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Arthur contributed to Organisation - "Earthtoolsmaker"
Arthur contributed to Product - "Biowatch"
Arthur commented on "Welcome to WILDLABS! "
2 months ago
Arthur added a new Discussion - "Camera Trap Data Visualization Open Question" to AI for Conservation
Arthur commented on "Welcome to WILDLABS! "
A year ago
Groups
Group
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- 228
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- 145
- Latest Discussion
- Looking for partners: Improving conservation funding and reporting
The number one problem in nature conservation is the need for more money or access to funding. This group aims to help all WILDLABS community members with funding and financing their projects. The group is called Funding and Finance to draw attention to the possibilities of funding (i.e., grants, awards, and other gifts) and finance (loans and venture capital investment in nature conservation projects and start-ups). These topics should be seen in their wider contexts, including that of a project or organisation’s income or business model.
- Latest Resource
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- WILDLABS Awards 2026: Meet the Judges
While the WILDLABS Awards 2026 submissions are in the final round of judging, meet the panel that is currently reviewing the shortlist of applications.
Group
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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.
Group
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- 933
- 1680
- 400
- 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
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- 220
- 361
- 70
- Latest Resource
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- Boring Fund Report for Creating Global Open-Access Ground-Truth Datasets for Insect Monitoring
Improving the computer vision detection model for the Mothbox, an automatic insect monitoring tool from Dinalab
Group
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- 913
- 2270
- 301
- 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
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- 968
- 2494
- 535
- Latest Discussion
- London Climate Action Week 2026 Conservation Technology Related Events?
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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- The State of Conservation Technology: What Five Years of Data Tell Us
Our 2026 report is here, drawing on five years of community-sourced data to explore how the field is evolving, where progress is being made, and where collective action is still needed.
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Arthur's Content
Discussion
Hi everyone I wanted to share something we've been building that feels right at home in this community: Biowatch, a free and open-source desktop app...
21 April 2026
Discussion
Hi there,I would like to get some feedback, insight into how practitioners manage and visualize their camera trap data.We realized that there exists already many web based...
4 February 2025
Arthur's Comments
A contact on the following Inventory items
Product
Biowatch is a free, open-source desktop app for analyzing camera trap data offline. One-click install on Windows, macOS, and Linux — species ID, maps, and activity analysis all run on-device. CamtrapDP-compatible and GBIF-ready; your data never leaves your machine.
Arthur commented on "Biowatch: a free, open-source desktop app for camera trap analysis"