The NTU Complexity Institute is the first of its kind in Asia which promotes cross-disciplinary research that can be translated into the principles that underlie complex adaptive systems. While pushing the frontiers of knowledge, the Institute also seeks to provide thought leadership in the policy arena. It has close ties with the Santa Fe Institute in US, Stockholm Resilience Centre and other leading research organisations. We invite applications for:
Full Professor in Complexity Science, with reference to Urban Adaptive Systems.
• Expertise in cities as complex adaptive systems
• Able to chart new research directions with relevance to key policy issues such as mobility, health, population and environment in Singapore, Asia and beyond
• Outstanding record of teaching and research, a strong international profile, and proven academic leadership abilities
The successful candidate will be appointed to a full professorship in one of the Colleges of the University, depending on the field of specialisation and research interests, and hold a concurrent appointment as Research Leader in the Complexity Institute.
The papers in this special issue address questions at the intersection of these three topics: scientific understanding, computer simulation and vi- sualization. They are a subset of the papers presented at a workshop on scientific understanding held at the Lorentz Center (Leiden, The Nether- lands) in 2010. Spanning a wide range of scientific fields—from sociology to biology to climate science to fundamental physics—as a group they both reveal common threads and serve as a reminder of the diversity of practices in science, including thought experiments, theoretical analysis on paper, computer simulations, and data-intensive research employing online databases.
Introduction: Simulation, Visualization, and Scientific Understanding Henk W. de Regt, Wendy S. Parker
Fall 2014, Vol. 22, No. 3, Pages 311-317 http://dx.doi.org/10.1162/POSC_e_00135
All systems in nature have one thing in common: they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred and modified. Indeed, bits of information about the state of one element will travel—imperfectly—to the state of the other element, forming its new state. This storage, transfer, and modification of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system could reveal new fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics, would reduce to a single language of information processing.
Guest Editor: Dr. Rick Quax
Deadline for manuscript submissions: 28 February 2015
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 a tenure-track research professor in big data.
The Institute for Analytical Sociology at Linköping University is looking for up to five highly qualified postdocs to be part of an ambitious interdisciplinary research program on modeling segregation processes. The program is directed by Peter Hedström and includes a group of researchers with variety of disciplinary backgrounds [see http://www.liu.se/ias?l=en ]. In the research program, we use large-scale register data, selected field experiments, and the tools of analytical sociology and complexity science to better understand the processes through which schools, organizations, and neighborhoods become segregated. We seek outstanding social scientists whose research interests and qualifications resonate well with the core themes of the research program, and whose research agendas have a high potential to contribute to the development of the methodological and theoretical foundations of the social sciences. The successful candidates are expected to work independently and to collaborate with colleagues within the project. Experience in handling and analyzing large-scale micro-level data, experimental design, network analysis, and/or agent-based simulation modeling is a merit. We can offer a stimulating research environment, extraordinary data materials - including micro-level population register data for the years 1990 to 2012 - and competitive salaries. The position will initially be for two years, with a possible extension, and should preferably be taken up no later than January 2015. The position entails no teaching or supervision obligations.
IMT Institute for Advanced Studies Lucca offers a multidisciplinary PhD program that integrates scientific competences of economics, engineering, computer science, physics, applied mathematics, statistics, history and sciences of cultural heritage. It offers a unique and characteristic patrimony of competences within the broad framework of the analysis and management of a plurality of systems. The three year program is articulated in curricula. The 8 curricula currently offered are field-specific, although in many instances they share a common scientific background. Candidates can apply for one (or more) of the following curricula:
• Economics (ECON) • Management Science (MS) • Complex Networks (CN) • Computational Mechanics (CM) • Control Systems (SYS) • Computer Science (CS) • Image Analysis (IA) • Analysis and Management of Cultural Heritage (AMCH)
No tuition fees (regional tax excluded), free room and access to IMT Canteen, grant of 13,600 EUR gross/year
[Educators Grades K-Higher Education] [Available: Nationally] NASA Innovations in Climate Education, or NICE, is designed to improve the quality of the nation's STEM education and enhance students' and teachers' literacy about global climate and Earth system change, from elementary grades to lifelong learners.
Ever wanted to see the results of the football world-cup in advance? Here you go.
This is a probabilistic simulator for the upcoming soccer World Cup. It applies different rules to rate the strength of the teams and to calculate a team's chance to win in a match. Repeating the simulation of the tournament multiple times results in a probability distribution, that shows how likely a team is to advance to the finals.
