Caitlin Moore
Sessions
Treekipedia is an AI-powered, community-driven tree intelligence commons, designed to aggregate, structure, and democratize global tree knowledge. By leveraging AI agents, peer-reviewed contributions, and an ontology-driven knowledge graph, Treekipedia transforms fragmented ecological data into an open, machine-readable resource for conservationists, researchers, and practitioners. The platform enables better species selection for reforestation, integrates Traditional Ecological Knowledge (TEK) with scientific insights, and supports biodiveirsty and climate resilience efforts by providing actionable, continuously evolving tree data. Treekipedia is more than a database—it is a living knowledge ecosystem, bridging the gap between research, technology, and global reforestation initiatives.