HPC and Big Data Technologies for Global Systems

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.

Field of science

• /natural sciences/computer and information sciences/data science/big data
• /natural sciences/computer and information sciences/data science/data analysis

Programme(s)

• H2020-EU.1.4.1.3. - Development, deployment and operation of ICT-based e-infrastructures

Topic(s)

• INFRAEDI-02-2018 - HPC PPP - Centres of Excellence on HPC

Call for proposal

H2020-INFRAEDI-2018-1
See other projects for this call

Funding Scheme

Coordinator

Participants (12)