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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Michigan Natural Features Inventory (MNFI)
Wildlife ecologist
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Technologist & Wildlife Photographer at Google
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Biologist in Geneva
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Petnerup
Animal tech startup founder
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Msc student on wildlife management and conservation
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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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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I'm a Data Scientist at Western EcoSystems Technology. I am interested in AI processing and statistical modeling of acoustic data and camera trap and drone imagery.
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Wild Me
Software Engineer for Wildlife Conservation
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Article
Article from Ars Technica about how difficult it is to detect and avoid kangaroos...
3 April 2024
18 month postdoc research position, Netherlands, EU-funded
28 March 2024
Article
You’re invited to the WILDLABS Variety Hour, a monthly event that connects you to conservation tech's most exciting projects, research, and ideas. We can't wait to bring you a whole new season of speakers and...
22 March 2024
Join our multi-national team at the AI for Biodiversity Change Global Climate Center! We're hiring a Research Data Manager & Tech Coordinator at Ohio State. Support cutting-edge research on climate change &...
15 March 2024
Catch up on the conservation tech discussions and events that happened during World Wildlife Day 2024!
7 March 2024
EcoAssist introduces a free African species identification model for camera trap images, capable of recognising 30 species.
5 March 2024
Join us to help prevent biodiversity loss! Understory is hiring a postdoc to lead R&D Development on generalizing Computer Vision models for vegetation identification across space/time/phenotypes.
29 February 2024
Join the Luxembourg Institute of Science and Technology (LIST) in pioneering environmental and ecological monitoring! 🌍💡 As part of ERIN’s Observatory for Climate, Environment, and Biodiversity (OCEB), you'll be at the...
26 February 2024
SNTech are recruiting for 3 roles to assist us to develop computer vision pipelines for underwater monitoring
15 February 2024
We invite applications for the third Computer Vision for Ecology (CV4E) workshop, a three-week hands-on intensive course in CV targeted at graduate students, postdocs, early faculty, and junior researchers in Ecology...
12 February 2024
The primary focus of the research is to explore how red deer movements, space use, habitat selection and foraging behaviour change during the wolf recolonization process.
10 February 2024
Applications open for a PhD position in plant vibroacoustics at the University of Southampton
8 February 2024
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Description | Activity | Replies | Groups | Updated |
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Hi everyone! I’m sending some information for a paid user study about Explainable AI and bird identification that may be of interest:Our... |
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AI for Conservation, Citizen Science | 49 seconds ago | |
Hi Johnathan, There is a Canadian company more or less doing that. They have their own endurance drone and optical/thermal cameras. Very much keyed into surveys and they may... |
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AI for Conservation | 1 day 15 hours ago | |
Aakash, that is a really amazing offer, we really need people capable of analyzing the radar data and used to working with signal processing I will reach out to you now. |
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 1 day 20 hours ago | |
I am also commenting for future notifications - very interested to hear some responses.While not directly related to AI, here in Canada there's quite a conversation around data... |
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AI for Conservation | 1 week 1 day ago | |
Yes, this system is designed to be installed near farms. We also have the repeller system with audio & light, that is battery & solar powered. This system is a "last line... |
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AI for Conservation | 2 weeks 6 days ago | |
Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where... |
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AI for Conservation, Emerging Tech | 4 weeks ago | |
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou! |
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AI for Conservation, Citizen Science | 4 weeks 1 day ago | |
Hi Sol,If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 4 weeks 1 day ago | |
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 1 month ago | |
We're seeking training data for AI for wolf ID - we at T4C manage 3 Wildbook platforms: Wild North, Whiskerbook and the... |
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AI for Conservation | 1 month ago | |
Hi Phani,An entry point might be to participate in a challenge related to conservation on:KaggleDrivenDataFruitPunchMax Planck Institute of Animal BehaviorYou could also reach out... |
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AI for Conservation | 1 month 1 week ago | |
[oops, the same reply got submitted twice and there doesn't seem to be a "delete" button] |
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AI for Conservation, Camera Traps | 1 month 1 week ago |
Connection needed!
15 November 2022 4:23pm
24 November 2022 3:55pm
Thank you so much!
2 December 2022 3:14pm
Hahaha, now I see why you were asking ...
Opportunity: networking, funding and more... | WILDLABS
Calling early-career folks and innovative thinkers - the future leaders of their fields! We have a fantastic opportunity to attend a virtual event that will facilitate network building, discussions around digital tools for conservation and the environment, and even an opportunity for funding. All things that I know early-career people are keen for! All welcome to apply - all disciplines and sectors (academics, industry, NGOs, policymakers, indigenous people and community groups...) are all invited to take part. We are particularly keen to encourage applications from women and people based in South Asia and South-East Asia. Please apply yourself, or share this with anyone who might be interested to take part. More details about the event here:
wildlabsnetPhD Positions at University of Michigan CSE
23 November 2022 3:02pm
MozFest 2023 call for proposals on Tech & Biodiversity
22 November 2022 11:10am
Dear AI, We Have Trust Issues
14 November 2022 11:09pm
Hierarchical Deep Learning to Improve Automatic Classification of Pests and Biodiversity Monitoring in Agroecosystems
8 November 2022 3:46pm
Spatial Data Analysis, TNC
8 November 2022 11:34am
Senior AI Research Scientist, Earth Species Project
8 November 2022 11:27am
New paper: Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity
7 November 2022 7:10pm
Opinion paper describing "how data acquired from remote sensing, citizen science & other monitoring approaches could feed in near-real time to an early warning system for biodiversity that integrates automated red-listing of species with the identification of priority areas for conservation."
