Exploring Big Data for Development - Mobile Data to Measure Multidimensional Poverty & Development Impact

01

INTRO

In Sudan, timely and frequent development planning, targeting, and progress monitoring suffer due to crucial gaps in the availability of up-to-date and reliable disaggregated data on poverty. To test the potential of Big Data to fill crucial datagaps hindering evidence-based policy decisions and monitoring, UNDP, with the Sudanese Central Bureau of Statistics, piloted a low-cost and nearly real-time alternative data collection method using Big Data on mobile phone usage as a proxy measure for poverty. Studies have shown that mobile phone call record attributes, extracted from Call Detail Records (CDR), show strong correlations with socio-economic variables and could be utilized as a proxy for poverty measures. For Sudan with its low national capacity and resources for traditional surveys to inform national progress and a context which suffers from protracted crisis due to internal conflict and high number of refugees from neighboring countries and the region, CDR offers a promising premise to measure proxy poverty.

SDGs

End poverty in all its forms everywhere
Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation
Strenghten the means of implementation and revitalise the global partnership for sustainable development

Methodolgies

New and Emerging Data

Countries

Sudan

Funded

Yes

Start Date

End Date

02

MULTIMEDIA

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