News Finding: "Our approach preserves the ability of policy-makers to set their own parameters and priorities," the researchers write.
Paper Finding: Our algorithm is flexible and can accommodate multiple criteria and constraints.
News Context: A simple change
  
  The researchers are not advocating for the algorithm to replace the decision-making of resettlement officials. "Our approach preserves the ability of policy-makers to set their own parameters and priorities," the researchers write. "For instance, in a computer-assisted assignment process, the algorithm might provide several recommendations, and placement officers could use their own discretion to determine the final assignment or override any suggestions."
Paper Context: 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. Our algorithm is flexible and can accommodate multiple criteria and constraints. For the algorithm to obtain reliable predictions, it is important that the historical assignment process not be determined by unobserved refugee characteristics.