![](https://ds.cs.umass.edu/wp-content/uploads/sites/53/2024/07/brian-yurasits-1xAOTnlyJjE-unsplash-600x400.jpg)
Buzzards Bay: Transitioning to Continuous Water Quality Monitoring
This project aims to study the transition from traditional “grab sample” water quality monitoring to continuous, sensor-based monitoring in Buzzards Bay, Massachusetts.
![](https://ds.cs.umass.edu/wp-content/uploads/sites/53/2023/11/2048px-Dugan_Hall_east_wing-600x450.jpg)
Analyzing Energy Usage with Predictive Modeling
Partner: Massachusetts Division of Capital Asset Management & Maintenance DS4CG 2023. DCAMM is responsible for managing resources in various state buildings like state hospitals, prisons,
![](https://ds.cs.umass.edu/wp-content/uploads/sites/53/2023/11/gary-bendig-WPmPsdX2ySw-unsplash-600x400.jpg)
Tracking Bird Migration Patterns with Machine Learning
Partner: Environment Canada DS4CG 2023. Aerial insectivore populations have been declining in Canada, prompting the need for a model that can predict bird migration patterns.
![](https://ds.cs.umass.edu/wp-content/uploads/sites/53/2023/11/jose-antonio-gallego-vazquez-q5DNjRaAJo4-unsplash-1-600x394.jpg)
Integrating DISCount for Disaster Relief
Partner: Red Cross Netherlands DS4CG 2023. The focus of the second summer of our partnership with the Red Cross was to integrate DISCount, UMass Computer
![Roost UI](https://ds.cs.umass.edu/wp-content/uploads/sites/53/2022/12/Screenshot-2023-05-24-at-1.30.30-PM-600x526.png)
Modeling Bird Roosts and Migration Patterns
In partnership with Environment Canada through our Data Core program, we created a computer vision model to track bird migrations across Canada. Data from recent years show a decrease in bird populations across North America, prompting interest in studying their migration patterns and habitats.
![Whale jumping](https://ds.cs.umass.edu/wp-content/uploads/sites/53/2022/12/todd-cravens-QnBrjY-nFUs-unsplash-600x399.jpg)
Save the Whales
When whales are encountered near the surface of the ocean, it’s useful to be able to quickly assess their health for conservation and evaluation purposes. As part of our Data Science for the Common Good program, Master’s students Chhandak Bagchi and Gizem Cicekli developed a tool for identifying a whale from an aerial image.