Crowd science and engineering: concept and research framework

被引：0
作者：
Chai Y. [1 ]
Miao C. [2 ,5 ]
Sun B. [3 ]
Zheng Y. [4 ]
Li Q. [4 ]
机构：
[1] National Engineering Laboratory for E-commerce Technology, Tsinghua University, Beijing
[2] Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Technological University
[3] Central University of Finance and Economics, Beijing
[4] Shangdong University, Jinan
[5] School of Computer Science and Engineering, Nanyang Technological University
来源：
International Journal of Crowd Science | 2017年 / 1卷 / 01期
关键词：
Crowd science; Ecology and evolution; Intelligence; Modelling and simulation; Stability; Transaction;
D O I：
10.1108/IJCS-01-2017-0004
中图分类号：
学科分类号：
摘要：
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. © 2017, Yueting Chai, Chunyan Miao, Baowen Sun, Yongqing Zheng and Qingzhong Li.
引用
收藏
页码：2 / 8
页数：6
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