News Finding: Machine learning improves refugee integration 
Paper Finding: This indicates that there are synergies between places and people; certain characteristics will make a refugee a better match for a particular location.
News Context: Machine learning improves refugee integration 
Paper Context: 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. In Switzerland, for example, we find that the ability to speak French (i.e., among French-speaking African refugees) results in a larger payoff for refugees assigned to Frenchspeaking cantons than for those assigned to German-speaking cantons ( fig.