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!
- @billoxbury
- | he/him
Mathematician and data/AI scientist, interested in environmental applications; wildlife photographer and volunteer.
- 0 Resources
- 0 Discussions
- 1 Groups
- @Anandi7316
- | she / her
- 0 Resources
- 0 Discussions
- 5 Groups
World Wide Fund for Nature/ World Wildlife Fund (WWF)
- 0 Resources
- 12 Discussions
- 15 Groups
- @Alejandro
- | He
This climate crisis does not have to be a story of loss but rather a story of redemption, rebirth, and change. My paintings capture the spiritual nature, the grounding energy of our shared existence with the natural world. AML-ART.COM
- 0 Resources
- 0 Discussions
- 3 Groups
- @jodirowley
- | she/her
Conservation biologist obsessed with frogs
- 1 Resources
- 0 Discussions
- 5 Groups
Sound art and design
- 0 Resources
- 1 Discussions
- 2 Groups
- @apcxs
- | He, his, them
- 0 Resources
- 0 Discussions
- 11 Groups
- 1 Resources
- 5 Discussions
- 9 Groups
I am a Geoscientist interested in using geospatial data science to contribute to solutions of today’s environmental challenges. I mostly worked with land surafce temperature data from satellites and drones to study how high mountain landscapes respond to climate change.
- 0 Resources
- 0 Discussions
- 6 Groups
- @Helga_Kuechly
- | she/her
World Wide Fund for Nature/ World Wildlife Fund (WWF)
I am a Geo-ecologist, who loves to use GIS, remote sensing, citizen science and knowledge transfer to shape for a better future for nature - We are part of nature, so let's act like it!
- 2 Resources
- 1 Discussions
- 8 Groups
- @lconfuron
- | Laetitia
- 0 Resources
- 0 Discussions
- 2 Groups
Ranger Campus
- 0 Resources
- 3 Discussions
- 6 Groups
Link
Absolutely fascinating uses of AI for equitable conservation! Hope it inspires you!
21 March 2025
Careers
Naturalis is looking for a postdoc in AI for Ultrasonic Bioacoustic Monitoring!
21 March 2025
This thesis concludes that artificial intelligence offers valuable opportunities for mitigating the impacts of climate change on wildlife with careful consideration of its limitations and ethical implications.
10 March 2025
Funding
Arctic Community Wildlife Grants Program
World Wide Fund for Nature/ World Wildlife Fund (WWF)
WWF's Arctic Community Wildlife Grants program supports conservation, stewardship, and research initiatives that focus on coastal Arctic ecology, community sustainability, and priority Arctic wildlife, including polar...
7 March 2025
Article
Advancing Hierarchical Classification of Ocean Life
Lilli Wakinekona Carlsen
Join the FathomNet Kaggle Competition to show us how you would develop a model that can accurately classify varying taxonomic ranks!
4 March 2025
Careers
PHD IN AUTOMATED FRESHWATER DIATOM ANALYSIS USING DEEP LEARNING
Xavier Mestdagh
Up to 48 months contract - 14+22 (+12) | Belvaux
25 February 2025
Careers
Up to 6 months internship position to work on DiMON project which aims to develop a non-lethal, compact device that, when coupled with traditional entomological traps, captures high-resolution, multi-view insect images...
25 February 2025
Link
GhostNetZero.ai
Alex Rood
Using advanced AI technology, GhostNetZero.ai analyzes the collected sonar data to identify specific locations where ghost nets are likely to be found. This enables the recovery of these abandoned nets and helps to rid...
13 February 2025
Article
workshop introduced participants to the power of bioinformatics and next-generation sequencing (NGS) in conservation biology.
10 February 2025
Link
Teaching Children about Empathy for the Endangered Species and for Nature Conservation In celebration of the Earth Conservation Day, @veracityhouse in collaboration with the Nature Conservation Foundation trained...
10 February 2025
Link
Light in the dark: How AI and FLIR cameras are saving black rhinos in Kenya
Elsa Carla De Grandi
Lake Nakuru National Park is one of the first rhino sanctuaries in Kenya where Artificial-Intelligence enabled Forward Looking Infrared (FLIR) camera systems were installed to help curb the escalating poaching of black...
