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.
LOEWE-NeFF and the Frankfurt Institute for Advanced Studies (FIAS) jointly invite you to a “Workshop on Neural Information Dynamics, Causality and Computation near Criticality” December 12-13th, 2014
The workshop is preceded by a “Software course on Neural Information Dynamics with TRENTOOL, the Java Information Dynamics Toolkit and MuTE” December 10-11th, 2014.
Venue: Workshop and student course will be held at the Frankfurt Institute for Advanced Studies (FIAS, www.fias.uni-frankfurt.de), Ruth-Moufang-Straße 1, 60438 Frankfurt, Germany.
The workshop addresses the analysis of neural computation in large neural systems and covers three tightly related topics in the field of modern analysis of neural data:
- Neural information dynamics
- Large scale organisation and criticality
The supporting software course addresses young scientists who intend to apply information theoretic measures for neuroscience hands on, and that would like to contribute code to one of the open source toolboxes on the topic.
For millennia people have wondered what makes the living different from the non-living. Beginning in the mid-1980s, artificial life has studied living systems using a synthetic approach: build life in order to understand it better, be it by means of software, hardware, or wetware. This review provides a summary of the advances that led to the development of artificial life, its current research topics, and open problems and opportunities. We classify artificial life research into fourteen themes: origins of life, autonomy, self-organization, adaptation (including evolution, development, and learning), ecology, artificial societies, behavior, computational biology, artificial chemistries, information, living technology, art, and philosophy. Being interdisciplinary, artificial life seems to be losing its boundaries and merging with other fields.
COMPACT brings together scholars wishing to engage with the fundamental challenges of developing complexity-based theories, methods and practice in public administration and policy development. Previous conferences and the collaborations that arose from these resulted in a range of journal articles, special issues, books and research collaborations and projects. COMPACT III will build on these contributions in the forthcoming conference by expanding the range of perspectives from which our deliberations draw and focusing on how the theories, methods and practices are applied in specific public administration contexts. As in the past, the proceedings will be published in book form and we anticipate that selected papers will also be included in one or more special issues of the new journal, Complex Governance Networks.
Complexity, Governance and Networks conference (COMPACT III) to be held in Dublin, Ireland, in June 2015.
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. 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 and transfer 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.
Satellite meeting: September 24, 2014 at ECCS'14, Lucca, Italy.
Program and speakers listed at the satellite website.
The 1st International Electronic Conference on Entropy and its Applications will be held from 3–21 November 2014 in the internet environment. The objective of this event is to bring scientists and engineers working in the field onto a common platform where they can present and discuss their recent contributions without the need to travel.
As this meeting will not require physical presence in any particular location, we are expecting a large attendance from all over the world.
Contributions from both theoretical and applied perspectives of entropy will be covered. Submissions focusing on conceptual and methodological developments, as well as new applications of entropy and information theory will be covered. Some of the main topics of interest, also shared with those of the Entropy Journal, are: Physics and Engineering, Information Theory, Complex Systems, Chemistry and Biology, Machine Learning and Systems Theory.
Accepted papers will be published in the proceedings of the conference, and selected papers will be considered for publication in Entropy, which is an open access publication of MDPI in the field (http://www.mdpi.com/journal/entropy).
The 1st International Electronic Conference on Entropy and Its Applications will be held at www.sciforum.net/conference/ecea-1, on a platform developed by MDPI to organize electronic conferences.
1st International Electronic Conference on Entropy and its Applications Abstract Submission: 12 September 2014 Notification of Acceptance: 26 September 2014 Full Paper Submission: 10 October 2014 http://www.sciforum.net/conference/ecea-1/
The NetSci-X is the first Network Science Conference outside the USA-Europe axis. It will bring together leading researchers and practitioners working in the emerging area of network science. The conference fosters interdisciplinary communication and collaboration, with focus on novel directions in network research within the biological and environmental sciences, computer and information sciences, social sciences, finance and business, among others. The NetSci-X Conference will be held in January 2015 in Rio de Janeiro, Brazil, at the Getulio Vargas Foundation—one of the main Think Tanks in the world and leading educational and research institution in Brazil.
