Two Projects Selected for Round 3 of Data Science Catalyst Program
July 14, 2025
Congratulations to Dr. Eldad Haber in the Department of Earth, Ocean and Atmospheric Sciences and Drs. Daniel Weary and Marina von Keyserlingk in the Faculty of Land and Food Systems for being selected in Round 3 of the Data Science Catalyst Program!
A Comparison-Driven Lameness Assessment Platform for Dairy Cows
Daniel Weary and Marina von Keyserlingk, Faculty of Land and Food Systems - with Tiffany Timbers in the Department of Statistics and Tamara Munzner in the Department of Computer Science
Lameness causes pain to dairy cows and economic losses to famers, but can be difficult to detect and routinely monitor. A new method using pairwise video comparisons and Bayesian algorithms offers a more reliable, scalable to way to assess lameness, outperforming traditional expert scoring. It also shows promise for broader use in fields like AI evaluation and medical diagnostics, though challenges remain in automation and interface design.
From Geological Image to Descriptions
Eldad Haber, Department of Earth, Ocean and Atmospheric Sciences
Three-dimensional geological models are intricate representations of Earth's subsurface, traditionally described qualitatively by geologists. While advanced simulation tools have emerged to create these structures, and machine learning techniques like flow matching and diffusion models now offer new generation methods, geologists often rely on descriptive narratives to understand our planet. This project aims to bridge this gap by developing tools that can transform these "geological stories" into tangible 3D Earth models.