The increasing availability of data sources and analysis tools borrowed from computer science and physical science have sharply changed traditional methodologies of social sciences, leading to a new branch named computational socioeconomics, which studies various phenomena in socioeconomic development by using quantitative methods based on large-scale real-world data. Sited on recent publications, this perspective will introduce three representative methods: (i) natural data analyses, (ii) large-scale online experiments, and (iii) integration of big data and surveys. This perspective ends up with in-depth discussion on the limitations and challenges of the above-mentioned emerging methods.

从计算机科学和物理科学中借用的数据源和分析工具的可用性不断增加，极大地改变了社会科学的传统方法，导致了一个名为计算社会经济学的新分支，它通过基于大规模数据的定量方法研究社会经济发展中的各种现象。真实世界的数据。该观点基于最近的出版物，将介绍三种具有代表性的方法：(i) 自然数据分析，(ii) 大规模在线实验，以及 (iii) 大数据与调查的整合。这种观点最终会深入讨论上述新兴方法的局限性和挑战。