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- 557
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- Latest Discussion
- New "Human Dimensions" group on Wildlabs?
The Human–Wildlife Coexistence (HWC) group is a collaborative hub for conservationists, technologists, field researchers, entrepreneurs, and innovators exploring solutions to HWC globally. The group provides a space to share practical tools, pilot novel interventions, connect global communities, and amplify projects that help communities and wildlife coexist. The group emphasizes community voices, socio-economic challenges, and equitable resource sharing, ensuring human perspectives are understood alongside wildlife needs.
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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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- 406
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- Latest Discussion
- Custom Hydrophone Records Dolphins
Welcome to the official group forum for our virtual course, Build Your Own Data Logger. This is your space to engage with course instructors Akiba and Jacinta from Freaklabs, find help and resources for each module, collaborate and chat with your fellow course participants, and share your progress on your own Data Logger project!
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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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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- 947
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- Latest Discussion
- Loaning Bioacoustics Recorders
Acoustic is one of our biggest and most active groups, with members collecting, analysing, and interpreting acoustic data from across species, ecosystems, and applications, from animal vocalizations to sounds from our natural and built environment.
- Latest Resource
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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- 1406
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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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The WILDLABS Community Base is the ideal place to get oriented with the all that our community platform offers, hear about news and opportunities, and to meet new friends and collaborators.
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- Announcing the WILDLABS Awards 2026 Grantees
Learn about the 16 selected projects that are working to innovate, scale, and adopt conservation technology for this year’s WILDLABS Awards.
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Brett Muir commented on "Seeking Input: GPS Fix Interval Methodology for Wildlife Tracking Collars"