8 February 2025
June 2025
event
Nalini
July 2025
October 2025
event
Lacey Hughey and 3 more
November 2023
73 Products
Recently updated products
16 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| We are putting together a special issue in the journal Ostrich: Journal of African Ornithology and are welcoming (review) papers on the use of AI in bird research. https://www.... |
|
AI for Conservation, Software Development, Citizen Science, Data management and processing tools | 3 months 2 weeks ago | |
| Hi Adrien,Submissions are open for the special addition. Please email David Ehlers Smith - david.ehlers.smith@birdlife.org.za for more details. We are also soliciting reviewers.... |
|
AI for Conservation | 3 months 2 weeks ago | |
| Hello everyone!During my master thesis in engineering (past autumn), I developed Machine Learning for anti-poaching. As such, I recorded a... |
|
Acoustics, AI for Conservation, Data management and processing tools | 3 months 2 weeks ago | |
| Hey everyone! We’re Deep Voice Foundation, a non-profit using AI to help conserve marine wildlife. We develop acoustic... |
|
Acoustics, AI for Conservation | 3 months 3 weeks ago | |
| Hello everyone. My name is Bilal. I recently graduated with a degree in bioengineering and hold a bachelor's degree in computer science,... |
|
AI for Conservation, Animal Movement, Human-Wildlife Conflict, Marine Conservation | 4 months ago | |
| Hey, please find here a dataset about nocturnal bird calls in Europe |
+5
|
Acoustics, AI for Conservation, Software Development | 4 months 1 week ago | |
| Hi Simon,We (Reneco International Wildlife Consultants) have an ongoing collaboration with a local University (Abu Dhabi, UAE) for developing AI tools (cameratrap/drone... |
|
Acoustics, AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Connectivity, Drones, Early Career, eDNA & Genomics, Marine Conservation, Protected Area Management Tools, Sensors | 4 months 1 week ago | |
| @HeinrichS there’s still time for you or anyone else to make a funding submission to the wildlabs 2025 grants ❤️❤️❤️I haven't applied for wildlabs funding, but I would love for... |
|
Human-Wildlife Conflict, AI for Conservation, Camera Traps, Emerging Tech | 4 months 1 week ago | |
| thanks kristy! super helpful list. |
|
Data management and processing tools, AI for Conservation | 4 months 1 week ago | |
| And I see now they can walk vertically up walls like Spider-Man. |
|
Camera Traps, AI for Conservation | 4 months 2 weeks ago | |
| Thank you for the comments. My team will be glad to have this added to the inventory. |
|
AI for Conservation | 4 months 2 weeks ago | |
| I added plain old motion detection because megadetector v5 was not working well with the smaller rat images and in thermal.This works really well: Also, I can see... |
|
AI for Conservation, Camera Traps | 4 months 3 weeks ago |
DAS: A Scaleable Solution For Protected Area Management
26 September 2017 12:00am
The Greenhouse 2017: Planet Saving Technology Series (Syd, Australia)
19 September 2017 2:01pm
Deep Learning Project Repository
10 December 2015 7:53pm
5 August 2016 2:38pm
NOAA Right Whale Recognition Competition, January 2016
364 teams | $10,000 prize
https://www.kaggle.com/c/noaa-right-whale-recognition
Competition Details:
With fewer than 500 North Atlantic right whales left in the world's oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction.
Currently, only a handful of very experienced researchers can identify individual whales on sight while out on the water. For the majority of researchers, identifying individual whales takes time, making it difficult to effectively target whales for biological samples, acoustic recordings, and necessary health assessments.
To track and monitor the population, right whales are photographed during aerial surveys and then manually matched to an online photo-identification catalog. Customized software has been developed to aid in this process (DIGITS), but this still relies on a manual inspection of the potential comparisons, and there is a lag time for those images to be incorporated into the database. The current identification process is extremely time consuming and requires special training. This constrains marine biologists, who work under tight deadlines with limited budgets.
This competition challenges you to automate the right whale recognition process using a dataset of aerial photographs of individual whales. Automating the identification of right whales would allow researchers to better focus on their conservation efforts. Recognizing a whale in real-time would also give researchers on the water access to potentially life-saving historical health and entanglement records as they struggle to free a whale that has been accidentally caught up in fishing gear.
From what I can gather, the winning solution was submitted by deepsense.io. They've written a full blog post about it here:
http://deepsense.io/deep-learning-right-whale-recognition-kaggle/
9 October 2016 12:12am
Wildbook / IBEIS. Open-source effort to combine web-based mark-recapture database with ML/CV photo detection and identification. http://wildbook.org
[ Full disclosure: I am a member of the non-profit team working on this project! ]
2 September 2017 7:40am
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 hypraptive, and maintain the hypraptive blog]
MIT's SLOOP: machine learning (ML) animal image recognition
27 July 2017 2:04am
27 August 2017 7:20am
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?
From the Field: Developing a new camera trap data management tool
7 July 2017 12:00am
Leverage Space Technology for Wildlife Protection with the European Space Agency Kick-start Grant
5 July 2017 12:00am
Trialing Audiomoth to detect the hidden threats under the canopies of Belize
Andrew Hill
and 1 more
27 June 2017 12:00am
Pairing Scientists and Citizen Scientists with AI Assistants
18 May 2017 7:06pm
Machine learning, meet the ocean
10 May 2017 12:00am
Acoustics for Human-Wildlife Conflict Prevention, Anti-poaching, and more
27 April 2017 6:35pm
Welch Labs - Learning to see
31 March 2017 11:10am
31 March 2017 11:45am
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 growing applications of machine learning for conservation, I've been wondering if a 'machine learning 101 for conservation' webinar or article might be a worthwhile resource to look into for our community. In looking for a link to put in here to a UCL course I know exists on this topic, I actually just came across this article: A PRACTICAL GUIDE TO MACHINE LEARNING IN ECOLOGY. Seems that Jon Lefcheck had the same thought as me and got right down to it.
