The workshop aims to bring together experienced researchers with young scholars in the fields of Innovation, Economic Complexity and Economic Geography to understand knowledge accumulation and spillovers through products, people and places. Those interested in interdisciplinary research, especially bridging a gap between these topics are strongly encouraged to apply. Complementary to the workshops provided there will also be young scholar presentations where the invited speakers will provide feedback in their respective relevant sessions.
August 5-7, 2018
MIT Media Lab, E14 – 633
75 Amherst Street, Cambridge, MA
Neuroscience is a highly interdisciplinary field focused on uncovering the dynamics of brain and, more in general, the complex functions and structures of neural systems. These topics constitute paradigmatic examples of complex systems, and can be studied by using different frameworks, spanning from nonlinear dynamics to complex networks. In addition, the increasing availability of data coming from tools like fMRI, EEG, and others, has strongly supported new investigations. At the same time, although these topics are maybe among mostly investigated in science, a lot must yet be discovered. Remarkably, neural systems have had a great impact also in parallel fields, e.g. artificial intelligence, leading to propose new algorithms and computational techniques. For instance, neural networks and their evolution to the modern deep learning represent one of the most successful cases. It is worth to highlight that some of these tools (e.g. Deep Learning) are now widely used for investigating (biological) neural systems, e.g. for analyzing brain waves. As result, a big interdisciplinary community composed of neuroscientists, physicists, mathematicians, computer scientists, and many others, nowadays collaborates on the same projects and interacts trying to obtain new insights in this complex and exciting field. The proposed satellite will be focused on theoretical neuroscience, and its extensions to AI/Deep Learning, in order to attract the interest of researchers working in a highly interdisciplinary contexts, often overlapping, with the aim to trigger discussions and sharing novel ideas on the field. In particular, we aim to have a specific focus on the synopsis of current research into complex networks in human neuroscience, supported by data coming from fMRI/EEG/etc, on the complexity emerging in artificial neural networks, and on the potential synergy between the two fields.
The objective of the 10th congress of the European Union for Systemics (EUS) is to develop a systemic representation of the processes inherent to crises during interdisciplinary meetings, combined with a trans-disciplinary vision. This systemic representation will provide theoretic, methodological and practical tools applicable to specific cases of systems in crisis. All these resources will help the agent taking relevant actions for the benefit of a society willing to reach a high level of sustainability for future generations.
A SYSTEMIC VISION OF THE CRISES
From optimization to change strategy?
10th congress of the European Union for Systemics (UES2018)
15-16-17/10/2018, Brussels, Belgium
University of Crete (UoC), Greece, Foundation for Research and Technology (FORTH), Greece, University of Amsterdam (UvA), the Netherlands and Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University), Russian Federation, announce 2018 International Young Scientists Conference for young researchers and professionals in HPC technologies and computer modeling to take place at University of Crete, Heraklion, Greece.
The Conference aims to strengthen the ties between young scientists in different countries, thus promoting future collaboration in the framework of Computational Science and major application aspects of High Performance Computing, Computer Modeling and Simulation to tackle a wide range of issues in science, industry and business.
Simulation and systems thinking is one way to explain the complex world in which we live. By collecting data and creating computer models, scientists can make predictions on critical problems, such as how to influence the flow of traffic, how an epidemic will spread or the probability of individuals in society becoming addicted to drugs. The conference will cover the aspects related to HPC, BigData, large scale simulation of complex systems and offers an ideal range of topics for final year Master’s student or starting PhD students interested in this domain.
Young Scientists Conference
in Computational Science
2 – 6 July, 2018,