Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …

Background Identifying urban deprived areas, including slums, can facilitate more targeted
planning and development policies in cities to reduce socio-economic and health inequities …

Abstract In June 2015, about 53,000 people were affected by unusually severe floods in
Accra, Ghana. The real impact of such a disaster is a product of exposure (“Who was …

Reliable data on slums or deprived living conditions remain scarce in many low-and middle-
income countries (LMICs). Global high-resolution maps of deprived areas are fundamental …

The insurgence of neoliberal policies in urban planning has resulted in extreme urban
inequalities, featured in the proliferation of slums in developing countries. Yet the …

Among other focus areas, the global Sustainable Development Goals (SDGs) 3 and 11 seek
to advance progress toward universal coverage of maternal, neonatal, and child health …

This paper focuses on finding answers to the reasons why people keep living in the slums
and why they cannot get out of their precarious conditions. This paper looks into different …

Population living in deprived areas continues to grow, highlighting the urgent need for
accurate high-resolution maps and granular statistics to plan interventions and monitor …

The team considers that the framework developed in the World Development Report (WDR)
2011, Conflict, Security, and Development, is the most suited to addressing development …

This dissertation provides new insights on immediate factors affecting multidimensional
poverty in Benin. Ordered probit and fractional probit models are compared to the random …