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UID:0-8261@eng.ufl.edu
DTSTART;TZID=America/New_York:20260311T114500
DTEND;TZID=America/New_York:20260311T123500
DTSTAMP:20260223T203617Z
URL:https://www.eng.ufl.edu/news-events/events/w3-seminar-urban-digital-tw
 ins-an-emerging-computational-framework-for-making-sense-of-cities/
SUMMARY:W3 Seminar - Urban digital twins: An emerging computational framewo
 rk for making sense of cities
DESCRIPTION:Speaker: \nChangjie Chen\, Ph.D.\, Assistant Scientist\, Florid
 a Institute for Built Environment Resilience\, UF \n\nAbstract:\nCities ar
 e complex systems in which physical structures\, natural processes\, socia
 l relations\, and human activities coexist and interact across scales. Whi
 le these interdependencies have long defined urban life\, recent advances 
 in data availability\, computation\, and modeling have dramatically expand
 ed our capacity to represent\, integrate\, and reason about urban systems.
  This talk introduces urban digital twins as an emerging computational fra
 mework for making sense of cities\, providing a means of cultivating integ
 rative knowledge by relating heterogeneous data\, models\, and system arch
 itectures to support informed decision-making about urban futures.\n\nThe 
 talk examines urban digital twins as computational infrastructures that sh
 ape how urban processes are represented\, coupled\, and explored. It draws
  primarily on case studies from Florida\, where rapid population growth\, 
 sea-level rise\, and climate-driven risk have positioned the Florida Digit
 al Twin as a living laboratory for methodological and technical innovation
 . Examples include regionalization methods for cross-scale data harmonizat
 ion\, applications to coastal vulnerability and adaptation planning\, and 
 AI-powered 3D city modeling. The talk also considers emerging extensions t
 hat incorporate agentic reasoning within digital twins\, reframing computa
 tional inquiry around how cities can better support human life.\n\nBio: \n
 Dr. Changjie Chen is a computational urbanist studying the spatial structu
 re and functional  dynamics of cities\, with a focus on building scalable 
 and intelligent urban digital twins for modeling\, simulation\, and planni
 ng decision support. His work integrates geographic information systems (G
 IS)\, remote sensing\, spatial econometrics\, artificial intelligence (AI)
 \, and high-performance computing (HPC) to fuse large-scale\, multi-sector
  urban data with real-time sensor streams into high-fidelity representatio
 ns of cities across space and time. Leveraging cloud-based data infrastruc
 tures\, 3D geospatial data\, and smart city ontologies\, he develops gener
 ative AI pipelines that rapidly reconstruct immersive cityscapes and agent
 ic AI systems that autonomously reason about urban complexity\, enabling s
 cenario testing\, agent-based experimentation\, and the simulation of curr
 ent and future urban conditions.
CATEGORIES:Seminars
LOCATION:Phelps Lab Room 101\, 1953 Museum Road\, Gainesville\, FL\, 32611\
 , United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1953 Museum Road\, Gainesvi
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 m 101:geo:0,0
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