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!
Data has been my passion and i enjoy working with data while bringing value to the business. Data engineer with 7+ years of experience Eager to support with expert analytical skills to advance the companys business operations and strategic initiative.
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- @kbubnicki
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Ecologist, data scientist, and programmer with over 13 years of professional experience. Open source and Linux enthusiast. Researcher at the Mammal Research Institute, Polish Academy of Sciences, and CEO of the Open Science Conservation Fund.
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- @JoãoVieira
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Conservation biologist. Iberian wolf monitoring field technician. Master`s on bear`s movement ecology.
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- @shannondubay
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Panthera
Director of Conservation Technology at Panthera
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- @waltertortuga
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Universidad San Francisco de Quito
I'm a professor and researcher focusing on carnivore conservation in tropical landscapes.
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- @silvanasitayiari
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- @alekseisaunders
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Wildlife conservationist, ichthyologist, now pursuing a career in Software Engineering and Web Development
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Adventure Scientists is a 501(c)3 nonprofit organization based in Bozeman, MT that equips scientists and researchers with high-quality data collected from the outdoors that are crucial to addressing environmental challenges around the world.
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- @DanielHugelmann
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Hi, I'm the co-founder of OceanLabs Seychelles. We design and build environmental and marine remote sensing devices for conservation NGOs. As an engineer and avid diver, with a love for the environment, connecting conservation and technology was the natural thing to do!
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Background in Computer Science, Developing Acoustic AI Tech at Synature
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- @chmod000
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I build sensing and perceiving hardware that is designed to address issues that matter to me. That ranges from assistive technologies, to conservation ecology, and connecting individuals with place and each other.
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Given the sharp increase in agricultural and infrastructure development and the paucity of widespread data available to support conservation management decisions, a more rapid and accurate tool for identifying fish...
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Description | Activity | Replies | Groups | Updated |
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@dmorris joined Variety Hour to give us 'a bunch of lightning talks inside a lightning talk'. Check out the recording to get a whirlwind... |
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AI for Conservation, Drones, Remote Sensing & GIS | 5 months 3 weeks ago | |
Also, take a look at TrapTagger. It has integration with WildMe. |
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AI for Conservation, Camera Traps | 5 months 3 weeks ago | |
Hello Sam,What would you say would be the estimate cost was for the first version Instant Detect 1.0 ? That might help my research ? |
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AI for Conservation, Camera Traps, Human-Wildlife Conflict, Sensors | 6 months 2 weeks ago | |
We are writing a methodology to measure Biodiversity density in habitats.Examining lots of different options but very keen to hear from... |
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AI for Conservation | 6 months 3 weeks ago | |
Hi @GermanFore ,I work with the BearID Project on individual identification of brown bears from faces. More recently we worked on face detection across all bear species and ran... |
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AI for Conservation, Camera Traps, Data management and processing tools, Software and Mobile Apps | 7 months ago | |
Hey Wildlabbers! Is anyone planning to go to the Academic Data Science Alliance (ADSA) annual meeting next week in San Antonio? I'll be... |
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AI for Conservation, Community Base | 7 months 3 weeks ago | |
This is super cool! Me and @Hubertszcz and @briannajohns and several others are all working towards some big biodiversity monitoring projects for a large conservation project here... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 8 months 2 weeks ago | |
Hello! If you were interested in the DSAIL Tech4Wildlife Workshop last week exploring how AI can be used to aid conservation efforts, you... |
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AI for Conservation, Conservation Tech Training and Education | 8 months 2 weeks ago | |
Very helpful, thank you. One more thing, are there any broad skills that apply to all areas of conservation tech that may be helpful to learn/improve, e.g data analysis? |
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AI for Conservation, Conservation Tech Training and Education, Early Career | 9 months ago | |
Hi everyone! We were so delighted to have Adrien along to our June Variety Hour to share more about the Nocturnal Bird Migration project. If you missed it, you can catch up with... |
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AI for Conservation | 10 months 3 weeks ago | |
During Andrew's talk in our June Variety hour (see here), @dmorris put out a call in the chat that might be relevant to our marine and ai... |
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AI for Conservation, Marine Conservation | 10 months 3 weeks ago | |
During Andrew's talk, @dmorris put out a call in the chat that might be relevant to folks catching up on the video, so I'll drop it here too: Re: Andrew's fish work... part... |
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AI for Conservation, Camera Traps, Drones, Marine Conservation | 10 months 3 weeks ago |
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
Introductions
10 December 2015 8:13pm
17 January 2016 9:08pm
Hi,
I am jason Holmberg from WildMe.org. I am one of the developers of Wildbook (wildbook.org), an open source data management platform for wildlife research. I'm using ML as part of the IBEIS.org project to boost and metascore multiple computer vision algorithms for individual humpback and sperm whales. David, I would love to speak offline if you have the time: [email protected].
