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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- 5 Discussions
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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
- | He/Him
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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Careers
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The Arbimon newsletter is back!
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Tropical pilot of insect camera traps
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Researchers and conservationists are embarking on a bold initiative to save the world's most trafficked wild mammal — the pangolin
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Zooplankton Prosome and Lipid Sac Segmentation
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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
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AI, sensors enhance wildfire detection
Stephanie O'Donnell
A pilot program in Oregon’s Willamette Valley will test how well artificial intelligence-enabled sensors can identify and characterize wildfires, which will help with responder resource allocation and boost community...
15 February 2023
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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
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Machine Learning Scientist
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The British Antarctic Survey’s Artificial Intelligence Lab is looking to hire a machine learning engineer/researcher.
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Research Associate - Machine Learning (Underwater Sound)
Stephanie O'Donnell
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
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Engineering Manager, Skylight
Allen Institute for AI
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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AI for Biodiversity Webinars
Isobel Ashbey
Just had this in my inbox, thought I'd share!
9 February 2023
Link
Hi! I created a new tutorial video on how to annotate high density acceleration data using Firetail 10 (www.firetail.de). In particular, I cover * how to automatically segment your data * how to edit and modify...
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Hi everyone! We were so delighted to have Adrien along to our June Variety Hour to share more about the Nocturnal Bird Migration project. If you missed it, you can catch up with... |
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AI for Conservation | 1 year 10 months ago | |
| During Andrew's talk in our June Variety hour (see here), @dmorris put out a call in the chat that might be relevant to our marine and ai... |
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AI for Conservation, Marine Conservation | 1 year 10 months ago | |
| During Andrew's talk, @dmorris put out a call in the chat that might be relevant to folks catching up on the video, so I'll drop it here too: Re: Andrew's fish work... part... |
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AI for Conservation, Camera Traps, Drones, Marine Conservation | 1 year 10 months ago | |
| Thanks, @pvlun,@pvlun we are going to try it to develop a model for feral cat and rat detection in camera trap. |
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AI for Conservation | 1 year 10 months ago | |
| A new COST action has been announced which will focus on the use of computer vision for monitoring insects.InsectAI will run for 4 years... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 1 year 10 months ago | |
| 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! |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Drones, eDNA & Genomics, Emerging Tech, Geospatial | 1 year 11 months ago | |
| Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills. |
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Acoustics, AI for Conservation, Camera Traps, Drones | 2 years ago | |
| Hey everyone, I am super excited to share two announcements with the Community!🏆🌍 Our flagship Data4Good project - Mbaza AI... |
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AI for Conservation, Camera Traps | 2 years ago | |
| 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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AI for Conservation, Citizen Science, Software Development | 2 years ago | |
| Hi everybody 👋🏽,I'm a UX designer, and I design interfaces and improve user experiences/flows. I would love to contribute to conservation... |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Conflict | 2 years ago | |
| greetings! i sent you a PM regarding this, feel free to contact me however is most convenient for you - regards,chris |
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Acoustics, AI for Conservation, Camera Traps, Climate Change, East Africa Community, Wildlife Crime | 2 years ago | |
| I'm looking for any recommendations for any entry level/internship remote roles/companies in the United States that are focused in... |
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AI for Conservation, Conservation Tech Training and Education, Early Career, Geospatial | 2 years 1 month ago |
The Wildlife Society Conference
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Catch up with The Variety Hour: June 2023
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CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling
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FathomNet Workshop @CVPR 2023
15 June 2023 12:27pm
Apply for the Google for Startups Accelerator: Climate Change Middle East & Africa Program
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Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture
9 June 2023 10:14am
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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
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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!
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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
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Deadline Approaching: Conservation Tech Award
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Photo Quadrats, AI, and MERMAID: A Case Study from Mozambique
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Crowdsourcing individual ID for pop dyn?
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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?
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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.