Groups joined
Groups
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- Group Stats
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- 96
- 215
- 30
- Latest Discussion
- remote sites as 'Edge computing'
This group unites those working at the intersection of edge AI and conservation, focusing on real-time, on-device data processing for environmental monitoring to facilitate sharing tools, models, and strategies to overcome challenges in remote, low-connectivity areas.
🌍 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
Group
- Group Stats
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- 1382
- 1723
- 614
- Latest Discussion
- Anyone using Microsoft Sparrow?
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.
- 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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- 737
- 1431
- 284
- Latest Discussion
- Getting behavioral data out of datasets that weren't built for it
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.
- Latest Resource
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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
Group
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- 399
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- 36
- 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!
- Latest Resource
- /
- 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.
Group
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- 496
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Used to pick up signals from tracking gear on the ground, collect images of wildlife and habitats from the air, gather acoustic data with specialized hydrophones, or even collect snot samples from whales' blowholes, drones are capable of collecting high-resolution data quickly, noninvasively, and at relatively low cost.
🌍 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
Group
- Group Stats
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- 516
- 973
- 324
- Latest Discussion
- Getting behavioral data out of datasets that weren't built for it
Want to talk about sensors that don't quite fit into any of our tech-specific groups? This is the place to post! From temperature and humidity to airflow and pressure sensors, there are many environmental sensing tools that can add valuable data to core conservation monitoring technologies. With the increasing availability of low-cost, open-source options, we've seen growing interest in integrating these kinds of low bandwidth sensors into existing tools. What kinds of sensors are you working with?
🌍 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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