路径",

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.",

keywords = "Computational social science, Geo⁃social computing, Social computing, Spatial computing, Spatial⁃social computing",

author = "Yang Yue and Yu Liu and Yunsong Chen and Li He and Chen Chen and Wenwen Li and Kun Qin and Tao Jia and Gang Xu and Fahui Wang and Jingyuan Wang and Xing Xie and Fengli Xu and Yang Xu and Shiliang Su and Zhipeng Gui and Lan You and Mingda Zhang and Feng Zhang and Xiaoxiang Zhang and Bo Zhao and Yaolong Zhao and Yulun Zhou and Bo Huang and Kai Cao",

year = "2022",

month = jan,

day = "5",

doi = "10.13203/j.whugis20210619",

language = "繁体中文",

volume = "47",

pages = "1--18",

journal = "Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University",

issn = "1671-8860",

publisher = "Editorial Department of Geomatics and Information Science of Wuhan University",

number = "1",

}

Yue, Y, Liu, Y, Chen, Y, He, L, Chen, C, Li, W, Qin, K, Jia, T, Xu, G, Wang, F, Wang, J, Xie, X, Xu, F, Xu, Y, Su, S, Gui, Z, You, L, Zhang, M, Zhang, F, Zhang, X, Zhao, B, Zhao, Y, Zhou, Y, Huang, B & Cao, K 2022, '空间和地理计算与计算社会学的融合路径', Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, vol. 47, no. 1, pp. 1-18. https://doi.org/10.13203/j.whugis20210619

TY - JOUR

T1 - 空间和地理计算与计算社会学的融合路径

AU - Yue, Yang

AU - Liu, Yu

AU - Chen, Yunsong

AU - He, Li

AU - Chen, Chen

AU - Li, Wenwen

AU - Qin, Kun

AU - Jia, Tao

AU - Xu, Gang

AU - Wang, Fahui

AU - Wang, Jingyuan

AU - Xie, Xing

AU - Xu, Fengli

AU - Xu, Yang

AU - Su, Shiliang

AU - Gui, Zhipeng

AU - You, Lan

AU - Zhang, Mingda

AU - Zhang, Feng

AU - Zhang, Xiaoxiang

AU - Zhao, Bo

AU - Zhao, Yaolong

AU - Zhou, Yulun

AU - Huang, Bo

AU - Cao, Kai

PY - 2022/1/5

Y1 - 2022/1/5

N2 - 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.

AB - 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.

KW - Computational social science

KW - Geo⁃social computing

KW - Social computing

KW - Spatial computing

KW - Spatial⁃social computing

UR - https://www.scopus.com/pages/publications/85122917838

U2 - 10.13203/j.whugis20210619

DO - 10.13203/j.whugis20210619

M3 - 文章

AN - SCOPUS:85122917838

SN - 1671-8860

VL - 47

SP - 1

EP - 18

JO - Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University

JF - Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University

IS - 1

ER -

空间和地理计算与计算社会学的融合路径

Abstract

Access to Document

Other files and links

Fingerprint

Cite this