Our Labs
Our labs bring together passionate young researchers and practitioners from diverse disciplines and backgrounds. Together, we conduct interdisciplinary research guided by our four core pillars—Justice, Sustainability, Resilience, and Well-being—to address complex societal and environmental challenges.
By integrating expertise across data science, artificial intelligence, design, engineering, and the social sciences, our labs generate evidence and innovative solutions that support education, community programs, and open-source development for greater public impact.
Social & Environmental Data Science Lab
Intelligent Agents & Systems Lab
Social & Environmental Data Science Lab
Leveraging data and computational methods to understand, model, and improve urban systems and human-environment interactions.
- Urban mobility and accessibility
- Spatial data analysis
- Built environment and behavior
- Policy-relevant data modeling
Ongoing Projects:
Project 1: Disaster-Driven Population Relocation and Urban Development
Project 2: Planning, Buyout Policies, and Evacuation Behavior
Project 3: Mandatory Evacuation Policies and Hurricane Evacuation Behavior
Project 4: Post-Disaster Recovery Policy and Population Return Dynamics
Project 5: Short-Term Evacuation Behavior and Human Mobility During Flood Events
Project 6: Long-Term Population Migration and Spatial Reorganization After Flood Disasters
Project 7: Child-Centered Urban Cooling and Heat Adaptation Simulation
Urban Data Science transforms data into insights that serve communities and shape more equitable urban futures.
Houpu Li — Social & Environmental Data Science Lab Director
Lab Co-Director I Wenzheng Li
ProfileIntelligent Agents & Systems Lab
Developing and deploying AI and agent-based systems to support real-world applications in urban, environmental, and societal contexts.
- Agent-based systems and AI-driven workflows
- Human-centered and deployable AI solutions
- Applied machine learning for social and environmental challenges
Ongoing Projects:
Project 1: Intelligent Food Ingredient Analysis Platform
Project 2: Global Food Safety Standards Database
Project 3: Parenting Assistant
Project 4: UrbanKit — A web-based toolkit for fast, data-driven urban analysis.
AI agents transform data into adaptive intelligence, enabling intelligent decision-making across systems, applications, and everyday user experiences.
Zefan Wang — AI & Agent Systems Lab Director