Cheers,
Jason
Google Releases Tensor Flow
18 November 2015 12:10am
20 December 2015 7:05pm
"TensorFlow, you see, deals in a form of AI called deep learning. With deep learning, you teach systems to perform tasks such as recognizing images, identifying spoken words, and even understanding natural language by feeding data into vast neural networks. "
Would this be applicable to an acoustic monitoring network? For example. my research has shown tigers have unique, identifiable vocalizations down to the individual and sex. If this software is applied to my recording network for tigers, would it be able to automatically recognize and categorize these individuals?
For example: when it hears Tiger 108, it would know and then input that it heard Tiger 108 at a particular time and date.
11 January 2016 12:38pm
The catch will be (and for any neural network or AI type learning I would expect the same) the training phase. If you are able to tell the sounds apart or identify a specific sound as belonging to a certain individual, the AI should afterwards be able to automatically identify the critical factors needed to distinguish the voices of the individuals. But it will need enough input from each individual as well as the different vocalizations used by tigers. AFAIKT it will be able to do this automatically afterwards, but I am not sure if (a) you will get enough identifiable vocalisations and (b) with a wide enough range of typical tiger vocalisations for it to be really reliable. Training on zoo animals might work? I am also interested in this, but for jackals instead of tigers.
11 January 2016 2:30pm
I'd like to suggest our open source package Wildbook (http://www.wildbook.org) as a base data management platfor for this. I agree with the above that there are a number of challenges around the vocalizations themselves, but having the identity information in a good database and data model is a great foundation. That's what we're doing for our computer vision/deep learning project at www.IBEIS.org.
Our non-profit WildMe.org is running both. Feel free to contact us with questions. We have played with time series matching (often used for speech recognition)...but actually for whale flukes. Would be happy to discuss potential for audio ID.
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Big Data and Conservation: Deluge or Drought?
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Cheap Space, DIY Imaging and Big Data
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The Impact of the Internet of Things
10 December 2015 12:00am
Harnessing Big Data to Combat Illegal Wildlife, Timber and Fisheries Trade
26 November 2015 12:00am
Technology for Traceability
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From Data Collection to Decisions
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The Social Lives of Conservation Technologies and Why They Matter
2 November 2015 12:00am
10 December 2015 8:41pm
To start things off...
I'm David J Klein. My background is in deep learning, machine learning, neuroscience, neuromorphic computing, and signal processing. I've been doing the startup thing Silicon Valley for the last 11 years after being in academia for a while. I've worked on products ranging from speech recognition systems, to cloud-based deep learning platforms. These days, some use the blanket term "AI".
For the last several years I've been developing software for Conservation Metrics which gives their analysists the ability to use deep learning to process large volumes of audio and image data from remote sensors in order to monitor population density changes of endangered species, detect collisions of birds and bats with infrastructure, and find rare and elusive species.
More broadly, I'm interested in integrating many disparate sensing domains from eDNA, to land-based sensors, to GIS data in order to provide tools to conservation scientists and ecologists that will enable them to develop a higher resolution understanding of the health of ecosysems around the globe and their response to positive or negative human interventions.
I'm looking forward to interacting with you all. Please let me know what other questions you have for me, and other ways I can help.
Regards,
David