Our Work Is Local, but Our Impact Is Global

The Whole Communities–Whole Health team has built and tested a smart device that uses environmental sensors to better understand how indoor air quality affects family health by measuring indoor air pollution, carbon dioxide levels, humidity, and temperature in real-time.

Reimagining more equitable and resource-efficient metropolitan areas while safeguarding the food, fiber, fuel, and water that people and the planet depend on.  

This project investigated how data ethics can be a point of departure in designing and evaluating good systems, examining the contradictions and pressure points among various data practices. 

Partnering with frontline communities to research and identify youth experiences with, and responses to, environmental shocks and stressors.

The importance of communicating the dangers resulting from impending climate collapse is perhaps the most vital issue to be communicated. This project seeks to explore the greeting card as an everyday cultural form that can be used to express ideas and connect people around the subject of climate change. 

Preliminary findings suggest that the pandemic has resulted in changes in the frequency of health behaviors. The lessons learned from this research will be incorporated in the broader Whole Communities–Whole Health cohort study with input from potential participants and community members.

This project examined how children from groups underrepresented in STEM programs understand, interact with, and evaluate AI-driven digital assistants. 

Spanning across a wide range of climatic regimes, Texas relies on water extracted from rivers and aquifers within its own borders. Climate change and population growth are adding unprecedented stress on Texas waters and other types of natural resources. Quantifying the nexus between natural resources, energy generation, and food production is critically important for sustainable regional planning. This need also echoes one of the primary pillars of PT2050—Understanding the spatiotemporal dynamics of water availability and other natural resources, in relation to energy production and urban demands. 

Information and cultural heritage professionals have become increasingly interested in using data science, machine learning, and AI applications in the management of data and operations at libraries, archives, museums.

When hurricanes strike the coast of Texas, one of the more significant, but often overlooked, challenges is the logistics of patient evacuation.  The complex process of choosing staging areas, hospitals to receive patients, and the resources needed for transport are further complicated by the uncertainty of hurricane forecasting.