Climate change is pushing rural populations in Bangladesh towards urban centres, as factors such as floods, droughts, cyclones, water salination and soil degradation impact rural livelihoods. Urban cities frequently lack adequate infrastructure to support large numbers of unplanned-for migrants, leading to overpopulation, unemployment, inadequate housing, and food insecurity. Periodic surveys and census are unable to give an accurate picture of the dynamic, fast-moving nature of rural to urban migration and its impacts on urban poverty. Fahim Shahriar at the University of Chittagong, working with researchers at the University of Dhaka, will use machine learning to analyse large datasets in order to measure the correlation between urban migration and urban poverty in real time. The team will also examine the socio-economic and environmental factors that influence vulnerability to poverty and the adaptation strategies employed by migrants living in urban slums. The findings will help policymakers design targeted interventions to mitigate the adverse effects of migration-driven urban poverty.