News Finding: The group, from Stanford and ETH Zurich, says the algorithm, which could be implemented at virtually no cost, could help resource-constrained governments and resettlement agencies find the best places for refugees to relocate.
Paper Finding: It is also one of the most consequential in maximizing refugees' economic integration and self-sufficiency as a first step toward a more comprehensive integration into society (7) (8) (9) .
News Context: The algorithm assigned placements for refugees that they project would increase their chances of finding employment by roughly 40 to 70 percent compared with how the refugees actually fared, according to the new study in Science. The group, from Stanford and ETH Zurich, says the algorithm, which could be implemented at virtually no cost, could help resource-constrained governments and resettlement agencies find the best places for refugees to relocate. The group found that if the algorithm had selected locations for refugees' resettlement, the average employment rate among those refugees would have been roughly 41 percent higher.
Paper Context: This approach can provide governments with a practical and cost-efficient policy tool that can be immediately implemented within existing institutional structures. It is also one of the most consequential in maximizing refugees' economic integration and self-sufficiency as a first step toward a more comprehensive integration into society (7) (8) (9) . In addition, refugees with certain characteristics, such as language and educational skills, are more likely to succeed economically regardless of the resettlement location to which they are sent (Fig.