Using Data Science to Combat Poverty

This article presents how researchers at Empa are applying data science to fight poverty. By analysing complex socio-economic indicators and geospatial data, their models identify hidden patterns of deprivation and inform targeted interventions. The blog emphasises the importance of accurate, disaggregated data to design inclusive social policies and resource allocations. It showcases real-world examples of how data can support governments and organisations in anticipating needs, directing funding, and evaluating programme outcomes for poverty reduction.