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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Hello! My name is Anabelle Marques Klovrza and I am a Ph.D. student at Dawson's lab. I am studying community assembly of island-like environments, and in trying to connect it with the vulnerability and fragility of the ecosystem.
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I am nature lover and now lost the tolerance to just be an admirer watching its destruction. Hence joining this crew to contribute my supportive work much lesser than a penny worth
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Article
This article explores the use of IoT and Machine Learning Technologies in Ewaso Nyiro River, Kenya - which serves several communities as well as wildlife in Olpejeta Conservancy and Lewa Conservancy, among others. Data...
21 October 2021
Article
The International Journal of Computer Vision is calling for papers on Computer Vision Approach for Animal Tracking and Modeling. Visit the Springer website for further details and submission guidelines.
20 September 2021
Article
In this thought piece from Whale Seeker, Malcolm Kennedy considers the strengths of weaknesses of citizen science and AI, both used to analyze large amounts of conservation data, and discusses the importance of data...
19 August 2021
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Building Sustainable Support with Edge Impulse
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Today, we're chatting with our WILDLABS Fellowship: On the Edge partners at Edge Impulse about how conservation tech funding and support can be more sustainable, and why reimagining how fellowships make an impact is so...
13 August 2021
Article
To celebrate our newly-lauched WILDLABS Fellowship: On the Edge, I spoke with the Edge Impulse team about why uniting the conservation and tech worlds to make funding, tools, training, and support accessible and...
9 August 2021
Article
Wildlife Insights Launches
Zoological Society London (ZSL)
Wildlife Insights is excited to announce the public release of their new platform! Read on to learn about all the useful features you'll find on Wildlife Insights, and check out WILDLABS' Tech Tutors episode with...
27 July 2021
Article
BearID Featured: Artificial Intelligence & Other New Technology In Bear Research
WILDLABS Team and 1 more
Our friends at BearID joined an EXPLORE.org live chat to discuss their work identifying the bears of Katmai National Park with powerful AI technology. Watch the full panel event below, or here on EXPLORE.org's Youtube...
1 July 2021
Article
New Papers: Methods in Ecology and Evolution
British Ecological Society
A new issue of Methods in Ecology and Evolution from the British Ecological Society is now available for download. In this issue, WILDLABS readers will enjoy research involving conservation dogs and non-invasive...
23 April 2021
Article
New Papers: Remote Sensing in Ecology and Conservation
Zoological Society London (ZSL)
ZSL's Remote Sensing in Ecology and Conservation journal has released new research for early view before inclusion in an issue. See the full list of recent open access research papers on RSEC.
22 April 2021
Community Announcement
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25 March 2021
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Building Experts Into AI
Whale Seeker
In this article from Whale Seeker, you'll read about how human expertise plays a role in building strong AI algorithms and achieving accurate wildlife identification results, as well as the ethics of using AI in these...
15 March 2021
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Kaggle Competition: iWildcam 2021 - FGVC8
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This year's iWildCam competition is now live on kaggle. Go beyond just classifying species or detecting animals - this year the challenge focuses on counting how many individuals of each species are seen in a burst of...
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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 |
