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- HawkEars: a high-performance bird sound classifier for Canada
HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
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This is a chance to participate in a short survey about the preferences that conservation practitioners have for evidence. There's a chance to win one of three £20 Mastercard gift cards.
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This is a chance to participate in a short survey about the preferences that conservation practitioners have for evidence. There's a chance to win one of three £20 Mastercard gift cards.
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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.
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- Nature Tech for Biodiversity Sector Map launched!
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!
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- Beyond the Tech Hype / Más Allá del Hype Tecnológico
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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My Courses
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Introduction to Conservation Technology
GIS E-learning Course 4: Becoming Confident in Spatial Analysis & Geoprocessing
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