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Breaking the wall between professional science and citizen science by hyperautomation

Project description

Bridging citizen science and professional research

Citizen science has become a valuable tool for biodiversity research, offering enormous potential to engage the public in scientific efforts. However, a key challenge remains: the data generated by citizen scientists often falls short of professional standards, limiting its usefulness in research. This is largely due to methodological gaps that reduce data accuracy and reliability. Without addressing these issues, the integration of citizen science into professional programs remains incomplete. The ERC-funded HyperCitizen project seeks to overcome this barrier. By developing an AI-driven mobile app for bird monitoring, HyperCitizen aims to generate high-quality data comparable to that of professional scientists. The project will culminate in a large-scale bird monitoring campaign in Finland in 2024.

Objective

Citizen science has become an integral part of biodiversity research with enormous potential for both improving biodiversity monitoring and involving citizens in scientific projects. However, the full integration of data generated with citizen science in professional research programs has not been fully reached. This is largely due to methodological challenges that compromise the value of the data that most citizen science projects have up to date generated. HyperCitizen will create an innovative solution that enables citizen science projects to generate data that are essentially equally informative as data generated by professional scientists. At the same time, HyperCitizen will provide additional value for the citizen scientists themselves, engaging them more profoundly to scientific research than has been earlier possible. HyperCitizen derives from recent results generated by the ERC-Synergy project LIFEPLAN: A Planetary Inventory of Life a New Synthesis Built on Big Data Combined with Novel Statistical Methods. HyperCitizen will develop a mobile phone application for citizen science -based bird monitoring, enabling real-time interaction with users by hyperautomation. It will further develop computationally highly scalable methods for (i) convolutional neural network -based bird vocalization classification and (ii) joint species distribution modelling used produce prediction maps on past, present and future distributions of birds and their vocalizations. The proof of concept will be delivered by teaming up with bird enthusiast organizations and the Finnish national broadcasting company to launch and run a citizen science campaign on Finnish bird monitoring, culminating in the Great Migratory Bird Evening in spring 2024. HyperCitizen aimed to demonstrate how public can be engaged in research in a way that breaks the current wall between citizen science and professional science.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

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(opens in new window) ERC-2023-POC

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Host institution

JYVASKYLAN YLIOPISTO
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.

€ 150 000,00
Address
SEMINAARINKATU 15
40100 Jyvaskyla
Finland

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Activity type
Higher or Secondary Education Establishments
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Total cost

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Beneficiaries (1)

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