Meet our grantees
Wild Animal Initiative funds academic research on high-priority questions in wild animal welfare.
The goal of our grants program is to fund research that deepens scientific knowledge of the welfare of wild animals in order to better understand how to improve the welfare of as many wild animals as possible, regardless of what causes the threats to their well-being.
We showcase our grantees and their projects here and continuously update this page as new projects are added.
A bird’s eye view to the five domains of welfare: a quantitative framework and proof-of-concept evaluation in a cetacean, Orcinus orca
Grantees: Saana Isojunno, Eve Jourdain
Institutions: University of St. Andrews, Norwegian Orca Survey
Project summary
This project will carry out body condition and welfare assessments for inshore-foraging killer whales in the northeast Atlantic. The researchers will use the Five Domains model to categorize likely factors influencing killer whale welfare and quantify some of those factors using aerial photography from drones. They will gather data on foraging time and feeding rates, group composition and surface behavior, body shape as a proxy for body condition and blubber reserves, and reproductive success. The researchers will then develop a proof-of-concept statistical model to infer latent motivational states beneath the observable data. The project will also utilize data from known cases of poor welfare to help define their welfare scale.
Density-dependent welfare in wild bird social networks: Linking resource distributions with disease dynamics
Grantee: Joshua Firth
Institution: University of Oxford
Project summary
This project will investigate how various potential density-dependent drivers of welfare interact and influence net welfare in two species of tit. Population density is expected to be directly related to infectious disease transfer and increased competition, but also to covary with processes that are potentially beneficial to welfare. The study will use historical data to determine how the relationship between population density and individual welfare is shaped by infectious disease, body condition, and mortality risk. The investigators will then manipulate density experimentally to test model outputs and determine potential causal links.