Our Work Is Local, but Our Impact Is Global

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.

The overall objective of this project was to investigate relationships among climates, cultures and ecosystems over the 20,000 years in Texas.

Postpartum mood and anxiety disorders affect as many as one in five women globally. Left untreated, these can have major negative effects on maternal and child health and well-being. While effective treatments are available, nearly 60% of mothers with symptoms are undiagnosed, and 50% of diagnosed mothers are left untreated.

This project addresses the conflict between convenience and privacy inherent to computer vision with the goal of developing future computer vision technologies that support diverse users with visual impairments, especially those who are traditionally underserved.   

This project considers high confidence policy learning as an evaluation criterion for good systems and investigates new algorithms for meeting this criterion. 

This project investigated the role that nonprofits based in Texas with an environmental focus play in securing a future that benefits all state residents. 

Pioneering new methods to explain and predict changes in ecosystems by monitoring wildlife, weather, soil, disease-carrying pathogens, and more to better understand the effects of climate change and human activity on nature and human health.

The record of human attempts to deal with environmental and demographic challenges is like a library of completed experiments. We can see which ones were successful and which ones weren’t, and we can trace the consequences of societal choices over hundreds of years. 

We are working with several City of Austin offices to confront the problem of homelessness. People experience homelessness as a continuum, ranging from housing instability to incarceration, couch-surfing to street homelessness, and episodic to chronic.

Advances in AI are shaping the future of work, but how can we ensure that employees, organizations, and society will benefit from the changes? Instead of automating tasks, which can reduce or eliminate the need for human workers, this project seeks to design smart hand tools that have embedded sensing and AI.