Artificial life (AL) refers to models and simulations of living systems, as they appear in nature as well as to possible alternative life forms and concepts that may not have occurred in natural evolution. Computational Intelligence (CI) developed from the traditional fields of artificial intelligence into various areas of nature inspired computing and optimisation. It is often referred to as an umbrella for the areas of evolutionary computation, artificial neural networks, fuzzy systems and other learning systems. While AL attempts to understand nature through modelling and simulation, CI attempts to translate this understanding into algorithms for learning and optimisation.
ACALCI features international research in AL and CI and aims at becoming an exciting forum for innovative, emerging, cross-disciplinary and sometimes exotic ideas associated with the computational and algorithmic concepts underlying living and intelligent systems. The focus is on software-based and agent-based forms of artificial life but may also include computational aspects of synthetic life. Artificial life concepts can occur on sub-cellular, cellular, cell assembly/network, organism, or society levels.
Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015)
February 5-7, 2015
The University of Newcastle Conservatorium of Music, Newcastle, Australia
Information theory and entropy methods are becoming powerful tools in biology, from the level of individual cells, to whole ecosystems, to experimental design, model-building, and the measurement of biodiversity. The aim of this investigative workshop is to synthesize different ways of applying these concepts to help systematize and unify work in biological systems. Early attempts at "grand syntheses" often misfired, but applications of information theory and entropy to specific highly focused topics in biology have been increasingly successful. In ecology, entropy maximization methods have proven successful in predicting the distribution and abundance of species. Entropy is also widely used as a measure of biodiversity. Work on the role of information in game theory has shed new light on evolution. As a population evolves, it can be seen as gaining information about its environment. The principle of maximum entropy production has emerged as a fascinating yet controversial approach to predicting the behavior of biological systems, from individual organisms to whole ecosystems. This investigative workshop will bring together top researchers from these diverse fields to share insights and methods and address some long-standing conceptual problems.
NIMBioS Investigative Workshop Information and Entropy Topic: Information and entropy in biological systems Meeting dates: April 8-10, 2015 Location: NIMBioS at the University of Tennessee, Knoxville Organizers: • John Baez, Mathematics, Univ. of California, Riverside • Marc Harper, Educational and biotechnology consultant • John Harte, Environmental Science, Policy and Management, Univ. of California, Berkeley
Following last years successful edition, we have once more decided to organize a summer school coinciding with the European Conference on Complex Systems thus profiting the opportunity offered by the presence of a wide variety of experts in different topics in Lucca. The projected school aims to offer young researchers the opportunity to learn new methods, present their work and meet fellow researchers, and it also represents a good opportunity for young researcher to prepare their participation to the main ECCS conference in an informal and relaxed environment. Following our policy to display local talent, three renowned italian researchers will each present a different aspect of complex networks in three hour sessions. Names such as Dr. Roberta Sinatra, Dr. Ciro Catutto and Prof. Stefano Battiston should sound familiar to any interested student. Furthermore, we plan a meeting where each participant will have the possibility to share with the others his work, organized as a flash presentation workshop. Of course, a major social event is also included, to stimulate networking and “prepare” the official ECCS conference.
Chemical Complexity & Biology STRASBOURG 2015-01-19:20
This meeting is about the exploration of the complex systems observed in biology at the molecular level. The purpose of the meeting is to show that life is a complex phenomenon indeed and explore the theoretical and molecular aspects of this complexity. This will be addressed in two aspects : - with studies on how molecules (proteins, nucleic acids, metabolites, ...) interact in a complex interaction network and how the structural and spatial organization of the interactants may control the kinetic and thermodynamic aspects of these interactions. - with examples of the large complex biophysics measurements typically found in the study of real biological problems and how to model and handle them. There are a lot of convergence on these aspects between supramolecular chemistry and biochemistry, on measure and big-data, on modeling and mathematical analysis etc. The purpose of the meeting is to invite scientists from various fields in order to have a rich and fruitful discussion on these topics, and to show to the communities of biologists, chemists and analysts, the links which exist between all these approaches.
