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- Women Conserving Southern Africa
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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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- Free online tool to analyze wildlife images
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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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- Latest Discussion
- Suggestions for research funds
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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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- Latest Discussion
- Apis Nomadica Labs: Mobile Bee-Search for the Future of Food & Medicine
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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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- Latest Discussion
- DIY: Pressure Chamber
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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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- Latest Discussion
- Free online tool to analyze wildlife images
- Latest Resource
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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.
Group
- Latest Discussion
- Graph of life platform
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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- Latest Discussion
- GIS and AI on deforestation and Climate Change
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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
Group
- Latest Discussion
- How has the Funding & Finance group done?
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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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- Latest Discussion
- New Group Proposal: Systems Builders & PACIM Designers
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- Application of computer vision for off-highway vehicle route detection: A case study in Mojave desert tortoise habitat
Driving off-highway vehicles (OHVs), which contributes to habitat degradation and fragmentation, is a common recreational activity in the United States and other parts of the world, particularly in desert environments with fragile ecosystems. Although habitat degradation and mortality from the expansion of OHV networks are thought to have major impacts on desert species, comprehensive maps of OHV route networks and their changes are poorly understood. To better understand how OHV route networks have evolved in the Mojave Desert ecoregion, we developed a computer vision approach to estimate OHV route location and density across the range of the Mojave desert tortoise (Gopherus agassizii). We defined OHV routes as non-paved, linear features, including designated routes and washes in the presence of non-paved routes. Using contemporary (n = 1499) and historical (n = 1148) aerial images, we trained and validated three convolutional neural network (CNN) models. We cross-examined each model on sets of independently curated data and selected the highest performing model to generate predictions across the tortoise's range. When evaluated against a ‘hybrid’ test set (n = 1807 images), the final hybrid model achieved an accuracy of 77%. We then applied our model to remotely sensed imagery from across the tortoise's range and generated spatial layers of OHV route density for the 1970s, 1980s, 2010s, and 2020s. We examined OHV route density within tortoise conservation areas (TCA) and recovery units (RU) within the range of the species. Results showed an increase in the OHV route density in both TCAs (8.45%) and RUs (7.85%) from 1980 to 2020. Ordinal logistic regression indicated a strong correlation (OR = 1.01, P < 0.001) between model outputs and ground-truthed OHV maps from the study region. Our computer vision approach and mapped results can inform conservation strategies and management aimed at mitigating the adverse impacts of OHV activity on sensitive ecosystems.
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- Latest Discussion
- Online Ocean-Focused GIS Course
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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
Group
- Latest Discussion
- Free online tool to analyze wildlife images
- 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.
Group
- Latest Discussion
- Online Ocean-Focused GIS Course
Group
- Latest Discussion
- New Group Proposal: Systems Builders & PACIM Designers
- Latest Resource
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- Population genetics with eDNA
Using SNP markers with an Amphibian species, we were able to identify a total of 17,617 nuclear single nuclear polymorphisms shared across individual, pond eDNA (4 populations) and tank eDNA samples (where tadpoles of the four ponds were housed), enabling us to detect genetic structuring across sampling locations (previously demenstrated with microsatellites and tissue samples), consistent with individual-based estimates. Collecting only the matrix (here water) allows describing the existing population structure...that could be a nice progress for conservation biology...
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- Latest Discussion
- AI accelerator for nonprofits working in the Climate area
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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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- Latest Discussion
- 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.
Group
- Latest Discussion
- Apis Nomadica Labs: Mobile Bee-Search for the Future of Food & Medicine
- Latest Resource
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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
Group
- Latest Discussion
- G-DiNC 2026: Global Drones in Nature Conservation Symposium & Expo
- Latest Resource
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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.
Group
- Latest Discussion
- Piloting a QGIS Course for Conservation Staff – Seeking Interest & Input
Please help us by participating in a MSc research project on what you consider to be 'evidence' in your work in conservation.
Group
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- New WILDLABS Funding & Finance group
WildLabs will soon launch a 'Funding and Finance' group. What would be your wish list for such a group? Would you be interested in co-managing or otherwise helping out?
Group
- Latest Discussion
- Free online tool to analyze wildlife images
- 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.
Group
- Latest Discussion
- G-DiNC 2026: Global Drones in Nature Conservation Symposium & Expo
- 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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- Latest Resource
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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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