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HPC and Big Data Technologies for Global Systems

Project description

Highly accurate coupled simulations of global challenges

From healthcare and the uptake of green technologies to the evolution of the global climate and stress test for the financial sector, global challenges are becoming increasingly complex. Solutions are just as complex and require interdisciplinary and global systems. For instance, problem statements and their associated parameters are dependent on each other, resulting in interconnected simulations with a tremendous overall complexity. Solutions cannot be based on gut feelings. In this context, the EU-funded HiDALGO project will enable highly accurate coupled simulations, data analytics and data visualisation. By providing knowledge on how to integrate the various workflows as well as the corresponding data, the project will help minimise statistical errors.

Objective

Developing evidence and understanding concerning Global Challenges and their underlying parameters is rapidly becoming a vital challenge for modern societies. Various examples, such as health care, the transition of green technologies or the evolution of the global climate up to hazards and stress tests for the financial sector demonstrate the complexity of the involved systems and underpin their interdisciplinary as well as their globality. This becomes even more obvious if coupled systems are considered: problem statements and their corresponding parameters are dependent on each other, which results in interconnected simulations with a tremendous overall complexity. Although the process for bringing together the different communities has already started within the Centre of Excellence for Global Systems Science (CoeGSS), the importance of assisted decision making by addressing global, multi-dimensional problems is more important than ever. Global decisions with their dependencies cannot be based on incomplete problem assessments or gut feelings anymore, since impacts cannot be foreseen without an accurate problem representation and its systemic evolution. Therefore, HiDALGO bridges that shortcoming by enabling highly accurate simulations, data analytics and data visualisation but also by providing knowledge on how to integrate the various workflows and the corresponding data.

Call for proposal

H2020-INFRAEDI-2018-2020

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Sub call

H2020-INFRAEDI-2018-1

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Coordinator

ATOS SPAIN SA
Net EU contribution
€ 562 000,00
Address
Calle de albarracin 25
28037 Madrid
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Other funding
€ 0,00

Participants (13)