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!
- @Thomas_Luypaert
- | He/him
Norwegian University of Life Sciences (NMBU)
Ecological monitoring enthusiast with a focus on ecological and conservation research
- 1 Resources
- 1 Discussions
- 7 Groups
Working in relation to ecosystem services
- 0 Resources
- 0 Discussions
- 8 Groups
- @jdomingo
- | He/Him
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.
- 0 Resources
- 9 Discussions
- 2 Groups
- @och3k
- | she/her
- 0 Resources
- 0 Discussions
- 2 Groups
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.
- 0 Resources
- 0 Discussions
- 3 Groups
- @nadyam
- | she/her
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.
- 0 Resources
- 3 Discussions
- 6 Groups
Passionate advocate for nature and experienced communicator, looking to explore opportunities to leverage technology in wildlife and marine conservation
- 0 Resources
- 0 Discussions
- 7 Groups
- @nlubcker
- | Dr
Results-Driven R&D Project Manager | Data scientist | I'm a versatile professional with 10 years of global experience in conservation and research.
- 0 Resources
- 1 Discussions
- 7 Groups
- @mariahmeek
- | she/her
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.
- 0 Resources
- 0 Discussions
- 5 Groups
- @Alex.S
- | She/Her
MSc Marine Biologist and Data Scientist, Co-Founder and CSO & CTO of Galene Pathways
- 0 Resources
- 0 Discussions
- 8 Groups
PhD candidate studying the ethics of tech in human-animal interactions.
- 0 Resources
- 1 Discussions
- 3 Groups
- @Hansa
- | He/Him
- 0 Resources
- 0 Discussions
- 6 Groups
Article
Congratulations to Zoohackathon winners, team ODINN!
Zoological Society London (ZSL)
Following the UK Government’s landmark announcement of plans to introduce a complete ban on the domestic trade in ivory, it was fitting that a new machine learning product designed to tackle the supply end of this...
6 December 2017
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FIT Cheetahs
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A new research project is looking to investigate whether technology combined with the ancient skills and knowledge of Namibian trackers can help save cheetahs from extinction. Called FIT Cheetahs, the research project...
4 December 2017
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With Arctic sea ice disappearing, can advanced sensor technologies provide insights into an ecosystem on the brink?
30 November 2017
Article
HWC Tech Challenge Update: Meet the Judges
WILDLABS Team
Our panel of international experts has been hard at work reviewing the 47 proposals we recieved for innovative technological tools to address human wildlife conflict. The panelists have systematically been assessing the...
20 October 2017
Article
DAS: A Scaleable Solution For Protected Area Management
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The Domain Awareness System (DAS) is a revolution in monitoring technology, creating real-time awareness of protected areas assets. This technology has the potential to completely change standard monitoring procedures...
26 September 2017
Article
Frustrated by the limitations of the tools that were available for managing large camera trap data sets, Heidi Hendry and Chris Mann set out to develop something that met their needs, and thus, Camelot was born. In...
7 July 2017
Funding
The European Space Agency is calling for Kick-Start ideas to leverage space technology for wildlife protection. Three main topics of interest have been identified: 1) Wildlife monitoring, tracking and inventory, 2)...
5 July 2017
Article
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Its been a busy couple of months for the Open Acoustic Devices team. They've just returned back from Belize where they have been trialling the new AudioMoth design for gunshot detection. Find out what they've been up to...
27 June 2017
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Machine learning, meet the ocean
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There is a revolution coming in conservation. Advances in conservation technology are generating more data than ever before on what lives where, who eats who, and what’s disappearing and how fast, but it still requires...
10 May 2017
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WILDLABS Team
Researchers have identified 15 emerging risks and opportunities for species and ecosystems around the world in a recent horizon scanning exercise.
31 March 2017
Funding
Conservation Leadership Programme 2017 Award
WILDLABS Admin
The Conservation Leadership Programme (CLP) is a training and capacity building programme that targets individuals from developing countries who are early in their conservation career and demonstrate leadership...
21 November 2016
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FishFace is a new application under development by The Nature Conservancy in partnership with Refind Technologies. Similar to facial recognition software used to identify people, FishFace uses artificial intelligence to...
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Linkedin mainly. iNaturalist and eBird ofc but these are more communities than real social networks. But, and this is a real advice, a good RSS feed reader with all your... |
+5
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AI for Conservation, Community Base | 2 months 3 weeks ago | |
| Hi Maureen, thanks a lot for this. Seemed more or less perfect so I applied :)Also didn't realise there was a slack community so I'll be scanning that too... |
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AI for Conservation | 2 months 3 weeks ago | |
| Hey everyone,On Monday, we are starting the test phase of our first MVP version!We are looking for a limited number of testers and still... |
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AI for Conservation | 3 months ago | |
| Hi Dan, Not right now but I can envision many uses. A key problem in RS is data streams for validation and training of ML models, its really not yet a solved problem. Any... |
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Emerging Tech, AI for Conservation, Animal Movement, Build Your Own Data Logger Community, Camera Traps, Connectivity, Conservation Tech Training and Education, Data management and processing tools, Geospatial, Sensors | 3 months 1 week ago | |
| Thanks @eugenegalaxy . Much appreciated and I will go through this thoroughly! |
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AI for Conservation | 3 months ago | |
| Hey Bob, thanks for the kind words! Your articles on Winterberry Wildlife have really been a big inspiration for me! There are extremely limited numbers of articles on trial... |
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AI for Conservation, Camera Traps | 3 months ago | |
| This is probably the most realistic one I've seen made by this tool (stable-difussion v1.5) |
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AI for Conservation | 3 months 1 week ago | |
| We just wanted to share this news outside the core robotics community - hoping to connect more with conservationists, researchers,... |
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AI for Conservation, Drones | 3 months 2 weeks ago | |
| Hi Lucie @luciegallegos ,Great to see ecoSecrets and happy to collaborate in any way I can! All EcoAssist's models are open-source, and the inference code too. With regards to... |
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Software Development, AI for Conservation, Camera Traps | 3 months 2 weeks ago | |
| Another question. Right now pretty much all camera traps trigger on either PIR sensors or small AI models. Small AI models would tend to have a limitation that they would... |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 months 2 weeks ago | |
| Hi Lucille,Thank you for your reply! We’d be really interested in learning more about your developments. We’ll contact you soon to arrange a discussion.Thank you.Best regards,... |
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Acoustics, AI for Conservation, Sensors | 3 months 2 weeks ago | |
| Hi Lorenzo,I highly recommend the OpenSoundscapes package (developed by the Kitzes Lab at U Pittsburgh) - there are workflows to build your own CNNs there, the documentation is... |
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Acoustics, AI for Conservation, Animal Movement, Open Source Solutions | 3 months 2 weeks ago |
