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.

Time

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

Registration

This is a virtual workshop.

It is free to register: https://forms.gle/rbuCGeJfviqApifY9

You will receive the zoom information after registration.

Contact us for questions or collaboration: xinyue.ye@tamu.edu

Agenda

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