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• Dear AI, We Have Trust Issues

This essay is the third in a series on the promise and challenges of using AI and machine learning to create a planetary environmental management system.  

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• New conservation tech articles from Mongabay

Five articles that include conservation tech published at Mongabay

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• EarthRanger Names Club Arribada and MoveApps as 2022 Conservation Tech Award Winners

The two organizations will receive a no-strings-attached grant of $15,000 to help accelerate their plans to leverage technology in order to safeguard wildlife and their habitats across the globe. 

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• Underwater Camera Trap Video Confirms 1,100-Mile (1800-km) Swim of Tagged Great White Shark

First known baited underwater video match of an individual white shark, based on facial scars and other unique features White shark undertakes 1,100-mile (1800-km) transboundary swim from South Africa to Mozambique 

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• Do you want automated identification models made from your bird bioacoustics data?

Bird Sounds Global (BSG) launched a web portal for annotating bird sounds. Annotating means identifying the species vocalising in the recording. The aim is to produce training and testing material for automated bird sound identification. 

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• Underwater Camera Trap Video Confirms 1,100-Mile (1800-km) Swim of Tagged Great White Shark

First known baited underwater video match of an individual white shark, based on facial scars and other unique features White shark undertakes 1,100-mile (1800-km) transboundary swim from South Africa to Mozambique 

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• Identification of Wildlife in Camera Trap Images

<p>Camera trap wildlife surveys can generate vast amounts of imagery. A key problem in the wildlife ecology field is that vast amounts of time is spent reviewing this imagery to identify the species detected. Valuable resources are wasted, and the scale of studies is limited by this review process. The use of computer software capable of extracting false positives, automatically identifying animals detected and sorting imagery could greatly increase efficiency. AI has been demonstrated as an effective option for automatically identifying species from camera trap imagery. Currently available code bases are inaccessible to the majority of users; requiring high-performance computers, advanced software engineering skills and, often, high-bandwidth internet connections to access cloud services. The <em>ClassifyMe</em> software tool is designed to address this gap and provides users the opportunity to utilise state-of-the-art image recognition algorithms without the need for specialised computer programming skills. <em>ClassifyMe</em> is IDEAL for field researchers, allowing users to sweep through camera trap imagery using field computers instead of office-based workstations.</p>

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• MIT engineers build a battery-free, wireless underwater camera

The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.

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• Tech to Track: Harnessing thepotential of spatial data & digital technologies to prioritise nature and climate action

This SPACES paper aims to inspire the audience to use spatial intelligence as an enabler for integrated nature and climate action. It showcases ’emerging’ data sources and digital technology in the nature and climate space and their use in providing spatial intelligence to decision makers. Questions or insights you would want to share on this topic? Let us know via [email protected]

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• Module 8: In the Field

Welcome to the eighth and final module of our Build Your Own Data Logger virtual course. We’ve built, coded and tested our data logger. Now we’re taking it into the field. 

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• Jackal in hide: detection dogs show first success in the quest for golden jackal (Canis aureus) scats

Published paper attached

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• Mara Predators Hackathon 

APPLY NOW! The Sovereign Nature Initiative has partnered with the Kenya Wildlife Trust to experiment with emerging technologies to support their predators' conservation work.Challenges will focus on:1. Lion identification using computer vision and machine learning;2. Spatio-temporal prediction modeling - wildlife mobility predictions and human-wildlife conflict mitigation.Applications close on the 12th of September

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• News: The Latest in Conservation Tech

<p>Check out this round-up of three of the latest news stories from the conservation tech world. </p> <p><a href="https://wildlabs.us11.list-manage.com/subscribe/post?u=13a5323dc43234ee66d95cc90&id=fce1034265">See more conservation tech news by subscribing to our bi-monthly digest. </a></p>

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• The planet matters. People matter. Location matters.

This paper released by the World Economic Forum and the SPACES coalition shows how businesses can embrace the use of spatial intelligence for action on nature and climate. How can we make sure businesses apply the latest available technologies to unlock integrated nature and climate action? Let us know at [email protected]

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• New conservation tech articles from Mongabay

Five articles that include conservation tech published at Mongabay

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• Underwater Camera Trap Video Confirms 1,100-Mile (1800-km) Swim of Tagged Great White Shark

First known baited underwater video match of an individual white shark, based on facial scars and other unique features White shark undertakes 1,100-mile (1800-km) transboundary swim from South Africa to Mozambique 

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• Earth Observation 101 - Part 4: How do I get started? 

Welcome to week 4 of our Earth Observation 101 Virtual Course! In this final week we discover how to access earth observation data from both public and commercial providers; describe in detail the main public satellite missions; discover existing products generated with earth observation data; and briefly describe available tools and platforms for data processing.