WANG Jing

Researcher of Comparative Ecology of Cities

Jing joined the module of Comparative Ecology of Cities as a researcher in 2023. In the module, she investigates urban forms in multiple layers (e.g. landscape, building, street) across dozens of cities globally, and studies the relationship between urban forms and the socio-economic performances of cities. She also contributes to the quantitative analysis of pattern-process-function loops in urban ecology systems.

Before starting this position, Jing worked on using machine learning (unsupervised learning, computer vision, and contrastive learning) for mining latent information in graphic urban morphology. Her research interests include spatial representation learning, GeoAI, urban economics, and urban ecosystems.