Situating Data Sets: Making Public Data Actionable for Housing Justice
Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Chan, Elora Raymond, Carl DiSalvo
TL;DR
The paper investigates how aggregated public eviction records can be made actionable for housing justice organizers through an ethnographic case in Atlanta. It applies Data Feminism and standpoint theory to shift researchers from data intermediaries to data accomplices, producing two data visualizations (the Address-based Evictions Tracker and the Starwood Map) that adapt to organizers’ evolving needs. It articulates three design implications—becoming domain novices, pursuing data actionability, and evaluating artifacts by social impact rather than mere functionality—to guide HCI scholars working with grassroots communities. The work underlines the importance of context, labor, and relational practices in open data projects aimed at social justice and offers a grounded methodology for community-engaged data design in housing advocacy.
Abstract
Activists, governmentsm and academics regularly advocate for more open data. But how is data made open, and for whom is it made useful and usable? In this paper, we investigate and describe the work of making eviction data open to tenant organizers. We do this through an ethnographic description of ongoing work with a local housing activist organization. This work combines observation, direct participation in data work, and creating media artifacts, specifically digital maps. Our interpretation is grounded in D'Ignazio and Klein's Data Feminism, emphasizing standpoint theory. Through our analysis and discussion, we highlight how shifting positionalities from data intermediaries to data accomplices affects the design of data sets and maps. We provide HCI scholars with three design implications when situating data for grassroots organizers: becoming a domain beginner, striving for data actionability, and evaluating our design artifacts by the social relations they sustain rather than just their technical efficacy.
