Refugee resettlement via machine learning and integer optimization

Andrew C. Trapp, Alexander Teytelboym, Narges Ahani, Tommy Andersson

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

Around 100,000 refugees are resettled to dozens of countries from conflict zones every year. While there is growing evidence that the initial placement of refugee families profoundly affects their lifetime outcomes, there have been few attempts to optimize resettlement destinations within host countries. We describe how machine learning and integer optimization can be used to empower resettlement agencies to drastically improve refugee employment outcomes. We describe possible future work on multi-objective optimization, the dynamics of allocation, and the inclusion of refugee preferences.

Originalspråkengelska
Titel på värdpublikationOR60
Undertitel på värdpublikationThe OR Society Annual Conference
RedaktörerAhmed Kheiri
FörlagOR Society
Sidor21-26
Antal sidor6
ISBN (elektroniskt)9780903440646
StatusPublished - 2018
Evenemang60th Annual Conference of the Operational Research Society, OR 2018 - Lancaster, Storbritannien
Varaktighet: 2018 sep. 112018 sep. 13

Konferens

Konferens60th Annual Conference of the Operational Research Society, OR 2018
Land/TerritoriumStorbritannien
OrtLancaster
Period2018/09/112018/09/13

Ämnesklassifikation (UKÄ)

  • Statsvetenskap (exklusive studier av offentlig förvaltning och globaliseringsstudier)
  • Systemvetenskap, informationssystem och informatik

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