Placement Optimization in Refugee Resettlement
In a recently published paper, Professor Tommy Andersson, Affiliated Professor at
Department of Economics, together with co-authors developed an innovative software tool, Annie™ Moore, integrating machine learning and integer optimization to support a US resettlement agency with their matching operations.
By Narges Ahani, Tommy Andersson, Alessandro Martinello, Alexander Teytelboym, Andrew C. Trapp
The increasing number of refugees in need of resettlement, and a growing body of literature supporting the relevance of initial placement as a determinant of their long run outcomes, makes the question of how to optimize resettlement decision extremely salient. The the paper "Placement Optimization in Refugee Resettlement" the authors developed an innovative software tool, Annie™ Moore, integrating machine learning and integer optimization to support a US resettlement agency with their matching operations. Abstract presented below.
