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Jason Holmberg added a new Career Opportunity - "Wild Me is hiring" to AI for Conservation
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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
- 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.
Group
- Latest Discussion
- Conservation Technology - Paris, France
Bringing together many of our community's tech types like bioacoustics, biologging, drones, remote sensing, machine learning, and more, the Marine Conservation group is a meeting point to begin innovative collaborations and answer difficult questions.
🌍 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.
Group
- 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.
- Latest Resource
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- New Book on Camera Trapping Tech
Trail Cameras & Custom Camera Traps: Technology, Ethics & Strategies for Success
Group
- 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.
Group
- 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.
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Jason Holmberg's Content
Wild Me (wildme.org) is looking to retain a UI/UX Machine Learning Engineer to help translate advanced ML into beautiful interfaces for use by wildlife biologists. This...
8 July 2019
Wild Me (wildme.org) is looking to hire a second, Masters or PhD-level Senior Computer Vision Engineer to focus on individual ID of wildlife using machine learning in the Wildbook...
8 July 2019
Here' s a press release we put out today talking about how we're using a deep convolutional neural network to find and curate whale shark (Rhincodon typus)...
18 May 2017
Here's a demo of the work we're doing to identify individual humpback whales (and other species) using computer vision and A.I. on the IBEIS.org project. https://www....
29 May 2016
Jason Holmberg commented on "AI for Impact Series at WWF: Looking for experts/speakers"