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Public value in the making of automated and datafied welfare futures
Austrian Academy of Sciences, Austria.ORCID iD: 0000-0002-0820-8186
University of Leipzig, Germany.ORCID iD: 0009-0004-2756-2959
Austrian Academy of Sciences, Austria.
Södertörn University, School of Culture and Education, Media and Communication Studies.ORCID iD: 0000-0002-9975-2354
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2024 (English)In: Internet Policy Review, E-ISSN 2197-6775, Vol. 13, no 3, p. 2-22Article in journal (Refereed) Published
Abstract [en]

Across Europe, the public sector is expanding its efforts to introduce data-driven decision-support and intelligent systems in the administration of welfare. The growing body of research that highlights the impact and harms these systems have on citizens’ lives, raises questions about the guiding ideas, values, and norms that are at the heart of current transformations in welfare. Research in critical data studies contends a silent marketisation of social protection and governance. It implies an intricate entanglement between the procedures and output of service provision on the one hand and the normative outcomes in terms of the well-being and flourishing of society as a whole on the other hand. Thinking with the capabilities approach and buen vivir as well as with the concept of data justice, our paper asks how to conceptualise this relation. It discusses how (in)justice may become a sociomaterial component in automated welfare and emphasises that welfare outcomes and welfare practices, including their procedural aspects, are rather co-produced than just interdependent. We conclude that whether future infrastructures of welfare will create public value or not, depends on the institutional arrangements, policies, and norms built to distribute the emerging benefits and risks equally in society.

Place, publisher, year, edition, pages
Alexander von Humboldt Institute for Internet and Society , 2024. Vol. 13, no 3, p. 2-22
National Category
Public Administration Studies
Identifiers
URN: urn:nbn:se:sh:diva-55190DOI: 10.14763/2024.3.1803ISI: 001330553400004Scopus ID: 2-s2.0-85207169855OAI: oai:DiVA.org:sh-55190DiVA, id: diva2:1912787
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2021-01602EU, Horizon Europe, 101004509
Note

This research has been funded by: Austrian Science Fund: [I 6075-G]; BMBF, Germany; FORTE, Sweden [2021-01602], National Science Center, Poland [grant no.2021/03/Y/HS5/00263], all under the CHANSE ERA-NET Co-fund programme, which has received funding from the European Union’s Horizon 2020 Research and Innovation Programme, under Grant Agreement no 101004509.

Available from: 2024-11-13 Created: 2024-11-13 Last updated: 2025-10-07Bibliographically approved

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