Exploring Alternative Socio-Technical Systems for Careful Data Work in Recovery Contexts

要旨

Non-profits such as voluntary and community-based (VC) organisations are facing increasing pressures to engage in data work to sustain themselves. They face challenges with practices, information systems and tools associated with capturing data for supporting service provision. Most recently, researchers working with VC organisations have turned to Feminist and Care discourses to envision alternatives to current socio-technical systems whereby their values and purposes do not match with those of non-profits, consequently pulling the latter away from their socially driven mission. We report on a longitudinal, collaborative study with a UK-based mental health peer support organisation that created innovative tools as a means of navigating current pressures to practice data work for the quantification of mental health service provision. We present findings from interviews conducted with our community partner and share how recovery work has informed careful data practices, offering recommendations for supporting data work in mental health recovery.

受賞
Honorable Mention
著者
Caroline Claisse
Newcastle University, Newcastle upon Tyne, United Kingdom
Alison K. Osborne
Northumbria University, Newcastle upon Tyne, United Kingdom
Elizabeth Sillence
Northumbria University, Newcastle upon Tyne, United Kingdom
Angela Glascott
Recoco (Recovery College Collective), Newcastle upon Tyne, Tyne and Wear, United Kingdom
Alisdair S. Cameron
ReCoCo, Newcastle upon Tyne, United Kingdom
Abigail C. Durrant
Newcastle University, Newcastle upon Tyne, United Kingdom
DOI

10.1145/3706598.3713537

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713537

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Well-being and Tracking

Annex Hall F205
7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
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