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- Getting behavioral data out of datasets that weren't built for it
This group is for anyone interested in applying software to conservation and wildlife research. Whether you're a developer eager to contribute to conservation or a newbie with valuable data and ideas but limited software experience, this group connects people with diverse expertise. It provides a space for asking questions, sharing resources, and staying informed about new technologies and best practices.
🌍 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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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.Â
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- 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.
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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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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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Andrew Lewis MSc FLS's Content
Discussion
Realtime video analysis using ML on Raspberry PI
Andrew Lewis MSc FLS
HI, I am looking into using ML to identify a flock of birds from a video camera feed, either color or grayscale, using OpenCV and Python on a Raspberry Pi? Has anyone attempted...
25 September 2020
Discussion
Distinguishing Noise from Sounds - a question of recognition?
Andrew Lewis MSc FLS
Hi there, Does anyone know of anyone researching into the identification of different noises, as opposed to distinct sounds, and can they point me at them please? By "...
23 September 2020
Discussion
Prior work on Bird Flock identification
Andrew Lewis MSc FLS
Hi there! We have a project underway called "Identi-Flock" which is an ambitious attempt to port our individual pollinator identification software, www.withymbe.info...
22 March 2020
Discussion
Hello buzzing World!
Andrew Lewis MSc FLS
Hi, I would just like to introduce our Project BEESWAX7 and announce that today we acheived two milestones for success; we recorded bee buzzes using the AudioMoth audio...
7 July 2019
Discussion
Success recording bees using AudioMoth
Andrew Lewis MSc FLS
I would just like to put on record that we have successfully tested an AudioMoth recording "bug" in a local garden inside a plastic bag whereby it recorded the buzz of...
7 July 2019
Discussion
Audio analysis of flocks or swarms
Andrew Lewis MSc FLS
Hi, Here at BEESWAX8 we are working on identifying flocks of avains or swarms of insects by their collective noise. We have noticed already that this is more complex than...
1 July 2019
Discussion
Project BEESWAX7 Infographic
Andrew Lewis MSc FLS
Hi, To give you the "heads-up" on our Project BEESWAX7, herewith attached is a copy of our project Inforgraphic which describes the concept. I hope you like it. Tally...
13 November 2018
Discussion
Wildlife monitoring using Smart-Cities tech
Andrew Lewis MSc FLS
Hi, here at Project BEESWAX7 (www.facebook.com/ProjectBeeswax) we are investigating the feasibility and use of small sensors and Smart-Cities technology to count...
14 June 2018
Andrew Lewis MSc FLS's Comments