Refugee Resettlement

November–December 2024
Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details

Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment

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October 2023
Article

Matching Mechanisms for Refugee Resettlement

By: David Delacrétaz, Scott Duke Kominers and Alexander Teytelboym

Current refugee resettlement processes account for neither the preferences of refugees nor the priorities of hosting communities. We introduce a new framework for matching with multidimensional knapsack constraints that captures the (possibly multidimensional) sizes of... View Details

Keywords: Refugee Resettlement; Matching; Matching Markets; Matching Platform; Matching With Contracts; Algorithms; Refugees; Market Design

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2016
Working Paper

By: David Delacretaz, Scott Duke Kominers and Alexander Teytelboym

Over 100,000 refugees are permanently resettled from refugee camps to hosting countries every year. Nevertheless, refugee resettlement processes in most countries are ad hoc, accounting for neither the priorities of hosting communities nor the preferences of refugees... View Details

Keywords: Refugees; Marketplace Matching; Mathematical Methods

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