Return to Innovation for Impact Fund
2022: Updating Global Spatial Datasets of Livestock Production and Greenhouse Gas Emissions (Environmental Defense Fund)
Overconsumption of animal-source foods has led to significant environmental issues and health problems. This project will create a framework for using machine learning to constantly update a global livestock production and emissions dataset, first developed by Mario Herrero (Global Development, Cornell) and partners over fifteen years ago. The updated datasets will provide timely and relevant information to inform sustainability-related policy.
Cornell: Mario Herrero (Cornell CALS/Global Development)
EDF: Joe Rudek