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.

中文翻译：

---

计算社会经济学

揭示社会经济系统的结构，及时评估社会经济地位，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。在这篇综述中，我们将对一个名为计算社会经济学的新跨学科研究领域做一个简短的宣言，然后详细介绍数据资源、计算工具、数据驱动方法、理论模型和多分辨率的新应用，包括全球的量化。经济不平等和复杂性，区域产业结构和城市认知图，个人社会经济地位和人口统计，以及对突发事件的实时监控。这篇综述，连同我们强调的开创性工作，将引起越来越多的跨学科关注，并引发未来社会经济研究的方法论转变。