王江浩
Jianghao Wang, IGSNRR · CAS
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.
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 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.
News
New paper in Nature Health quantifying the global health benefits and cost-effectiveness of indoor air purification.
New paper in Nature Cities showing how wavelength-specific urban nighttime light modulates expressed sentiment across cities.
New study in One Earth on the unequal impacts of rising temperatures on global human sentiment.
Paper in Nature Communications projecting future heat-related mortality in Europe under compound day-night heatwaves.
Published in Science Advances on global disparities in indoor wildfire-PM2.5 exposure and mitigation costs.