Frontiers in Robotics and AI is the first open-access community journal covering the fields of robotics and artificial intelligence and joins the growing “Frontiers in” journal series. Frontiers in Robotics and AI will make use of the unique Frontiers open-science platform for open-access publishing and research networking, which provides an equal opportunity to seek, share and create knowledge.
Current specialty sections and associated journals open for submissions to Frontiers in Robotics and AI include:
· Biomedical Robotics (Specialty Chief Editor: Darwin Gordon Caldwell) · Bionics and Biomimetics (Specialty Chief Editor: Danilo Emilio De Rossi) · Computational Intelligence (Specialty Chief Editor: Mikhail Prokopenko) · Evolutionary Robotics (Specialty Chief Editor: Gusz Eiben) · Humanoid Robotics (Specialty Chief Editor: Giorgio Metta) · Multi-Robot Systems (Specialty Chief Editor: Herbert Glenn Tanner) · Neurorobotics (Specialty Chief Editors: Alois C Knoll and Florian Röhrbein) · Neuroengineering (Specialty Chief Editor: Laura Ballerini) · Sensor Fusion and Machine Perception (Specialty Chief Editor: Shashi Phoha) · Virtual Environments (Specialty Chief Editor: Mel Slater)
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 Thematic Series 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.
The éToile Platform ( http://www.etoileplatform.net ) supports students aiming to participate in the ECCS14 - European Conference in Complex Systems, Lucca, Sept 22-26, 2014 ( http://eccs14.eu ). 10 registrations will be offered to students according to their contributions to the platform.
Master and PhD students, from any university, are invited to register in the platform and improve their reputation within the new éToile community.
The Complex Systems Society is proud to announce the first edition of the CSS Scientific Awards. These awards will be conferred once a year in two categories: the senior scientific award will recognize outstanding contributions of CSS members at whatever stage of their careers, whereas the junior scientific award is aimed at recognizing excellent scientific record of CSS young researchers (within 7 years of PhD completion).
The School of Informatics and Computing (SoIC) at Indiana University Bloomington invites applications for an asst/assoc/full professor position in complex networks and systems, in the Informatics Division, to begin in August 2015. The position is expected to be filled at the senior level, but outstanding junior candidates will be considered.Applications are especially encouraged from established leaders, who will have opportunities for leadership roles in the Center for Complex Networks and Systems and in a new and ambitious university-wide network science initiative to be announced.Applicants should have an established record (senior level) or demonstrable potential for excellence (junior level) in research and teaching, and a Ph.D. in a relevant area, or (junior level) expected by 8/2015.https://indiana.peopleadmin.com/postings/1069
Here you will find a description of the aims, activities and theoretical synthesis of the "Information - Function - Biology" project.
The broad aim is to advance a deep understanding of life and living which integrates concepts over all scales, all time and all forms of biological organisation. The key insight enabling this is to see that living is an information process, that living forms are concentrations of information engaged in storing, communicating, filtering and recombining information. There are several inspirations for this work, but perhaps the most prominent is the book by Erwin Schrodinger, which he called “What is Life?*”. That is why this website has the URL http://www.whatlifeis.info
In recent years, ideas such as "life is information processing" or "information holds the key to understanding life" have become more common. However, how can information, or more formally Information Theory, increase our understanding of life, or life-like systems?
Information Theory not only has a profound mathematical basis, but also typically provides an intuitive understanding of processes, such as learning, behavior and evolution terms of information processing.
In this special issue, we are interested in both: a.) the information-theoretic formalization and quantification of different aspects of life, such as driving forces of learning and behavior generation, information flows between neurons, swarm members and social agents, and information theoretic aspects of evolution and adaptation and b.) the simulation and creation of life-like systems with previously identified principles and incentives.
Topics with relation to artificial and natural systems:
information theoretic intrinsic motivations
information theoretic quantification of behavior
information theoretic guidance of artificial evolution
information theoretic guidance of self-organization
information theoretic driving forces behind learning
information theoretic driving forces behind behavior
information theory in swarms
information theory in social behavior
information theory in evolution
information theory in the brain
information theory in system-environment distinction
information theory in the perception action loop
information theoretic definitions of life
Dr. Christoph Salge Dr. Georg Martius Dr. Keyan Ghazi-Zahedi Dr. Daniel Polani Guest Editors
Deadline for manuscript submissions: 28 February 2015
Now more than ever, experts say, postdoctoral fellows need to cultivate a broad base of beyond-the-bench skills and capitalize on transferring them to the next stage of their career to be as competitive as possible. In today’s competitive job market, it is vitally important for postdocs to accumulate skill sets on their CVs right alongside their publications—whether their next career move is research-based or not. Postdocs who repurpose their lab leadership and project management skills into star candidate qualities have an advantage when looking to step into their next position.
