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!
No showcases have been added to this group yet.
- @Nix
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Hello! I'm Amélie, founder of Nix Air Solutions, a company offering wildlife monitoring solutions including biologging IoT trackers and software tools for real time tracking, data cleaning and processing through AI.


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Movement Ecologist studying the where, why, and how animals move throughout our world. Current work is investigating the movement and energetics of large neotropical bats in a changing environment with ephemeral resources.



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- @matt_hron
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Wildlife Protection Solutions (WPS)
Product Manager at Wildlife Protection Solutions



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- @maddy
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Iam a Doctorate in molecular bology by profession & associated with a tech startup, focued on IoT/sensor based automation solutions. But I spend half of my time to document and conserve local & wildlife arond us and trying to explore our technology in conservation.Love to join
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- @tomwhite101
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Agroecology Geek
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- @benitezl
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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- @heiabb02
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Early Career Wild Felid conservationist with BS in Biology & Zoology
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- @Kathinja
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A Geography Graduate with a keen interest in Geographic Information systems(GIS), a climate enthusiast, sustainable development, conservation effort and green technologies
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Asst. Prof @ MIT with research at the intersection of computer vision, biodiversity monitoring, conservation, and sustainability.



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Cornell University


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In a first, UMass Amherst, Cornell use AI to mine big migration data on massive scale
9 October 2019
Rutgers University, Microsoft AI for Earth, Google Earth Outreach and San Diego Zoo Global are proud to announce the world’s first camera trap technology symposium, to take place November 7th and 8th at Google...
2 September 2019
Sharing failure, tech support for conservation, roaming mentors, conservation tech hype cycles and developing new road maps - participants in our tech workshops at ICCB 2019 shared an abundance of ideas for how to shape...
21 August 2019
In this case study, Cooper Oelrichs of Save Indonesian Endangered Species Fund (SIES) breaks down his proposal for the development and training of an automated rhino identification system from limited camera trap data.
27 July 2019
The WILDLABS TECH HUB is supporting technology solutions tackling the illegal wildlife trade, in collaboration with the Foreign & Commonwealth Office, Digital Catapult, Satellite Applications Catapult, Amazon Web...
4 June 2019
To further their missions, LDF and Microsoft are collaborating on the AI for Earth innovation grant to support applicants in creating and deploying open source machine learning models, algorithms, and data sets that...
4 June 2019
Traditionally, illegal wildlife trade thrived in physical markets. But today it has also moved online. In China, more than half of the trade in elephant ivory items happens on e-commerce platforms. Enrico Di Minin and...
31 May 2019
This webinar recording will provide a brief overview of current SMART functionality, highlight case studies of large scale and innovative SMART deployments, and detail how SMART is embracing and leveraging new...
21 May 2019
In February, we released an open call for the WILDLABS TECH HUB, offering 3 months of support for solutions using technolgy to tackle the illegal wildlife trade. We were overwhelmed by an incredible 37 submissions,...
13 May 2019
To realise the potential benefits of data for our societies and economies we need trustworthy data stewardship. We need to establish different approaches to deciding who should have access to data, for what purposes and...
15 April 2019
Happy World Wildlife Day! To celebrate, this week we've asked our community to share photos showing how they are using tech in the field or the lab, using the #Tech4Wildlife hashtag.
3 March 2019
After a promising first run in Namibia, a Swiss project could aid savanna conservation using drones and automatic image analysis.
18 February 2019
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Description | Activity | Replies | Groups | Updated |
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In case you missed it, last year the British Ecological Society published A Guide to Reproducible Code in Ecology and Evolution... |
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AI for Conservation | 7 years 4 months ago | |
Hey Steffen, I know you've had a student working on this challenge for the past year - how is this project progressing? If you (or your student) have a moment,... |
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AI for Conservation | 7 years 9 months ago | |
Hi Kate, It's really exciting to hear that you've now launched the challenge, congratulations on getting to this point! It's going to be interesting to... |
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AI for Conservation | 7 years 10 months ago | |
If you're interested, you can check out the live recordings from past events (links below take you to the videos): August: The Blockchain The Blockchain's potential... |
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AI for Conservation | 7 years 10 months ago | |
Hypraptive and Brown Bear Research Network collaboration to develop a deep learning, brown bear face identification system: BearID Project. [Disclosure: I am a member of... |
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AI for Conservation | 7 years 11 months ago | |
It looks like they haven't updated for a couple of years do you know if it is still active or are they changing to a different system like tensor flow? |
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AI for Conservation | 7 years 11 months ago | |
Here' s a press release we put out today talking about how we're using a deep convolutional neural network to find and curate whale... |
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AI for Conservation | 8 years 2 months ago | |
For those interested: in the acoustics channel I have posted news on our sound event recognition sensor, using conv-net: https://... |
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AI for Conservation | 8 years 3 months ago | |
Ah! Thanks for posting this Tom. It's such a well designed, simple to understand video series, and the backing track is utterly delightful. Given the... |
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AI for Conservation | 8 years 4 months ago | |
Hello all, I'm looking at using a combination of machine learning and satellite imagery to identify and count individual animals,... |
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AI for Conservation | 8 years 10 months ago | |
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 | 9 years 2 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 | 9 years 2 months ago |