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!
- @ARobillard
- | He/Him
A conservation data scientist and field ecologist with broad interest in the application of machine learning and population genetics to the conservation of threatened species. Alex has conducted field studies throughout central and south America, the Caribbean, and North America.
- 1 Resources
- 0 Discussions
- 7 Groups
- @nick56swim
- | He
I am an IoT and embedded ML developer. I am also a nature enthusiast with keen interest in conserving the endangered species
- 0 Resources
- 0 Discussions
- 4 Groups
St. Lawrence University
Professor of Biology at St. Lawrence University
- 0 Resources
- 2 Discussions
- 13 Groups
- @DBayley
- | He/him
Fauna & Flora & University College London (UCL)
I'm a tropical marine ecologist, specialising in coral reefs, MPAs, and blue carbon. Within conservation technology my focus has been around developing underwater imaging techniques, primarily to assist coral reef monitoring
- 0 Resources
- 1 Discussions
- 5 Groups
- @nicoboenisch
- | He / him / his
Co-Director FOS Europe, Conservation Strategist and Technical Advisor to the Miradi Software Team, Improving Conservation through Adaptive Management and Evidence-based Learning
- 0 Resources
- 0 Discussions
- 8 Groups
- @ggmelone
- | she/her
University of Wisconsin-Madison
I am an ecologist and entomologist interested in the effects of climate-change driven stressors on plant-pollinator interactions. I use computer vision camera traps to collect high quality data on insect activity!
- 0 Resources
- 0 Discussions
- 4 Groups
- 0 Resources
- 0 Discussions
- 4 Groups
- @EliThore
- | He/Him
Swedish University of Agricultural Sciences
I am a biologist with a broad interest in how the environment affects the behaviour and ecology of wildlife. I also like seeking creative and practical solutions to reduce our impact on the environment.
- 0 Resources
- 0 Discussions
- 5 Groups
I am a budding engineer doing Electrical and Telecommunications Engineering and I am passionate about innovation and technology and how I can use it to make an impact in society.
- 0 Resources
- 0 Discussions
- 5 Groups
Siren Project Executive @ African Marine Mammal Conservation Organization (AMMCO). 20+ year in technology. Polyglot. Divemaster.
- 0 Resources
- 0 Discussions
- 3 Groups
- 0 Resources
- 0 Discussions
- 7 Groups
Co-founder and CEO of Goldfish.io
- 0 Resources
- 1 Discussions
- 6 Groups
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
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
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
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
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
New horizon scanning report published this month identifies 15 emerging threats and opportunities for global biodiversity.
3 February 2016
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
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
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
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
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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Traceability (knowing where products come from and how they are made) is a foundational pre-cursor for many sustainability interventions. While many tools have been developed to offer high-level insight about the...
26 November 2015
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Description | Activity | Replies | Groups | Updated |
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We are working on the identification of the threats along the flyway of the Egyptian vulture, endangered vutlure species migrating from... |
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AI for Conservation | 7 years 11 months ago | |
Hi Jason, Thanks for sharing this demo, it's interesting to see the fluke id process in action. Is this part of the flukebook project? How do you see the project... |
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AI for Conservation | 8 years ago | |
Hi folks! The team at Skytruth (responsible for Global Ocean Watch) are looking for a machine learning developer. It might be of... |
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AI for Conservation | 8 years 4 months ago | |
Hi, I am jason Holmberg from WildMe.org. I am one of the developers of Wildbook (wildbook.org), an open source data management platform for wildlife research. I'm... |
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AI for Conservation | 8 years 4 months ago | |
I'd like to suggest our open source package Wildbook (http://www.wildbook.org) as a base data management platfor for this. I agree with the above that there are a number of... |
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AI for Conservation | 8 years 4 months ago | |
Over the past year the open data GDELT Project (http://gdeltproject.org/), which monitors local news coverage worldwide in... |
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AI for Conservation | 8 years 5 months ago |