This course will begin on January 6, 2014. If you are enrolled, you will receive email notification that the course has started. In this course you'll gain an introduction to the modern study of dynamical systems, the interdisciplinary field of applied mathematics that studies systems that change over time. Topics to be covered include: phase space, bifurcations, chaos, the butterfly effect, strange attractors, and pattern formation.
Introduction to Dynamical Systems and Chaos (Winter, 2014) Instructor: David Feldman
The Department of Engineering Sciences and Applied Mathematics at Northwestern University (http://www.esam.northwestern.edu) invites applications for a full-time, tenure-track faculty position to begin in September 2014. Requirements include a Ph.D. and demonstrated ability to conduct high-impact interdisciplinary research in applied mathematics. We are seeking candidates who can enhance the breadth of research activities of the department. An area of particular interest is complexity in natural, human and engineered systems. Duties involve teaching and research. Rank and salary are negotiable.
The Department of Physics & Astronomy at Northwestern University invites applications for a faculty position in all areas of theoretical and experimental biological physics and complex systems. More information available here: http://www.physics.northwestern.edu/
The Nobel Prize in Chemistry 2013 was awarded jointly to Martin Karplus, Michael Levitt and Arieh Warshel "for the development of multiscale models for complex chemical systems".
Chemists used to create models of molecules using plastic balls and sticks. Today, the modelling is carried out in computers. In the 1970s, Martin Karplus, Michael Levitt and Arieh Warshel laid the foundation for the powerful programs that are used to understand and predict chemical processes. Computer models mirroring real life have become crucial for most advances made in chemistry today.
The Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM) has a open call for research professors.
Enrollment for Introduction to Complexity will be available on September 30, 2013, at which time the course will begin and the course materials will be available. You may enroll at any time during the course (September 30 - December 13, 2013).
The journal Human Computation provides an international and interdisciplinary forum for the electronic publication and print archiving of high-quality scholarly articles in all areas of human computation. There are no author fees and all published papers are freely available online.
Prof. Motter has postdoctoral positions open in the broad area of complex systems and networks. Applications for research faculty positions may also be considered. Research currently pursued in the group includes the modeling of network dynamical processes in physical and biological systems; network rescue and control; cascading failures; network synchronization; network structure beyond communities; applications to the physics of cancer, power transmission networks, and the design of new materials.
The National Autonomous University of Mexico (UNAM) has an open call for postdoctoral fellowships to start in March, 2014 (with a close deadline!). Candidates should have obtained a PhD degree within the last three years and be under 36 years, both to the date of the beginning of the fellowship. The area of interests of candidates should fall within complex systems, artificial life, information, evolution, cognition, robotics, and/or philosophy.
EPJ Nonlinear Biomedical Physics is a peer-reviewed, open access journal for the dissemination of knowledge about the applications of nonlinear dynamics and complexity-inspired integrative systems science, to the quantitative modeling and understanding of how structure, function and/or dysfunctions and diseases, often concomitantly, emerge in complex biomedical matter, systems and processes. The focus will be on the application-driven development of theoretical, experimental and computational techniques. This includes the development of relevant methodologies, instrumentation, and related advanced technology.
Data science applications are invited from candidates in all areas including data analytics and information extraction; data life cycle; data management, semantics, and infrastructure; data policy and security; data science foundations; and Big Data, including candidates with a record of achievement in industrial research.
Not only are our interactions limited and thus best described not by well-mixed models but rather by models entailing networks, it is also a fact that these networks are often interconnected and indeed very much interdependent. From the World economy to Google Circles, it is clear that processes taking place in one network might affect what is happening in many other networks. Within an interdependent system, each type of interaction has certain relevance or meaning, so that treating all the links identically inevitably leads to information loss. Interdependent or multiplex networks are therefore a much better description of such systems, and this Special Issue is devoted to their structure, dynamics and evolution, as well as to the study of emergent properties in multi-layered systems in general. Topics of interest include but are not limited to the spread of epidemics and information, synchronization, diffusion, random walks, collective behavior and evolutionary games on interdependent networks.
