【摘要】 <正>进入数字化时代以来，传统学术范式持续遭遇冲击，越来越多的学者注意到数字技术对理论研究与社会变迁的颠覆性影响。改革发展叠加技术迭代给民众生活带来了天翻地覆的变化，亦给中国学术研究和知识生产带来了前所未有的机遇与挑战。今天，我们迫切需要一场范式革命，从方法论或者说是从思维方式层面，推动学术研究的变革和创新。更多还原

【Abstract】 Since the advent of the digital age, traditional academic paradigms have been continuously challenged and even disrupted. An increasing number of scholars have become aware of the disruptive impact of digital technology on theoretical research and social change. Today, we urgently need a paradigm revolution to promote the transformation and innovation of academic research from the perspective of methodology or thinking mode. Professor Mi jianing proposed ten epistemological issues of generative large models, trying to explore the way of “human-machine symbiosis” in different dimensions such as technology, application, theory, philosophy, and future. Professor Zhu Dajian pointed out that China’s high-quality development and strong sustainability paradigm have inherent consistency. Significantly improving economic and social well-being without exceeding the ecological environment red line is a sustainable transformation model C that China is creating, which will promote the transformation from a data-output research paradigm to an idea-output research paradigm. Professor Lv Peng believes that the “large-scale social simulator” plays an important role in solving social operation and epistemological problems, systematically depicting the context and field of social knowledge, strengthening the exploration and discovery of knowledge, carrying out the verification and updating of social knowledge, and promoting the good governance and optimization of real society. Professor Liang Yucheng believes that the generative artificial intelligence, which is driven by large language models, is an important symbol of the transformation of the intelligent society. Sociologists should use large language models as both testing tools and testing objects. Associate Professor Jiang Libiao pointed out that in response to changes in the nature of society and the transformation of knowledge production paradigms, possible autonomous strategies can be sought from three dimensions: the factual objects of knowledge production, the core focus of knowledge production, and the cognitive essence of knowledge production. Professor Liang Chen believes that the continuous integration of artificial intelligence and the increase in human-machine collaboration inevitably impact the paradigms of historical research. The “discovery” function of history will be reawakened, and the proliferation of diverse historical facts will, in turn, drive the evolution of historical theories and enhance interdisciplinary dialogue.更多还原