“社会5.0”的智库提升决策咨询研究科学性的主要途径是从传统的专家驱动型智库转变为数据驱动型智库。数据驱动型智库的建设范式包括社会文化与政策环境层、核心理念与顶层设计层、智库业务运营与传播层和数据底座层等要素。智库需从强化数据驱动认知和充分利用国家数据驱动政策供给、沉淀数据资产、推动业务模式创新变革、重视数智“工具箱”的开发与应用、优化数据人才配置，强化数据团队建设等方面推动智库数据驱动转型。

The main way for think tanks in “Society 5.0” to improve the scientific nature of decision-making consulting research is to respond to the national strategy of digital social science construction, and transform the traditional expert-driven think tanks into data-driven think tanks. The construction paradigm of data-driven think tanks includes social culture and policy environment layer, core concept and top-level design layer, think tank business operation and communication layer and data base layer. Think tanks need to promote data-driven transformation in terms of strengthening important cognition and policy supply, accumulating data assets, promoting innovation and transformation of business models, emphasizing the construction and application of the data intelligence “toolbox”, optimizing the allocation of data talents, and strengthening the establishment of data teams.