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Ollie Wearn contributed to Organisation - "Snow Leopard Trust"
Ollie Wearn added a new Organisation - "Snow Leopard Trust"
Groups
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- 516
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- 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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- 933
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- Latest Discussion
- Spectrolipi v2.0.1
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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- 913
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- Latest Discussion
- Getting behavioral data out of datasets that weren't built for it
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.
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- New Book on Camera Trapping Tech
Trail Cameras & Custom Camera Traps: Technology, Ethics & Strategies for Success
Group
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- 737
- 1431
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- 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.
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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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- 1382
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- 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.
Group
- Group Stats
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- 295
- 174
- 33
- Latest Discussion
- New "Human Dimensions" group on Wildlabs?
Over the last few years the conservation movement has been enthusiastically deploying new technologies that make it possible to observe and protect the natural world in ways once unimaginable. But are there any potential risks we need to consider as we deploy the new, exciting technologies?
🌍 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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Ollie Wearn's Content
Discussion
Spotting primates w/ thermal scope
Ollie Wearn
Hi thermal experts! We're thinking here in FFI of getting a thermal scope to help us more accurately count gibbon group size (a key vulnerability in our population...
7 April 2021
Discussion
Hi all, I just wanted to flag to all those working at the intersection of camera-trapping and AI, that there is a symposium coming up on the subject, hosted by a group of US...
20 September 2019
Discussion
Responsible AI for Conservation?
Ollie Wearn
AI is booming in conservation, with almost daily news articles on how it will solve problem X with algorithm Y. Indeed, there's huge potential here. But, as the old adage goes...
11 February 2019
Discussion
Solutions for safely transporting camera traps?
Ollie Wearn
Hi, Does anyone have any go-to solutions for transporting camera traps securely and safely, especially on commercial flights? Something like these Rubbermaid...
20 July 2018
Discussion
If you're planning a camera trap survey, then look no further. We've read through most (all?!) of the camera trap literature, so you don't have to. We've...
12 October 2017
Discussion
PIT tag suppliers in the UK
Ollie Wearn
Hi all, Does anyone have any recommendations for PIT tag (+ reader) suppliers in the UK? I've used Francis Scientific Instruments before - a very small...
22 February 2017
Discussion
I need some advice on photogrammetry. Is there anyone here that has used these methods and would be willing to provide some pointers? Specifically, I am aiming to create a 3D...
19 January 2017
Discussion
Camera-trapping best-practices
Ollie Wearn
Hi everyone, As part of a WWF-UK conservation tech initiative, I'm putting together camera-trapping best-practice guidelines, aimed at field...
15 June 2016
Ollie Wearn commented on "Prototype for exploring camera trap data"