Successful Proposals Selected for Data Science Catalyst Program - Round 2 Dec 2024
Leveraging computer vision technology to monitor dynamic large mammal communities in Mozambique
Kaitlyn Gaynor, Department of Zoology
This project explores how human activity affects wildlife, particularly in Mozambique's Gorongosa National Park, where large mammals are recovering after civil conflict. Using motion-activated cameras since 2016, the research team tracks animal populations and their response to climate change and human pressures. Through the Data Science Catalyst Program, the team aims to create a database and computer vision tools to process images more efficiently and explore wildlife dynamics and the impact of disturbances like flooding and fires.
Source: Data Science Institute