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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- @ZoeDagan
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I'm Zoe, an ecologist at the intersection of SaaS, conservation, and community science. I build programs and advance projects that accelerate solutions to our most urgent climate and conservation challenges.
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- @crazybirdguy
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Field Biologist at Yayasan Cikananga Konservasi Terpadu, Indonesia, with experience and interest mainly in ornithology, citizen science and bioaccoustic
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DrivenData
Lead Data Scientist and developer of zamba, a tool for automatic species classification from camera traps
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PhD Candidate in autonomous marine biodiversity modelling
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FruitPunch AI
CTO and Founder of FruitPunch AI
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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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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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Article
More than half of all primate species are endangered, including our closest living relative, the chimpanzee. Could Passive Acoustic Monitoring (PAM) be applied to primates as well as it has been for other taxa? In this...
29 June 2016
Article
TEAM Network and Wildlife Insights
Eric Fegraus
Operating the largest tropical forest camera trap network globally, TEAM Network has accumulated over 2.6 million images. How can large datasets coupled with new techniques for data management and analysis provide...
28 April 2016
Article
Camera traps have revolutionised wildlife research and conservation, enabling scientists to collect photographic evidence of rarely seen and often globally endangered species, with low expense, relative ease, and...
20 April 2016
Article
ContentMine: Mining Helpful Facts for Conservation
Jenny Molloy
Thousands of papers and reports about flora and fauna are published each year. While peer-reviewed published information is vitally important to conservation organisations, the ever-increasing mountain of information...
5 April 2016
Article
When Victoria Espinel, President and CEO of BSA | The Software Alliance, spoke at the WWF Fuller Symposium, she took us on a whistle-stop tour of case studies where software and data are transforming our understanding...
10 March 2016
Funding
Ecotech Grants from the Captain Planet Foundation
WILDLABS Admin
The Captain Planet Foundation is offering EcoTech grants in the amount of $2,500 to engage children in inquiry-based project in STEM fields.
18 February 2016
Article
Report outlines 2016's most pressing conservation issues
Olivia Bailey
New horizon scanning report published this month identifies 15 emerging threats and opportunities for global biodiversity.
3 February 2016
Article
Wildlife Crime Tech Challenge: Winners Announced!
WILDLABS Admin
From artificial “sniffer” technologies to portable DNA sequencers, the Wildlife Crime Tech Challenge received hundreds of innovative ideas to help stamp out wildlife crime. Now, the Challenge is proud to announce 16...
22 January 2016
Article
Big Data and Conservation: Deluge or Drought?
WILDLABS Admin
Dr. Lucas Joppa, Scientist at Microsoft Research, considers the evolving impact of data in conservation and society. He examines the difference between ‘big data’ and ‘small data’, and explores how models such as the...
22 December 2015
Article
Cheap Space, DIY Imaging and Big Data
WILDLABS Admin
John Amos, President of SkyTruth, explores how remote sensing is being used in conservation today and the importance of sky-truthing. He examines the role that citizen scientists can play in increasing transparency in...
21 December 2015
Article
The Impact of the Internet of Things
WILDLABS Admin
Gary Atkinson, Director of Emerging Technologies at ARM, explains why we should be interested in the Internet of Things. Could it be a game changer for conservation?
10 December 2015
Article
Harnessing Big Data to Combat Illegal Wildlife, Timber and Fisheries Trade
Rachel Kramer and 2 more
The 2015 Fuller Symposium brought together thought leaders in science, policy, business, conservation and development to tackle emerging issues facing our planet. This framing piece was developed to support a Fuller...
26 November 2015
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Really interesting, I will take a look |
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AI for Conservation, Camera Traps, Data management and processing tools, Emerging Tech | 9 months 3 weeks ago | |
| Great new!! |
+15
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AI for Conservation | 9 months 3 weeks ago | |
| Hi Carly, thank you for the advice! I am only focusing on the two birds for now - my goal is to use part of the iNaturalist data I have pulled to train the model and the rest to... |
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AI for Conservation | 9 months 3 weeks ago | |
| Thank you so much! Now everything is in the hands of amazing organizations and companies! But the first results of the Disaster Management cohort are bringing a very optimistic... |
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AI for Conservation, Climate Change, Early Career, East Africa Community, eDNA & Genomics, Emerging Tech, Ending Wildlife Trafficking Online, Human-Wildlife Conflict, Open Source Solutions | 9 months 3 weeks ago | |
| great! |
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AI for Conservation | 9 months 3 weeks ago | |
| interesting!!! |
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AI for Conservation, Animal Movement, Data management and processing tools | 9 months 3 weeks ago | |
| so great!!! |
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Software Development, AI for Conservation, Animal Movement | 9 months 3 weeks ago | |
| @bluevalhalla thanks for sharing the awesome video, sounds like a great project! |
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AI for Conservation | 9 months 3 weeks ago | |
| Hi everyone, I am conducting a research project as part of my MSc in Environment and Development at the London School of Economics. I... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects, Ethics of Conservation Tech | 10 months ago | |
| @cmwainaina please take a look |
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Animal Movement, AI for Conservation, Camera Traps, Connectivity, Data management and processing tools, East Africa Community, Emerging Tech, Ethics of Conservation Tech, Human-Wildlife Conflict, Marine Conservation, Protected Area Management Tools, Geospatial, Sensors, Software Development | 10 months ago | |
| Glad to announce that a new tutorial is available on Firetail: |
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AI for Conservation, Animal Movement | 10 months 2 weeks ago | |
| The use of synthetic training data such as interpolated sequence values is common, but fraught with the issue of your synthetic signal generating features that are not true to... |
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Data management and processing tools, AI for Conservation | 10 months 3 weeks ago |
