计算社会经济学
Computational Socioeconomics
摘要：
揭示社会经济系统的结构，及时估计社会经济状况，对经济发展具有重要意义。对社会经济过程的理解为量化全球经济发展、绘制区域产业结构图和推断个人社会经济地位提供了基础。本文首先简要介绍了计算社会经济学这一新兴的跨学科研究领域，然后详细介绍了计算社会经济学的数据资源、计算工具、数据驱动方法、理论模型和多分辨率的新应用，包括全球经济不平等性和复杂性的量化、区域产业结构和城市感知地图，个人社会经济状况和人口统计的估计，以及紧急事件的实时监控。这篇评论，连同我们强调的开创性工作，将引起越来越多的跨学科的关注，并在未来的社会经济研究中引起方法论的转变。
英文摘要：
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. The understanding of socioeconomic processes provides foundations to quantify global economic development, to map regional industrial structure, and to infer individual socioeconomic status. In this review, we will make a brief manifesto about a new interdisciplinary research field named Computational Socioeconomics, followed by detailed introduction about data resources, computational tools, data-driven methods, theoretical models and novel applications at multiple resolutions, including the quantification of global economic inequality and complexity, the map of regional industrial structure and urban perception, the estimation of individual socioeconomic status and demographic, and the real-time monitoring of emergent events. This review, together with pioneering works we have highlighted, will draw increasing interdisciplinary attentions and induce a methodological shift in future socioeconomic studies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
