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AI for Conservation / Feed

Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.

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Automated Identification of Indonesian Rhinos

Cooper Oelrichs
In this case study, Cooper Oelrichs of Save Indonesian Endangered Species Fund (SIES) breaks down his proposal for the development and training of an automated rhino identification system from limited camera trap data.

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discussion

Hello buzzing World!

Hi, I would just like to introduce our Project BEESWAX7 and announce that today we acheived two milestones for success; we recorded bee buzzes using the AudioMoth audio...

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funding

AI for Earth Innovation Grant (extended)

Leonardo Dicaprio Foundation
To further their missions, LDF and Microsoft are collaborating on the AI for Earth innovation grant to support applicants in creating and deploying open source machine learning models, algorithms, and data sets that...

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CogX Festival of AI and Emerging Technology - free tickets for WILDLABS members

Hi wildlabbers,  Our partners Arm would like to offer WILDLABS members free tickets to attend the CogX Festival of AI and Emerging Tech...

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UPDATE: We've had quite a few members emailing us for tickets, so I'm looking forward to meeting everyone in person! We've now been allocated some extra tickets, so if you are interested you're in luck, there is still a chance to come along. 

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event

WILDLABS TECH HUB Showcase

WILDLABS Team
Join us at the Tech Hub Showcase event ot hear how our winners are using technology to scale their solutions to the illegal wildlife trade. The event will take place at Digital Catapult, 101 Euston Road, London, on the...

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Meet the WILDLABS TECH HUB Winners

WILDLABS Team
In February, we released an open call for the WILDLABS TECH HUB, offering 3 months of support for solutions using technolgy to tackle the illegal wildlife trade. We were overwhelmed by an incredible 37 submissions,...

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Huge appetite for data trusts, according to new ODI research

Open Data Institute
To realise the potential benefits of data for our societies and economies we need trustworthy data stewardship. We need to establish different approaches to deciding who should have access to data, for what purposes and...

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discussion

Conserving the Sumatran and Javan Rhino

Save Indonesian Endangered Species (SIES) will be building a machine to identify individual Indonesian rhino.  This will be challenging due to low data numbers.... Sumatran...

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Hello Claire, 

Engineer at Wild Me here. We would love to start a conversation about a Wildbook for rhinos. 

Lets talk about citizen science and computer vision for identification possibilities. I'm curious about your current data set and the identification tools you are using as a starting point. I'm happy to talk here, or you can email our team at [email protected]

Hi Claire,

At the BearID Project, we are working on a similar problem for brown bears. We are currently using machine learning methods developed for human facial recognition (like Google FaceNet). We got some ok initial results, but now we are running up against small data issues. The method for human faces were trained with millions of images of hundreds of thousandes on individuals. We have a few thousand images of about a hundred individuals. We plan to investigate other methods in the future.

It will be great to keep in touch to see what methods you will be using.

Ed

Hi Colin,

At the BearID Project, we are working on a similar problem for brown bears. We are currently using machine learning methods developed for human facial recognition (like Google FaceNet). We got some ok initial results, but now we are running up against small data issues. The method for human faces were trained with millions of images of hundreds of thousandes on individuals. We have a few thousand images of about a hundred individuals. We plan to investigate other methods in the future.

The last time I talked to WildMe, the identification algorithms were based on matching unique patterns. We didn't think this would be directly applicable for brown bears as they don't have a lot of clearly identifiable markings. Have you developed other identification algorithms?

Ed

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discussion

Responsible AI for Conservation?

AI is booming in conservation, with almost daily news articles on how it will solve problem X with algorithm Y. Indeed, there's huge potential here. But, as the old adage goes...

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Hi Jaishanker

Absolutely - the overlap between image-based and sound-based analyses is increasing, and consistent terminology will no doubt help us share info. 

Are you using ML in SODA for automated identification of sounds? If so, how are you determining if a given classifier is performing well? 

Thanks
Ollie

Hello Ollie,

SODA is a recently launched suite. It is in the development phase. We have with us call libraries with multiple (40+) calls for 10- 12 species of birds. A research scholar is on the job for classifying at the species level.

Our interest is equally on separating the different sonic components (as stated in https://www.wildlabs.net/community/thread/666). It is different from the link shared in my previous reply. This is where I see the confluence of objectives.

As a TEAM, I believe, we can address the individual objectives faster.

regards

jaishanker

 

Hi Ollie, 

Great article, thank you!  I mostly work with responsible AI in other contexts, at Doteveryone.org.uk and the Trust & Technology Initiative at the University of Cambridge, so don't have much to offer here, although I am very interested in the topic.  I appreciate your point that many of the consumer data issues highlighted in the 'popular' responsible AI discourse aren't relevant to conservation (some of us have been gathering 'responsible tech' / 'ethical tech' resources in a shared doc, and there's essentially nothing there for conservation specifically - https://docs.google.com/document/d/1SN6hYeKe3eRK6x9D0Sr7GpCA4nirpyo3u68xG1A6NDs/edit ). However there might be some links with humanitarian data practices, which are touched on by the Responsible Data folks at https://responsibledata.io and https://www.fabriders.net/data-literacy-consortium/ or in this recent article https://asecondmouse.wordpress.com/2019/02/20/instability-forecasting-models-seven-ethical-considerations/

Best, 

Laura

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funding

The Ecosulis Rewilding Tech Challenge

Ecosulis
With the aim of advancing rewildling-related technology in the UK and introducing new talent and ideas into the field of rewildling, Ecosulis is thrilled to announce the launch of their first ever Rewilding Tech...

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event

WILDLABS Virtual Meetup Recording: Big Data in Conservation

WILDLABS Team
The WILDLABS Virtual Meetup Series is a program of webinars that bring leading engineers in the tech sector together with conservation practitioners to share information, identify obstacles, and discuss how to best move...

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