This project aims to develop analytical methods to monitor public opinions towards immigration using Twitter data and machine learning.
This project aims to generate annual country-to-country migration estimates across the world.
The project aims to generate fundamental and timely evidence for how misinformation and fake news spreads across media platforms.
This project aims to measure and analyse the evolution of spatial inequality across the world using remote sensing.
This project aims to investigate how the educational and employment trajectories of immigrants and their children in the UK evolve and interact; and, how factors related to their residential environment, early life context and critical life transitions shape these trajectories between 1991-2017.
The project aims to develop and employ analytical approaches to measure the evolution of cities using machine learning and satellite imagery.
The project aims to establish the start and pace of the migration decline in 18 European countries.