Optimizing ambulance allocation and routing is one of the most efficient ways for EMS to save more lives at virtually no cost. However, current EMS software was developed under models that assume normal demands. They are unable to adapt to disasters such as the COVID-19 pandemic, where traffic patterns change,… read more
Projects
Urban Health Risk Mapping
This project developed an AI system that can measure the health effects of neighborhood environments in ten major US cities using citizen crowd-sourced data. The research team mapped the computed health risk scores at the census tract-level for all selected municipalities and also built an interactive website that allows users… read more
Countering Misinformation and Disinformation
Older adults are especially vulnerable to believing and circulating disinformation online, and we want to enable this population to use social media more responsibly. We aim to do that in three ways. First, our research will investigate what kinds of disinformation is most widely believed by older adults – what… read more
Cameras, AI, and Public Values in Smart Cities
This project investigates comparative policies around the creation and use of video data in the public sector. As more cities deploy monitoring and sensing technologies, cameras are in the front lines of data-gathering in traffic, policing, and health and safety. However, there are no commonly accepted standards for using the… read more
Austin AI Housing Analysis – Open Data Repository-Interactive Website
We have created a website for Austin AI Housing Analysis. All the maps are interactive on this website. Team Members: Junfeng Jiao (Principal Investigator, Architecture), Weijia Xu (Texas Advanced Computing Center), Michelle Addington (Architecture), Ming Zhang (Architecture), Jake Wegmann (Architecture), Katie Pierce Meyer (University of Texas Libraries), Hao Zhu (Electrical… read more
Improving Pedestrian Safety with Traffic Monitoring Camera and AI
In collaboration with the Austin Transportation Department, we study pedestrian road use and identify potential safety concerns by analyzing existing traffic camera videos. Our approach automatically analyzes the content of video data from existing traffic cameras using a semi-automated processing pipeline powered by the state-of-art computing hardware and algorithms. Transportation… read more
