Find the right people
Connect urban questions with complementary methods, local knowledge, data access, and domain expertise.
Start a collaboration →A global community for researchers, students, and practitioners using geospatial data, sensing, simulation, and AI to understand cities.
Find collaborators, share datasets and tools, discuss research ideas, and turn urban questions into open, reproducible projects.
City computing connects urban theory with spatial data and computation. It brings together urban science, GIS, sensing, simulation, data engineering, and responsible AI to study how cities work, and how urban knowledge can become more open, rigorous, and useful.
Every pathway begins with a structured post, so people can understand the question, geography, data, methods, timeline, and contribution needed.
Connect urban questions with complementary methods, local knowledge, data access, and domain expertise.
Start a collaboration →Document datasets, code, indicators, maps, models, and reusable urban research workflows.
Explore resource pathways →Surface verified calls, grants, events, positions, reading groups, and emerging research directions.
Browse opportunities →The first post sets the tone. Introduce your work, or start a collaboration request.
Synced from GitHub Discussions.
Every post is tagged with the urban systems it concerns. Each theme has a hub with its open questions, collaborations, projects, data, events, and people.
Introduce your work, start the first collaborations, or contribute to the community infrastructure and governance.