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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- @stevef
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Tech Matters
Project Director, Terraso.org (1000 Landscapes for 1 Billion People): open source software for farmers, ranchers & communities.
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- @IvanIoSA
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CTO of IoSA, the Internet of Small Animals. Creator of ProxLogs
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- @lucytallents
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VerdantLearn
Sociable e-learning for conservation capacity building
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NatureMetrics
Passionate conservationist based in Italy, currently focusing on eDNA and impact with NatureMetrics.
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- @CitlalliMJ6
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Conservation biologist, executive director at the Tesoro Escondido Reserve Foundation in the Ecuadorian Chocó, working on participatory action research, environmental education, primate and amphibian conservation
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St. Lawrence University
Professor of Biology at St. Lawrence University
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- @afsanaemrose
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Wildlife Conservation Society (WCS)
Hello! It's Emrose this side. I am freshly baked graduate and newbie bird enthusiastic.
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- @Edonga
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Paul Edonga is from the Indigenous Pastoralist Tribes of Northern Kenya. A seasoned Leader in indigenous-led conservation of Endangered Beisa Oryx, African Small Antelopes their habitats & Dryland Forests. He's the founder of Save Beisa Oryx Community Resilience Trust-SBOC
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- @PrasadDWilagama
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Data Scientist | Full Stack Developer | AI ML Engineer | Lifelong Learner | Researcher | AI & MI |
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Funding
Challenge: ElephantEdge
Smart Parks
Protecting elephants from conservation's most pressing issues like poaching and human-wildlife conflict requires big, bold, and innovative solutions. Hackster.io, Smart Parks, Edge Impulse, Microsoft, and several other...
11 August 2020
Article
This exciting news article about The Global Wetland Project's FishID platform discusses the latest improvements and developments in using deep learning to identify individual fish species underwater. In addition to...
28 July 2020
Article
BearID To Go
BearID Project
In this article from BearID Project, Director and Software Developer Ed Miller walks us through using their application to identify individual bears from photographs. Ed shows us how to easily use BearID remotely in the...
21 July 2020
Funding
Competition: Cornell Birdcall Identification
The Cornell Lab of Ornithology
Put your acoustic monitoring skills to the test in The Cornell Lab of Ornithology's Birdsong Identification Kaggle Competition. Participants will compete to identify as many bird vocalizations as possible in in...
8 July 2020
Article
Innovator Interview: Hack the Poacher
WILDLABS Team
Conservation technology largely consists of two categories: tools to monitor and study wildlife and their habitats, and solutions to mitigate or prevent negative human impacts. The fight against poaching in particular...
4 June 2020
Article
The Perfect Paw Print: Collecting Data with FIT
Ellie Warren
A couple months ago, we introduced you to the Footprint Identification Technique (FIT), a non-invasive way to build an identification algorithm from both wild and captive animals by photographing footprints. Today, we'...
3 June 2020
Funding
Competition: 2020 Hackaday Prize
Conservation X Labs
The 2020 Hackaday Prize competition has begun! This year, Conservation X Labs has partnered with the Hackaday Prizes as one of four nonprofits seeking tech-based solutions to urgent challenges. Conservation X Labs'...
26 May 2020
Article
Get To Know FIT
WILDLABS Team
We're excited to welcome the WildTrack FIT group to our community! Today, we'd like to introduce you to the Footprint Identification Technique (FIT) and share how you can incorporate this tracking method into your field...
6 May 2020
Funding
Competition: iWildCam 2020
WILDLABS Team
Want to compete in the iWildCam 2020 competition identifying species in camera trap images to support biodiversity monitoring efforts and automatic species classification model improvements? Because the Workshop on Fine...
4 May 2020
Article
The 2020 Arm Research Summit is accepting submissions from all research disciplines focusing on the role of technology in solving global challenges. Submissions should reflect the potential of sustainable, secure, and...
24 April 2020
Article
WILDLABS Tech Hub: WWF PandaSat
WILDLABS Team
At the 2018 London Illegal Wildlife Trade Conference, we announced the WILDLABS Tech Hub, an accelerator programme created to support the development and scaling of groundbreaking technological solutions addressing the ...
13 April 2020
Community Announcement
WILDLABS Community Call Recording: Rainforest X-PRIZE
WILDLABS Admin
Our second WILDLABS Community Call took place on April 1st to continue the discussion started by Ben Tregenna in our Data Science group, in which he suggested the idea of submitting a collaborative entry to the X-Prize...
30 March 2020
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July 2025
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event
Lacey Hughey and 3 more
November 2023
October 2023
event
Stephanie O'Donnell
event
Stephanie O'Donnell
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| Description | Activity | Replies | Groups | Updated |
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| If you are considering EduGenie for your school assignments, it is useful to read the detailed review on the website. The article at https://nocramming.com/edugenie-review... |
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Acoustics, AI for Conservation, Marine Conservation | 1 minute 2 seconds ago | |
| MIT has this Moo Deng-based fun challenge! More seriously it relates to AI and human-nature interaction. I imagine people on Wildlabs would... |
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AI for Conservation | 1 day ago | |
| Hi Ethan, It's indeed a competitive area. My advice for you (and anybody else seeking a PhD supervisor)...Do background research on each individual potential supervisor and always... |
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Early Career, AI for Conservation, Animal Movement, Climate Change | 4 days 9 hours ago | |
| Hi Nick,At Wildlife.ai, from the other side of the world, we would be happy to chat with you. PM if interested Victor |
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AI for Conservation, Emerging Tech | 2 days 11 hours ago | |
| Hi everyone,What should we share or demo about Software Quality Assurance? Alex Saunders and I, the two Software QA people at Wildlife Protection Solutions (WPS) are going to... |
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Software Development, AI for Conservation, Open Source Solutions | 4 days 4 hours ago | |
| My name is Frank Short and I am a PhD Candidate at Boston University in Biological Anthropology. I am currently doing fieldwork in Indonesia using machine-learning powered passive... |
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Acoustics, AI for Conservation, Animal Movement, Data management and processing tools, Early Career, Emerging Tech, Ethics of Conservation Tech, Protected Area Management Tools, Software Development | 2 weeks 1 day ago | |
| This looks like a great application, thank you! I wonder if they are planning to run this study in future years. |
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AI for Conservation | 2 weeks 3 days ago | |
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Latin America Community, Acoustics, AI for Conservation, Camera Traps, Drones, Early Career | 2 weeks 6 days ago | ||
| @LukeD, I am looping in @Kamalama997 from the TRAPPER team who is working on porting MegaDetector and other models to RPi with the AI HAT+. Kamil will have more specific questions. |
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AI for Conservation, Camera Traps | 3 weeks ago | |
| Super happy to finally have Animal Detect ready for people to use. We are open for any feedback and hope to bring more convenient tools :) |
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AI for Conservation | 3 weeks ago | |
| Hi Ștefan! In my current case, I am trying to detect and count Arctic fox pups. Unfortunately, Arctic fox does not seem to be included in the training data of SpeciesNet but... |
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AI for Conservation, Camera Traps | 3 weeks 1 day ago | |
| Interesting. Thanks for the explanation. Nice to hear your passion showing through. |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 3 days ago |
