With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
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- @jdomingo
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I am an enthusiast for nature, technology development, biodiversity conservation and nature inspired design. I posses a technical and environmental background, and I am looking to explore the potential that advance technology has to empower the field of nature conservation.
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CIBIO-InBio
I am a PhD student working on wolf bioacoustics. I am combining Audiomoths and Deep Learning into more efficient wolf monitoring protocols. My main field of interest is population ecology.
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- @nadyam
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Michigan State University
Conservation geneticist at Michigan State University. Co-founder of iCatch. Solving problems in monitoring, traceability, and enforcement through rapid species identification tech.
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Passionate advocate for nature and experienced communicator, looking to explore opportunities to leverage technology in wildlife and marine conservation
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- @nlubcker
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Results-Driven R&D Project Manager | Data scientist | I'm a versatile professional with 10 years of global experience in conservation and research.
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- @mariahmeek
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Michigan State University
Dr. Mariah Meek is the PI and co-founder of iCatch, an Associate Professor at Michigan State University, and the Director of Research at The Wilderness Society.
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- @Alex.S
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MSc Marine Biologist and Data Scientist, Co-Founder and CSO & CTO of Galene Pathways
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PhD candidate studying the ethics of tech in human-animal interactions.
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Studio Pixel
AI integration architect, AI product manager. I've built the front-end of this website 😁
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Link
Bear-dar: Updates from the Field
Lars Holst Hansen
Polar Bear International chat about bear-dar and burr on fur in this video on Youtube https://www.youtube.com/watch?v=AfL42Wqctkk
15 December 2023
Article
SEE Shell is an innovative phone app that uses machine learning to identify products made from the shell of the critically endangered hawksbill sea turtle.
14 December 2023
Link
Benchmarking behavior classification of bio-logger data
Stephanie O'Donnell
Benjamin Hoffman is a Senior AI Research Scientist with Earth Species Project, and joined last Variety Hour to talk us through his work to explore using self supervision to detect behavioral patterns in raw sensor data...
13 December 2023
Careers
Project support officer - Conservation Tech
Tom August
Outstanding chance for a motivated and ambitious individual to enhance their current project support skills by engaging with a diverse array of exciting projects in the field of biodiversity science.
11 December 2023
Article
Trailguard AI cameras used for reducing human-wildlife conflict in India
Lars Holst Hansen
The Wildlife Society features a new paper where TrailGuard cameras have been used with tigers
9 December 2023
Careers
Two-year postdoc in AI and remote sensing for citizen-science pollinator monitoring, at Aarhus University. The successful candidate will integrate our computational entomologist team to develop and deploy novel methods...
4 December 2023
Funding
With $60,000, $30,000, and $10,000 grants available for 14 outstanding projects, the support of engineering and technology talent from Arm (the leading semiconductor design company), and access to the world’s biggest...
1 December 2023
Careers
Software Engineer at Rainforest Connection & Arbimon
Carly Batist
Join the Rainforest Connection & Arbimon team to develop software for biodiversity monitoring!
14 November 2023
Link
A secure platform designed for those working to monitor & protect natural resources. Insight facilitates sharing experience, knowledge & tools to increase efficiency & effectiveness in conservation. By...
7 November 2023
Link
Researchers in Nepal are using vertical cameras and AI technology to track and profile individual spotted deer (Axis axis), similar to the methods used for tigers.
30 October 2023
Careers
Acoustic Monitoring Specialist
Mandy Holmgren
The Institute for Bird Populations (IBP) seeks a California-based acoustic monitoring specialist to collect, manage, and process avian acoustic data from multiple research and conservation projects across California...
26 October 2023
Careers
Join the NightLife team where you'll blend entomology expertise with technological innovation using automated insect monitoring.
25 October 2023
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Nalini
July 2025
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December 2020
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| Description | Activity | Replies | Groups | Updated |
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| Wildlife Insights launched their online platform hosting over 4 million camera trap images. They use AI to automatically classify the... |
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AI for Conservation | 5 years 5 months ago | |
| Hey everyone! My colleagues and I are hosting a workshop on Animal Re-ID, and the submission deadline is a little less than a month... |
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AI for Conservation | 5 years 6 months ago | |
| Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both... |
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AI for Conservation | 5 years 6 months ago | |
| Hi all! This is a great article summarizing new applications for AI for conservation, and highlights @vsahai 's work with... |
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AI for Conservation | 5 years 9 months ago | |
| Wild Me (wildme.org) is looking to retain a UI/UX Machine Learning Engineer to help translate advanced ML into beautiful interfaces... |
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AI for Conservation | 5 years 10 months ago | |
| Wild Me (wildme.org) is looking to hire a second, Masters or PhD-level Senior Computer Vision Engineer to focus on individual ID of... |
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AI for Conservation | 5 years 10 months ago | |
| Hi, I would just like to introduce our Project BEESWAX7 and announce that today we acheived two milestones for success; we recorded bee... |
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AI for Conservation | 5 years 10 months ago | |
| There's a discussion over in camera traps about the design of a device to run autonomously (in an inaccessible location) with reliable... |
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AI for Conservation | 5 years 10 months ago | |
| I got to help TNC launch fishnet.ai over the weekend, a home for training data for fisheries monitoring & computer vision AI. We have a... |
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AI for Conservation | 5 years 11 months ago | |
| Please consider submitting to this workshop and/or challenge which may be relevant to your work: Call for Papers and Call... |
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AI for Conservation | 5 years 11 months ago | |
| yep! Drop me an email at stephanie.odonnell@wildlabs.net and I'll get you a link. Steph |
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AI for Conservation | 5 years 11 months ago | |
| Artificial intelligence & Machine Learning Algorithms are transforming data analysis, but little is known about how they... |
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AI for Conservation | 6 years 1 month ago |
