This paper examines the feasibility of using satellite imagery and artificial intelligence to develop an efficient and cost-effective way to determine and predict the condition of roads in the Asia and Pacific region.
This brief identifies key elements for capitalizing on administrative data sources to monitor development indicators on labor and employment, with examples of initiatives in selected countries in Asia and the Pacific.
This study outlines a computational framework to enhance the spatial granularity of government-published poverty estimates, citing data from the Philippines and Thailand.
This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial distribution of poverty in Thailand.
This publication examines the ability and readiness of national statistical agencies in Asia and the Pacific to use big data to monitor progress toward the Sustainable Development Goals.
This publication provides insights to help develop methodological guidelines on collecting sex-disaggregated data about asset ownership.
Natural disasters may cause suffering and threaten life, but they can also promote economic growth.
The Philippines has experienced rapid economic growth over the past decade. However, the benefits of economic expansion have not resulted to significant poverty reduction.
This paper identifies key determinants of individual, school, and quality of education outcomes and examines related policies, strategies, and project interventions to recommend reforms or possible reorientation.