Data, AI, and computational systems for biodiversity research, species information, taxonomic data, ecological modeling, and conservation. The focus is on connecting biological observations with structured data and computational analysis.
AI and data systems for organizing, analyzing, and extracting information from biodiversity observations and datasets.
Computer vision and machine learning systems for identifying or classifying biological species from images, observations, or other data.
Computational modeling of species distributions and ecological patterns using environmental, geographic, and biological data.
Development of structured data systems for biodiversity records, taxonomy, species information, and biological collections.
Knowledge and information systems that connect biodiversity observations, species information, threats, and conservation-related evidence.