A new module on the Étoile Platform, by Jeffrey Johnson
Based on the course presented at the 4th Ph.D. summer School - conference on “Mathematical Modeling of Complex Systems”, Cultural Foundation “Kritiki Estia”, 14 – 25 July, 2014, Athens.
The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes.
This course marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This course makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application.
Complex Adaptive Systems Modeling welcomes submissions to the new thematic series on Modeling large-scale communication networks using complex networks and agent-based modeling techniques. This thematic series intends to publish high quality original research as well as review articles on case studies, models and methods for the modeling and simulation of large-scale computer communication networks using either of the following two approaches:
Complex networks (such as modeled using tools such as Gephi, Network Workbench and others)
Agent-based models (such as based on NetLogo, Repast, Mason, Swarm and others)
The National Autonomous University of Mexico (UNAM) has an open call for postdoctoral fellowships to start in 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. Interested candidates should send CV and a tentative project (1 paragraph) to cgg-at-unam.mx by Monday, June 30th (if starting in September 2014, otherwise in the coming months). Full application package should be ready by Friday, July 4th at noon, Mexico City time. Projects can be inspired from: http://turing.iimas.unam.mx/~cgg/projects.html , http://froese.wordpress.com/research/ and/or http://jmsiqueiros.org
Human Computation is an international and interdisciplinary forum for the electronic publication and print archiving of high-quality scholarly articles in all areas of human computation, which concerns the design or analysis of information processing systems in which humans participate as computational elements.
The journal Human Computation provides an international and interdisciplinary forum for the electronic publication of high-quality scholarly articles in all areas of human computation. There are no author fees and all published papers are freely available online.
Boston University’s Digital Learning Initiative, in conjunction with the Hariri Institute for Computing, are looking for a postdoctoral candidate to engage in innovative research in learning analytics, including, but not limited to, experiments and analyses related to Boston University’s MOOCs (Massive Open Online Courses). A doctorate in Information Systems, Computer Science or related field, with a specialization in Data Mining, Machine Learning, Statistics, or other related field, is required. Applicants are expected to have strong technical and communication skills, a passion for data analysis and, of course, interest, and ideally experience, in learning analytics and the impact of technology on education. The position will be for one year, renewable for a second (and possibly third) year, starting as soon as a suitable candidate becomes available.
Prof. Adilson E. Motter at Northwestern University has openings for Postdoctoral Research Associates in the broad area of complex networks. His group focuses on dynamical properties of network systems, including theoretical and computational aspects of synchronization phenomena, cascading failures, and control of network dynamics. The group is also interested in applications to biological, chemical, socio-technological, infrastructure, and physical systems, including metabolic networks, power grids, microfluidic networks, and metamaterials. Specific examples include the development of techniques to control nonlinear network dynamics, prediction of therapeutic targets, modeling of synchronization dynamics, mitigation of cascading failures, network-based design of new materials, and the design of self-healing networks.
The Human Brain and Behavior Laboratory (HBBL), Center for Complex Systems and Brain Sciences at Florida Atlantic University (FAU) invites applications for a Postdoctoral Position in Experimental and Computational Social Neuroscience.
The research program aims to advance our understanding of basic forms of real-time social behavior. This new NIMH-supported program employs a three-pronged approach that combines (1) experimental studies aimed at elucidating how neuromarkers are organized dynamically during the course of social interaction (2) the design and analysis of the Human Dynamic Clamp (reciprocal coupling between humans and mathematical models of a social partner) and (3) multiscale neurocomputational modeling of both structure and function.
The postdoctoral scientist will be highly motivated and able to work independently. He/she will also collaborate within an interdisciplinary team of researchers whose expertise spans Neuroscience, Psychology and Physics. The successful applicant will contribute to the design and conduct of neurobehavioral experiments and to theoretical modeling in which social interactions are treated as meaningfully coupled dynamical systems (Coordination Dynamics).
Candidates should have a PhD degree or equivalent. Experience or willingness to learn in one or more relevant domains will be considered an advantage:
- Theoretical modeling, dynamical systems
- Preparation and conduct of social, neurobehavioral and neurocognitive experiments
- Recording and analysis of brain activity and behavior (e.g. EEG, MEG, fMRI, etc)
- Digital signal processing and statistical analysis
- Programming (Matlab, C, visual basic),
- Excellent writing skills
The position will be for one year with a good possibility of extension depending on satisfactory progress. Salary will be commensurable with experience. Review of applications will begin immediately and continue until the position is filled. Qualified candidates should send a CV and arrange for 3 reference letters via email to: