Sean Horgan

Machine learning that helps refugees resettle

Great article in a recent issue of

Science⁠

Bansak et al. used a machine learning approach to develop an algorithm for geographically placing refugees to optimize their overall employment rate. The authors developed and tested the algorithm on segments of registry data from the United States and Switzerland. The algorithm improved the employment prospects of refugees in the United States by ∼40% and in Switzerland by ∼75%.

Below is a chart showing refugee employment at 90 days and their personal characteristics (pooled across all locations):

I’d like to better understand why refugees from Iraq faired worse than others and if it’s possible to identify recipients of the

Special Immigrant Visa Program⁠

⁠

I’d like to better understand why refugees from Iraq faired worse than others and if it’s possible to identify recipients of the

Special Immigrant Visa Program⁠

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