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Journal of Library and Information Science in Agriculture ›› 2022, Vol. 34 ›› Issue (5): 67-75.doi: 10.13998/j.cnki.issn1002-1248.21-0917

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Construction of "Think Tank" Intelligence System from the Perspective of Engineering

ZHENG Huaiguo, ZHAO Jingjuan*, QIN Xiaojing   

  1. Institute of Data Science and Agricultural Economics, Bei-jing Academy of Agriculture and Forestry Sciences, Beijing 100097
  • Received:2021-11-24 Online:2022-05-05 Published:2022-05-27

Abstract: [Purpose/Significance] Under the background of the strategic development of China's think tanks, the transformation of sci-tech intelligence agencies into "think tanks" has become a trend driven by the impetus of both national demand and these agencies' own development demand. Although these agencies have abundant information resources and mature method systems, which lay a strong foundation for their transformation to "think tanks", as the problems that "think tank" needs to solve are often related to complicated situations. We need to deeply mine and analyze the information concerning politics, economy, culture, science and technology, and stimulate the wisdom of interdisciplinary experts to provide a solution for scientific decision-making. Therefore, it is necessary for intelligence agencies to change their paradigm of intelligence research and construct an intelligence service system that can meet the requirements of comprehensiveness, profundity and timeliness. The engineering perspective provides a new idea and a new paradigm for the establish-ment of such an intelligence service system to meet the service demand of "think tanks". The relevant research carried out in China has clarified the relationship between think tanks and intelligence, and introduced engineering thinking into the construction of an intelligence service system, However, there is still a lack of research on the construction of a "think tank" intelligence service system that can meet the needs of complex decision-making scenarios and timely respond to the whole de-cision-making process. [Method/Process] From the perspective of engineering, Hall's three-dimensional structure has been selected as the methodology in this paper. In terms of time dimension, the paper reflects the cycle of five links: information planning, data collection, infor-mation analysis, information service and evaluation feedback; in terms of knowledge dimension, it strengthens the construction of knowledge base, research methods, technical tools and expert wisdom; in the logical dimension, it is considered from five aspects: information demand analysis and identification, information problem extraction and clarification, target determination and scheme design, scheme implementation and optimization, and effect evaluation. Based on the construction of a knowledge-based resource guarantee system, technology support system and information service system, this study constructs a "think tank" information service system, and establishes the management system and mechanism based on Hall's model matrix in time dimension and logic dimension, so as to provide guarantee for the development of "think tanks". With "capacity building and institutional constraints", this study has built a rapid response and efficient "think tank" information service system that can support strategic decision-making, scientific research and industrial development. [Results/Conclusions] The "think tank" information system based on Hall's information service model constructed in this paper can continuously strengthen information research and service, and provide guarantee for the development of "think tank". However, this paper only makes a preliminary discussion on the construction of the "think tank" information system from the perspective of engineering. In the future, further research needs to be carried out from both theoretical and practical aspects to adapt to the new situation of continuous development.

Key words: engineering perspective, information system, think tank, hall model

CLC Number: 

  • G250
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