行为大数据,通宏洞微与人类决策——计算社会科学的兴起与发展  

The Emergence and Development of Computational Social Science——Human Decision Based on the Big Data of Behaviors from Micro to Macro

作　　者：王国成[1] 

机构地区：[1]中国社会科学院数量经济与技术经济研究所,北京100732

出　　处：《科研信息化技术与应用》2015年第6期3-11,共9页E-science Technology & Application

基　　金：国家重点基础研究发展计划(973计划)(2012CB955802);国家自然科学基金(71471177)

摘　　要：大数据和e-Science究竟能为社会科学研究带来什么,其本质属性、结合点、关键技术特征、展开路径和发展前景如何?本文概述行为大数据的本质特征和深化分析方法、一体化建模与社会科学计算实验平台构建及人文社会逻辑推理等相关内容,探索破解现实复杂情景中人类决策内在奥秘的可行途径,由此促使社会科学研究在与科技创新的深度结合中进一步突显人文特色;并结合实际应用简述若干案例,以更好地解释和展现计算社会科学缘何兴起及发展前景。What will happen to social sciences with big data and e-Science, and how about the nature, the connection, the key technology, the developing route and the perspective of them？ It is summarized in this paper that the nature of the big data of behaviors and the methods of their deeply analysis, how to construct bottom-up the integrated model with micro-macro linkage, how to construct the computational experiment platform with humanistic and social logic, and how to explore the complexity of decisions. A number of application cases are briefly introduced to explain and reveal why the computational social science has been rising and developied.

关 键 词：行为大数据 社会科学计算实验 一体化建模 复杂情景决策 

分 类 号：F713.8[经济管理—广告]