Gal Zanir

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@GalZanir
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Gal Zanir

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AI for Conservation

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Updates about Arbimon for Ecoacoustics - free, cloud based analytical tool

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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Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision

New paper in Journal of Animal Ecology

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Early Career

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Computer Science student looking to work for wildlife

Just starting your conservation tech career path? Our Early Career group is the best place to network, chat about your master's projects, and seek advice from your peers and those who have been down this path before! Join now to get to know community members and students from around the world!

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Mobilising East African nature restoration professionals

Scholarships available for training courses focussing on nature restoration in East Africa

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Emerging Tech

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NFTs for Carbon Credits

Technology is changing and evolving faster than ever, and as it does, our community members are looking for the next big thing to revolutionize their conservation tech work. To chat about your favorite new tools that are just emerging in the field and discover innovations you haven't yet heard of, join this group!

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Using acoustic monitoring to track infectious disease risk

New paper in Trends in Parasitology discusses how acoustic monitoring can be used to assess presence and overlap of host or reservoir species, disease vectors and human activity.

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eDNA & Genomics

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Conservation Tech Directory - new update!

eDNA is a molecular conservation tech tool that can be used to detect species presence in samples taken directly from the environment. To date, eDNA has been used for species detection, biomass estimation, diet analysis, reconstruction of past flora and fauna, and wildlife disease detection. Still a relatively new area of conservation tech, eDNA is in a phase of rapid innovation and growth, with improved ease of use and more accessibility allowing this technology to find new uses in the field and lab.

Latest Resource
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A practical guide to DNA-based methods for biodiversity assessment

The guide considers four different types of samples (water, sediments, invertebrate collections and diatoms), and two primary analysis types (single species detection via methods such as qPCR and assessment of biological communities via metabarcoding). At each stage of the field and laboratory process the guide sets out the scientific consensus on best practice, as well as the choices that need to be made and the trade-offs they entail. In particular, the guide considers how the choices may be influenced by common practical constraints such as logistics, time and budget.

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Human-Wildlife Conflict

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Moveapps: EMAC23 Coding Challenge

Human-wildlife conflict is a significant challenge that only grows as habitats shrink and other issues like climate change alter the natural world. Technologies like biologging gear have become essential for proactively addressing human-wildlife conflict before it escalates, and tech projects that seek to understand population ranges and behaviour can help people learn to live with wildlife as part of our own environments. If you're interested in using technology to prevent human-wildlife conflict, this group is the place for you!

Latest Resource
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Using acoustic monitoring to track infectious disease risk

New paper in Trends in Parasitology discusses how acoustic monitoring can be used to assess presence and overlap of host or reservoir species, disease vectors and human activity.

Group

Marine Conservation

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Drones for IUU (illegal fishing activities & vessel monitoring)

Bringing together many of our community's tech types like bioacoustics, biologging, drones, remote sensing, machine learning, and more, the Marine Conservation group is a meeting point to begin innovative collaborations and answer difficult questions.

Latest Resource
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Zooplankton Prosome and Lipid Sac Segmentation

A machine learning-based solution that can segment the Prosomes and Lipid sacs with sufficient accuracy helps to recognize the ecological plasticity of key Arctic copepods. It allows scientists to learn more about the relationship between the size and volume of two components of planktonic organisms: the prosome (the main body) and the lipid sac (energy reserves accumulated by copepods before winter).

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Open Source Solutions

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Moveapps: EMAC23 Coding Challenge

This group is a place to share low-cost, open-source devices for conservation; describe how they are being used, including what needs they are addressing and how they fit in to the wider conservation tech market; identify the obstacles in advancing the capacity of these technologies; and to discuss the future of these solutions - particularly their sustainability and how best to collaborate moving forward.

Latest Resource
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USD500 available for your workshop

Sloan Foundation funding

Group

Software and Mobile Apps

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Exploring storage options for mass data collection

The software and apps used and built by the conservation tech community are as varied as the species and habitats we work to protect. From fighting wildlife crime to collecting and analyzing data to engaging the general public with unique storytelling, apps, software, and mobile games are playing an increasingly large role in our work. Whether you're already well-versed in the world of software, or you're a hardware expert looking for guidance from the other side of the conservation tech field, this group will have interesting discussions, resources, and ideas to offer.

Latest Resource
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Meeting customer deadlines, without having to hire more staff

How environmental consultancy Eticwood use geospatial data for rapid forest carbon project assessments

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