Funded by the European Union

News from CoeGSS

The Centre of Excellence for Global Systems Science has been launched in October 2015. Read about what we do in the "message by the coordinator" and about how we do it explained from a Global Systems Science (GSS) and High Performance Computing (HPC) perspective. Find out who we are and find an example of what we will produce below.

Message from the coordinator:
CoeGSS - Our Motivation

Humankind is getting more and more entangled with global systems – the Internet, financial markets, fossil fuel use, public health are just a few examples. In the years and decades to come these systems will present major challenges and opportunities for many actors. To deal with the challenges or to identify and seize opportunities, one needs capabilities for transdisciplinary work that cannot be mastered without very big datasets and algorithms that require the power of high performance computing.
Examples of major societal relevance are given by our pilot studies: globally relevant health habits, mobility patterns for green growth, and sustainable urban development.

The Centre of Excellence for Global Systems Science – CoeGSS – will operate in a currently emerging market: a market for services that help businesses, governments and other decision makers to tackle global challenges that require Big Data and massive computing resources while having major societal relevance.

About CoeGSS
The CoeGSS consortium consists of HPC centresresearch institutions and business partners. These will be introduced in the following newsletters.
Project meeting at the Poznan Supercomputing and Networking Center.
Global Systems Science combines advanced computer modelling of complex social systems and conversations with practitioners to develop understanding of global systems. Synthetic populations are used to model complex social systems at a high level of detail: virtual agents represent a real-world population on a computer in such a way that statistics relevant to the question under study coincide with the statistics of the real-world population. Simulations of interactions of the virtual agents then allow to explore possible evolutions of the system.

Based on its three pilot studies, the Centre of Excellence for Global Systems Science develops an HPC-based framework to generate customized synthetic populations for GSS applications. With the help of HPC/HPDA resources, this tool will assist decision makers in reflecting on these systems and assessing possible consequences of their actions.

To tackle GSS problems, the data centric branch of high performance computing – high performance data analytics (HPDA) – will be one of the key technologies. GSS requires the processing of huge amounts of data in an efficient, precise and fast manner, which requires assistance of HPC systems.

In CoeGSS, the 5 Vs of Big Data (Volume, Velocity, Variety, Value and Veracity) will be explored by research and production service provisioning. Data volume, velocity and variety are addressed by different data sources and are complemented by value and veracity of highly secure and private data.

Those paradigms will evolve both HPC development and GSS related problem analysis and decision making.



The CoeGSS pilots use HPC to address three global challenges:
Health Habits - how can we improve the health care of tomorrow?
Green Growth - how can economic development and environmental protection go hand in hand?
Global Urbanization – simulate complexity to prepare the city of the future!

Here is a foretaste from the Green Growth pilot, that studies the evolution of the global car fleet and its emissions: did you know cars are roughly distributed like this?
4th Workshop on Parallel and Distributed Agent-Based Simulations satellite
Grenoble, France - Workshop of Euro-Par 2016, 22nd International European Conference on Parallel and Distributed Computing (Conference)
Global Systems Science and Policy: An Introduction 
Learn how Global Systems Science can inform and model the impact of social, economic, political and environmental policy making (Free Online Course)
Copyright © 2016 CoeGSS, All rights reserved.

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