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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.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research. Â
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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.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research. Â
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Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.
- Latest Resource
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- What Happens When Conservation Technology Leaves the Lab? Lessons from Training Rural Communities in the Brazilian Cerrado
Thanks to support from the WILDLABS Awards through the Boring Fund, funded by Arm, we were able to deliver a conservation technology training programme designed to make wildlife monitoring tools more accessible to rural communities.
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- Latest Discussion
- Conservation Technology - Paris, France
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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- 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.Â
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