Against the macro-background of the “dual carbon” goals, the energy revolution, and digital transformation, universities with dominant disciplines in geology, mining, and petroleum (hereafter “industrycharacteristic universities”) must not only respond to national strategic demands for energy resource security and green, low-carbon transition but also address multiple challenges such as updating talent cultivation paradigms, fostering industrial chain collaborative innovation, and modernizing university governance. The Philosophy and Social Sciences Laboratories should address forward-looking, comprehensive, and complex issues in economic and social development, rely on data resources and information technology, promote interdisciplinary collaboration, and form a high-quality innovation platform integrating teaching, research, and policy consultation. However, industry-characteristic universities still face significant bottlenecks, including a mismatch between investment and reputation structures, high costs in organizing practical teaching, weak interdisciplinary collaboration, and insufficient data asset governance capabilities. Based on theories of organized research and industry-education integration, this paper constructs a development path model termed “Scenario-Driven — Data Foundation — Collaborative Education — Transformation” (SDCT model). It reveals how the “dual carbon” goals, digital and intelligent technologies, and green governance needs influence the evolution of philosophy and social sciences laboratories through the mechanism of “problem scenario-based — data asset-based — organization platform-based — outcome product-based”. Furthermore, it proposes a phased development roadmap, governance structure, and evaluation system. The study argues that the key to achieving high-quality, sustainable, and assessable development for these laboratories in industry-characteristic universities lies in: using real and complex industry carbon governance scenarios as the driving force; establishing authoritative data and toolchains as core assets; adopting multi-stakeholder collaboration among universities, government, and enterprises as the organizational mode; and utilizing policy advisory, standard tools, and talent supply as transformation outputs. This paper provides an explanatory framework and policy recommendations from the perspective of educational governance and organizational innovation for “industry-education integration-driven green education innovation and the energy technology industry”.
Yong et al. (Thu,) studied this question.
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