[AI-Generated Summary]: This article by Wang Xiaoguang and Fu Jingyi from Wuhan University explores the transformation of academic infrastructure in philosophy and social sciences driven by digital-smart technologies. The authors argue that rapid developments in AI and big data are fundamentally reshaping knowledge production methods and research paradigms in the humanities and social sciences. They propose a shift from traditional literature-based infrastructure to intelligent computing infrastructure that integrates smart data resources, intelligent computational methods, and open science principles. The article examines how Digital Humanities laboratories are becoming new frontiers for interdisciplinary research, supporting experimental approaches including historical simulation, cultural computing, forensic reasoning, and psychological behavior experiments. The authors call for systematic development of next-generation digital-smart academic infrastructure through strategic planning, cross-disciplinary collaboration, open platforms, and shared knowledge ecosystems to enable philosophy and social sciences research to adapt to the AI era.
Language: zh