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CHI Conference on Human Factors in Computing Systems · April 2025

Building the Beloved Community: Designing Technologies for Neighborhood Safety

Ishita Chordia, Robert Wolfe, Jason C Yip, Alexis Hiniker

University of Washington

Case studyThematic analysisEthnography HCI & computer science

How they used Delve

Researchers at the University of Washington Information School used Delve to organize their codes from 17 interviews and a neighborhood Facebook group into themes for an inductive thematic analysis, in a CHI 2025 case study of a Transformative Justice-oriented neighborhood social work program in Atlanta.

“The first author used Delve, a qualitative data analysis tool, to group these codes into initial themes [30], and we discussed and revised these themes during weekly team meetings.”

Field
HCI; neighborhood safety technologies; transformative justice and design
Data
17 semi-structured interviews (the neighborhood social worker and 16 community members in Jackson Grove, Atlanta) plus 54 posts and roughly 800 comments from the neighborhood Facebook group collected Oct-Dec 2023
Approach
Case study with inductive thematic analysis (Braun & Clarke): the team manually coded the whole corpus, the first author grouped codes into themes in Delve, and themes were revised in weekly team meetings; interviews triangulated with a virtual ethnography of the neighborhood Facebook group
Data types
Interviews, Social media

Abstract

Thesis (Ph.D.)—University of Washington, 2024

Citation

Ishita Chordia, Robert Wolfe, Jason C Yip, Alexis Hiniker (2025). Building the Beloved Community: Designing Technologies for Neighborhood Safety. CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3706598.3713157

Resources

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