AARC TREE

The AARC TREE project takes the successful and globally recognised “Authentication and Authorisation for Research Collaboration” (AARC) model and its flagship outcome, the AARC Blueprint Architecture (BPA), as the basis to drive the next phase of integration for research infrastructures.

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AIKA

The AIKA project will facilitate digital transition of the Kainuu region by establishing new data-driven solutions for business and industry, by building connections to national and international networks, and by planning for long-term exploitation of the AIKA Ecosystem.

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AquaINFRA

The AquaINFRA project is developing a virtual environment equipped with FAIR multi-disciplinary data and services to support marine and freshwater scientists and stakeholders restoring healthy oceans, seas, coastal and inland waters.

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BIGPICTURE

BIGPICTURE, a pathology-led project, has the vision to become the catalyst of digital transformation in Pathology. Our mission is to create the first European GDPR compliant platform, in which both quality-controlled Whole Slide Imaging (WSI) data and advanced Artificial intelligence (AI) algorithms exist.

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BioDT

The BioDT project aims to push the current boundaries of predictive understanding of biodiversity dynamics by developing a Biodiversity Digital Twin (BioDT) prototype platform providing advanced modelling, simulation and prediction capabilities.

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BioExcel-3

BioExcel-3 will grow and sustain the Life Science HPC community in Europe, and its success will be measured by the ability to support codes and train scientists who produce almost 10,000 scientific papers and numerous industrial projects every year.

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CEMIS-HYVIS

The CEMIS-HYVIS project will be developing services, computing tools and healthcare technology that promote digitalization, and support the green transition, for the use of companies, healthcare and municipalities in the Kainuu region.

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CEMIS-UDDA

The CEMIS-UDDA project aims to increase data expertise and to apply existing knowledge in a focused manner for the measurement of sports as well as to develop technology, measurement methods, and analytics to support the ancillary services and environment for Nordic skiing and sports tourism in Vuokatti.

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ChEESE-2P

The scientific ambition of ChEESE-2P is to prepare 11 community flagship codes to address 12 domain-specific Exascale Computational Challenges, adding to the areas covered during the first implementation phase with two additional disciplines (geodynamics and modeling of glacier hazards).

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Climate DT

Climate change adaptation DT is one of the first DTs developed within the European Commission's Destination Earth initiative. Climate DT will design and implement a pre-exascale climate information system that can be used to assess impacts of climate change and different adaptation strategies at local and regional levels over multiple decades.

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CodeRefinery3

The current emphasis on open science is caused by the crisis of reproducibility and inability to make full use of existing research, which CodeRefinery has addressed by teaching key tools and practices. CodeRefinery3 will ensure the long-term success of the lessons developed during previous project phases by funding a central coordination of in-kind contributions.

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CONVERGE

The main objective of the CONVERGE project is the development of an innovative toolset combining radio and vision based communications and sensing technologies to enable an emerging area of research aligned with the motto “view-to-communicate and communicate-to-view".

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DeployAI

The primary goal of DeployAI is to build, deploy, and launch a fully operational AI-On-Demand platform (AIoDP) promoting trustworthy, ethical, and transparent European AI solutions for use in the industry, mainly for SMEs and the public sector.

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Kajaani DC Ecosystem

The project's aim is to significantly strengthen Finland's and especially Kajaani's role in the European and global high-performance computing (HPC) ecosystem. The main goal of the project is to strengthen the data center ecosystem in Kainuu by attracting new companies and investments to the Kainuu region.

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DTO-BioFlow

DTO-BioFlow will activate access to "sleeping" marine biodiversity data and enable the sustainable integration of existing and new Artificial Intelligence processed and automated data flows from various sources to EMODnet and into the EDITO infrastructure serving the EU DTO.

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E-TASC-HEL

The Eurofusion Advanced Computing Hub, E-TASC-HEL, is focused on open access, data management, data analysis tools, artificial intelligence and verification, validation and uncertainty quantification, and, in particular, the improvement of scientific software for fusion research.

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EHDS2 Pilot

The EHDS2 Pilot project will build and test a first version of European Health Data Space (EHDS) by interconnecting data provider platforms in a network of nodes, defining common standards for security, metadata catalogs, data quality and interoperability, and legal requirements based on use cases.

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EJP-RD

The European Joint Programme on Rare Diseases brings over 130 institutions from 35 countries to create a comprehensive, sustainable ecosystem allowing a virtuous circle between research, care and medical innovation.

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ELIXIR-STEERS

ELIXIR-STEERS will strengthen the operational excellence of ELIXIR Nodes, support the training and development of professional and scientific staff in ELIXIR Nodes, expand the membership of ELIXIR to new countries, enable international collaborations in particular with Latin America and Africa as well as stimulate innovation and industry engagement.

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eLTER EnRich

eLTER EnRich aims at catalysing the eLTER ESFRI process towards a successful conclusion, balancing between the changed framework conditions since 2020 and the vision and role in the European system of Research Infrastructures (RIs) identified by ESFRI.

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eLTER PLUS

This research infrastructure project deals with ecological research by providing observational data from the environment in hundreds of stations across Europe and enriching this data with economic, sociological and earth observation data.

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EOSC Focus

EOSC Focus will support the co-programmed EOSC Partnership in delivering its mission of establishing Open Science as the “new normal” through its six work packages, which will help the sometimes divergent activities of the broader stakeholder community to focus on the big goal of delivering EOSC.

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EOSC Future

EOSC Future attempts to integrate, consolidate, and connect e-infrastructures, research communities, and initiatives in Open Science to further develop the EOSC Portal, EOSC-Core and EOSC- Exchange of the European Open Science Cloud (EOSC).

