Crowd science and engineering: concept and research framework

Purpose – The synthetic application and interaction of/between the internet, Internet of Things, cloud computing, big data, Industry 4.0 and other new patterns and new technologies shall breed future Web-based industrial operation system and social operation management patterns, manifesting as a cro...

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Main Authors: Yueting Chai, Chunyan Miao, Baowen Sun, Yongqing Zheng, Qingzhong Li
Format: Article
Language:English
Published: Tsinghua University Press 2017-03-01
Series:International Journal of Crowd Science
Subjects:
Online Access:https://www.emeraldinsight.com/doi/pdfplus/10.1108/IJCS-01-2017-0004
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author Yueting Chai
Chunyan Miao
Baowen Sun
Yongqing Zheng
Qingzhong Li
author_facet Yueting Chai
Chunyan Miao
Baowen Sun
Yongqing Zheng
Qingzhong Li
author_sort Yueting Chai
collection DOAJ
description Purpose – The synthetic application and interaction of/between the internet, Internet of Things, cloud computing, big data, Industry 4.0 and other new patterns and new technologies shall breed future Web-based industrial operation system and social operation management patterns, manifesting as a crowd cyber eco-system composed of multiple interconnected intelligent agents (enterprises, individuals and governmental agencies) and its dynamic behaviors. This paper aims to explore the basic principles and laws of such a system and its behavior. Design/methodology/approach – The authors propose the concepts of crowd science and engineering (CSE) and expound its main content, thus forming a research framework of theories and methodologies of crowd science. Findings – CSE is expected to substantially promote the formation and development of crowd science and thus lay a foundation for the advancement of Web-based industrial operation system and social operation management patterns. Originality/value – This paper is the first one to propose the concepts of CSE, which lights the beacon for the future research in this area.
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spelling doaj.art-94497438041c4d5db90323cf00f1e7552022-12-22T02:44:12ZengTsinghua University PressInternational Journal of Crowd Science2398-72942017-03-01112810.1108/IJCS-01-2017-0004591363Crowd science and engineering: concept and research frameworkYueting Chai0Chunyan Miao1Baowen Sun2Yongqing Zheng3Qingzhong Li4National Engineering Laboratory for E-commerce Technology, Tsinghua University, Beijing, ChinaJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Technological University, Singapore, Singapore and School of Computer Science and Engineering, Nanyang Technological University, Singapore, SingaporeCentral University of Finance and Economics, Beijing, ChinaShangdong University, Jinan, ChinaShangdong University, Jinan, ChinaPurpose – The synthetic application and interaction of/between the internet, Internet of Things, cloud computing, big data, Industry 4.0 and other new patterns and new technologies shall breed future Web-based industrial operation system and social operation management patterns, manifesting as a crowd cyber eco-system composed of multiple interconnected intelligent agents (enterprises, individuals and governmental agencies) and its dynamic behaviors. This paper aims to explore the basic principles and laws of such a system and its behavior. Design/methodology/approach – The authors propose the concepts of crowd science and engineering (CSE) and expound its main content, thus forming a research framework of theories and methodologies of crowd science. Findings – CSE is expected to substantially promote the formation and development of crowd science and thus lay a foundation for the advancement of Web-based industrial operation system and social operation management patterns. Originality/value – This paper is the first one to propose the concepts of CSE, which lights the beacon for the future research in this area.https://www.emeraldinsight.com/doi/pdfplus/10.1108/IJCS-01-2017-0004IntelligenceCrowd scienceStabilityEcology and evolutionModelling and simulation
spellingShingle Yueting Chai
Chunyan Miao
Baowen Sun
Yongqing Zheng
Qingzhong Li
Crowd science and engineering: concept and research framework
International Journal of Crowd Science
Intelligence
Crowd science
Stability
Ecology and evolution
Modelling and simulation
title Crowd science and engineering: concept and research framework
title_full Crowd science and engineering: concept and research framework
title_fullStr Crowd science and engineering: concept and research framework
title_full_unstemmed Crowd science and engineering: concept and research framework
title_short Crowd science and engineering: concept and research framework
title_sort crowd science and engineering concept and research framework
topic Intelligence
Crowd science
Stability
Ecology and evolution
Modelling and simulation
url https://www.emeraldinsight.com/doi/pdfplus/10.1108/IJCS-01-2017-0004
work_keys_str_mv AT yuetingchai crowdscienceandengineeringconceptandresearchframework
AT chunyanmiao crowdscienceandengineeringconceptandresearchframework
AT baowensun crowdscienceandengineeringconceptandresearchframework
AT yongqingzheng crowdscienceandengineeringconceptandresearchframework
AT qingzhongli crowdscienceandengineeringconceptandresearchframework