Observe urban environments
Build valid, transparent measures from maps, imagery, sensors, administrative records, and human experience.
Urban Science × Artificial Intelligence
Studying cities as dynamic human systems.
We develop spatial, computational, and AI methods to understand urban environments—and translate evidence into more equitable, resilient decisions.
Explore our researchResearch agenda
Methods grounded in urban questions.
Our work links urban theory, geospatial data, sensing, simulation, and responsible AI. The goal is not AI for its own sake, but stronger evidence about how cities change and whom those changes serve.
Urban representation & multimodal learning
Human-centered sensing & perception
Mobility, accessibility & inequality
Climate resilience & environmental justice
Urban agents, simulation & decision support
Selected directions
Research in formation.
Identify urban mechanisms
Combine computational models with careful research design to move beyond prediction toward explanation.
Support responsible action
Create open evidence and tools that researchers, communities, and public institutions can interrogate and use.
People & publications
A lab in its founding stage.
Team profiles, publications, teaching, partners, and funded projects will be added as the lab develops.
Opportunities
Work with us.
Future student opportunities, collaborations, and open positions will be announced here.