Wildlife is an essential part of the Nordic nature, but many species are threatened by habitat loss, climate change, and human activities. To protect biodiversity, we need large and reliable information about where species live and how their populations are changing.
Every year, millions of images and recordings of wildlife are collected through remote cameras, sound recorders, and public photo-sharing from national monitoring projects or research projects. These image-based data contain valuable insights on animal behavior and population trends, but the amount of data is too large for experts to analyze manually. To keep up, we need new, efficient ways to process species identification automatically.
Modern computer vision technology, especially advances in artificial intelligence (AI), can now help identify species, track their movements, and detect unusual changes from large collections of images and sound recordings. This allows us to turn vast amounts of raw data into useful knowledge much faster, supporting timely actions to protect wildlife.
The Nordic BiodiversityAI Network wants to connect biologists, ecologists, technology experts, and relevant stakeholders to improve wildlife biodiversity monitoring. Through workshops, webinars, and summer schools, the network shares transdisciplinary knowledge, builds connections, and prepares young researchers to apply transdisciplinary approaches to their future research. By improving how we monitor wildlife, the network supports biodiversity conservation and healthier communities across the Nordic region.
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