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• Boring Fund Report for Creating Global Open-Access Ground-Truth Datasets for Insect Monitoring 

Improving the computer vision detection model for the Mothbox, an automatic insect monitoring tool from Dinalab

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• Deep Voice - A Free Online Platform for AI-Based Marine Mammal Sound Detection and Classification

Passive acoustic monitoring floods marine researchers with data that can take months to annotate by hand, and the AI models that could help have long required Python setup, GitHub repos, and complex config files. Funded by the WILDLABS Awards 2025, Deep Voice removes that barrier with a free, public web app that turns marine mammal sound detection into a simple drag-and-drop task.

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• Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia

Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.

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• Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia

Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.

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• Practical Considerations for Camera Trap Photography

Trail Cameras & Custom Camera Traps: Technology, Ethics & Strategies for Success

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• Upcoming Learning Session July15: “Wildlife Tracking for Connection”

Join us for our 15th learning session on Wednesday, July 15 at 6 pm CEST | 5 pm BST | 12 pm EDT | 9 am PDT | 9:30 pm IST (Co-creation with the More-than-Human sandbox) Register on EventBrite (free, 1 hr): https://www.eventbrite.co.uk/e/wildlife-tracking-for-connection-learning-session-tickets-1992174556727?aff=oddtdtcreator

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• Upcoming Learning Session July15: “Wildlife Tracking for Connection”

Join us for our 15th learning session on Wednesday, July 15 at 6 pm CEST | 5 pm BST | 12 pm EDT | 9 am PDT | 9:30 pm IST (Co-creation with the More-than-Human sandbox) Register on EventBrite (free, 1 hr): https://www.eventbrite.co.uk/e/wildlife-tracking-for-connection-learning-session-tickets-1992174556727?aff=oddtdtcreator

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• Help shape best-practice guidance on conservation technology - input to survey

🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.  

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• BAM (Biodiversity Around Me) widget

I am happy to introduce and share our new project BAM, to make open biodiversity data easily accessible to everyone, everywhere!

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• Help shape best-practice guidance on conservation technology - input to survey

🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.  

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• Assessing Critical Habitats Using Environmental DNA to Conserve the World’s Rarest Heron- White-bellied Heron Ardea insignis

The White-bellied Heron (Ardea insignis) is the world's rarest heron, with only about 60 individuals remaining globally. Bhutan holds nearly half of the remaining population, making conservation efforts within the country crucial to the species' survival. As part of my PhD research at Texas State University, I have been working to better understand the ecology, habitat suitability, and conservation needs of this critically endangered species. I employ an interdisciplinary approach that integrates field ecology, environmental DNA (eDNA) and portable genomics technologies to improve biodiversity monitoring and conservation planning for White-bellied Heron in Bhutan. Unlike traditional monitoring approaches that rely solely on direct observations, eDNA allows researchers to detect biodiversity from traces of genetic material left behind in the environment. The WILDLABS Award provided an exciting opportunity not only to advance research but also to demonstrate how emerging conservation technologies can be applied in remote landscapes while building local capacity for conservation genetics. Through this project, we sought to explore how portable molecular tools can support conservation decision-making while making advanced genetic technologies more accessible to researchers and practitioners in Bhutan.