Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32435
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGroen, D-
dc.contributor.authorSuleimenova, D-
dc.contributor.authorXue, Y-
dc.contributor.authorHarbach, L-
dc.contributor.authorUnited Nations High Commissioner for Refugees (UNHCR)-
dc.date.accessioned2025-12-03T16:33:06Z-
dc.date.available2025-12-03T16:33:06Z-
dc.date.issued2025-07-09-
dc.identifierORCiD: Derek Groen https://orcid.org/0000-0001-7463-3765-
dc.identifierORCiD: Diana Suleimenova https://orcid.org/0000-0003-4474-0943-
dc.identifierORCiD: Yani Xue https://orcid.org/0000-0002-7526-9085-
dc.identifier.citationGroen, D. et al. (2025) Forecasting refugee return to Ukraine amid ongoing war and uncertainty. Geneva: United Nations, pp. 1 - 14. Available at: https://data.unhcr.org/en/documents/download/117421 (accessed: 26 November 2025).en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/32435-
dc.descriptionThe development of the agent-based modelling prototype is led by the Department of Computer Science, Brunel University of London. The forecasts in this report were made using the SEAVEA toolkit and the ARCHER2 supercomputer at EPCC in Edinburgh, UK.en_US
dc.descriptionUNHCR Policy Brief available online at: https://data.unhcr.org/en/documents/details/117421 .-
dc.description.abstractDespite the ongoing war, the Government of Ukraine and its international partners are dedicating increasing focus on national recovery—and the policies, reforms and investments needed to rebuild. Forced displacement is massive, with nearly a quarter of the pre-war population having fled their homes, including some 5.6 million refugees and more than 3.7 million internally displaced. Gaining a comprehensive understanding of the scope of return — including the socio-economic characteristics of who is likely to return, under what conditions, to which parts of the country, and the subsequent programmes, services and support required to ensure sustainability of returns — is critical to ensuring an equitable recovery that leaves no one behind. Building on successive rounds of intentions surveys undertaken among the Ukrainian refugee population in European host states, UNHCR partnered with Brunel University of London to develop an innovative agentbased modelling prototype to forecast potential returns under five different hypothetical scenarios. Guided by an informal advisory group of technical experts from international financial institutions, regional institutions and development actors, Ukraine’s Ministry of Economy and the Kyiv School of Economics, the model provides key insights into a range of factors that will likely influence future return trends and subsequent recovery needs in different oblasts across Ukraine, in accordance with five plausible future scenarios. The results outlined in this brief are simulated based on a scenario of ‘fragile peace’ with concessions. The prototype can produce simulations relating to five different, defined scenarios, simulating variations in expected return trends.en_US
dc.description.sponsorshipUnited Nations High Commissioner for Refugees grant ref: RBE_001_2025: Fine-Tuning the Ukraine Energy-driven Displacement Prototype.-
dc.format.extent1 - 14-
dc.language.isoen_USen_US
dc.publisherUnited Nations High Commissioner for Refugees (UNHCR)en_US
dc.rightsCreative Commons Attribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.source.urihttps://data.unhcr.org/en/documents/download/117421-
dc.source.urihttps://data.unhcr.org/en/documents/details/117421-
dc.subjectUkraine-
dc.subjectRefugees-
dc.titleForecasting refugee return to Ukraine amid ongoing war and uncertaintyen_US
dc.typeWorking Paperen_US
dc.date.dateAccepted2025-06-01-
pubs.confidentialfalse-
pubs.confidentialfalse-
pubs.publication-statusPublished-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2025-06-01-
dc.rights.holderThe Author(s) / United Nations-
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2025 The Author(s) / United Nations. This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).3.38 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons