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.
- @Palinda
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Corporate Responsibility Specialist & Sustainability/ Climate Change Professional Helping Conservation, Restoration, Community Livelihood Development ESG strategy and Sustainable Development.
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Universidade Federal do Rio Grande do Norte (UFRN)
I'm a Biologist and currently a master's student. My research focuses on understanding how birds respond to a restoration experiment in a Seasonally Dry Tropical Forest exclusive to Brazil through bioacoustics.
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- @APooran
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- @kristian.cuervo
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Applied Mathematics student in Denmark, interested in applications of mathematics to ecology and nature conservation. Currently interested in developing sensors for perimeter detection in wildlife conservations in Africa.
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- @MorganeLabadie
- | She/Her
I'm an ecology researcher with extensive experience of fieldwork and project management in international contexts. I specialise in wildlife, zoonotic diseases, data collection and analysis using mainly non-invasive techniques (acoustic, camera traps, etc.) and invasive techniques
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- @Jen_NZ
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- @cappel
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Wildlife Science PhD candidate working on computer vision with camera traps and bioacoustics
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- @valengsb
- | she / her
GIS specialist for Audubon Americas | Biologist with an emphasis on Conservation and Sustainable Development | Innovative approaches in the study and monitoring of biodiversity for possible, biodiverse, and just futures.
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Ecologist at Noe NGO, Project manager in restauration, rewilding, and citizen sciences program for grassland ecosystems and wild pollinators
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- @capreolus
- | he/him
Capreolus e.U.
wildlife biologist with capreolus.at
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- @JakobWiren
- | He,him
Swedish soon-to-be graduate engineer in AI/ML and robotics. Writing my master thesis in using decision trees for anti-poaching in Limpopo, South Africa. Am passionate about conservation, AI and travelling. Help me find a way to help you!
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- @fshort
- | He / Him
Boston University PhD Candidate, Biological Anthropology. Engaging in passive acoustic monitoring (PAM) of Bornean orangutans (Pongo pygmaeus wurmbii), Bornean white-bearded gibbons (Hylobates albibarbis), and red leaf monkeys (Presbytis rubicunda)
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Article
In a first, UMass Amherst, Cornell use AI to mine big migration data on massive scale
9 October 2019
Article
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
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27 July 2019
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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
Funding
AI for Earth Innovation Grant (extended)
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4 June 2019
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31 May 2019
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21 May 2019
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13 May 2019
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#Tech4Wildlife Photo Challenge: Our Favourites from 2019
WILDLABS Team
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
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17 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| 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: ... |
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Acoustics, AI for Conservation, Data management and processing tools, Sensors, Software Development, Latin America Community | 2 years 10 months ago | |
| Hi Yvan,If you find something which reaches your expectation and especially the ability to identify individual with plumage patterns I will be intereted.In the same idea that... |
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AI for Conservation, Camera Traps | 3 years ago | |
| Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 3 years ago | |
| Hi everyone, I'm new here! I'm a UX designer and researcher, and an animal lover. Excited to be part of Conservation Tech here at WildLabs... |
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AI for Conservation, Human-Wildlife Coexistence, Software Development, Wildlife Crime | 3 years 1 month ago | |
| @gracieermi & I are happy to announce the latest update to the Conservation Tech Directory, bringing our total resources in the... |
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Acoustics, AI for Conservation, Animal Movement, Camera Traps, Community Base, Data management and processing tools, Drones, eDNA & Genomics, Geospatial, Software Development | 3 years 1 month ago | |
| Thank you so much Netty, I really enjoyed it.Good luck to you all with your work.Keep well! |
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AI for Conservation, East Africa Community | 3 years 1 month ago | |
| Thank you @carlybatist , @Freaklabs and @MK . The inputs are very useful and I am progressing on my project based on that. Appreciate a lot. |
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Acoustics, AI for Conservation | 3 years 1 month ago | |
| Some folks doing work in this space - Wildlife Drones, Conservation Drones, UAV Wild, AfricanDrones, Oceans Unmanned, Geonadir. |
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Drones, AI for Conservation, Citizen Science, eDNA & Genomics, Emerging Tech | 3 years 1 month ago | |
| Dear Community,Together with Hackster.io, Seeed Studio is very happy to jointly organize “IoT Into the Wild Contest for Sustainable Plant... |
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AI for Conservation, Connectivity, Emerging Tech, Open Source Solutions, Sensors | 3 years 2 months ago | |
| We've now wrapped our first run of AI for Conservation Office Hours and you can read my review of how it went and lessons learned here. Given the ... |
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AI for Conservation | 3 years 8 months ago | |
| Hi everyone! We are spreading the word about a free, open-source tool called Zamba that automatically detects and... |
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AI for Conservation | 3 years 9 months ago | |
| Hi Wildlabbers, This week's Tech Tutor Jamie MacAulay is talking about how to use and analyze large acoustic data using... |
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Acoustics, AI for Conservation, Marine Conservation | 3 years 10 months ago |
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Camera Trapping: Incredibly Useful Resources List
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Who wants to learn Python? Courses to get you started coding
2 May 2016 3:13pm
1 March 2019 9:20am
Hello everyone what are you wating for..
All US, UK, India users can enroll courses from Intellipaat (the largest IT trainng company)
check some of thier superb training list:
29 October 2019 4:52pm
Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both excellent resources, and he's a strong proponent for (and creator of) open source educational tools in general.
Lucy
Plant-Powered Camera Trap Breakthrough
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Automated Identification of Indonesian Rhinos
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[ARCHIVED] Position: UI/UX Machine Learning Engineer
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Hello buzzing World!
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ML at the Edge
28 June 2019 8:16am
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A couple of years ago I completed the Coursera course Programming for Everybody (Getting Started with Python) with Charles Severance. I found it really well paced and well taught. He's a very personable tutor, and has also written a free book Python for Everybody, available as a PDF.
I found the Coursera course on R Programming with Roger Peng to be more difficult to follow, but I'm not sure whether that was down to the teaching style or the language itself. For R, I'd definitely recommend the best place to get started is swirl - Learn R, in R!
Happy coding