Groups joined
Sil A Belliard completed a course - "Camera Trapping for Conservation"
Sil A Belliard completed a course - "Camera Trapping for Conservation"
Sil A Belliard completed a course - "Camera Trapping for Conservation"
Sil A Belliard completed a course - "Camera Trapping for Conservation"
Sil A Belliard completed a course - "Camera Trapping for Conservation"
Sil A Belliard enrolled on a new course - "Camera Trapping for Conservation"
Sil A Belliard completed a course - "GIS E-learning Course 4: Becoming Confident in Spatial Analysis & Geoprocessing "
Sil A Belliard completed a course - "GIS E-learning Course 4: Becoming Confident in Spatial Analysis & Geoprocessing "
Sil A Belliard completed a course - "GIS E-learning Course 4: Becoming Confident in Spatial Analysis & Geoprocessing "
Sil A Belliard enrolled on a new course - "GIS E-learning Course 4: Becoming Confident in Spatial Analysis & Geoprocessing "
Sil A Belliard completed a course - "GIS E-learning Course 2: Introduction to QGIS"
Sil A Belliard enrolled on a new course - "GIS E-learning Course 2: Introduction to QGIS"
Sil A Belliard completed a course - "GIS E-learning Course 1: What is GIS and why should you care?"
Sil A Belliard enrolled on a new course - "GIS E-learning Course 1: What is GIS and why should you care?"
Groups
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Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
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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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- 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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- The Climate Change AI Virtual Summer School 2026!
This group aims to establish a regional hub in Latin America that provides a space for knowledge sharing and network-building among the growing number of people working in conservation technology in the region.
🌍 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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This group is for anyone interested in open source technologies for ecology and conservation. We welcome contributions from both makers and users, whether active or prospective. Here, we believe that open source hardware, software, and data are key to conducting both rigorous and honorable science and research. It is a place to share novel or existing technologies, exchange resources, discuss new projects, ask for advice, find collaborators, advocate for adopting open source technologies, and share strategies for making them sustainable. Open Source Solutions naturally overlaps with existing WILDLABS groups, and we aim to embrace this overlap while maintaining our unique space for growth of Open Source Solutions as a priority in conservation science.
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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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Welcome to the home of the Women in Conservation Technology Programme (WiCT)! This is a space for the women and mentors involved in the programme to keep in touch, share updates and resources, and problem solve together! Drop into our group to say hello and keep in touch with the programme and participants.
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- Introducing the 2026 Cohort: Women in Conservation Technology Programme, Tanzania 2026
We're delighted to announce the launch of our fourth Women in Conservation Technology Programme, in partnership with the Grumeti Fund and with support from the JRS Biodiversity Foundation. Join us in welcoming the 2026 cohort as they kick off the training with an in-person workshop in Tanzania this July!
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- Latest Discussion
- Engineer Searching for Biologists
The eDNA & Genomics Group focuses on advancing biodiversity monitoring, species detection, and ecological research using environmental DNA (eDNA) and genomics technologies. Our members are engaged in the collection, sequencing, and analysis of DNA from environmental samples—such as soil, water, and feces—to detect species presence, assess genetic diversity, and study population structure without the need for direct observation or capture.
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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.
Bookmarks
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Sil A Belliard's Comments
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