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!
Zoologist, currently serving as Head of Field Studies at Absolute Adventure (UAE). An environmental education professional with expertise in program development: field studies, wildlife conservation, research-based fieldwork, and outdoor education.
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- @LukeSwaby
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Data Research Scientist at a leading multinational aerospace and defence company, looking to transition to a career in conservation AI. Experience covering a broad range of cutting-edge research topics across bioinformatics and machine learning.
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Control and Automation Engineer, currently enrolled in the Automation and Systems Postgraduate Program at Federal University of Santa Catarina (UFSC) in Brazil to obtain a Master's degree. Areas of interest: Multi Agent Systems, Artificial Intelligence, Robotics.
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I'm a PhD student at UW working with the Smithsonian and Center for One Health Research. I develop models to predict and explain zoonotic disease patterns, with a strong emphasis on how these diseases impact wildlife populations and communities sharing the same landscape.
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- 9 Discussions
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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- @Rewildman
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Eco-entrepreneur. Concerned with the fundamental interconnectedness of all things creative and environmental.
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Monitoring and Evidence Manager, Kent Wildlife Trust
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- @Naythin
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I’m an 18-year-old passionate about wildlife conservation and interested in how technology can help protect endangered species. I’m just starting out and eager to learn more about AI, and conservation.
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- @emmlub
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Interested in soil health and acoustic monitoring
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- @johnjoseph
- | He/Him
I am a mechanical engineer with diverse industry experience and a passion for innovative technology. As a technology and engineering entrepreneur, I focus on creating solutions that blend advanced engineering with a commitment to nature and forest conservation.
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- @tobiaspetri
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Schäuffelhut Berger GmbH
data science & algorithmic developmentfor movement ecology
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PhD student in animal biology working on AI for wildlife conservation
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| I know I'm very late, but I only discovered this recently. Is your team still active/accepting new members? |
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AI for Conservation | 4 years 4 months ago | |
| Hi @pmnguyen1224 , thanks for reaching out and checking out the system! We would love to help ensure that you're able to get pattern matching to work for... |
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Acoustics, AI for Conservation | 4 years 4 months ago | |
| Hi Andrew, Yo need to train a lightweight DNN model for bird flocks which can then be deployed on Raspberry Pi. For initial starters, you can look into the below tutorial:... |
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AI for Conservation | 4 years 5 months ago | |
| This is great, thanks for sharing. |
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AI for Conservation | 4 years 6 months ago | |
| AI for Climate Forum: Lightning Talks Bonnie Lei, Microsoft AI for Earth - 4pm GMT, October 30 Register here: https://us02web.zoom.us/webinar/register/... |
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AI for Conservation | 4 years 6 months ago | |
| Hi Wildlabbers, Just popping in to share this very cool primer for beginners to embedded machine learning from our tutor Daniel Situnayake! If you're interested in... |
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AI for Conservation, Camera Traps | 4 years 7 months ago | |
| Great talk! I thoroughly enjoyed it. Some high schoolers have done small AI projects(s) and have interest in the wildlife. What resources would you all suggest to further... |
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AI for Conservation, Camera Traps | 4 years 10 months ago | |
| DeepForest docs are here. https://deepforest.readthedocs.io/ Welcome to have a look. My experience is that individual trees cannot be distinguished in satellite... |
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AI for Conservation | 5 years 1 month ago | |
| Steph, thank you so much for this, this is wonderful :) Really, really apreciate you sharing this with me :) Diving into all of the wonderful resources from you, thank you so very... |
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AI for Conservation | 5 years 1 month ago | |
| A call put out over on Twitter by Jesse Alston might be of interest here - both for conservationists and grad students. Looks like... |
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AI for Conservation | 5 years 1 month ago | |
| This can be done, happy to help :) But I think I need to understand the situation a little bit more. Do you already have the data for training / inference? Do you have any... |
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AI for Conservation | 5 years 1 month ago | |
| Hi there this post on Conservation X labs recently came up on designing softwarre for individual horse recognition: https://... |
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AI for Conservation | 5 years 3 months ago |
The Wildlife Society Conference
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CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling
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FathomNet Workshop @CVPR 2023
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Apply for the Google for Startups Accelerator: Climate Change Middle East & Africa Program
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Think | IBM
Experience an integrated media property for tech workers—latest news, explainers and market insights to help stay ahead of the curve.
Imageomics Institute Image Datapalooza, August 2023
2 June 2023 11:44pm
ISO Speakers for Emerging Technologies class.
31 May 2023 4:29pm
2 June 2023 2:08pm
Carly, that would be great! Thanks! I work with soundscapes and love the work of Rainforest Connection! I'll send you an email (@CUNY) to coordinate!
10 AI for the Planet Projects you should be excited about
25 May 2023 11:07am
Looking for AI volunteer positions
24 May 2023 5:41am
24 May 2023 3:45pm
Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills.
Director of Research
Mbaza AI recognized by UNESCO & new team member
17 May 2023 8:49pm
Happywhale: AI-Powered Whale Identification
16 May 2023 10:00am
Lecturer/Associate Professor of Ecology and Innovative Technologies
16 May 2023 9:25am
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Photo Quadrats, AI, and MERMAID: A Case Study from Mozambique
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AI for Conservation Office Hours: 2023 Review
Dan Morris
and 1 more
11 May 2023 10:00am
Crowdsourcing individual ID for pop dyn?
1 May 2023 5:36pm
5 May 2023 6:15pm
That sounds like a really neat project! Do fish get re-caught often enough that individual ID is useful? Is sample bias (more data from popular spots) an issue?
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Looking to contribute
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Congo Basin activity?
30 March 2023 9:14pm
25 April 2023 5:08pm
greetings!
i sent you a PM regarding this, feel free to contact me however is most convenient for you -
regards,
chris
31 May 2023 10:21pm
Definitely interested! I'm in the ecoacoustics/acoustic monitoring space, working at Rainforest Connection and Arbimon.