Machine Learning Methods for the Study of Animal Groups on the Move

Explore a 54-minute research seminar where Dr. Colin Torney from the University of Glasgow presents innovative machine learning approaches for analyzing collective animal movement patterns. Delve into the intersection of mathematical sciences and animal ecology as part of the "Mathematics of movement: an interdisciplinary approach to mutual challenges in animal ecology and cell biology" series hosted by the Isaac Newton Institute. Learn about cutting-edge computational methods being applied to understand how animal groups coordinate their movements and interact while in motion, combining insights from both mathematical modeling and behavioral ecology. Gain exposure to advanced research that bridges the gap between theoretical mathematics and practical applications in studying collective animal behavior.