Using Big Data to diagnose poverty in Senegal

Combining disparate data sources for improved poverty prediction and mapping

Big data makes poverty maps more accurate - Futurity

Accurate intercensal estimates of energy access to track Sustainable Development Goal 7, EPJ Data Science

Senegal Country Assessment Report

Five Findings from a New Phone Survey in Senegal, Center For Global Development

Combining disparate data sources for improved poverty prediction and mapping

Senegal, selected health financing indicators, 2009-2017

Sylvain Merlen (UNDP) • 2019 IFPRI Egypt - UNDP Seminar Measuring poverty and food security in Egypt

Combining disparate data sources for improved poverty prediction and mapping

Combining disparate data sources for improved poverty prediction and mapping

Big Data for improved diagnosis of poverty: A case study of Senegal

IFPRI-Bangladesh Are Women Breaking the Poverty Trap? Changes in Poverty, Income, and Women's Empowerment in Southwestern Bangladesh

Big Data in the Philippines: How do we actually use them? - IOS Press

Integrating big data into the monitoring and evaluation of development programmes