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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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• 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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• 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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• LEAPs and bounds

How better spatial data reduces nature risk for business

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• MyProgress: Advancing GIS and R programming skills.

A fascinating journey of unleashing my potentials in spatial analysis using ArcGIS Pro and R programming.

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• Siguiendo Ballenas: rastreo satelital desde el espacio revela sus rutas migratorias // Tracking right whales from outer space reveals their migratory routes

Un ambicioso proyecto internacional está usando transmisores satelitales para monitorear los viajes migratorios de ballenas francas australes, permitiendo entender sus sorprendentes patrones de desplazamiento en tiempo real.  //  An ambitious international project is using satellite tags to monitor the migratory journeys of southern right whales, allowing researchers to understand their surprising movement patterns in real time.

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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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• 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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• 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.