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CALL FOR PAPERS Deadline October 1st 
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The PyCX Project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems simulations, including iterative maps, cellular automata, dynamical networks and agent-based models.
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Welcome to the Network Science in Education site of the Center for Polymer Studies (CPS) Science Education Group at Boston University. Our science education work is a significant aspect of the goals of our interdisciplinary research center in the Physics Department and Science and Mathematics Education Center. Our research is devoted to interdisciplinary study of aspects of polymer, random, fractal and complex systems.
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Network Science is a new journal for a new discipline -- one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it.
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The 21st century is currently witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. This (r)evolution accompanying the paradigm shift from reductionism to complex systems sciences has already largely transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly. Editors-in-Chief
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Complexity Digest
March 28, 2012 3:54 PM
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Join our mission to find 5 people in different cities around the world in a day! If you help us win the challenge to locate all 5 of them, you will earn yourself a share of the cash prize!
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Joseph Lizier
March 19, 2012 1:24 PM
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Animals are proof that complete cognitive systems can be realized in neural substrates. It is thus natural that engineers from AI and machine learning have tried to design advanced cognitive systems on the basis of artificial neural networks. This has led to illuminating concepts and architectures in fields like computational linguistics, dynamic pattern recognition, autonomous agents, or evolutionary robotics. However, if one takes a close and critical look, one finds that nowhere do artificial systems close to biological levels of performance. One important cause for this gap is a lack of appropriate mathematical concepts. Biological neural systems are high-dimensional, nonlinear, heterogeneous, multiscale, nonstationary, stochastic, and heavily input-driven - a cocktail of properties which overwhelms current dynamical systems theory. Inasmuch as we do not possess mathematical models for such systems, we cannot understand them; and inasmuch as we do not understand, we cannot engineer. ...
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Complexity Digest
March 15, 2012 2:44 PM
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One of the main goals of the ASSYST Coordination Action is to promote Complex Systems for Socially Intelligent ICT (COSI-ICT) and, more generally, Complex Systems (CS) Science in Europe and Worldwide. We do this by communicating widely with scientists, policy makers, and business people, and by showcasing success stories of CS applications.
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Complexity Digest
June 7, 2012 12:30 PM
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Complex Adaptive Systems Modeling (CASM) is a highly multidisciplinary modeling and simulation journal that serves as a unique forum for original, high-quality peer-reviewed papers with a specific interest and scope limited to agent-based and complex network-based modeling paradigms for Complex Adaptive Systems (CAS).
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Complexity Digest
May 14, 2012 4:17 PM
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3 PhD positions on evolution of speech
Vrije Universiteit Brussel, Brussels, Belgium
Deadline: July first 2012
Envisaged starting date: September 2012
The AI-lab of the Vrije Universiteit Brussel is looking for three PhD students that will work on Bart de Boer’s European Research Council project “ABACUS”. The ABACUS project investigates (evolution of) cognitive mechanisms for dealing with combinatorial speech. It uses a combination of iterated learning experiments, individual learning experiments and computational modeling. For each of these lines of research, a PhD position is available. The PhDs of the different projects are expected to cooperate closely with each other.
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Complexity Digest
May 4, 2012 10:41 AM
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Our group based at ETH Zurich, Switzerland, is looking for a PhD candidate to work on the analysis of dynamical social networks and the adaptive benefit of individual strategies in a population of wild house mice.
Name: Nicolas Perony
Email: nperony@ethz.ch
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Complexity Digest
April 25, 2012 4:22 PM
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Intelligent systems and robots are expected to become an integral part of our daily lives. In order to be accepted by, and interact efficiently and naturally with humans, they have to adapt to changing environments as well as the users they interact with. Intelligent systems are not only expected to automatically acquire and manage knowledge through a variety of sensors but also to learn and optimise their behaviour over time. This International Master’s programme aims to provide students with the ability to create these intelligent adaptive systems and to prepare them for a future market, where intelligent behaviour is considered the standard for computer systems.
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Complexity Digest
March 22, 2012 11:15 PM
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Valparaíso Complex Systems Institute website has a new image
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David Rodrigues
March 17, 2012 11:24 PM
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The Complex Systems Society is launching a Liquid Journal of Complex Systems. It is an online journal that allows the possibility of the publication to evolve with community feedback until it reaches a state ready for printed publication.
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Complexity Digest
March 15, 2012 2:44 PM
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NECSI welcomes applications for postdoctoral and student positions for research projects on unified approaches relevant to describing and analyzing complex systems.