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EOSC4Cancer

EOSC4Cancer will make cancer genomics, imaging, medical, clinical, environmental and socio-economic data accessible. It will use and enhance existing federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR cancer data across borders, and offer them via community-driven analysis environments.

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EPICURE

EPICURE aims to establish and operate a distributed but coordinated European-wide high-performance computing application support service to encourage the best possible uptake of the systems by European scientists and researchers. This support focuses on application porting, optimisation and execution of key applications to a selected number of projects.

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ESiWACE3

The third phase of the Centre of Excellence in Simulation of Weather and Climate in Europe (ESiWACE) focuses on the support of the weather and climate modeling community to reach a higher readiness level regarding exascale supercomputing and knowledge transfer between the different Earth system modelling centres and teams across Europe.

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EuroCC 2

EuroCC 2 builds on the results of the EuroCC project and its main task, in addition to high-level management to monitor progress in the NCCs’ development, is to support national centres in setting up their individual operational frameworks, while accessing and making the most of the experience and expertise currently available at the national and European levels.

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EuroHPC LUMI

The European High Performance Computing Undertaking (EuroHPC JU) will pool European resources to develop top-of-the-range exascale supercomputers for processing big data, based on competitive European technology. One of the pan-European pre-exascale supercomputers, LUMI, is located in CSC’s data center in Kajaani, Finland.

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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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Extremes DT

Extremes DT aims to provide an on-demand workflow with co-design of high-resolution predictions about extreme weather events utilising the EuroHPC high performance computer platforms, combined with decision making support for impact sectors including hydrology, air quality and energy meteorology.

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FAIR

FAIR helps small and medium-sized enterprises (SMEs) to advance their digital and green transformation by providing expertise in AI, cybersecurity, high-performance computing (HPC) and Extended Reality (XR) as well as through training and skills development.

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FAIR-IMPACT

FAIR-IMPACT focuses on expanding FAIR solutions across the EOSC, building on the results of FAIRsFAIR and other relevant projects and initiatives. Its ambition is to enable a FAIR supporting EOSC together with scientific communities and relevant stakeholder groups, and to take steps towards realising the ambition of a web of Open Science.

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FAIRCORE4EOSC

Leveraging existing technologies and services, the FAIRCORE4EOSC project will develop nine new EOSC-Core components aimed to improve the discoverability and interoperability of an increased amount of research outputs.

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FIN-CLARIAH

FIN-CLARIAH is the Finnish research infrastructure (RI) for Social Sciences and Humanities (SSH) comprising of two components, FIN-CLARIN and DARIAH-FI, that provide SSH researchers access to diverse collection of documents, research data and tools. The aim of the ongoing development project is to significantly upgrade the SSH infrastructural support.

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Finnish Quantum Flagship

The Finnish Quantum Flagship brings together leading quantum experts in physics, computational science, mathematics, nano science and -technology, as well as economics. The Flagship will foster collaboration across organizations and disciplines to prepare the Finnish society for the benefits and implications of quantum technology.

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FiQCI

The Finnish Quantum-Computing Infrastructure (FiQCI) provides an open, state-of-the art, hybrid high-performance computing and quantum computing (HPC+QC) platform. FiQCI is accessible through a unified interface, serving the entire national research and development scene.

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GDI

The Genomic Data Infrastructure (GDI) project brings together national agencies, research organisations, and technology providers in 22 countries to provide a cross-border federated network of national genome collections for advancing data-driven biomedical research and personalised medicine solutions to benefit citizens of Europe.

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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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GN5-1

GN5-1 aims to provide faster, more resilient and secure connectivity infrastructure and collaboration services to enable researchers and students’ access to applications that support evidence-based and effective collaboration across virtual research teams, worldwide.

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GraspOS

GraspOS aims to enable a rewards and recognition system based on a new generation of (qualitative or quantitative) metrics and indicators, leading to a culture and system change that increases the quality and impact, the creativity and the transparency of and trust in science.

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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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HANAMI

The HANAMI project seeks to promote advances in supercomputing by facilitating the exchange of computing resources between the European Union and Japan through the porting of existing code and testing performance and the viability of applications to run on alternative computing architecture.

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HEAP

HEAP will provide a research resource for an integrated and efficient analysis of the human exposome. HEAP will launch a state-of-the-science informatics infrastructure composed of prime ICT resources, accessed through a software platform to provide data warehousing and applied AI.

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Heilsa Tryggvedottir

The objective of Heilsa Tryggvedottir e-Infrastructure collaboration is to productise and build on NeIC Tryggve project to increase interoperability of the Nordic e-Infrastructure to support data management, including requirements for data quality, standards, technical infrastructure, while also considering ethical, legal, and societal issues.

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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 is an umbrella research infrastructure, coordinating the distributed national nodes of European environmental research infrastructures (ICOS, ACTRIS, eLTER and AnaEE) in Finland. The components of INAR RI study the atmosphere, biosphere and their interactions.

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INTERVENE

The aim of INTERVENE is to build the largest pool of health data to date and integrate longitudinal and disease-relevant omics data into genetic risk scores with unprecedented potential for prediction, prognosis, and personalised treatments of complex and rare diseases.

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KUHA2

The KUHA2 project will create a practical application that visualizes athlete and synthetic data collected from different sources in a common data pool. The goal is to create a user-friendly and visually attractive tool that enables quick feedback to athletes and coaches, and which can be used in exercise and well-being more broadly in the future.

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LIH EDIH

LIH supports SMEs and mid-caps providing services utilizing location data, services and technology as well as public sector bodies utilizing or producing location data, services and technology in advancing the use of artificial intelligence, high-performance computing, cybersecurity and advanced digital skills by applying location intelligence.

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