preferably with a background in computer science or physics for the ambitious ERC Advanced Investigator Grant "Momentum – Modeling the Emergence of Social Complexity and Order: How Individual and Societal Complexity Co-Evolve".
The Momentum project is about creating emergent social intelligence based on computational evolution and learning. It aims to model and simulate social interactions between sophisticated agents with cognitive capabilities and the resulting complex social dynamics on the macro-level, including phenomena such as self-organization, emergence of cooperation, social norms, and culture. The successful applicant will focus on the more technical, computation-related aspects, but will actively interact with the other team members and should also acquire a high-level understanding of the topic.
The Course Syllabi database contains a collection of annotated links to course syllabi related to complex systems. These syllabi can be searched according to class topics, institution, instructor, education level, and several other attributes. These syllabi will be useful for instructors developing their own courses on various topics, as well as serving as guides to people who want to learn on their own.
The National Autonomous University of Mexico (UNAM) has an open call for postdoctoral fellowships to start in September, 2014 or March, 2015. 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.
Since 1994, the Center for Complex Systems and Brain Sciences at Florida Atlantic University, Boca Raton, has been the home of a unique cross-disciplinary Ph.D program in Complex Systems and Brain Sciences. The aim of this program is to create a new kind of brain behavioral scientist who will be biologically and mathematically literate, able to relate experimental data with theoretical/computational modeling and bring new ways of thinking and doing into the field of neuroscience. The courses are research oriented and consist of a core curriculum in neuroscience (including behavioral, computational and cognitive neuroscience), psychology, physics, and the mathematical concepts and tools of complex, nonlinear dynamical systems. Students learn how medical imaging techniques, laboratory research, and analytical and computational methods can be combined to offer powerful and unique insights into the human brain, its relation to mind and behavior and disorders thereof.
This course is anchored on the seven main sections associated with the key Economics areas where the complex systems studies approach to economy has been known to have important influence. These sections are: Section I: A Philosophical and Methodological approach to Economy using Complexity Sciences; Section II: The structure of interaction; Section III: Macroeconomics and Growth; Section IV: Financial Markets; Section V: International and Monetary Economy Dynamics; Section VI: Regional Economic Systems; Section VII: Evolutionary Economic Dynamics. Other than discussing the literature, the students will be invited to model, implement and discuss some of the underlying mentioned models using social simulation programming libraries.
Via Jorge Louçã
Complicity is an open access (free to all readers), peer-reviewed journal that publishes original articles on all aspects of education that are informed by the idea of complexity (in its technical, applied, philosophical, theoretical, or narrative manifestations). The journal strives to serve as a forum for both theoretical and practical contributions and to facilitate the exchange of diverse ideas and points of view related to complexity in education.
In this workspace, you can submit your proposal on what you think should be done to address global climate change. Try out new ideas, connect with other members, recruit collaborators, share your work, engage support, and invite a global community to review and help develop your proposal. This is just to get you started. When we release the 2014 round of Climate CoLab contests, you will be able to move your proposals from here to any relevant contest. All submissions are welcome: technologies, policies, products, public outreach campaigns, educational programs, economic models, community projects; new ideas or improvements on something that already exists; addressing climate change mitigation, adaptation, or geoengineering; local, regional, national, or global in scope.
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/
Typically, self-organisation (SO) is defined as the evolution of a system into an organised form in the absence of external pressures. SO within a system brings about several attractive properties, in particular, robustness, adaptability and scalability. In the face of perturbations caused by adverse external factors or internal component failures, a robust self-organising system continues to function. Moreover, an adaptive system may re-configure when required, degrading in performance “gracefully” rather than catastrophically. In certain circumstances, a system may need to be extended with new components and/or new connections among existing modules — without SO such scaling must be preoptimised in advance, overloading the traditional design process. In general, SO is a not a force that can be applied very naturally during a design process. In fact, one may argue that the notions of design and SO are contradictory: the former approach often assumes a methodical step-by-step planning process with predictable outcomes, while the latter involves non-deterministic spontaneous dynamics with emergent features. Thus, the main challenge faced by designers of self-organising systems is how to achieve and control the desired dynamics. Erring on the one side may result in over-engineering the system, completely eliminating emergent patterns and suppressing an increase in internal organisation with outside influence. Strongly favouring the other side may leave too much non-determinism in the system’s behaviour, making its verification and validation almost impossible. The balance between design and SO is the main theme of guided self-organisation (GSO). In short, GSO combines both task-independent objectives (e.g., information-theoretic and graph-theoretic utility functions) with task-dependent constraints.
The Resources section contains annotated links to a wide variety of web-based resources related to complex systems. These include journals, conferences, tutorials, software, videos, among other types of resources that will be useful for all levels of interest.
Postdoc with a strongbackground in computer science to strengthen our interdisciplinary team in the areas of Web science, Big Data analytics, smartphone platforms, and distributed computing. The goals of this project include designing a "Planetary Nervous System" that would give us a detailed real-time view of the world, crawling and analyzing web content on a large scale, and establishing a smartphone platform for gathering scientific data. The successful applicant is expected to actively interact with other team members from different disciplines and to acquire a high-level understanding of the general topics in quantitative social sciences, sociophysics, and related areas.
Since its founding in 1984, the Santa Fe Institute has reinvented the practice of science by creating a unique research environment that rejects disciplinary boundaries. Here, leading theoretical scientists from many fields collaborate in search of fundamental principles that govern physical, biological, social, and informational organization at all scales. The Institute now seeks an uncommon leader to guide this world-renowned nonprofit research and education center. Dr. Jeremy Sabloff will retire in August 2015 after serving two 3-year terms leading the Institute.
Infrastructure Complexity aims to understand, shape and design complex systems and services that emerge from a collection of interacting physical objects and social actors in an urban environment. It aims to propel sustainable urban systems, through urban metabolism, and is rooted in the fundamental understanding of urban (infrastructure) systems and services.
The signatories of this declaration call upon nation states to take action. Intelligence agencies must be subjected to transparency and accountability. People must be free from blanket mass surveillance conducted by intelligence agencies from their own or foreign countries. States must effectively protect everyone's fundamental rights and freedoms, and particularly everyone's privacy.
If you are an academic and you would like to sign the declaration, please email info (at) academicsagainstsurveillance.net with your name, academic function and university in the subject line.
Here is a suggestion of the components and sections that commonly go into a scientific paper. Note that none of the sections in between Introduction and References is strictly necessary: here you should adapt the scheme to your own subject and approach, and choose different headings for your sections. For example, theoretical papers will normally not have a "methodology" or "results" section, but are likely to have a more extensive review of the literature, and development of the arguments.
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.