There is no way to predict the price of stocks and bonds over the next few days or weeks. But it is quite possible to foresee the broad course of these prices over longer periods, such as the next three to five years. These findings, which might seem both surprising and contradictory, were made and analyzed by this year’s Laureates, Eugene Fama, Lars Peter Hansen and Robert Shiller.
The Nobel Prize in Physics 2013 was awarded jointly to François Englert and Peter W. Higgs "for the theoretical discovery of a mechanism that contributes to our understanding of the origin of mass of subatomic particles, and which recently was confirmed through the discovery of the predicted fundamental particle, by the ATLAS and CMS experiments at CERN's Large Hadron Collider"
François Englert and Peter W. Higgs are jointly awarded the Nobel Prize in Physics 2013 for the theory of how particles acquire mass. In 1964, they proposed the theory independently of each other (Englert together with his now deceased colleague Robert Brout). In 2012, their ideas were confirmed by the discovery of a so called Higgs particle at the CERN laboratory outside Geneva in Switzerland..
The 2013 Nobel Prize honours three scientists who have solved the mystery of how the cell organizes its transport system. Each cell is a factory that produces and exports molecules. For instance, insulin is manufactured and released into the blood and signaling molecules called neurotransmitters are sent from one nerve cell to another. These molecules are transported around the cell in small packages called vesicles. The three Nobel Laureates have discovered the molecular principles that govern how this cargo is delivered to the right place at the right time in the cell. Randy Schekman discovered a set of genes that were required for vesicle traffic. James Rothman unravelled protein machinery that allows vesicles to fuse with their targets to permit transfer of cargo. Thomas Südhof revealed how signals instruct vesicles to release their cargo with precision. Through their discoveries, Rothman, Schekman and Südhof have revealed the exquisitely precise control system for the transport and delivery of cellular cargo. Disturbances in this system have deleterious effects and contribute to conditions such as neurological diseases, diabetes, and immunological disorders.
Systems Thinking in Practice is an exciting and emerging management discipline, providing tools to think strategically and challenge your approach to complex situations. The OU has over 40 years' experience, leadership and international recognition in the field of Systems Thinking. As an early pioneer of the subject, our qualifications have broken new ground in how to teach systems ideas, and have been studied by more than 30,000 people.
In the three decades since the Internet evolved from an experimental band of academic and government computer systems into a globe-spanning network of interconnected systems, the amount of time spent online has grown to rival (or even exceed) the time spent living offline. Personal computers, tablets and smartphones have made the connected life a reality, and the number of folks pursuing it has exploded.
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.
Economic research is based on building on, reusing and openly criticising the published body of economic knowledge. Furthermore, empirical economic research and data play a central role for policy-making in many important areas of our economies and societies. Openness enables and underpins scholarly enquiry and debate, and is crucial in ensuring the reproducibility of economic research and analysis. Thus, for economics to function effectively, and for society to reap the full benefits from economic research, it is therefore essential that economic research results, data and analysis be openly and freely available, wherever possible.
The goal of Guided Self-Organization (GSO) is to leverage the strengths of self-organization while still being able to direct the outcome of the self-organizing process. GSO typically has the following features: (i) an increase in organization (structure and/or functionality) over some time; (ii) the local interactions are not explicitly guided by any external agent; (iii) task-independent objectives are combined with task-dependent constraints.
A number of attempts have been made to formalize aspects of GSO within information theory, thermodynamics and dynamical systems. However, the lack of a broadly applicable mathematical framework across multiple scales and contexts leaves GSO methodology incomplete. Devising such a framework and identifying common principles of guidance are the main themes of the GSO workshops.
Of particular interest are well-founded, but general methods for characterizing GSO systems in a principled way, with the view of ultimately allowing them to be guided toward pre-specified goals. In general, various entropy methods drawing from, and overlapping with, information theory, thermodynamics, nonlinear dynamics and graph theory are relevant, while quantifying complexity and its sources is a common theme.
Deadline for manuscript submissions: 31 January 2014
According to Anthony Giddens (1979), human agency must include an acting subject that deals with action linearly. Sound simple, huh? In this duality of structure, on the most basic level people make up society but are inherently constrained by it (Giddens, 1979). Social interaction is strongly linked this unavoidable embeddedness of the individual within a (social) system (Giddens, 1979). But in Giddens’ writing, I find his musings around power most interesting.