Big Data: 33,782 refugees


33,782: That’s the number of refugees, resettled in the United States between 2011 and 2016, whose information was fed into a machine-learning algorithm at Stanford’s Immigration Policy Lab. It was part of an effort to better understand why some refugees flourish and others falter when they land in a new nation. Data from refugees resettled in Switzerland was also included. The results, published in the journal Science, suggest that since a variety of factors determine successful resettlement, including education and language abilities, algorithm-assigned placements could increase refugees changes of finding a job by 40 to 70 percent compared with the current system.