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Bioacoustic AI for wildlife protection

Project description

Bioacoustic AI 'machine listening' for wildlife monitoring

Biodiversity loss is ranked as one of the top five global risks, both in impact and likelihood. Anticipated significant declines in bird and insect populations could trigger profound ecological changes. Yet, data for monitoring biodiversity change remain incomplete. Sound recording could help: it is cheap and rapid, and modern machine learning can radically improve its precision. However, there are two barriers: AI-enhanced acoustic tools for wildlife monitoring are mostly at prototype stage; and there is a big skills gap – it is very rare to find an expert in animals, sound, and AI methods. The MSCA-funded BioacAI project will address these challenges by developing new AI methods directly within the context of acoustic wildlife monitoring – using new acoustic devices, algorithms, and insights into ecology and behaviour.

Objective

"The biodiversity crisis is coming into sharp focus. The BioacAI network will establish a vital modern evidence source for wildlife protection, by bringing the promise of AI-powered acoustic monitoring to fruition.

Biodiversity loss is ranked as one of the top 5 global risks, both in impact and likelihood (World Economic Forum 2020, 2021, 2022). Continental-scale assessments warn of population declines in major taxa such as birds and insects. Yet data for monitoring biodiversity change remain incomplete - spatially, temporally and taxonomically. To stabilise biodiversity trends and assess ecosystem restoration interventions, it is crucial to monitor the world's wildlife better, faster, and to provide rapid intelligence that can enable us to manage these risks.

Sound recording is a cheap, rapid and powerful way to monitor many key animal species, and modern machine learning can radically improve its scale and precision. However, there are two barriers: AI-enhanced tools for bioacoustic monitoring are at a low readiness level, with few end-to-end solutions available; and there is a big skills gap - no current training programme produces experts with skills spanning acoustics, artificial intelligence (AI) and zoology/ecology.

The BioacAI doctoral network is designed to address exactly these issues. Our research programme develops new AI methods directly within the context of acoustic wildlife monitoring, using devices from leading European bioacoustics companies, in active wildlife monitoring deployments.Our training programme provides ""full stack"" bioacoustic AI skills and targeted research experience, to build the next generation of professionals - the people who innovate with technology to monitor and understand animals at unprecedented global scale and detail."

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

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(opens in new window) HORIZON-MSCA-2022-DN-01

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Coordinator

STICHTING NATURALIS BIODIVERSITY CENTER
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 274 370,40
Total cost

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No data

Participants (8)

Partners (11)

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