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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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• 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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• 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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• 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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• Zimbabwe Shines: 5 Key Takeaways from Ramsar COP15

Making waves in wetland conservation: Explore the outcomes and insights from Ramsar COP15, a premier global event on wetland protection and sustainability

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• Case Study: Drone-based radio-tracking of Eastern Bandicoots

Wildlife Drones was deployed by Zoos Victoria in a trial project tracking captive-bred Eastern Barred Bandicoots that were tagged and released into the wild

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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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• 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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• 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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• 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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• Zimbabwe Shines: 5 Key Takeaways from Ramsar COP15

Making waves in wetland conservation: Explore the outcomes and insights from Ramsar COP15, a premier global event on wetland protection and sustainability

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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! 

• 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.

• Latest Resource
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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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• Making Progress: Women in Conservation Technology Programme, Kenya

We invite you to join us in reflecting on the extraordinary progress each of our WiCT Kenyan cohort members has made since 2022 and follow along on their dynamic conservation tech career journeys. Featuring fifteen exciting blog posts made here on WILDLABS in each of their own words.

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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.