Building the Beloved Community: Designing Technologies for Neighborhood Safety
University of Washington
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