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• Help Improve the WILDLABS Member Country Map

WILDLABS is working to improve the accuracy of our community map so we can better understand where in the world all our members are based. This information is critical for accurately assessing how our community and support programs are reaching users around the world.

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• 🐾 Urban Biodiversity and Sustainable Cities: A Systemic Approach to Animal Welfare

Urban sustainability is not only about infrastructure, clean energy, or green spaces — it is also about the living beings that share our cities. At TailBook, we see homeless animals as an integral part of urban biodiversity. Their presence affects ecosystems, public health, and community resilience, yet they are often absent from sustainability discussions. With this perspective, and through our recent 2025 Boring Fund Application Form, we are working to connect technology, communities, and policy in order to build cities that are both sustainable and humane. 

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• Opportunity to participate in study on what counts as evidence in conservation

Please help us by participating in a MSc research project on what you consider to be 'evidence' in your work in conservation.

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• Opportunity to participate in study on what counts as evidence in conservation

Please help us by participating in a MSc research project on what you consider to be 'evidence' in your work in conservation.

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• BoutScout – Beyond AI for Images, Detecting Avian Behaviour with Sensors

In this case, you’ll explore how the BoutScout project is improving avian behavioural research through deep learning—without relying on images or video. By combining dataloggers, open-source hardware, and a powerful BiLSTM deep learning model trained on temperature data, the team has reduced the time needed to analyse weeks or even months of incubation behaviour to just seconds. This has enabled the discovery of new patterns in how tropical birds incubate their eggs across different elevations and climates. With tools soon to be released on PyPI, including a no-code platform for behavioural analysis, this work offers a fresh, scalable approach for conservationists and researchers working on breeding data at the tropics.