Speaker: Tom Sanchez, PhD | Professor of Urban Affairs and Planning at Virginia Tech Time: September 22, 2023, 2:00 – 2:30 PM (CST) Zoom Link: https://utexas.zoom.us/j/91425104430 Abstract: Interest in AI has exploded since the release of platforms like ChatGPT providing mainstream access to powerful content-generation capabilities. In this talk, I… read more
News & Events
Urban Information Lab Secures $1.4 Million in Funding for Joint Project
As extreme weather events happen more frequently in the Central Texas region, it’s becoming more important to not only study and understand these events, but also figure out how to better prepare for them. The Urban Information Lab, along with the LBJ School of Public Affairs and the Cockrell School… read more
Smart Cities and Generative AI Symposium 2023
On Aug. 18, the Urban Information Lab hosted the Smart Cities and Generative AI Symposium. Interdisciplinary professionals across academia and industry gathered to inform, examine, and discuss how generative artificial intelligence impacts our cities. Topics included Smart Resilience, Smart Mobility, and Large Language Model (LLM) Applications. Some highlights of the… read more
A Digital Twin for Austin
Announcing the Austin Digital Twin: A Revolutionary Leap in Urban Management and Public Safety We are thrilled to announce the launch of the Austin Digital Twin, a groundbreaking initiative aimed at transforming how cities are managed and safeguarded. Developed through a collaborative effort between the University of Texas Urban Information… read more
Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach
Speaker: Yiming Xu, PhD | Postdoctoral Fellow | School of Architecture, UT Time: September 8, 2023, 2:00 – 2:30 PM (CST) Zoom Link: https://utexas.zoom.us/j/91425104430 Abstract: Accurately forecasting the real-time travel demand for dockless scooter-sharing is crucial for the planning and operations of transportation systems. This study proposes a novel deep… read more
Heat risk mapping: A non-parametric multivariate approach
Speaker: Naveen Sudharsan, PhD | Postdoctoral Fellow | Jackson School of Geosciences Time: August 25, 2023, 2:00 – 2:30 PM (CST) Zoom Link: https://utexas.zoom.us/j/98848018679 Abstract: Persistent changes in the climate have amplified the strength and occurrence rate of unusual weather events, temperature fluctuations, natural disasters, and the resulting destruction they… read more
Smart Cities and Generative AI Symposium
The Smart Cities and Generative AI Symposium is a day-long gathering of interdisciplinary professionals across academia and industry to inform, examine, and discuss how generative artificial intelligence impacts our cities. Happening at the Texas Advanced Computing Center in Austin, Texas, this robust program will feature presenters from multiple universities across… read more
Ethical AI and Our Future – Lecture Series
Designed to create a campus-wide conversation, the Helen and Jeff Herbert Family University Lecture Series gives first-year students an opportunity to interact with leading members of our faculty—scholars, scientists, and civic leaders who are nationally and internationally renowned. All students, faculty, alumni, staff, and community guests are invited, but the… read more
UIL Researchers @ Global Sandpit
The UKRI Trustworthy Autonomous Systems Programme is the UK’s flagship multi-disciplinary research programme that looks to address the challenge of developing best practices for the design, operation, and governance of trusted and trustworthy autonomous systems for the benefit of society. One of its goals is to establish international collaborations that… read more
Making the most out of sparse data: the case of travel demand calibration
Urban traffic simulators are used by cities worldwide to inform their transportation planning and operations. We discuss the main challenges in the calibration of inputs for stochastic microscopic urban traffic simulators. In particular, we focus on the calibration of travel demand or origin-destination matrices (ODs). The problem is underdetermined, we… read more
