大数据与社会认识论:追本溯源、领域拓展及其实践探索

Big Data and Social Epistemology: Sources Tracing, Field Expansion and Practice Exploration

大数据作为最新信息科学技术的代表正引发一场技术和思维革命,它给政府部门、产业界和学术界等带来新的解决方案和发展方向,与此同时也改变了人们的思维方式,在此背景下对大数据的研究已经成为当今哲学研究尤其是社会认识论研究关注的重点课题。从社会认识论的视角开展大数据的研究应该包括分析探索大数据技术本身和它的哲学意涵,大数据所形塑的社会和以此为思考立足点的社会认识论研究再出发,以及在理论研究基础上对大数据的合理实践探索等方面。社会认识论与大数据的结合实现了对大数据时代社会所特有的活动结构、方式、方法、规律的重新认识,它具有高度的时代性和鲜明的实践导向性。

As a representative of the latest information science and technology, big data is triggering a revolution in technology and thinking. It brought not only new solutions and development directions to government departments, industry and academia, but also profoundly changed the way people think. At this stage, big data research has become a key subject of contemporary philosophical research, especially social epistemology research. Carrying out big data research from the perspective of social epistemology should include analysis and exploration of big data technology itself and its philosophical implications, the society shaped by big data and the social epistemology research based on this, as well as reasonable practice of big data based on theoretical research, etc. The combination of social epistemology and big data has realized a new understanding of the activity structure, mode, method and law unique to the society in the era of big data, which is highly epochal and has distinct practical guidance.