Online Materials
Prefecture-level AI Development Tracker
中国市级地区智能水平追踪
Interactive visualization tracking AI development levels across 298 prefecture-level cities in China, 2000–2023 based on firms and business with AI keywords
Cite as
Yang, Xiaozhao Y., & Huang, Jingzhu. (2026). Prefecture-level AI development tracker (中国市级地区智能水平追踪) [Interactive data visualization]. https://yousefyang.github.io/china-ai-visualization.html
Stochastic Drift Simulator
Demonstrates how random demographic processes in small communities can produce systematic health gradients — without selection or causal drivers. Educational tool for sociological theory.
Network Scale-Up Method
R code for estimating religious populations using the network scale-up method — a practical alternative to self-report surveys.
Yang, X. Y., & Yang, F. (2017). Estimating religious populations with the network scale‐up method. Journal for the Scientific Study of Religion, 56(4), 703–719.
China Gen-Z Health Behavior Survey
Multistage complex survey of adolescents and young adults aged 15–28 across four regions of China (2022–2023). Sample design and sampling manual available for download.