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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- @ptynecki
- | Piotr
Software Engineer with 10+ years of experience in application design, development, testing and deployment. Highly experienced in Health Care, Life Science and BigData projects. Artificial Intelligence researcher (NLP, Computer Vision) with experience in Wildlife Conservation.
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- @tkswanson
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San Diego Zoo Wildlife Alliance
Research Coordinator II for the Conservation Technology Lab at SDZWA
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San Diego Zoo Wildlife Alliance
Wildlife ecologist with a passtion for conseration technology.
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Artificial Intelligence and Environmental Science Researcher
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PhD Candidate at University College London. Research and develop wireless sensor networks for biodiversity monitoring. Currently working on a software package for AI bioacoustics classifiers on edge device.
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Saint Louis Zoo
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- @AliceFrontiers
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- @MattyD797
- | He/Him
PhD Student | Cornell University | Smithsonian Institution; My focus is in computational ecology within fishery acoustics
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Sea Mammal Research Unit Univ' St Andrews
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- @Namukuru
- | Her/ she
I am an Environmentalist with a background in Data Science. I envision a world where development is founded upon sustainability. I believe in executing projects that leverage innovation to enhance the well-being of the environment, the people, and the economy; simultaneously.
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The Project Manager will work to implement acoustic monitoring projects in countries worldwide with some of the biggest stakeholders in conservation tech and biodiversity monitoring!
12 April 2023
New paper in Journal of Animal Ecology
24 March 2023
💙 Exciting news from Appsilon! Our flagship project, Mbaza AI, is expanding its impact on nature and biodiversity conservation. We’ve teamed up with the 🦏 Ol Pejeta Conservancy to build a model for classifying images of...
16 March 2023
The Innovation in Practice edition of Methods in Ecology and Evolution is still seeking proposals about conservation technology
6 March 2023
Article
Rainforest Connection (RFCx) is bringing back the Arbimon newsletter for 2023! We're excited to share new features and tools of the platform, what's coming up, and some insights into our projects on bioacoustic...
23 February 2023
New technology enabling the automated monitoring of moths has been put to rigorous testing in tropical conditions in Panama by an international team of researchers
22 February 2023
Researchers and conservationists are embarking on a bold initiative to save the world's most trafficked wild mammal — the pangolin
16 February 2023
A machine learning-based solution that can segment the Prosomes and Lipid sacs with sufficient accuracy helps to recognize the ecological plasticity of key Arctic copepods. It allows scientists to learn more about the...
15 February 2023
Technology to End the Sixth Mass Extinction. Salary: $104k-144K; Location: Washington DC or Seattle WA, potential hybrid; 5+ years of Full stack development experience; Deadline March 15th - view post for full job...
10 February 2023
Careers
The British Antarctic Survey’s Artificial Intelligence Lab is looking to hire a machine learning engineer/researcher.
10 February 2023
You will develop and apply novel approaches and machine learning techniques for the detection, classification and identification of marine fauna from passive acoustic monitoring (PAM) validated with paired visual...
10 February 2023
Careers
On the AST Skylight team, you will work with talented engineers, domain experts, and product managers to uncover illegal fishing by developing the tools that help countries around the globe combat this problem.
10 February 2023
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Description | Activity | Replies | Groups | Updated |
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No worries! I'll be trying the other one to see how it works. Thank you for your help! |
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AI for Conservation | 2 minutes 39 seconds ago | |
Fantastic!! |
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Acoustics, AI for Conservation, Biologging, Build Your Own Data Logger Community, Community Base, Early Career, Ethics of Conservation Tech, Marine Conservation, Open Source Solutions | 5 seconds ago | |
The camera can be aimed at the greenhouse background, which is like a huge green screen. Inside the greenhouse there's only a few flying insects, and they would all have to fly... |
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AI for Conservation | 1 day 16 hours ago | |
Hi David - have you seen this opportunity? It may be a good one to apply to for support (the Darwin Initiative). |
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 3 days 10 hours ago | |
Hi everyone! I’m sending some information for a paid user study about Explainable AI and bird identification that may be of interest:Our... |
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AI for Conservation, Citizen Science | 5 days 16 hours ago | |
I am also commenting for future notifications - very interested to hear some responses.While not directly related to AI, here in Canada there's quite a conversation around data... |
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AI for Conservation | 2 weeks ago | |
Yes, this system is designed to be installed near farms. We also have the repeller system with audio & light, that is battery & solar powered. This system is a "last line... |
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AI for Conservation | 3 weeks 5 days ago | |
Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where... |
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AI for Conservation, Emerging Tech | 1 month ago | |
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou! |
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AI for Conservation, Citizen Science | 1 month ago | |
Hi Sol,If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 1 month ago | |
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 1 month ago | |
We're seeking training data for AI for wolf ID - we at T4C manage 3 Wildbook platforms: Wild North, Whiskerbook and the... |
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AI for Conservation | 1 month 1 week ago |
AI + Environment Summit
26 October 2023 11:15am
Entomological Research Specialist for Automated Insect Monitoring
25 October 2023 7:21pm
Lead Data Engineer - Climate Solutions, Open Earth
25 October 2023 11:07am
Automated moth monitoring & you!
