Centre of excellence for Global Systems Science (CoeGSS)
Global Systems Science – GSS – is an emerging research field focused on the risks and opportunities involved in global coordination problems. Examples of global systems include the internet, financial markets, intellectual property rights, global energy use and others. Developing evidence and understanding in view of such systems and of related policies is rapidly becoming a vital challenge for modern societies. It requires capabilities for transdisciplinary work that cannot be mastered without massive use of ICT. By the nature of the problem, the relevant datasets are mostly very big, including data streams from social medi. To make things more complicated, the relevant algorithms do require the power of high-performance computing. High Performance Data Analysis (HPDA) is the key to success for GSS! A key contribution of the Centre of excellence for Global Systems Science – CoeGSS – will be the development of an HPC-based framework to generate customized synthetic populations for GSS applications. By blending GSS and HPC, we will be able to provide decision makers and civil society with real-time assessments of global risks and opportunities as well as with essential background knowledge about them. This will enable the HPC industry to supply hard- and software for applications well beyond the issues to which HPC has been dedicated so far.
- Institute of Bioorganic Chemistry Polish Academy of Sciences (Research Institute, Poland)
- CoSMo Company (Private, France)
- Top-IX Consortium (Non Profit, Italy)
- ISI Foundation (Research Institute, Italy)
- Universität Stuttgart (Academic, Germany)
- University of Potsdam (Academic, Germany)
- IMT Institute for Advanced Studies Lucca (Academic, Italy)
- Atos Spain (Private, Spain)
- Dialogik (Non Profit, Germany)
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Full Professor, Functional Programming division, and Deputy Head of Department, Computer Science and Engineering.
My twitter profile says: Computer scientist, Haskell hacker, catalyst of research ideas, likes to connect the big picture with formal details, software & language technology advocate.
PhD student, Mathematical Sciences
Ph.D. student in mathematical statistics with focus on biostatistics.
Professor at the Data Science division, Department of Computer Science and Engineering.
My main interests are in design and analysis of randomized algorithms, machine learning for Big Data and computational biology.
Guest researcher, Functional Programming division, Department of Computer Science and Engineering.
Post doc, Functional Programming division, Department of Computer Science and Engineering.
- European Commission (Horizon 2020) (Public, Belgium)