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This book unprecedentedly and systematically puts forward the double helix methodology in think tanks, which is used to explore and answer the questions regarding the pathways and methods to realize the transitions from empirical to scientific research, from discrete to systematic approaches, from random to normative practices, from academic to academic-practical purposes, from static to steady-state analysis, and from mono-disciplinary to interdisciplinary research. The methodology analyzes the evolution trend of research methods in domestic and foreign think tanks and develops the four-layer model of the double helix methodology in think tanks. Revolving the ten key issues of the double helix methodology in think tanks, the book develops the theoretical foundation and methodological guidance for accelerating the formation and development of the discipline of think tank science and engineering and for promoting the professional, scientific, and disciplinary construction of think tanks.
List of contents
Chapter 1. Connotation of Think Tanks and Its Development (Pan Jiaofeng et al).- Chapter 2. Theory Structure of the Double Helix Methodology in Think Tanks (Pan Jiaofeng et al).- Chapter 3. Theoretical Value and Significance of the Double Helix Methodology in Think Tanks (Pan Jiaofeng et al).- Chapter 4. Decomposition of Think Tank Problems (Yang Guoliang et al). Chapter 5. Scenario Analysis of Think Tank Problems (Leng Fuhai et al).- Chapter 6. Uncertainty Analysis in Think Tank Problem Study (Gao Mingang).- Chapter 7. Policy Simulation Analysis in Think Tank Problem Research (Wu Jing et al).- Chapter 8. Cyclic Iteration of Think Tank Research (Liu Huihui et al) .- Chapter 9. DIIS and MIPS Coupling (Mu Di et al).- Chapter 10. Organization and Management of Think Tank Experts (Wan Jinbo et al).- Chapter 11. Human-machine Research Support System in Think Tank Research (Zhang Feng et al).- Chapter 12. Combination of Objective Analysis and Subjective Judgment (Wan Jinbo et al).- Chapter 13. Product Quality Management (Mu Di et al).