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Predicting irregular migration

  • German and European migration policy operates in permanent crisis mode. Sudden increases in irregular immigration create a sense of loss of control, which is instrumentalised by populist forces. This has generated great interest in quantitative migration predictions. High expectations are placed in the AI-based tools currently under devel­op­ment for forecasting irregular migration. The potential applications of these tools are manifold. They range from managing and strengthening the EU's reception capacity and border protections to configuring humanitarian aid provision and longer-term planning of development programmes. There is a significant gap between the expectations placed in the new instruments and their practical utility. Technical limits exist, medium-term forecasts are methodologically implausible, and channels for feeding the results into political decision-making processes are lacking. The great demand for predictions is driven by the political functions of migration prediction, which include its uses inGerman and European migration policy operates in permanent crisis mode. Sudden increases in irregular immigration create a sense of loss of control, which is instrumentalised by populist forces. This has generated great interest in quantitative migration predictions. High expectations are placed in the AI-based tools currently under devel­op­ment for forecasting irregular migration. The potential applications of these tools are manifold. They range from managing and strengthening the EU's reception capacity and border protections to configuring humanitarian aid provision and longer-term planning of development programmes. There is a significant gap between the expectations placed in the new instruments and their practical utility. Technical limits exist, medium-term forecasts are methodologically implausible, and channels for feeding the results into political decision-making processes are lacking. The great demand for predictions is driven by the political functions of migration prediction, which include its uses in political communication, funding acquisition and legitimisation of political decisions. Investment in the quality of the underlying data will be more productive than developing a succession of new prediction tools. Funding for applications in emergency relief and development cooperation should be prioritised. Crisis early warning and risk analysis should also be strengthened and their networking improved.show moreshow less

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Metadaten
Author details:Steffen Angenendt, Anne Koch, Jasper TjadenORCiDGND
DOI:https://doi.org/10.18449/2023RP11
ISSN:2747-5123
ISSN:1863-1053
Title of parent work (English):high hopes, meagre results
Subtitle (English):SWP research paper
Publisher:Stiftung Wissenschaft und Politik (SWP)
Place of publishing:Berlin
Publication type:Working Paper
Language:English
Year of first publication:2023
Publication year:2023
Release date:2024/07/30
Tag:Agentenbasierte Modellierung; Krisenfrüherkennung; Künstliche Intelligenz; Migration; Migrationspolitik; Risikoanalyse; Vorausschau; Vorhersage; Wanderungsprognosen; maschinelles Lernen
Common Integrated Risk Analysis Model (CIRAM); Emergency Response Coordination Centre (ERCC); Frontex; Frontex Risk Analysis Network (FRAN); IOM; Pact on Migration and Asylum; UNHCR; displacement forecasting; forecast; predicting irregular migration; quantitative migration prediction
Volume:11
Number of pages:36
Organizational units:Wirtschafts- und Sozialwissenschaftliche Fakultät / Sozialwissenschaften / Fachgruppe Soziologie
DDC classification:3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften
3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Peer review:Referiert
Publishing method:Open Access / Bronze Open-Access
License (German):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
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