Recent work by Emily Aiken
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When should big data and algorithms be used to determine programme eligibility?
Although machine learning models using mobile phone data can make poverty targeting faster and more cost-effective, traditional survey-based methods remain more accurate. The optimal approach therefore depends on striking the right balance between co...
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Measuring poverty using mobile phone data: Implications for targeting and impact evaluation
In settings where reliable data on poverty is difficult to come by, non-traditional data sources such as mobile phone metadata has the potential to fill data gaps. New research on a cash transfer programme in Togo reveals that mobile phone data enabl...