The Texas Advanced Computing Center (TACC) is the engine behind DesignSafe, enabling researchers to perform advanced computational research, manage massive datasets, and collaborate across institutions.

University of Texas epidemiologist finds increases in asthma-related ER visits after school starts and disproportionate rates in more vulnerable areas.

Picture a woman at an intersection. She’s white, nicely dressed, carrying a laptop bag. The signal says, “Don’t Walk,” but she is distracted and steps out into the crosswalk. A car approaches.

Overuse of digital gadgets harms teenagers, research suggests. But ubiquitous technology may be helping older Americans stay sharp.

When we talk about climate resilience, we tend to focus on the future — solutions that might stave off disaster, technologies that could hold back the tide. But for a team of researchers at The University of Texas at Austin, part of the answer may lie in the deep past.

A team from The University of Texas at Austin and University of Massachusetts Boston has found that frequent helping outside the home significantly slows cognitive decline in middle-age and older adults.

Astronomers have discovered the oldest and most distant black hole — a behemoth that likely formed at the dawn of the universe, more than 13 billion years ago.

When disasters strike, from hurricanes to disease outbreaks, communities need more than just forecasts — they need the full picture. Planet Texas 2050 researchers are building powerful new tools that use artificial intelligence to combine sensor data, scientific models, and even personal stories…

In the Beaumont–Port Arthur region, rich wetlands and bayous sit alongside one of the nation’s busiest energy corridors—where industry, biodiversity and environmental stressors converge. It's a place that demands both scientific insight and deep community knowledge to navigate complex trade-offs.

A National Science Foundation artificial intelligence institute based at The University of Texas at Austin will receive continued funding for research that will improve the accuracy and reliability of AI models and lead to new drug development and improvements in clinical diagnoses.