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Online Workshop of Design & Analytics for Urban Artificial Intelligence @ Texas A&M

Workshop summary

Advancements in location-aware technology, information and communication technology, and mobile technology during the past two decades have transformed the focus and need for urban research from mostly static assessments to multi-scalar assessments that span spatial, temporal, and dynamic relationships and integrate human behaviors across various environments (natural, built, and virtual). Communities can increase cyber, social, and physical resilience based on Urban Artificial Intelligence (Urban AI). However, silos within design, social, and engineering sciences as well as yawning gaps between research and practice have increased difficulties in achieving sustainable, equitable, and resilient development. This workshop aims to develop an agenda to promote urban artificial intelligence-based algorithms and tools to visualize, analyze, and design cities. This will promote the collaboration in data, algorithms, and outreach between The Texas A&M Institute of Data Science and urban research communities on campus and beyond. Most importantly, this will be a convergence accelerator for the TAMU system to increase external funding in urban climate science, human mobility, and environmental informatics. The effort will bolster partnerships between academics, local residents/stakeholders, and industries/professionals to stimulate human-centered research that strengthens America’s infrastructure.


9am-3pm CT on June 24 (Friday) 2022


This is a virtual workshop.

It is free to register:

You will receive the zoom information after registration.

Contact us for questions or collaboration:


Time   Name Affiliation Talk Title
900 910 Nick Duffield Electrical & Computer Engineering/TAMU Data Science at TAMU
910 920 Shannnon Van Zandt Architecture/TAMU COA at TAMU
920 930 Xinyue Ye Landscape Architecture & Urban Planning/TAMU Introduction of Workshop and Agenda
930 950 Galen Newman Landscape Architecture & Urban Planning/TAMU Digital and Virtual Applications for Urban Data Analytics and Geodesign
950 1010 Fan Zhang Senseable City Lab/MIT Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery
1010 1030 Xiaofeng Nie Engineering Technology & Industrial Distribution/TAMU Joint Initial Dispatching of Official Responders and Registered Volunteers during Catastrophic Mass-Casualty Incidents
1030 1050 Zhe Zhang Geography/TAMU Urban Computing Cyberinfrastructure:Visualizing Human Sentiment Using Social Media and Augmented Reality
1050 1110 Youngjib Ham Construction Science/TAMU Digital Twin for Smart City Resilience and Age-friendly Communities
1110 1130 David Retchless Marine & Coastal Environmental Science/TAMUG A Geovisual Design Framework for Urban Storm Surge Hazardscapes
1130 1150 Bo Zhao Geography/University of Washington Becoming Better Allies: A Humanistic Reflection Upon Urban Artificial Intelligence
1150 1220 short lunch break    
1220 1240 Wenwen Li Geographical Sciences and Urban Planning/Arizona State University Real-time GeoAI for Smart Cities
1240 1300 Chao Fan Civil & Environmental Engineering/TAMU Integrated Intelligence for Design of Resilient and Equitable Urban Spaces
1300 1320 Bahar Dadashova Roadway Safety/Texas A&M Transportation Institute Building Equitable Safe Streets for All: Data-Driven Approach and Computational Tools
1320 1340 Jason Wu Research & Implementation/Texas A&M Transportation Institute Leveraging Emerging Data and AI Technologies to Enhance Transportation Infrastructures
1340 1400 Mark Fossett Sociology/TAMU Advantages of working with Detailed Microdata over Aggregated Data in Social Science Research
1400 1420 Ceyhun Eksin Industrial & Systems Engineering/TAMU Epidemic Models with Social Distancing Behavior
1420 1440 Gengchen Mai Computer Science/Stanford University Narrative Cartography with Knowledge Graphs
1440 1500 Xinyue Ye Landscape Architecture & Urban Planning/TAMU Summary and Next-Step

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