Thomas Ratsakatika

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Thomas Ratsakatika

@tratsakatika

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Thomas Ratsakatika

Artificial Intelligence and Environmental Science Researcher

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Human-Wildlife Conflict

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WILDLABS AWARDS 2024 - Fostering bat conservation and citizen science in Zimbabwe: Establishing bat groups and training individuals to use bat detectors

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!

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The Inventory User Guide

Read in detail about how to use The Inventory, our new living directory of conservation technology tools, organisations, and R&D projects.

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AI for Conservation

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AI & Gamified Citizen Science

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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VOICES OF SUSTAINABILITY: PERSPECTIVES FROM AFRICA WHOLESOME SUSTAINABILITY EXPLAINED: WHAT IS E-PIE?

In 1987, sustainability was defined by the United Nations Brundtland Commission as “meeting the needs of the present without compromising the ability of future generations to meet their own needs.”In 1987, sustainability was defined by the United Nations Brundtland Commission as “meeting the needs of the present without compromising the ability of future generations to meet their own needs.”

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Camera Traps

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Newt belly pattern for picture-matching

Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.

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The Inventory User Guide

Read in detail about how to use The Inventory, our new living directory of conservation technology tools, organisations, and R&D projects.

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Build Your Own Data Logger Community

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WILDLABS AWARDS 2024 - FinDrop: Accessible Acoustic Monitoring for Mesophotic Marine Environments

Welcome to the official group forum for our virtual course, Build Your Own Data Logger. This is your space to engage with course instructors Akiba and Jacinta from Freaklabs, find help and resources for each module, collaborate and chat with your fellow course participants, and share your progress on your own Data Logger project!

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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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