The project involves applying new machine learning methods and process-based models to understand how humans are impacting biodiversity. The candidate will develop and apply new causal methods to ecological data to uncover interactions between animal movement, vegetation, climate and human activities, with implications for ecosystem processes. The project will involve the analysis of empirical animal movement data, environmental data, human pressure data, and species traits to explore interactions between animals and their surroundings.