Can AI analysis of mobile data pinpoint areas of mass displacement?

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Yes, AI analysis of anonymised mobile phone data can help pinpoint areas of mass displacement during disasters.
A UN initiative called DISHA uses AI to analyse anonymised mobile phone data and identify mass-population movements when disasters occur. The analysis is designed to show where people are fleeing, so humanitarian organisations can tailor their response to the places where displaced people are going.
DISHA uses anonymised mobile phone data to detect displacement patterns
DISHA, a Data Insights for Social and Humanitarian Action initiative, works with humanitarian organisations using data and AI models to speed up disaster response. One DISHA project specifically applies AI analysis to anonymised mobile phone data to spot mass-population movements during disasters.
The output is used to determine where people are fleeing
The mobile-data analysis is used to determine where people are fleeing to during a disaster. This is presented as a way for humanitarians to better understand movement patterns rather than relying on slower or less targeted information.
The purpose is to help humanitarians tailor their response location-by-location
DISHA product lead Andreas Kortis said the goal is to provide accurate information early enough to support better decisions. The mobile-phone-data approach is framed as helping avoid sending aid to the wrong place when displaced people are in need somewhere else.

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Can AI analysis of mobile data pinpoint areas of mass displacement?

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