Haitian refugees await breakfast at an immigrant center on September 24, 2016 in Tijuana, Mexico. In recent months a surge of Haitian refugees has arrived in Tijuana, seeking asylum at the border crossing into the United States. (Credit: John Moore/Getty Images)
As the world faces its largest crisis of displaced people since World War II, a new algorithm could help countries resettle refugees in a way that boosts their employment success and overall integration.
Researchers used a machine-learning algorithm to analyze historical data on refugee resettlement in the United States and Switzerland. They found that the refugees’ eventual economic self-sufficiency depended on a combination of their individual characteristics, such as education level and knowledge of English, and where they were resettled within the country. It turned out that refugees with particular backgrounds or skills achieved better outcomes in some locations than others.