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!
- @Riley
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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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- @Mumonkan
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Wild Me
Software Engineer for Wildlife Conservation
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Cornell University
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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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- @tmcgrath
- | He / Him
Geographer, Program Manager, Engineering Manager
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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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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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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
Article
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
The speed at which data travels from the point of collection to a format which is understandable and useful for decision makers can be of critical importance. In this case study, Tim Wilkinson discusses a powerful suite...
6 November 2015
New technologies offer a lot of potential for conservation, but are there potential risks to deploying these new technologies? In this first thought piece for the Ethics of Conservation Tech Group, Dr Chris Sandbrook...
2 November 2015
September 2024
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Description | Activity | Replies | Groups | Updated |
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I really hope you get this funding! You are so right about increasing the cost of poaching as a deterrent (snares destroyed, investment in snare cables and logistics all for... |
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 1 minute 21 seconds ago | |
Awesome! I am looking at something similar too - also awaiting funding. It's in SE Australia, also focusing on invasive species (red fox), protecting an area that has nesting... |
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AI for Conservation | 9 hours 23 minutes 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 | 5 days 6 hours ago | |
Yes, exactly! Alec and I are working together on this. |
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AI for Conservation | 1 week 1 day 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 | 1 week 6 days 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 | 2 weeks 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 | 2 weeks 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 | 2 weeks 1 day 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 | 2 weeks 4 days 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 | 3 weeks 2 days 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 | 3 weeks 2 days ago | |
Hi @zhongqimiao ,Might you have faced such an issue while using mega detectorThe conflict is caused by:pytorchwildlife 1.0.2.13 depends on torch==1.10.1pytorchwildlife 1.0.2.12... |
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AI for Conservation, Camera Traps, Open Source Solutions | 3 weeks 2 days ago |
ConservationAI
20 October 2022 2:41pm
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:
SonarPoints - these are also a great instrument option:
Senior 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
Google.org commitment on using AI to accelerate progress on global development goals
16 September 2022 6:31pm
Research Software Engineer, Climate & Sustainability, IBM
16 September 2022 2:18pm
CamTrap Ecology meets AI conference
14 September 2022 4:47pm
Join the BirdNET team!
9 September 2022 2:43pm
Postdoc: Interpretable ML for species-based image classification
1 September 2022 9:34pm
New paper - 'soundClass: An automatic sound classification tool for biodiversity monitoring using machine learning'
1 September 2022 8:53pm
Silva et al -
- R package to train convolutional neural networks & employ them to classify sounds
- sound event classification pipeline, from annotating recordings to automating
trained networks
- case studies with bat & whale echolocation calls, bird songs
Introducing G.AI.A: Artificial Intelligence and Planetary-Scale Environmental Management
31 August 2022 10:25pm
Mara Predators Hackathon
30 August 2022 1:28pm
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!