Professor of Geographic Information Science
I develop geospatial big data and AI methods to understand human behaviour and build geographic intelligence for a sustainable planet — from air pollution and wildfires to climate, health, and cities.
王江浩
Research
My work sits at the intersection of geographic information science, computational social science, and Earth & environmental research.
Turning mobile-phone signalling, social-media, remote-sensing and human-mobility data into reliable, analysis-ready evidence — including principled methods for scaling and downscaling Earth-science and population data.
Quantifying at global scale how the environment — air pollution, extreme heat, wildfire smoke, and even urban night light — shapes human sentiment, mobility, health and well-being, and revealing who bears the greatest burden.
Deep learning, foundation models and “intelligent geography” for prediction, mapping and decision support across climate, public health, wildfire risk and urban sustainability.
Selected projects
Three research programmes at the heart of my recent work. See all projects on the projects page.
Selected work
Twelve representative papers — most as first or corresponding author — in Nature Human Behaviour, Nature Health, Nature Cities, Science Advances, One Earth, Nature Communications and PNAS. See the full list of 100+ publications.
