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Biodiversity methods for advanced monitoring at large scales (BEAGLE)

Objective

BEAGLE is a transformative, policy-oriented research initiative designed to deliver next-generation biodiversity monitoring across terrestrial, freshwater, and marine ecosystems in the EU and Associated Countries. Named after Darwin’s iconic ship, BEAGLE addresses the urgent need for high-resolution, harmonised, and FAIR-compliant biodiversity data to support the EU Biodiversity Strategy for 2030, the Nature Restoration Regulation, and the Kunming-Montreal Global Biodiversity Framework. The project integrates cutting-edge technologies—including automated sensors, eDNA sampling, AI, and participatory science—to generate raw data including up to one billion species occurrence records. These data will be processed through robust, scalable pipelines to produce Essential Biodiversity Variables (EBVs) and policy-relevant indicators. BEAGLE’s layered approach ensures comprehensive spatial, temporal, and taxonomic coverage, with a strong focus on underrepresented taxa and ecosystems. BEAGLE is structured around four core objectives: (1) strengthening the EU’s biodiversity monitoring network, (2) operationalising high-throughput in situ observation tools, (3) integrating validated data into open platforms and modelling workflows, and (4) developing a knowledge framework to support ecosystem recovery. The project will mobilise legacy data, deploy over one thousand sensors, collect thousands of eDNA samples, and engage millions of citizens through participatory platforms like Pl@ntNet and MINKA. With a consortium of 17 partners across Europe, BEAGLE combines interdisciplinary expertise in ecology, AI, bioinformatics, and policy. Its outputs will empower policymakers, researchers, businesses, and civil society to track biodiversity trends, evaluate restoration outcomes, and design nature-positive strategies. By embedding open science and sustainability principles, BEAGLE sets a new benchmark for integrated, scalable, and policy-relevant biodiversity monitoring in Europe.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL6-2025-01

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Coordinator

AARHUS UNIVERSITET
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.

€ 2 547 750,00
Address
NORDRE RINGGADE 1
8000 Aarhus C
Denmark

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Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 547 750,00

Participants (16)

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