STS视域下大数据时代的科学知识生产  

Scientific knowledge production in the era of big data from the perspective of STS

作　　者：丁大尉[1] DING Da-wei(School of Literature and Journalism,Yantai University,Yantai 264005,China)

机构地区：[1]烟台大学文学与新闻传播学院,山东烟台264005

出　　处：《科学学研究》2024年第5期897-903,共7页Studies in Science of Science

基　　金：教育部人文社会科学研究规划基金项目(23YJA720002)。

摘　　要：在分析大数据时代科学知识生产新范式的思维本质及其方法论纲领的基础上指出,大数据驱动的知识生产方式带来了诸如引发了新的社会公平问题、强化了学术资源新的垄断、塑造了知识生产新的路径依赖、带来了新的科研伦理争议等社会问题。进而基于STS视角从数据科学与科学学研究的新视域、数据资本建构的新的学术权力、新知识生产模式中的利益分配和平衡关系、大数据科学规律的价值负载等几个方面深入反思了这些社会问题产生的根源及其本质。Based on the analysis of the thinking essence and methodology program of the new paradigm of scientific knowledge production in the era of big data, this paper points out that the big data-driven knowledge production mode has brought about some social problems, such as causing new social justice problems, strengthening the new monopoly of academic resources, shaping the new path dependence of knowledge production, and bringing new scientific research ethics disputes. Then, based on STS perspective, this paper deeply reflects on the root cause and nature of these social problems from data science and the new perspective of studies in science of science, new academic power in data capital construction, new interest distribution and balance relationship in new knowledge production mode, and value load of data science laws.

关 键 词：大数据 知识生产 科学范式 场域 

分 类 号：G301[文化科学]