A BIG DEAL: How can we use big data to measure poverty in Sudan?

12 Jan 2016

Anisha Thapa, in collaboration with Miguel Luengo – Oroz, Anne Kahl, Abdalatif Hassan, Jennifer Colville and Vasko Popovski As development practitioners in Sudan, we are facing a major challenge in effectively managing our programmes:  the generation of reliable data to regularly monitor development impact, in particular related to changes in household poverty. As part of the cross regional initiative on big data for development exploration, UNDP Sudan is now working to explore how new sources of data can measure key development indicators. As many other countries, Sudan faces multiple challenges in acquiring frequent and adequate data to assess situation changes and measure implementation of development programmes. Household surveys and censuses are expensive, time consuming, and demand elaborate processes and resources for data collection and analysis. In addition, the intensification of armed conflict in many parts of the country hinder accessibility to these areas for data collection through traditional methods. Timely measurement of indicators, such as poverty thereby suffers, resulting in data gaps that negatively affect efficient adjustments to development interventions and programming.   Electricity and lights at night as proxies for poverty: What we found? With support from UNDP and UN Global Pulse partnership on big data for development spanning across … Read more

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