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Placement Optimizat...
Placement Optimization in Refugee Resettlement
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- Ahani, Narges (författare)
- Worcester Polytechnic Institute
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- Andersson, Tommy (författare)
- Lund University,Lunds universitet,Nationalekonomiska institutionen,Ekonomihögskolan,Department of Economics,Lund University School of Economics and Management, LUSEM
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- Martinello, Alessandro (författare)
- Danmarks Nationalbank
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- Teytelboym, Alexander (författare)
- University of Oxford
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- Trapp, Andrew C. (författare)
- Worcester Polytechnic Institute
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(creator_code:org_t)
- Institute for Operations Research and the Management Sciences (INFORMS), 2021
- 2021
- Engelska.
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Ingår i: Operations Research. - : Institute for Operations Research and the Management Sciences (INFORMS). - 0030-364X .- 1526-5463. ; 69:5, s. 1468-1486
- Relaterad länk:
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http://dx.doi.org/10...
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https://ora.ox.ac.uk...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Every year, tens of thousands of refugees are resettled to dozens of host countries. Although there is growing evidence that the initial placement of refugee families profoundly affects their lifetime outcomes, there have been few attempts to optimize resettlement decisions. We integrate machine learning and integer optimization into an innovative software tool, Annie™ Matching and Outcome Optimization for Refugee Empowerment (Annie™ Moore), that assists a U.S. resettlement agency with matching refugees to their initial placements. Our software suggests optimal placements while giving substantial autonomy to the resettlement staff to fine-tune recommended matches, thereby streamlining their resettlement operations. Initial back testing indicates that Annie™ can improve short-run employment outcomes by 22%–38%. We conclude by discussing several directions for future work.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Nationalekonomi (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Economics (hsv//eng)
Nyckelord
- refugee resettlement
- matching
- integer optimization
- machine learning
- humanitarian operations
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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