Good Systems

The goal of this project is to build an AI system using crowd-sourced data to help predict the health impacts of different neighborhood environments.  

Whole Communities–Whole Health

In order to study the effectiveness of using a blend of sensing technology like smartphone apps and wearable technology, self-reported surveys, and readily available group-level information (grades, attendance), our team developed a study to understand more about the social lives, sleep habits, physical activity levels, and academic performance of 1000 UT undergraduate students in the 2019-2020 school year.

Whole Communities–Whole Health

The team originally planned an extension of the UT1000 study to examine the relationship between biological indicators of stress, perception of stress, life events, and lifestyle in UT undergrads. This project addressed these challenges by developing and deploying environmental home beacons, wearable activity bands, and smartphone-based surveys.