Summer School — COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (2nd edition)
ID
746138
Dates
16 May 2016 - 20 May 2016
Location
Como, Italy
Abstract
Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline---including sociology, transportation, economics and finance, biology, and myriad others---and the study of "network science" has thus become a crucial component of modern scientific education.
The school "Complex Networks: Theory, Methods, and Applications" offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.
Contact
Carlo Piccardi; Email: carlo.piccardi@polimi.it
Topics
Structural network theory: Traditional vs. non-traditional methods; Temporal networks; Spatial networks: theory and applications; Mesoscale structures in networks; Statistical inference of generative network models; Social and economical networks from (big-)data; The human structural connectome: organisation, development, and dynamics; Functional brain networks
Program — Theoretical Foundations for Statistical Network Analysis
ID
610011
Dates
11 Jul 2016 - 21 Dec 2016
Location
Isaac Newton Institute for Mathematical Sciences, , United Kingdom
Abstract
The core of this 6-month programme is understanding and quantifying mathematical structure in network models. Networks are ubiquitous in modern science and society. In fact, whenever we observe entities and relationships between them, we have network data. The behaviour of almost all networks, natural or engineered, physical or information-based, involves a strong component of randomness and is typically not fully or directly observed. Considerable open challenges remain in proving properties both of generative mechanisms for such networks, as well as of methods for inference. This motivates the development of theoretical foundations for statistical network analysis. Several workshops will take place during the programme, including an opening, midterm and closing workshop, as well as a Satellite Meeting and an Open for Business industry day. For full details please see http://www.newton.ac.uk/events.html .
4thICCDS2016 — 4th International Conference on Complex Dynamical Systems in Life Sciences: Modeling and Analysis
ID
742813
Dates
26 Oct 2016 - 28 Oct 2016
Location
Agadir, Morocco
Abstract
The 4th International Conference on Complex Dynamical Systems in Life Sciences: Modeling and Analysis (4thICCDS2016) will be held in Agadir, Morocco, 26-28 October 2016. The 4thICCDS2016 is jointly organized by Ibn-Zohr University (Morocco), Le Havre University (France), Tobb University (Turkey), and United Arab Emirates University (United Arab Emirates). The 4thICCDS2016 conference will maintain the diversity and breadth of topics that have traditionally characterized by the three successful conferences previously held in Turkey, namely, KDS2012 (Ankara, October 2012), KDS2013 (Istanbul, October 2013), and CDSS2014 (Ankara, November 2014).
The 4thICCDS2016 conference focuses on the recent mathematical and computational advances in complex dynamical systems in life sciences. This meeting will provide a joint forum for leading applied mathematicians and scientists actively working in the diverse fields of life sciences in order to exchange ideas, advance the knowledge of research, discuss future research challenges, and explore opportunities for collaborative exchange and education.
ODE, DDE and PDE based modelling for complex systems Dynamical systems and chaos Multi-scale Systems Semi-groups theory Bifurcation theory Synchronization Control theory System theory Stochastic complex dynamical systems and randomness Fractional dynamics Fuzzy systems and fuzzy control Hybrid systems Complex networks based-models Complex networks implementation Optimization in complex system Swarm Intelligence Methods Multi-agent systems Neural Networks Hysteresis Phenomena Multiple Scale Systems self-organizing nonlinear systems Singular Perturbations Noise and Fluctuations in Systems with Memory Stochastic and Coherence Resonances Phase Transitions Population Dynamics and Conservation Biology Ecosystems Evolution and Ecology Epidemiology and Disease Modeling Fishery Neuroscience Regulatory Networks Cell and Tissue Biophysics Systems Physiology Phylogeny Reconstruction Evolution and Populations Genetics Cell and Developmental Biology Cancer and Immunology Bio-engineering, Bio-imaging and Bio-fluids Environmental Sciences Geographical Systems and Territorial Intelligence Urban mobility Natural and Technological Risk Modeling, Simulation and Management Social Economy Systems Climate change