Data Science and Computing Intelligence: Concept, Paradigm, and Opportunities

Authors

CHENG Xueqi, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
MEI Hong, Peking University, Beijing 100871, China; Advanced Institute of Big Data, Beijing 100195, China
ZHAO Wei, American University of Sharjah, Sharjah 999041, The United Arab Emirates
WAH Wan Sang B, The Chinese University of Hong Kong, Hong Kong 999077, China
SHEN Huawei, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
LI Guojie, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China

Keywords

data science; computing intelligence; big data; intelligent system; paradigm

Document Type

Article

Abstract

The development of data science is valuable to clarify the theoretical boundary of data science, and provides new possibilities and opportunities for the sustainable development of computing intelligence. Meanwhile, the development of computing intelligence and the emergence of new intelligence paradigms can offer new chance for applications of big data in various industries and fields. This paper discusses the connotation of data science, the development of computing intelligence, the new intelligence paradigm, and lists the key applications leading the development of data science and computing intelligence. Furthermore, based on the discussion during the 667th Xiangshan Science Conference, seven key problems of data science and computing technology are proposed, anticipating to attract attentions of both researchers and applications in related fields, grasping the opportunity of the era, and promoting sustainable development of data science and computing intelligence.

First page

1470

Last Page

1481

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

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Recommended Citation

Xueqi, CHENG; Hong, MEI; Wei, ZHAO; Wan Sang B, WAH; Huawei, SHEN; and Guojie, LI (2020) "Data Science and Computing Intelligence: Concept, Paradigm, and Opportunities," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 35 : Iss. 12 , Article 6.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20201116005
Available at: https://bulletinofcas.researchcommons.org/journal/vol35/iss12/6