But that brings with it a problem – how do we analyse large acoustic datasets? The most useful PAM data often comes from studies where data has been collected over large spatial and/or temporal scales. from a particular species) and has the potential to provide vital behavioural and ecological metrics for conservation for example, the abundance of animals in a particular area. Passive acoustic monitoring (PAM) is the process of recording acoustic data and extracting sounds of interest (e.g. Many marine animals have evolved to use sound as their primary sensory mode and as such, the ocean soundscape is a complex mix of different species, environmental and anthropogenic noise. In the marine environment, light is limited, but sound travels much further and faster than in air.
Jamie is one of the primary developers on the PAMGuard project, and regularly teaches PAMGuard courses and develops new analysis modules and data visualisation tools with the aim of making PAM more accessible to other researchers and community scientists.
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A large portion of his time is also spent developing new algorithms and software for PAM. Jamie has been involved in many projects from tracking porpoises around tidal turbines in the northern waters of Scotland, to investigating bycatch of toothed whales in gill nets, detecting illegal fish bomb blasts in Tanzania and researching the sound output of porpoises in Denmark. His research focus is developing and using PAM methods to collect complex behavioural or ecological data which has direct conservation implications. Jamie Macaulay is is currently a postdoctoral researcher at Aarhus university in Denmark and has been working on acoustic monitoring for over a decade. Meet Your Tech Tutor: Jamie Macaulay, Aarhus University
Want to catch up on Tech Tutors Seasons One and Two? Find links to our episodes' recordings and resources here and here.
What do you gain as a Tech Tutors participant? You'll leave each episode with the confidence to build on the skills discussed in these tutorials, and you'll have an ongoing opportunity to learn and collaborate with other members of the WILDLABS community! The connections made through the past seasons of Tech Tutors have led to real projects and results, and our third season is set to introduce you to even more new ideas and community members who are ready to start something new!Ĭan't make it to an episode this season? Don't worry! You can find every tutorial after it airs on our Youtube channel, and you can collaborate and ask questions in each episode's thread on the WILDLABS Tech Tutors forum. Taking place every Thursday, each Tech Tutor will present a 30 minute tutorial guiding you through an aspect of conservation tech, followed by a 30 minute live Q&A session with the audience. Our Tech Tutors will give you the bite-sized, easy-to-understand building blocks you'll need to try new conservation technology, enhance your research, DIY a project for the first time, or simply explore the possibilities.
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Welcome to the third season of WILDLABS Tech Tutors, the series that answers the "how do I do that?" questions of conservation tech! Brought to you with the support of Microsoft AI for Earth, Tech Tutors is made for conservation tech beginners of all knowledge levels (and yes, even experts can still be beginners when it comes to tackling a new aspect of conservation tech or starting a new project.).
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