# Computational Socioeconomics

## TL;DR

Computational Socioeconomics is an emerging interdisciplinary field that leverages data-driven methods and computational tools to analyze socioeconomic systems, estimate statuses, and monitor economic and social phenomena at multiple scales.

## Contribution

This review introduces the new field of Computational Socioeconomics, detailing data sources, methods, models, and applications, and advocates for a methodological shift in socioeconomic research.

## Key findings

- Quantification of global economic inequality and complexity
- Mapping regional industrial structures and urban perceptions
- Real-time monitoring of emergent socioeconomic events

## Abstract

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.