Environmental Monitoring: Necessary, Not Sufficient, Sometimes Problematic
28 October 2022 12:51am
ConservationAI
20 October 2022 2:41pm
20 October 2022 7:32pm
Out of curiosity, what are the similarities/differences between your platform and other image classification ones such as Wildlife Insights, WildID, ZambaCloud? I don't mean that in like a "what's best" way, just would be great to better understand the the details so that people can assess what to try for their specific use cases & applications!
It would be great to have a comparative specs sheet of sorts! Peter Gyurov started something like that: https://www.notion.so/Camera-Trap-Pipeline-Solution-Comparison-2eac80825c4941b0b2b5fad3daea1cc3. Would be great to add ConservationAI to this list!
Conservation Technology Intern (Vietnam)
19 October 2022 9:22am
Introducing G.AI.A: Artificial Intelligence and Planetary-Scale Environmental Management
13 October 2022 1:48am
Try AI Micro-Internship 2023
11 October 2022 5:42pm
Upcoming WWF Webinar Series: Artificial Intelligence and Conservation
11 October 2022 12:30pm
Artificial Intelligence and Conservation: Ethics
11 October 2022 12:28pm
Artificial Intelligence and Conservation: Prediction
11 October 2022 12:27pm
Artificial Intelligence and Conservation: Where We Are Now
11 October 2022 12:23pm
The Smart Biosphere: How Technology can provide regenerative resources at scale
10 October 2022 12:06pm
Frontiers Symposium: Digital tools for reversing environmental degradation
5 October 2022 10:23am
Multi-day workshop: Machine Learning Advances for Marine Acoustics & Imagery Data
4 October 2022 5:20pm
Audio Across Domains Workshop 2022
3 October 2022 7:54pm
3 October 2022 11:40pm
11 October 2022 2:05pm
18 Sustainability Job Opportunities at Google
3 October 2022 7:09pm
New paper - Rookognise: Acoustic detection & identification of individual rooks in field recordings using multi-task neural networks
3 October 2022 2:35pm
Authors developed system to acoustically identify individual animals (under varying conditions) using combo of multi-scale information integration, multi-channel audio & multi-task learning. Tested on captive group of rooks.
New paper - FathomNet: A global image database for enabling artificial intelligence in the ocean
27 September 2022 9:44pm
Open-source image database that standardizes & aggregates expertly curated labeled underwater data, enabling AI in the ocean. Seeded with existing imagery of marine animals, underwater equipment, debris, etc. & allows for future contributions from distributed data sources.
Conservation Tech Directory - new update!
29 August 2022 2:38pm
23 September 2022 5:26pm
Congrats on the milestone Carly and Gracie!
26 September 2022 10:07pm
Thanks so much!!
Mangrove soundscape
27 August 2022 4:57pm
29 August 2022 2:47pm
You might check out the devices listed in the Conservation Tech Directory - you can search for 'acoustic recorder' or 'ARU' or something like that.
The most common off-the-shelf models (other than Frontier Labs' BARLTs mentioned above😊) are Open Acoustic Devices Audiomoths & Hydromoths (which may be particularly useful for you since they come in completely watertight cases that can be stuck underwater for deployments), Wildlife Acoustics' SongMeter series, and Cornell Lab of Ornithology's Swift units.
30 August 2022 10:10pm
Camilo--
Are you interested only in airborne sounds or do you want to deploy hydrophones? That decision would inform a lot of other decisions about your purchase of equipment, as would having a clearer picture of your budget.
23 September 2022 5:39pm
Hi there Camilo,
What an interesting project! If you are looking for a lower cost, but effective tools for acoustic monitoring you might want to look into two options:
SoundTraps - are very commonly used and perform quite well:
FrontPage
Welcome to the cutting edge of underwater acoustic recording technology. SoundTrap hydrophones combine the latest low power electronics with meticulously crafted software to create instruments that perform in a league of their own. Check them out here…
SonarPoints - these are also a great instrument option:
page/sonarpoint | Desert Star Systems
The SonarPoint system is the third generation of Desert Stars passive underwater acoustics monitoring toolkits.
Desert Star SystemsSenior Conservation Technology Expert Position (Consultancy) with the Global Wildlife Program
22 September 2022 5:35pm
Catch Up with the Variety Hour: October 2022
22 September 2022 1:59pm
WIA After Hours: Episode #5 - AI for Wildlife Conservation and Imageomics with Dr. Tanya Berger-Wolf
21 September 2022 6:53pm
Listen to Tanya Berger-Wolf's conversation about AI for Wildlife Conservation and imageomics with Lauren Burke on the Women In Analytics After Hours Podcast.
Amazon Sustainability call for proposals — Fall 2022
20 September 2022 11:37am
22 November 2022 2:46pm
Maybe she is not based in Asia, but you could check Lily Xu, who gave a presentation at the IUCN World Congress a year ago on using AI against poaching in Cambodia. The project is called Protection Assistant for Wildlife Security (PAWS).
For a summary of this project and another ( presented by a man ) see
Machine Learning against poaching and illegal logging
At the IUCN’s World Conservation Congress I ran into two applications of machine learning (ML) to guard protected areas against direct detrimental human activity. Both stories are success sto…
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