CSP data scientist, Mae Lacey, presented at the 2025 Geo for Good Summit in New York City, hosted by Google. Mae shared CSP’s novel high-throughput species distribution modeling workflow, which is a core tool in our biodiversity monitoring toolkit that has been applied across California, the Great Plains, and Brazil’s Cerrado biome. This approach demonstrates how CSP leverages Google’s cloud computing technologies such as Google Earth Engine to scale species distribution modeling, which improves the speed, efficiency, and flexibility of our workflows to help us better understand and anticipate shifts in biodiversity as climate and landscapes change.
Mae’s talk highlighted how CSP’s cloud-based pipeline integrates large environmental datasets into machine learning models for tens to even hundreds of species, producing scalable biodiversity predictions under past, present, and future land use scenarios. These outputs inform adaptive, data-driven land management planning and support the development of interactive tools for exploring biodiversity outcomes. We thank Google for the invitation to present!
