Right now, open research communities are exploring amazing frontiers together, and there are excellent "good first issue" opportunities, if you're looking to get involved.
Visit sites.utexas.edu/uil to learn more!
Urban Information Lab projects adopt the UT Austin Code of Conduct. For more information see the UT Austin Policies.
The Fire and Smoke Digital Twin is a cutting-edge solution that predicts smoke paths in 2D and 3D and provides real-time analysis of air quality drops due to fires. The digital twin collects and archives fire incident data from cities all over the US, and uploads nightly to this repository.
This repository contains the scripts used for the paper "Evaluating Urban Fire Vulnerability and Accessibility to Fire Stations and Hospitals in Austin, Texas," published in PLOS Climate.
A digital twin of Austin, Texas, using publicly available real-time information.
OpenCityAI is a AI trained on open city data, able to generate accurate responses with citations for any city data question.
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