大数据 ›› 2016, Vol. 2 ›› Issue (2): 3-16.doi: 10.11959/j.issn.2096-0271.2016014

• 专题 • 上一篇    下一篇

大数据时代的社会治理与社会研究:现状、问题与前景

冯仕政   

  1. 中国人民大学社会与人口学院,北京 100872
  • 出版日期:2016-03-20 发布日期:2020-09-29
  • 作者简介:冯仕政(1974-),男,中国人民大学社会与人口学院教授、副院长,主要研究方向为政治社会学、社会治理、社会不平等。
  • 基金资助:
    中国人民大学科研基金资助项目“当前中国网络群体性事件的形成及治理研究”(13XNL005)

Big data and social studies in China’s governance: status quo, problems, and prospects

Shizheng FENG   

  1. School of Sociology and Population Studies, Renmin University of China, Beijing 100872, China
  • Online:2016-03-20 Published:2020-09-29
  • Supported by:
    Research Funds for Central Universities, and the Research Funds of Renmin University of China “The Online Collective Action in Current China”(13XNL005)

摘要:

区分大数据社会研究中科学和应用这两种取向及其相互关系;考察大数据给社会研究带来的机遇、挑战和面临的困难;揭示大数据所具有的数据、社会和技术的三重面相以及相应而来的不同学科在大数据社会研究中的地位和关系;剖析社会科学、统计科学和计算科学3个学科合作中的困境及其原因。

关键词: 大数据, 社会研究, 社会治理, 社会计算, 社会统计

Abstract:

The two potential orientations that are scientific research and social application, in big data studies, and their relationship were clarified. In light of this, the chances, challenges that big data brings and its weakness towards social studies were explored. Based on specifying the three properties of big data as statistical numbers, as social processes, and as technical functions, their respective positions of different disciplines in big data-based social studies, and both the difficulties and their sources in cooperation between different disciplines were shed light on.

Key words: big data, social study, social governance, social computation, social statistics

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