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Skill Matching for Migrant Guidance Based on AI Tools

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Information and Communications Technology in Support of Migration

Part of the book series: Security Informatics and Law Enforcement ((SILE))

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Abstract

Nowadays, information and communication technologies (ICTs) actively support facing different challenges in the migration context, especially by providing different solutions to guide and foster the inclusion process. In this context, AI-based tools can close the gap between the user’s (migrant’s) needs and the existing opportunities. The use of an AI approach for providing advanced services can be considered as a step forward in ICT-based migration support. All data can be used to create advanced profiling of users, projecting it into a subspace that can be used for the prediction of the optimal matching with opportunities provided by local authorities and, finally, creating simple and customised recommendations and actions for the most adequate solutions. This chapter delves into the use of skill-matching technologies for supporting the migrant inclusion process by providing efficient AI-based solutions for specific procedures.

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Notes

  1. 1.

    https://www.cedefop.europa.eu/es/events-and-projects/projects/european-qualifications-framework-eqf

  2. 2.

    www.rebuildeurope.eu

  3. 3.

    https://ec.europa.eu/esco/portal

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Funding

The REBUILD project is funded by EU Horizon 2020, grant number 822215. However, the opinions expressed herewith are solely of the authors and do not necessarily reflect the point of view of any EU institution.

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Correspondence to Silvia Uribe .

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Uribe, S., Hernández, G., Belmonte, A., Martín, D. (2022). Skill Matching for Migrant Guidance Based on AI Tools. In: Akhgar, B., Hough, K.L., Abdel Samad, Y., Saskia Bayerl, P., Karakostas, A. (eds) Information and Communications Technology in Support of Migration. Security Informatics and Law Enforcement. Springer, Cham. https://doi.org/10.1007/978-3-030-93266-4_12

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  • DOI: https://doi.org/10.1007/978-3-030-93266-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93265-7

  • Online ISBN: 978-3-030-93266-4

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