Geospatial Data Science integrates geography, data science, and computer science to advance understanding of natural environments, human–nature interactions, and the Earth’s climate system. Our globally recognised team generates, processes, maps, analyses, and shares wall-to-wall global satellite products and socioeconomic datasets. Using physical modelling, advanced machine/deep learning, digital twins, and cloud services, we address pressing challenges in environmental chan

This theme tackles the most pressing human–environment challenges of the 21st century: global climate change, carbon-neutrality pathways, urban/rural landscape transformation, and the sustainability of the Earth’s water, air, carbon, and food systems. Combining field observation, laboratory experiments, model simulations, remote sensing, and AI-driven analytics, we translate research into feasible, cost-effective pathways for environmental protection. Research Strategic Areas

Rooted in human geography, this theme draws on urban planning, critical theory, sociology, economics, and geospatial analytics. We examine the socio-spatial processes of the global urban revolution, with particular attention to China and the Global South. Research generates practical policy insights and theoretical innovation to solve contemporary problems of urban inequality, social cohesion, cultural identity, mobility, and state–society relations. Research Strategic Areas