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Using AI and digital data to target cash transfers in Togo

Togo

Credit: Shrinidhi Takle, Flickr

Beginning in April 2020, CEGA co-Director Joshua Blumenstock began providing direct technical support to the government of Togo in response to the COVID-19 pandemic. In collaboration with Dean Karlan and Chris Udry from Northwestern University, Blumenstock’s team at the Data-Intensive Development Lab is using mobile phone and satellite data to help identify the country’s most vulnerable individuals and disburse cash transfers to them through the government’s flagship social protection program, Novissi.

Through Novissi, over 550,000 Togolese individuals have already received unconditional cash transfers of roughly $20/month (around a third of the minimum wage in Togo), delivered via mobile money directly to the beneficiary’s mobile phone. The Togolese government has been expanding the program to reach additional beneficiaries, with immediate plans to provide benefits to 50,000 additional rural households. The research team led by Blumenstock is helping the government identify those people with the greatest need for this humanitarian support.

The targeting technology that is driving this expansion is based on a series of research studies published by Blumenstock (1, 2, 3). It relies on using supervised learning methods, with make use of traditional household surveys as well as non-traditional digital data from satellites and mobile phones, to estimate the wealth of small villages and individual mobile subscribers.

Researchers
Partners
  • Government of Togo
Funding
Status

Active

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