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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- @laurenharrell
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Data scientist/statistician working in bioacoustics and species distribution models, loves whales
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- @magerk
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wildlife ecologist, Associate Professor of Environmental Science, Policy, & Sustainability and Biology
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- @otgonbayartm
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Thanks to WILDLABS. This community is what exactly matches to my interest in Nature Conservation as IT professional.
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- @accohan1
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Conservation Director who is passionate about bringing tech and innovation into conservation teams and projects for efficiencies, decision making and better on the ground management
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Tanzania Wildlife Research Institute (TAWIRI)
Conservation biologist based in Tanzania
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- @Shakirah
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Passionate lover of nature, Birdwatcher, Biotechnologist, Genomics
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Ecology officer with a data science edge for environmental solutions. Skilled in machine learning, computer vision, statistical modeling, and data visualization. Committed to conservation and sustainable practices.
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- @owenmartin22
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I am a firefly researcher and wildlife painter based in Boulder, Colorado
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Human-Wildlife Conflict
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Article
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...
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Funding
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26 May 2020
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Funding
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...
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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...
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Article
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Description | Activity | Replies | Groups | Updated |
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Hi everyone!@LashaO and @holmbergius from the Wild Me team at ConservationX Labs gave a superb talk at last month's Variety Hour,... |
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AI for Conservation, Camera Traps | 3 months 4 weeks ago | |
Thanks Carly! I will keep anyone interested in this project posted on this platform. Cheers |
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Acoustics, AI for Conservation | 3 months 4 weeks ago | |
Greetings Everyone, We are so excited to share details of our WILDLABS AWARDS project "Enhancing Pollinator Conservation through Deep... |
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AI for Conservation, Autonomous Camera Traps for Insects | 4 months 1 week ago | |
EcoAssist is an application designed to streamline the work of ecologists dealing with camera trap images. It’s an AI platform that... |
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Software and Mobile Apps, AI for Conservation, Camera Traps | 4 months 1 week ago | |
We could always use more contributors in open source projects. In most open source companies Red Hat, Anaconda, Red Hat and Mozilla, people often ended up getting hired largely... |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Early Career, Marine Conservation | 4 months 3 weeks ago | |
Hi @timbirdweather I've now got them up and running and winding how I can provide feedback on species ID to improve the accuracy over time. It would be really powerful to have a... |
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Acoustics, AI for Conservation, Citizen Science, Emerging Tech | 5 months ago | |
Really interesting project. Interesting chip set you found. With up to around 2mb sram that’s quite a high memory for a ultra low power soc I think.It might also be... |
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Acoustics, AI for Conservation | 5 months 1 week ago | |
Thank you so much for your encouraging words! I'm thrilled to hear that you enjoyed our conversation, and I truly appreciate your support in spreading the word about my survey... |
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Acoustics, AI for Conservation | 5 months 2 weeks ago | |
Perfect thanks! I am still a novice using Python but my wife can help me! |
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AI for Conservation, Camera Traps, Human-Wildlife Conflict | 5 months 3 weeks ago | |
Hi everyone! My name is Leah Govia and I am a PhD candidate at the University of Guelph, Canada. My research explores what people... |
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Ethics of Conservation Tech, Conservation Tech Training and Education, AI for Conservation | 6 months ago | |
Hi Danilo. you seem very passionate about this initiative which is a good start.It is an interesting coincidence that I am starting another project for the coral reefs in the... |
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Acoustics, AI for Conservation, Biologging, Camera Traps, Citizen Science, Climate Change, Community Base, Connectivity, Drones, Emerging Tech, Human-Wildlife Conflict, Open Source Solutions, Sensors, Software and Mobile Apps, Wildlife Crime | 6 months 2 weeks ago | |
Am working on similar AI challenge at the moment. Hoping to translate my workflow to wolves in future if needed. We all are little overstretched but it there is no pressing... |
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Camera Traps, AI for Conservation, Build Your Own Data Logger Community, Data management and processing tools, Marine Conservation, Protected Area Management Tools, Remote Sensing & GIS | 6 months 2 weeks ago |