Joshua Blumenstock, 01 October 2021

There is often an urgent need for humanitarian assistance in low-income countries. But how can it be targeted efficiently and quickly? Joshua Blumenstock tells Tim Phillips how, in Togo, a combination of machine learning and mobile phone data dramatically increased the effectiveness of Covid assistance.

Read more about the research discussed and download the free discussion paper:

Aiken, E, Bellue, S, Blumenstock, J, Karlan, D and Udry, C. 2021. 'Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance'. CEPR

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