Using satellite imagery to measure the evolution of cities
Sustainable urban habitats are a key component of global challenges, and efficient management and planning of cities are pivotal to all 17 UN SDGs. Over 90% of projected urban growth by 2050 will occur in less developed countries. Prior work on urbanisation has identified the benefits of agglomeration and improvements in health and education, which tend to outweigh the costs of congestion, pollution and poverty. Yet research has focused on Western cities: urban areas with high-income, in developed countries. Much less is known about urban habitats in less developed countries. This project aims to improve our understanding of urban areas levearing on large scale satellite imagery and machine learning.
- The occupational trajectories and outcomes of forced migrants in Sweden. Entrepreneurship, employment or persistent inactivity?
- Sensing global patterns and trajectories of socio-economic inequality
- Understanding and Predicting the Long-term Labour Market and Migration Trajectories of Immigrants and Their Children in the United Kingdom
- The returns to migration and human capital accumulation pathways. non-metropolitan youth in the school-to-work transition
- Population Data Science