Situating Data Sets: Making Public Data Actionable for Housing Justice
<|reference_start|>Situating Data Sets: Making Public Data Actionable for Housing Justice: 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.<|reference_end|>
@article{tran2024situating,
    title={Situating Data Sets: Making Public Data Actionable for Housing Justice},
    author={Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Chan, Elora Raymond,
  Carl DiSalvo},
    journal={arXiv preprint arXiv:2402.12505},
    year={2024},
    doi={10.1145/3613904.3642452},
    archivePrefix={arXiv},
    eprint={2402.12505},
    primaryClass={cs.HC cs.CY}
}