If you're interested in more introductory, practical resources on machine learning, do let me know below! Also, if you know of any other go to tutorials that you've found useful, please share them.
Steph
15 Risks and Opportunities for Global Conservation
31 March 2017 12:00am
Conservation Leadership Programme 2017 Award
21 November 2016 12:00am
We Can Have Oceans Teeming with Fish with FishFace Technology
10 November 2016 12:00am
Tracking megafauna with satellite imagery
11 October 2016 5:08pm
Zoohackathon: 'END LOOP - Coding to end wildlife trafficking'
22 September 2016 12:00am
Video: Discover the SMART Approach
The SMART Partnership
20 July 2016 12:00am
Passive Acoustic Monitoring: Listening Out for New Conservation Opportunities
29 June 2016 12:00am
Wildlife Crime Tech Challenge Accelerator Bootcamp
24 June 2016 12:00am
Digitising powerlines in bird migratory pathways
14 June 2016 8:53pm
Computer Vision to Identify Individual Animals
29 May 2016 4:52am
6 June 2016 11:17am
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 progressing - are there opportunities for people to get involved or challenges it would be helpful to get outside input on?
Cheers,
Stephanie
TEAM Network and Wildlife Insights
28 April 2016 12:00am
Is Google’s Cloud Vision useful for identifying animals from camera-trap photos?
20 April 2016 12:00am
ContentMine: Mining Helpful Facts for Conservation
5 April 2016 12:00am
Disruptive Technology: Embracing the Transformative Impacts of Software on Society
10 March 2016 12:00am
Ecotech Grants from the Captain Planet Foundation
18 February 2016 12:00am
Upcoming GIS and Remote Sensing Courses
9 February 2016 12:00am
[ARCHIVED] Job: ML developer at Skytruth
3 February 2016 1:22pm
Report outlines 2016's most pressing conservation issues
3 February 2016 12:00am
Wildlife Crime Tech Challenge: Winners Announced!
22 January 2016 12:00am
19 September 2017 2:37pm
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 ability to help leapfrog or change corrupt and inefficient power structures can revolutionize the way we approach issues ranging from the supply chain, financial inclusion, human rights abuses, and modern slavery to environmental, energy, and workforce problems.
One source of shared truth and trusted infrastructure can help NGOs, charities, social entrepreneurs, civil societies and companies achieve their mission.
Come and discover the innovators, leaders, and philosophers in the space showcasing their solutions and meet the technologists who can support your needs.
So what is Blockchain, and is it just hype or is it really a Planet Saving Technology?
Speakers and Panellists
• Dr Jane Thomason - CEO Abt Australia, Social Policy Adviser, Devex Impact Strategic Advisory Council, Commentator Blockchain
• Arthur Falls - Director of Media at Consensys / Podcaster, State Change & The Ether Review Podcasts
• Bubba Cook - Pacific Tuna Programme Manager, WWF NZ / Pacific
• Leah Callon-Butler - Member, Advisory Board, RedGrid
• Bridie Ohlsson - External Relations, AgriDigital
July: Virtual Reality and Augmented Reality
With it's origins in science fiction, the idea of Virtual Reality has been around since the 1950's, but in the last few years, with the promise of mobile computing, it's suddenly the talk of the town.
Many are excited by the deep immersive nature and empathetic story telling potential of VR/AR and see huge opportunity in awareness raising and shifting public opinion around important issues.
So what is VR, and it's related technology cousin Augmented Reality, an is it a potential Planet Saving Technology?
Speakers and Panellists
We have a bumper, star-studded panel to unpack, explain and explore this promising technology..
• Kim McKay - CEO, Australian Museum
• Brennan Hatton - Founder, Equal Reality (Augmented Reality Development)
• Parrys Raines - FBGen / Future Business Council / Climate Girl
• Jennifer Wilson - Creative/Digital Strategist, Founder, Lean Forward
• Mikaela Jade - CEO, Indigital (Indigenous storytelling with AR)
• Scott O'Brien - CEO, Humense (Volumetric Video + Virtual Reality) (Panel Moderator)
June: Smart Cities and the Internet of Things
What is a Smart City? How will Smart Cities change the way we organise our lives? Will they bring about the so-called ‘fourth industrial revolution’?
What is the Internet of Things, and does it have the potential to be a Positive Impact Techonology? What are the opportunities and what are the risks?
We explore all this and more in the first of our deep dives into Planet Saving Technology: Smart Cities and the Internet of Things.
Speakers and Panellists
• Frank Zeichner - CEO, IoT Alliance Australia
• Angela Bee Chan - Schneider Electric / Hackathons Australia
• Ben Moir - Snepo Fablab / WearableX
• Monica Richter - Low Carbon Futures, WWF Australia.
• Andrew Tovey - Total Environment Centre, TULIP/Smart Locale (Panel Host)