RDI Activities
Research, Development & Innovation Activities
CSC proactively seeks out opportunities to innovate and develop new services for our customers. To fulfill our special task to support the higher education and research we systematically monitor what can be future key technologies and services, and we initiate and take part in collaborative Research, Development & Innovation (RDI) projects to benefit research and education. CSC seeks much of its external RDI funding from Academy of Finland, Business Finland, Connecting Europe Facility (CEF), EU Framework Programme for Research and Innovation (Horizon 2020, Horizon Europe), European Regional Development Fund (ERDF) and Nordic e-Infrastructure Collaboration (NeIC).
We take part in over 60 externally funded RDI projects together with our partners. This collaboration brings direct benefits to Finland as it enables us to offer state-of-the-art services, such as world-class computing capacity and data services, directly to the researchers. In addition, the projects allow us to bring our stakeholders views into international discussions on common standards and policies. All with the aim to enhance the competitiveness, performance and quality of European science, and society at large.
Content with Funding .
COLD
The COLD consortium will both develop and apply existing state-of-the-art modelling tools, together with recent observations, to investigate ice sheet – subglacial hydrology – ocean cavity interactions and patterns of change in both landward and seaward directions
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ELIXIR Finland
ELIXIR, the European life-science infrastructure for biological information, is a unique and unprecedented initiative that consolidates Europe's national centres, services, and core bioinformatics resources into a single, coordinated infrastructure.
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Euclid
Euclid Cosmology Mission is the next cosmology satellite of the European Space Agency (ESA). The main object of Euclid is to solve the mystery of dark energy – why is the expansion of the universe accelerating? One of the EUCLID Science Data Centers will be located in Finland as a collaboration between several Finnish Universities and CSC, and led by the University of Helsinki.
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EuroHPC/PRACE Finland
EuroHPC/PRACE Finland aims to proactively support and facilitate access for Finnish researchers to state-of-the art computational and data resources for performing world-class science. The project will promote EuroHPC and PRACE resources and capabilities among the Finnish research communities and support Finnish resource application to the European systems.
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ExaFF
The ExaFF (Exascale-ready machine learning Force Fields) consortium sets out with the objective of enabling the transition of Gaussian approximation potentials (GAPs), one of the leading methodologies for machine-learning-driven atomistic modeling, to the pre-exascale architectures currently sprouting in the European high-performance computing (HPC) landscape.
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FIN-CLARIAH
FIN-CLARIAH is the premier Finnish digital research infrastructure (RI) for Social Sciences and Humanities (SSH). In their first common development project, the FIN-CLARIAH components seek to significantly broaden their mutual scope of digital SSH infrastructural support by consolidating and enhancing their resources in three major data-oriented directions.
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FiQCI
The Finnish Quantum Computing Infrastructure (FiQCI) will provide an open-access platform for quantum computing with state-of-the-art physical quantum computers and quantum computer emulators, accessible through a unified service interface.
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Geoportti
Geoportti - Open Geospatial Information Infrastructure for Research is a unique virtual research infrastructure (RI) enabling easy access to geospatial and geocomputing solutions for various disciplines by offering services to manage, process and analyse geospatial data.
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GreenNLP
The GreenNLP project addresses the two major building blocks in modern natural language processing (NLP): pre-trained neural language models and neural sequence-to-sequence translation models. The project focuses on advancing techniques that produce models with a small environmental footprint. In addition, it will document and freely distribute knowledge needed to train the NLP models in a manner that is mindful of the environment.
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HIECSS
The Academy of Finland’s Centre of Excellence in High-Speed Electromechanical Energy Conversion Systems (HiECSs) brings together key Finnish academic experts on electrical machines, drives, mechanical transmission, and related system analysis, with the aim of elevating the modelling and analysis capabilities and methodologies eventually leading to the emergence of highly sustainable solutions and products necessary for a cleaner future.
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HISSA
Modern society is completely dependent on power networks as well as satellite, radar, and radio signals, which are all susceptible to disturbances in the ionosphere. HISSA aims to use HPC resources to construct an accurate model for magnetosphere-ionosphere interactions and develop novel load-balancing and parallel algorithms facilitating high-resolution magnetospheric simulations.
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INAR RI
INAR RI Ecosystems complements the Institute for Atmospheric and Earth System Research, focusing on terrestrial ecosystem and biodiversity research and covering ecological research infrastructures in forests, peatlands, agricultural fields and urban areas.
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