The digital economy is transforming how data is collected, processed and used for evidence-based decisions to monitor and achieve the Sustainable Development Goals. Promising new methods that combine traditional household survey data with non-traditional data sources (such as mobile phone data, satellite data and text data) are creating opportunities to map poverty at a higher resolution and scale. Nonetheless, significant technical, practical and ethical challenges still hamper the operationalization of these methods.
Making a better poverty map
“The careful combination of ground truth surveys with an abundance of big data increases—not decreases—the value of surveys.”
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