Situating Data Sets: Making Public Data Actionable for Housing Justice
CoRR(2024)
摘要
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.
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