Abstract
We develop an agent based model to characterize the wellbeing of newcomers (i.e. asylum seeking refugees) in the context of asylum logistics using Schwartz's theory of values. The model produces recommendations for decision-makers with respect to avoiding catastrophic outcomes and maximizing best case outcomes. We conduct analysis to show that while a relatively simple set of conditions is necessary to avoid catastrophic outcomes, these conditions are insufficient to maximize the best case outcomes. Furthermore, the conditions that maximize one best case outcome do so at the expense of another. The result is a platform for decision-makers to understand tradeoffs in policies for government and non-government organizations.
Original language | English |
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Title of host publication | 2019 Spring Simulation Conference, SpringSim 2019 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 12 |
ISBN (Electronic) | 978-1-5108-8388-8 |
DOIs | |
Publication status | Published - 1 Apr 2019 |
Event | 2019 Spring Simulation Conference, SpringSim 2019 - Tucson, United States Duration: 29 Apr 2019 → 2 May 2019 |
Publication series
Name | Simulation Series |
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Number | 1 |
Volume | 51 |
ISSN (Print) | 0735-9276 |
Conference
Conference | 2019 Spring Simulation Conference, SpringSim 2019 |
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Country/Territory | United States |
City | Tucson |
Period | 29/04/19 → 2/05/19 |
Funding
This work is part of the research program Responsible Innovation with project number MVI.16.011, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO).
Keywords
- Agent-based model
- Humanitarian logistics
- Refugees
- Schwartz values
- Simulation and policy