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!
I've been working in IT for the past four years and Cybersecurity for the past year and a half. I'm looking to leverage my technical skills towards conservation purposes. I'm new on this journey and excited to jump of volunteer activities where I'm able!
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- @volkankorkmaz
- | volkan
I have been working at the Underwater Association , to protect nature since 94 . Since 1992, I have been a PADI diving instructor
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Smart Parks
Founder of Smart Parks - www.smartparks.org / Founder of OpenCollar - https://opencollar.io



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Dzanga-Ndoki national park biodiversity monitoring



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- @derekrisch
- | He/Him
I'm a conservation ecologist working on invasive mammalian species. Use a variety of monitoring methods which provide an enormous amount of data (yay!) but require a lot of effort to process (nay!). Love keeping up to date on newest tech.
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- @cleo
- | She/Her
Southern African Wildlife College
I am ecologist working in African conservation areas who loves wildlife & wild landscapes. I increasingly recognize that conservation is about people, especially those living in & around protected areas. Finding ways to benefit marginalized people is my passion.

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Technologist, birder, photographer and mountain guide.
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- @vandita_shukla
- | she/her
PhD candidate studying drone flight planning for enabling tracking and identification of individual characteristics of wildlife; member of the WildDrone, an MSCA Doctoral Network funded by the European Union’s Horizon Europe research
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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
Article
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
With Arctic sea ice disappearing, can advanced sensor technologies provide insights into an ecosystem on the brink?
30 November 2017
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
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
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
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
Article
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
Researchers have identified 15 emerging risks and opportunities for species and ecosystems around the world in a recent horizon scanning exercise.
31 March 2017
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
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...
10 November 2016
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Description | Activity | Replies | Groups | Updated |
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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 4 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 4 weeks ago |