@article{Chai2017, 
author = {Yueting Chai and Chunyan Miao and Baowen Sun and Yongqing Zheng and Qingzhong Li},
title = {Crowd science and engineering: concept and research framework},
year = {2017},
journal = {International Journal of Crowd Science},
volume = {1},
number = {1},
pages = {2-8},
keywords = {Transaction, Intelligence, Crowd science, Stability, Ecology and evolution, Modelling and simulation},
url = {https://www.sciopen.com/article/10.1108/IJCS-01-2017-0004},
doi = {10.1108/IJCS-01-2017-0004},
abstract = {PurposeThe 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/approachThe 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.FindingsCSE 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/valueThis paper is the first one to propose the concepts of CSE, which lights the beacon for the future research in this area.}
}