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Advancements in communications networks that connect sensors and enable data retrieval across landscapes are revolutionizing conservation fieldwork. As the infrastructure that helps our core tools talk to each other in even the most remote places, the importance of connectivity cannot be overstated. Whatever solutions you're working with - and on whatever scale - this group is the place to discuss all things related to connectivity in conservation, from fiber-optic cables to LoRa to Swarm.
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- Synthesis of Insights / Learning session 14: Rights of Nature by Tribal and First Nations
Synthesis of insights of our 14th online learning session, using dialogue to explore the workings, developments, (im)possibilities, and emerging insights of diverse approaches and praxes for Co-creation with the More-than-Human world
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The Animal Movement Group is a collaborative community dedicated to advancing the study, monitoring, and conservation of animal movement. It provides a space for researchers, practitioners, and innovators to exchange knowledge, explore bio-logging approaches and data, and address conservation challenges linked to species mobility.
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- Wild Moves and Wild Album: New GBIF Data Portals for Animal Tracking and Camera Trap Data
New data portals are making it easier to discover and explore wildlife tracking and camera trap datasets from around the world.
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Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
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- Deep Voice - A Free Online Platform for AI-Based Marine Mammal Sound Detection and Classification
Passive acoustic monitoring floods marine researchers with data that can take months to annotate by hand, and the AI models that could help have long required Python setup, GitHub repos, and complex config files. Funded by the WILDLABS Awards 2025, Deep Voice removes that barrier with a free, public web app that turns marine mammal sound detection into a simple drag-and-drop task.
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