24 October 2023 8:52am
Biodiversity modelling in the AI era
23 October 2023 12:03pm
Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests
20 October 2023 3:38pm
New paper in Nature Communications from Jörg Müller et al. using BAR-LT recorders and CNNs to track biodiversity recovery. Study shows that #soundscapes 🎙🎶 and deep learning are powerful tools for tracking biodiversity recovery in tropical forests
ZSL Research Fellow (x3 roles)
20 October 2023 3:34pm
PhD Opportunity: YELLOWHAMMER - Individual acoustic monitoring to study song culture evolutionwithin and between dialect areas
20 October 2023 12:54pm
PhD Opportunity: Distributed sound source localisation and separation for wireless microphone networks consisting of two-microphone nodes
20 October 2023 12:47pm
PhD Opportunity: 'FLOATERS' position at Bioacoustic AI Doctoral Network
20 October 2023 12:36pm
Catch up with The Variety Hour: October 2023
19 October 2023 11:59am
Anyone else attending ADSA in Texas next week?
17 October 2023 8:46pm
Practical strategies for conservationists in an increasingly digital world
9 October 2023 5:04pm
Leveraging new digital technologies for conservation impact
9 October 2023 4:39pm
AI Challenge aiming to automate the identification process of sea turtles
6 October 2023 11:38am
The current method of tagging turtles for monitoring is intrusive, time-consuming, and expensive. Find out how automated recognition software using photo and video data can enhance monitoring efficiency and assist organizations dedicated to protecting these important species.
Four Amazing Impacts of This A.I.-Powered Bird Migration Tracker | Science| Smithsonian Magazine
5 October 2023 4:26pm
Check out how BirdCast's newest advances can provide detailed flight forecasts of millions of birds!
GEO BON Monitoring Biodiversity for Action
5 October 2023 3:10pm
Mozilla Foundation, funding for nature conservation
4 October 2023 6:30pm
🚀 New Grant: 'Satellites for Biodiversity Award' Round 2
2 October 2023 1:50pm
GIS & Data Science Specialist
28 September 2023 1:32pm
Conservation Innovation Manager
27 September 2023 11:08pm
1st Wildlife Scientific Conference 2023
25 September 2023 11:10am
Geospatial Data Scientist, Varaha
25 September 2023 9:58am
Digital Disruption for Conservation Toolkit
22 September 2023 12:18pm
Made available by the Digital Disruption and the Future of Conservation project team at Unearthodox, the toolkit provides conservation practitioners with a comprehensive introduction to Web 3.0 and AI concepts and their potential use for nature conservation.
IUCN and AI2 to provide AI technology at no cost to fast-track implementation of newly signed UN High Seas Treaty
22 September 2023 9:54am
Q&A: UK NERC £3.6m AI (image) for Biodiversity Funding Call - ask your questions here
13 September 2023 4:10pm
*NEW* White Paper: Harnessing the Power of Sound & AI to track Global Biodiversity Framework (GBF) Targets
20 September 2023 12:53pm
DSAIL Tech4Wildlife Workshop Tutorials Now Available!
20 September 2023 12:22pm
Mozilla Technology Fund: AI and Environmental Justice Awards
15 September 2023 12:09pm
In case you missed it... (no. 1)
12 September 2023 11:49am
13 September 2023 6:23am
21 September 2023 4:27pm
This is super cool! Me and @Hubertszcz and @briannajohns and several others are all working towards some big biodiversity monitoring projects for a large conservation project here in panama. The conservation project is happening already, but hubert starts on the ground work in January and im working on a V3 of our open source automated insect monitoring box to have ready for him by then.
I guess my main question would be if this funding call is appropriate/interested for this type of project? and what types of assistance are possible through this type of funding (researchers? design time? materials? laboratory field construction)