News Finding: In the US, chances of finding work rose to 50% with the algorithm, for the median refugee.
Paper Finding: Finally, the expected employment returns associated with personal characteristics can vary across different resettlement locations (Fig.
News Context: But by weighing in specific details about the refugees and the communities where they are headed, the algorithm can place them where their skills are the most marketable. In the US, chances of finding work rose to 50% with the algorithm, for the median refugee. Location Actual With algorithm 1 0% 75% 2 0% 4% 3 0% 10% 4 0% 15% 5 0% 36% 6 6% 62% 7 6% 59% 8 9% 39% 9 9% 54% 10 17% 20% 11 21% 52% 12 21% 47% 13 24% 43% 14 25% 47% 15 26% 31% 16 26% 41% 17 28% 12% 18 29% 41% 19 29% 42% 20 31% 70% 21 31% 65% 22 32% 46% 23 38% 35% 24 40% 76% 25 40% 42% 26 48% 71% 27 48% 58% 28 48% 69% 29 50% 48% 30 50% 40% 31 50% 86% 32 52% 44% 33 56% 58% 34 62% 69% 35 93% 62%
  
  In Switzerland, the algorithm would have increased refugees' employment chances to 26% from 15%.
Paper Context: 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. Finally, the expected employment returns associated with personal characteristics can vary across different resettlement locations (Fig. This indicates that there are synergies between places and people; certain characteristics will make a refugee a better match for a particular location.