Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12519
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dc.contributor.authorGroen, D-
dc.date.accessioned2016-04-18T15:45:41Z-
dc.date.available2016-04-18T15:45:41Z-
dc.date.issued2016-
dc.identifier.citationProcedia Computer Science, International Conference on Computational Science 2016 (ICCS 2016), 6-8 June 2016, San Diego, California, USA, 80: pp. 2251–2255, (2016)en_US
dc.identifier.urihttp://people.brunel.ac.uk/~csstddg-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12519-
dc.description.abstractThe challenge of understanding refugee movements is huge and affects countries worldwide on a daily basis. Yet, in terms of simulation, the challenge appears to have been largely ignored. I argue that we as researchers can, and should, harness our computational skills to better understand and predict refugee movements. I reflect on the computational challenges of modelling refugees, and present a simulation case study example focused on the Northern Mali Conflict in 2012. Compared to UNHCR data, the simulation predicts fewer refugees moving towards Mauritania, and more refugees moving towards Niger. This outcome aligns with UNHCR reports, which mention that unregistered refugees were known to reside outside of the official camps, though further investigations are required to rule out competing theories.en_US
dc.language.isoenen_US
dc.publisherElsevier-
dc.subjectModellingen_US
dc.subjectSimulationen_US
dc.subjectRefugeesen_US
dc.subjectMigrationen_US
dc.subjectAgent-based modellingen_US
dc.titleSimulating refugee movements: Where would you go?en_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.procs.2016.05.400-
pubs.publication-statusAccepted-
Appears in Collections:Dept of Computer Science Research Papers

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