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 →Research themes become common tags across discussions, projects, datasets, tools, and events.
The Collective supports the path from a well-framed city question to a team, evidence, feedback, and reusable outputs.
Define the urban context, stakeholders, and evidence gap.
Bring together domain knowledge, methods, data, and place.
Share milestones, assumptions, limitations, and requests for feedback.
Release documented code, data, papers, benchmarks, or tools.
Introduce your work, start the first collaborations, or contribute to the community infrastructure and governance.