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
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
相关论文
共 50 条
[21]   Model granularity in engineering design - Concepts and framework [J].
Maier J.F. ;
Eckert C.M. ;
John Clarkson P. .
Design Science, 2017, 3
[22]   Crowdsourcing research questions in science [J].
Beck, Susanne ;
Brasseur, Tiare-Maria ;
Poetz, Marion ;
Sauermann, Henry .
RESEARCH POLICY, 2022, 51 (04)
[23]   Formal Concept Analysis and Its Validity in Power Reliability Engineering [J].
Bhuyan, Bikram Pratim ;
Tomar, Ravi ;
Ramdane-Cherif, Amar .
ELECTRICA, 2023, 23 (02) :250-261
[24]   Advance in grey system theory and applications in science and engineering [J].
Liu, Sifeng ;
Tao, Yong ;
Xie, Naiming ;
Tao, Liangyan ;
Hu, Mingli .
GREY SYSTEMS-THEORY AND APPLICATION, 2022, 12 (04) :804-823
[25]   Quantitative and Qualitative Research in Psychological Science [J].
Nelson K. .
Biological Theory, 2015, 10 (3) :263-272
[26]   STUDENTS' AWARENESS OF SCIENCE, TECHNOLOGY, ENGINEERING AND MATHEMATICS (STEM) IN PAHANG [J].
Rasli, Maizatul Akmar Mohd ;
Ghani, Fadhilah Abdul ;
Razali, Nurul Huda Ahmad ;
Rajadurai, Jegatheesan ;
Mukhtar, Muhammad Abdul Fatah Bin Mohammed ;
Bin Ahmad, Hamzah .
9TH INTERNATIONAL ECONOMICS AND BUSINESS MANAGEMENT CONFERENCE (IEBMC 2019), 2020, 100 :862-869
[27]   Concept Maps as Assessments of Expertise: Understanding of the Complexity and Interrelationships of Concepts in Science [J].
Maker, C. June ;
Zimmerman, Robert H. .
JOURNAL OF ADVANCED ACADEMICS, 2020, 31 (03) :254-297
[28]   Nano-Science-Engineering-Technology Applications to Food and Nutrition [J].
Nakajima, Mitsutoshi ;
Wang, Zheng ;
Chaudhry, Oasim ;
Park, Hyun Jin ;
Juneja, Lekh R. .
JOURNAL OF NUTRITIONAL SCIENCE AND VITAMINOLOGY, 2015, 61 :S180-S182
[29]   An Introduction to Statistical Issues and Methods in Metrology for Physical Science and Engineering [J].
Vardeman, Stephen ;
Hamada, Michael S. ;
Burr, Tom ;
Morris, Max ;
Wendelberger, Joanne ;
Jobe, J. Marcus ;
Moore, Leslie ;
Wu, Huaiquing .
JOURNAL OF QUALITY TECHNOLOGY, 2014, 46 (01) :33-62
[30]   Leaderless Resistance: Development, Countering and Research of Insurgent Concept [J].
Mares, Miroslav .
VOJENSKE ROZHLEDY-CZECH MILITARY REVIEW, 2020, 29 (03) :41-56