Constructing A Research Paradigm for Think Tank Modernization Based on the Double Helix Method

Modernization research can generally be divided into theoretical modernization research and think tank modernization research. While theoretical modernization research has developed a relatively mature methodological system, the paradigm of think tank modernization research is still characterized by empirical, fragmented, and random features, lacking a systematic research framework making it difficult to cope with the challenges of comprehensiveness and complexity in modernization research, and urgently requiring a new paradigm. Based on the foundational logic of the Double Helix Method theory, this study employs the DIIS and MIPS research methodologies to systematically construct a think tank modernization research framework. Research has found that the double helix method provides a new path for modernizing think tanks from both process and logic dimensions. The DIIS process fusion method guides process research through four stages: big data construction, information disclosure, comprehensive analysis, and solution proposal; The MIPS logical hierarchy process provides full chain policy analysis for decision-making services based on the logical framework of “mechanism analysis—impact analysis—policy analysis—formation plan”. The double helix method sets up new rules for the organization of large-scale think tank modernization research, and provides a comprehensive method and paradigm path for the standardization and scientificity of Chinese path to modernization think tank research in terms of organization, logic, etc. , but the ability to deal with rapid response and uncertainty needs to be further improved in the future.

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Publication Details

Journal
Chinese Sustainable Development Review
Published
2025-03-28
DOI
https://doi.org/10.48014/csdr.20241225002
Primary Topic
Knowledge Management and Sharing
Type
article
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article

Constructing A Research Paradigm for Think Tank Modernization Based on the Double Helix Method

Xueyuan Zhao, Yang Li, Jing Jin, Qiming YUE
Chinese Sustainable Development Review
Knowledge Management and Sharing
article

Constructing A Research Paradigm for Think Tank Modernization Based on the Double Helix Method

Xueyuan Zhao, Yang Li, Jing Jin, Qiming YUE
article en

Abstract

Modernization research can generally be divided into theoretical modernization research and think tank modernization research. While theoretical modernization research has developed a relatively mature methodological system, the paradigm of think tank modernization research is still characterized by empirical, fragmented, and random features, lacking a systematic research framework making it difficult to cope with the challenges of comprehensiveness and complexity in modernization research, and urgently requiring a new paradigm. Based on the foundational logic of the Double Helix Method theory, this study employs the DIIS and MIPS research methodologies to systematically construct a think tank modernization research framework. Research has found that the double helix method provides a new path for modernizing think tanks from both process and logic dimensions. The DIIS process fusion method guides process research through four stages: big data construction, information disclosure, comprehensive analysis, and solution proposal; The MIPS logical hierarchy process provides full chain policy analysis for decision-making services based on the logical framework of “mechanism analysis—impact analysis—policy analysis—formation plan”. The double helix method sets up new rules for the organization of large-scale think tank modernization research, and provides a comprehensive method and paradigm path for the standardization and scientificity of Chinese path to modernization think tank research in terms of organization, logic, etc. , but the ability to deal with rapid response and uncertainty needs to be further improved in the future.

Chinese Sustainable Development ReviewVol. 4(1)
Openalex Percentile: Top 91%
Knowledge Management and Sharing
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