Wildlife crime is one of the greatest challenges facing conservation, and one of the conservation tech world's biggest areas of innovation. With new ideas and solutions constantly being put forth to track and protect species targeted by poachers, manage protected areas and support rangers, and combat the growing online market for illegal wildlife products, the engineers and conservationists working to solve wildlife crime's many challenges rely on tools like machine learning, biologging, camera traps, acoustic monitoring, drones, mobile apps, and more.
This wide variety of overlapping technology makes our Wildlife Crime group a potential melting pot for many of our other communities, and makes it an especially exciting place to find collaborators working in different tech spheres to meet a common goal. Whether you're a camera trap expert looking for information on thermal vision to spot potential poachers, a machine learning expert with the skills to analyze acoustic data for gunshots, or a protected area manager seeking the latest integrated mobile tools, this group can connect you with the right members of our community!
Below, you'll find WILDLABS resources and conversations to help you understand how different technologies are being put to work in the fight against wildlife crime, and what conservation tech practitioners need for these tools to be effective.
Three Tutorials and Videos for Beginners:
- How do I use AI to fight wildlife crime? | Lily Xu, Tech Tutors
- WWF Wildlife Crime Technology Project | Eric Becker, Virtual Meetups
- SmartParks | Laurens de Groot, Virtual Meetups
Three Forum Threads for Beginners:
- Snare detection technologies | Rachel Kramer
- Tools for conservation management | Chris Muashekele
- Looking for Intelligence Database Software | Dexter Oelrichs
Three Articles for Beginners:
- Using AIS data to investigate the world's fishing ports, Max Schofield
- How do Wildlife Crime Experts view Remote Sensing Technologies used to Combat Illegal Wildlife Crime?, Isla Duporge
- Metal Detecting Sensors for Anti-Poaching, Sam Seccombe
Join this group now to get to know our community and start discussing solutions and ideas together!
Header photo: © Frank af Petersens/Save the Elephants
- @Alex_Tytgat
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Junior machine learning engineer with a background in data science and physics
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Serendipity Wildlife Foundation
CEO, Serendipity Wildlife Foundation
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Danau Girang Field Center & Cardiff University
Conservation biologist and PhD student specialising in movement ecology and behavioural research on Sunda pangolins in Malaysia Borneo. Using camera traps, biologging, and conservation social science.
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FoAM
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Ecognize.me
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