Connect fragmented communities
Bring researchers, students, practitioners, public institutions, and open-source contributors into sustained collaboration.
City Computing Collective connects urban theory, spatial data, computational methods, local knowledge, and public questions.
Relevant work is often fragmented across urban science, GIS, planning, computer science, AI, engineering, public health, economics, design, and local practice. The Collective creates shared pathways between those communities.
Bring researchers, students, practitioners, public institutions, and open-source contributors into sustained collaboration.
Encourage documented data, code, methods, projects, papers, tools, benchmarks, and city-facing outputs.
Make assumptions, limitations, provenance, uncertainty, credit, and affected communities visible.
Conversations happen in GitHub Discussions. This website shows a copy of them that is easier to browse, and adds nothing that is not already public there.
The Collective is the place for discussion and collaboration. Documented outputs are released through two sibling platforms, and the research agenda sits with the lab.
Open urban research infrastructure with documented provenance and reuse pathways.
urbanprobe.com →Registries of urban AI releases, each documented with its evaluation and failure modes.
xurbanai.com →The directions and approach behind the platforms.
urbanscience.ai →