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<p>Scientific models are increasingly expected to support decision making in complex governance environments. However, the institutional embedding of model outputs often encounters structural mismatches between the modeling and governance domains. This study explored how model-derived knowledge can be translated into actionable governance practices by integrating two theoretical perspectives: the Socialization–Externalization–Combination–Internalization (SECI) model of knowledge conversion and science–policy interface theory. Drawing on empirical evidence from the Eastern Route of the South-to-North Water Diversion Project, we constructed a comparative framework to analyze alignment and misalignment across four key dimensions: semantic representation, logical structure, procedural compatibility, and institutional integration. Our findings revealed that successful model uptake depended not only on the technical quality of models but also on the compatibility of their outputs with policy language, decision routines, and organizational mechanisms. This work provided theoretical and practical insights into improving the usability and impact of scientific models within policy processes.</p>

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Bridging the gap between scientific models and water governance: A framework from China’s South-to-North Water Transfer Project

  • 期刊论文

  • 发表日期：

    2025年12月3日

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  • Yueyi Liu,
  • Hang Zheng,
  • Jianshi Zhao

摘要

Scientific models are increasingly expected to support decision making in complex governance environments. However, the institutional embedding of model outputs often encounters structural mismatches between the modeling and governance domains. This study explored how model-derived knowledge can be translated into actionable governance practices by integrating two theoretical perspectives: the Socialization–Externalization–Combination–Internalization (SECI) model of knowledge conversion and science–policy interface theory. Drawing on empirical evidence from the Eastern Route of the South-to-North Water Diversion Project, we constructed a comparative framework to analyze alignment and misalignment across four key dimensions: semantic representation, logical structure, procedural compatibility, and institutional integration. Our findings revealed that successful model uptake depended not only on the technical quality of models but also on the compatibility of their outputs with policy language, decision routines, and organizational mechanisms. This work provided theoretical and practical insights into improving the usability and impact of scientific models within policy processes.