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Extract, Datafy and Disrupt

Refugees' Subjectivities between Data Abundance and Data Disregard

Bibliographic Data

ID3948369
AuthorsMartina Tazzioli (0000-0003-0866-7611, Goldsmiths University of London, corresponding author)
Year2022
Volume27
Issue1
Pages70-88
Publication date2022-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGeopolitics (JOURNAL)
Journal identifiersISSN: 1465-0045 • E-ISSN: 1557-3028
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/14650045.2020.1822332
OpenAlexW3090204672
LanguageEN
Citations received25
References cited33

This paper deals with data extraction and data circulation that are at stake in refugee governmentality with a focus on the Cash Assistance Programme in Greece. It focuses on the data extraction activities which are part of the cash Assistance Programme and on the ways in which data is shared and not shared among the actors involved. It starts by critically engaging with debates on techno-humanitarianism in refugee governmentality, and it moves on by drawing attention to the constitutive dynamics between data abundance and data disregard. Then, it analyses the extent to which different actors can access and act upon the data. The second part of the article centres on the peculiar modes of subjectivation that asylum seekers are shaped by, as cards beneficiaries and techno-users. It shows that asylum seekers are both passive surfaces of data extraction and, at the same time, are object of a request to speak and to produce data and feedback about their use of the card. The paper concludes with a section about the injunction imposed on asylum seekers to act as autonomous and responsible techno-users and, at the same time, to comply with multiple spatial restrictions

Business · Cash · Governmentality · Political science · Politics · Qualitative property · Refugee · Sociology · Computer Science · Global Security and Public Health · Homelessness and Social Issues · Law · Migration, Refugees, and Integration · Artificial Intelligence

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Unique citing works25
Citations per year5
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 25

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