ML4Plankton · Machine learning to decipher plankton big data and unravel the link between marine plankton diversity and associated ecosystem services

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Цел на проекта

Marine plankton is highly diverse, with millions of taxa and genes. This huge biodiversity plays a key role in providing ecosystem services to human societies, such as oxygen production, carbon export, climate regulation, or food provision. Large datasets of various types have been gathered to document marine plankton, from individuals (e.g., species occurrences, individual images) to communities (acoustic, satellite, metagenomics). Yet, these plankton ""big data"" are largely underexploited, while new tools from machine learning (ML) are now available to mine them. Today, the two main challenges of using ML for plankton big data are: i) to handle, combine, and decipher data of various types, and ii) to use these data to improve marine ecosystem models, especially the ones used by the IPCC and IPBES to anticipate the impact of climate change on our oceans. Hence, there is a crucial need for training a new generation of innovative doctoral researchers (DRs) at the interface of key scientific disciplines such as marine ecology, omics, imaging, satellite, acoustics, numerical modelling, climate sciences and data science, including machine learning. We offer a unique international, multidisciplinary, and multisectoral high quality and innovative research and training network. It gathers European world-class research and training centres, non-governmental organisations, governmental organisations, small and medium enterprises (SMEs), and multinational companies from 6 European countries plus Canada. The non-academic partners bring expertise in plankton harvesting, fisheries management, biodiversity conservation, marine policy, biotechnologies, computer vision, data management, communication, and public engagement. The unique set of skills of our DRs will advance their careers in various sectors such as government and policy, academic research, private consultancy, SMEs or industry, including information and communication technology, and big data analytics.""

Оригинален текст от CORDIS (на английски).

Участници

• CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS · ParisКоординаторФранция
• AKVAPLAN NIVA AS · TROMSOНорвегия
• ALFRED-WEGENER-INSTITUT HELMHOLTZ-ZENTRUM FUR POLAR- UND MEERESFORSCHUNG · BremerhavenГермания
• Appsilon Sp. z o.o. · WarszawaНиво градПолша
• COLLECTE LOCALISATION SATELLITES · RAMONVILLE ST AGNEФранция
• EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZuerichШвейцария
• GFBio - Gesellschaft für Biologische Daten e.V. · BremenНиво градГермания
• Ghjuvan Grimaud · AjaccioНиво градФранция
• HAVFORSKNINGSINSTITUTTET · BergenНорвегия
• INSTYTUT OCEANOLOGII POLSKIEJ AKADEMII NAUK · SopotПолша
• OFFICE FRANCAIS DE LA BIODIVERSITE · VincennesФранция
• SAS AMPHITRITE · ParisНиво градФранция
• SORBONNE UNIVERSITE · ParisФранция
• STIFTELSEN NANSEN SENTER FOR MILJOOG FJERNMALING · BergenНорвегия
• The Conversation Trust (UK) Limited · LondonОбединеното кралство
• UICN, UNION INTERNATIONALE POUR LA CONSERVATION DE LA NATURE ET DE SES RESSOURCES · GlandШвейцария
• UNIVERSITAET BREMEN · BremenГермания
• UNIVERSITE DE LORRAINE · Nancy CedexФранция
• UNIVERSITE LAVAL · QuebecКанада
• UNIVERSITETET I BERGEN · BergenНорвегия
• UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET · TromsoНорвегия
• UNIVERSITY OF BRISTOL · BRISTOLОбединеното кралство
• UNIVERSITY OF EAST ANGLIA · NorwichОбединеното кралство
• UNIVERSITY OF YORK · YORK NORTH YORKSHIREОбединеното кралство

Връзки

• Виж в CORDIS
• DOI: 10.3030/101311362