Current international projects


Duration: 1.12.2018 r. - 30.11.2022 r.
Aim: The PRIMAGE project aims at creation of a Clinical Decision Support System (CDSS) for the treatment of cancer (nauroblastoma, glioma) in children. The system will use the HPC infrastructure. Patients' data will be used in the multi-scale computational models of cancer designed to define disease biomarkers. The created CDSS system will help oncologists both in diagnosis and in predicting of disease progression and treatment effectiveness.
Contact: Marian Bubak, e-mail: bubak at, phone: (+48 12) 328 33 56



Full name: Integrating and managing services for the European Open Science Cloud
Duration: 1.01.2018 r. - 31.12.2020 r.
Aim: The aim of the EOSC-hub project is to prepare the launch of a production infrastructure for open science in Europe. The implementation will be based on existing services representing TRL8 level and above. In addition, there will be many integration activities enabling the activation of various environmental groups, giving them the opportunity to properly integrate with the European cloud.
However, the most important goal is the practical application of solutions developed as part of the EOSC-Pilot project to a real large-scale environment scattered across most European countries.
Contact: Łukasz Dutka, e-mail: l.dutka at, phone: (+48 12) 632 33 55
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Full name: PROviding Computing solutions for ExaScale ChallengeS
Duration: 1.11.2017 r. - 31.10.2020 r.
Aim: The solutions developed within the PROCESS (PROviding Computing solutions for ExaScale ChallengeS) project will be a breakthrough step in the creation of innovative, exascale processing services, maximizing the benefits of modern data processing systems. The results of the project will include five prototype large-scale data management services implemented using mature, modular, extensible open source solutions to create a user-friendly data processing platform.
Contact: Marian Bubak, e-mail: bubak at, phone: (+48 12) 328 33 56



Full name: eXtreme DataCloud
Duration: 1.11.2017 r. - 31.01.2020 r.
Aim: The goal of the XDC (eXtreme DataCloud) project is to build specialized solutions for managing and processing large-scale data in a hybrid cloud, thus introducing access and data migration in distributed cloud environments.
Contact: Łukasz Dutka, e-mail: l.dutka at, phone: (+48 12) 632 33 55
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CECM Teaming for Excellence

Full name: A Centre for New Methods in Computational Diagnostics and Personalised Therapy
Duration: 1.09.2017 r. - 31.08.2018 r.
Aim: The project will develop a Business Case to establish in Poland Europe's first Centre for simulation-driven healthcare Decision Support. The Centre's mission comprises development of new computation-based solutions for diagnostics and therapy in daily healthcare to improve personalised patient treatment, enhanced growth of SMEs which deal with technologies and services for novel personalised diagnostics and treatment strategies, as well as strong advancement of algorithms, models and technologies involved in personalised medicine.
The project aims to develop a Business Plan establishing the Centre and enabling it to achieve measurable success through introduction of a number of solutions based on computational models to clinical trials, development of a number of new market-ready products and services based on innovations, authoring highly cited scientific papers, obtaining patents and securing grants.
The Plan will be based on the Polish Specialisation Strategy and will be elaborated by two Polish partners: ACC Cyfronet AGH (experts in simulation and computing infrastructures for science) and Klaster LifeScience Kraków (top cluster of industry, academia and hospitals in the life sciences domain), in collaboration with the University of Sheffield and Insigneo Institute (experts in translation of in silico modelling and simulations to clinics), Forschungszentrum Jülich (experts in innovative HPC and data techniques for science and industry) and Fraunhofer ISI (experts in systemic multi-domain solutions and innovation in medicine).
Contact: Marian Bubak, e-mail: bubak at, phone: (+48 12) 328 33 56



Full name: Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe
Duration: 1.05.2017 r. - 30.04.2020 r.
Aim: The overall objective of SERA is to give a significant contribution to improve the access to data, services and research infrastructures, and deliver solutions based on innovative R&D in seismology and earthquake engineering, aiming at reducing the exposure of our society to the risk posed by natural and anthropogenic earthquakes. 
Contact: Mariusz Sterzel, e-mail: m.sterzel at, phone: (+48 12) 632 33 55 ext. 314
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Full name: Authentication and Authorisation For Research and Collaboration
Duration: 1.05.2017 r. - 30.04.2019 r.
Aim: The goal of AARC2 is to design an AAI (authentication and authorisation infrastructure) framework to develop interoperable AAI, to enable researchers to access the whole research and infrastructure service portfolio with one login. AARC2's objectives involve: 1) enabling federated access in research communities participating in AARC2, 2) assisting research communities to map their requirements to concrete service offerings, 3) supporting research (e-)infrastructures to implement the integrated architecture and policies frameworks developed by AARC project, 4) offering different training to adopt AARC/AARC2 results, 5) enhancing the integrated architecture.
Contact: Mariusz Sterzel, e-mail: m.sterzel at, phone: (+48 12) 632 33 55 ext. 314
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Full name: PRACE 5th Implementation Phase Project
Duration: 1.01.2017 r. - 30.04.2019 r.
Aim: The objectives of PRACE-5IP are to build on and seamlessly continue the successes of PRACE and start new innovative and collaborative activities proposed by the consortium. These include: 1) assisting the transition to PRACE2 including analysis of TransNational Access, 2) strengthening the internationally recognised PRACE brand, 3) continuing and extending advanced training which so far provided more than 18 800 persontraining days, 4) preparing strategies and best practices towards Exascale computing, 5) coordinating and enhancing the operation of the multi-tier HPC systems and services, 6) supporting users to exploit massively parallel systems and novel architectures.
Contact: Łukasz Dutka, e-mail: l.dutka at, phone: (+48 12) 632 33 55
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Full name: The European Open Science Cloud for Research Pilot Project
Duration: 1.01.2017 r. - 31.12.2018 r.
Aim: The project will support the first phase of the EOSC (European Open Science Cloud) project by developing the foundation of the Open Science Cloud for Research, which will enable to easily combine multiple types of resources. In addition, a number of experimental pilot projects will be carried out to demonstrate future solutions. Within the project, a deep analysis of the problem of open science management on the Europen scale will be carried out, with a proposal of a new target model.
Contact: Łukasz Dutka, e-mail: l.dutka at, phone: (+48 12) 632 33 55
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Full name: EPOS Implementation Phase
Duration: 1.10.2015 r. - 30.09.2019 r.
Aim: EPOS is integrating the diverse, but advanced European Research Infrastructures for solid Earth Science, and will build on new e-science opportunities to monitor and understand the dynamic and complex solid-Earth System. The EPOS Implementation Phase project (EPOS IP) builds on the achievements of the successful EPOS preparatory phase project (EPOS PP); it is dedicated to realize the key elements of the EPOS implementation phase: the legal and governance framework, the financial framework for all its components, and a successful transition from the preparatory phase to the operational phase, being synergetic and coherent with the establishment of the EPOS-ERIC.
Contact: Tomasz Szepieniec, e-mail: t.szepieniec at, phone: (+48 12) 632 33 55 ext. 310
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Full name: Personalised Decision Support for Heart Valve Disease
Duration: 1.02.2016 r. - 31.01.2019 r.
Aim: Valvular Heart Disease currently affects 2.5% of the population, but is overwhelmingly a disease of the elderly and consequently on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation. By combining multiple complex modelling components developed in recent EC-funded research projects, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan. This algorithmically-driven process will dramatically improve outcomes and consistency across Europe in this fast-growing patient group, maximising individual, societal and economic outcomes.
Contact: Marian Bubak, e-mail: bubak at, phone: (+48 12) 328 33 56
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