• Latest Resource
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• IUCN Red list R client.

Everything you need on the IUCN Red list is now accessible from R, outputted as tibble to facilitate data query, analysis, and visualization.

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• AI for Conservation Office Hours: 2025 Review

Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.

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• How AI Can Help Save Wetlands: The Power of Large Language Models in Conservation

The recent Ramsar Conference in Victoria Falls, Zimbabwe, underscored the critical importance of wetland conservation and the need for innovative solutions to protect these vital ecosystems.

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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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• LEAPs and bounds

How better spatial data reduces nature risk for business

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• Opportunity to participate in study on what evidence you trust in conservation

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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• A new underwater camera trap for freshwater wildlife monitoring

Proud of sharing our paper introducing our underwater camera trap, a solution for automating the production of underwater images and videos of amphibians, reptiles, invertebrates, mammals...

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• Can CBIs promote coexistence? A Case Study from Northern Tanzania

Can conservation-based incentives promote the willingness of local communities to coexist with wildlife? A case of Burunge Wildlife Management Area, Northern Tanzania

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• IUCN Red list R client.

Everything you need on the IUCN Red list is now accessible from R, outputted as tibble to facilitate data query, analysis, and visualization.