News Finding: In the US, chances of finding work rose to 50% with the algorithm, for the median refugee.
Paper Finding: Various mapping functions can be used.
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: A separate model was fit for subgroups of refugees assigned to each location, thus yielding different models for each location and allowing for the discovery of refugee/location synergies. Various mapping functions can be used. Our preferred case-level metric was the predicted probability that at least one refugee in the case would find employment at the location in question.