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EU Border technologies and the co-production of security 'problems' and 'solutions'
Malmö University, Faculty of Culture and Society (KS), Department of Global Political Studies (GPS). Peace Research Institute Oslo, Oslo, Norway.ORCID iD: 0000-0002-0648-3627
Peace Research Institute Oslo, Oslo, Norway.
2022 (English)In: Journal of ethnic and migration studies, ISSN 1369-183X, E-ISSN 1469-9451, Vol. 48, no 6, p. 1430-1447Article in journal (Refereed) Published
Abstract [en]

This article contributes to an understanding of how expert technological knowledge impacts the security-migration management nexus at the EU borders. It argues that recent migration flows augmented pre-existing dynamics of growing reliance upon technology in EU border management. These dynamics are assessed through a study of the way emerging technologies, in particular Unmanned Aerial Vehicles (UAV, commonly known as drones), and specific information and surveillance technologies installed on them, have become increasingly understood as crucial for the management of migration into the EU. The article synthesises securitisation theory with Science and Technology Studies to show, first, how the values reflected in border technologies often encapsulate a securitised understanding of the migrant, and second, how the migrants arriving in Europe have been characterised as both potential security threats and as individuals in need of rescue and protection. These frames trigger securitisation dynamics that portray the migration issue as amenable to state-of-the-art technology. In this logic, security 'problems' and security 'solutions' are co-produced within a complex multi-layered network of public and private actors.

Place, publisher, year, edition, pages
Routledge, 2022. Vol. 48, no 6, p. 1430-1447
Keywords [en]
Technology, border management, European Union, securitisation, expertise, drones
National Category
International Migration and Ethnic Relations
Identifiers
URN: urn:nbn:se:mau:diva-39054DOI: 10.1080/1369183X.2020.1851470ISI: 000599663600001Scopus ID: 2-s2.0-85097812318OAI: oai:DiVA.org:mau-39054DiVA, id: diva2:1516466
Available from: 2021-01-12 Created: 2021-01-12 Last updated: 2023-10-24Bibliographically approved

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Martins, Bruno Oliveira

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