Data Practice for a Politics of Care: Food Assistance as a Site of Careful Data Work

要旨

As data plays an increasing role in civic decision making, diverse organizations are facing pressure to engage in data work. The HCI community has explored both the potential of and challenges to integrating robust data practices in mission-driven organizations. At each step – from collection, to storage, to analysis, to maintenance – these organizations need to develop tools and practices that balance internal operational needs and external community priorities. This work reports on an 11 month-long collaboration with a mission-driven hybrid organization that has designed tools and procedures for collecting data that enact an ethic of care. This caring data practice is characterized by defining success through relationships, attending to the social and cultural community context, and protecting vulnerable populations through non-collection. We share the organization's practices, analyze how they support the organization in providing care, and offer recommendations for building caring data systems.

著者
Ashley Boone
Georgia Institute of Technology, Atlanta, Georgia, United States
Carl DiSalvo
Georgia Institute of Technology, Atlanta, Georgia, United States
Christopher A. Le Dantec
Georgia Institute of Technology, Atlatna, Georgia, United States
論文URL

https://doi.org/10.1145/3544548.3580831

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Data Politics and Poetics

Room Y03+Y04
6 件の発表
2023-04-24 20:10:00
2023-04-24 21:35:00