USDA-ARS
Our work is helping USDA-ARS researchers better understand production systems. Given the amount of data collected on these projects, we work in conjunction with the High Performance Computing Collaboratory.
Cattle Impacts on Rangeland Ecosystems
Our team (including postdoctoral associate Stephanie Cunningham and USDA-ARS researcher David Augustine) is using high-frequency accelerometer and location data from beef cattle to understand the effects of rangeland management techniques on production and ecosystem change. This enormous amount of data will also allow us to make recommendations on optimal monitoring efforts required by producers to efficiently manage herds. It may also contribute to the co-implementation of these types of data with newer technologies such as virtual fencing.
Catfish Behavior & Disease Susceptibility
Understanding how catfish move and behave is a daunting task given their lack of observability within the murky ponds they inhabit. Our team (in collaboration with USDA-ARS researchers Brian Ott and Matt Griffin) are working to use biologging technology to understand [1] how catfish respond to temporal changes in pond temperature and oxygen levels and [2] how changes in movement and behavior influence their susceptibility to disease. Our work aims to create best practice recommendations to enhance catfish production systems.