Data of/by/for the People: Designing Participatory Approaches to Data Governance

Harriet Simms, Aditi Surana, Carlos Guerrero Millan, Natalia Rozalia Avlona, S. J. Bennett, Ewa Luger, Bettina Nissen

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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Abstract

Current frameworks of data governance often fail to account for the plurality of the publics they are required to safeguard. Several alternative structures are emerging to democratise and rethink data governance to involve and protect people and their fundamental rights. This 1-day workshop will bring together HCI researchers, practitioners and designers working in areas of privacy, law, policy, social science and community practice to solidify the role of design in engaging communities with deliberate data practices which embed varied lived experiences into new technological developments. Critically addressing issues of care and meaningful representation, we aim to reflect on the impact of collective action and participation in datafied socio-technical infrastructures. To consolidate this research community, the intended workshop outcome is a visual map of the emerging landscape of alternative, community-led governance models, and a set of critically informed guidelines on best practices for design in this field.

OriginalsprogEngelsk
TitelDIS 2024 - Proceedings of the 2024 ACM Designing Interactive Systems Conference
Antal sider4
ForlagAssociation for Computing Machinery, Inc.
Publikationsdato2024
Sider405-408
ISBN (Elektronisk)9798400706325
DOI
StatusUdgivet - 2024
Begivenhed2024 ACM Designing Interactive Systems Conference, DIS 2024 - Copenhagen, Danmark
Varighed: 1 jul. 20245 jul. 2024

Konference

Konference2024 ACM Designing Interactive Systems Conference, DIS 2024
Land/OmrådeDanmark
ByCopenhagen
Periode01/07/202405/07/2024
SponsorACM Special Interest Group on Computer-Human Interaction (ACM SIGCHI)

Bibliografisk note

Funding Information:
This workshop is part of the Citizens Data Agency project funded by UKRI as part of REPHRAIN: Research centre on Privacy, Harm Reduction and Adversarial Influence online (EP/V011189/1) with support from BRAID: Bridging Responsible AI Divides (AH/X007146/1) and the 'DCODE network' funded by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 955990.

Publisher Copyright:
© 2024 Owner/Author.

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