  The increasing data availability and imported analyzing tools from computer
science and physical science have sharply changed traditional methodologies of
social sciences, leading to a new branch named computational socioeconomics
that 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.
