News Finding: 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.
Paper Finding: Various mapping functions can be used.
News Context: In 2016 alone, about 65.6 million people were forced to flee their homes. 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.
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.