Summer School, Vienna, July 6-17 2015 (univie: summer schools (USS-SWC))
The Computational Turn. Simulation in Science
Rainer Hegselmann (University of Bayreuth) Paul Humphreys (University of Virginia) Margaret Morrison (University of Toronto)
Computational methods now play a central role in many areas of science and engineering ranging from astrophysics through the social sciences to the design and production of artifacts. Computational chemistry, computational biology, computational neuroscience, artificial life, artificial markets - the list is long and growing. Although not everything about these methods is revolutionary, they have nonetheless had a revolutionary impact of many aspects of our lives, from the way we design aircraft to trading in financial markets. Consequently they require us to rethink central topics in the philosophy and sociology of science and technology, such as the limits of human knowledge, the distribution of expertise in research teams, whether these methods are truly cross-disciplinary and if so what conclusions should we draw from that, and the relation between simulations and experiments. In a number of areas, such as complex micro-economic systems as well as high energy physics, the methods hold out the promise of greatly expanding the scope of what can be studied. Some emphasis will be given to the history of these methods and their origins in specific disciplines but special attention will be paid to the current use and future development of computational science including the role of massive data sets, the challenges of transparency, differences in modeling techniques between the natural and social sciences, and the relation between technological and scientific advances. The program is designed to appeal to scholars from a broad range of disciplines, and some sessions will be led by more than one lecturer to take advantage of their different but overlapping areas of expertise.
Computational approaches in natural and social sciences Simulations and models: exploration, explanation and prediction Computational models versus experimentation Idealization and representation Model validation and verification Micro foundations in natural and social sciences Social epistemology and network analysis History of the computational turn Challenges: replication, transparency Data Epistemological consequences of the computational turn
As an international interdisciplinary program, USS-SWC will bring graduate students in close contact with world-renowned scholars. It will operate under the academic supervision of an International Program Committee of distinguished philosophers, historians, and scientists. The program is directed primarily to graduate students and junior researchers in fields related to the annual topic, but the organizers also encourage applications from gifted undergraduates and from people in all stages of their career who wish to broaden their horizon through cross-disciplinary foundational issues in science.
The objective of this symposium is to develop new technologies for artificial life and robotics and their applications in various fields listed in the Topics. Authors are invited to submit papers presenting original research and to discuss development of new technologies concerning artificial life and robotics based on computer simulations and hardware designs of state-of-the-art technologies.
Important dates: Deadline for Abstract Submission Sep 16 Notification of Acceptance Oct 1 Deadline for Early Registration Nov 4 Deadline for Final Camera-Ready Papers Nov 14
Thursday and Friday, October 30 and 31, 2014 Ronald Reagan Building, Washington, DC The Annual Complexity in Business Conference endeavors to be the premier meeting for the intersection of Complex Systems and Business. The 6th annual conference will be a one and a half day event and will include talks by thought leaders and an audience blend of academics and industry practitioners. We are very excited to announce that this year we will be having a concurrent track during the conference and will be accepting abstract submissions from the public. We are looking forward to a lively set of interactions among a very distinguished group of researchers and business leaders. On Thursday, October 30, 2014 at 3 p.m. a series of talks at the Ronald Reagan Building will kick off the conference, followed by a cocktail reception and dinner at Oyamel Cocina Mexicana. This event is sponsored by the Center for Complexity in Business at the Robert H. Smith School of Business and the University of Maryland.
The workshop will bring together researchers from a richly diverse background who share interest in understanding and designing self-organising systems. Of particular interest are well-founded, but general methods for characterizing such systems in a principled way with the view of ultimately allowing them to be guided toward prespecified goals. Information theory, nonlinear dynamics and graph theory are core to many of these methods, and quantifying complexity and its sources is a common theme.
This year, the workshop is organised in collaboration with the BrainLinks-BrainTools cluster of excellence at University of Freiburg ( https://www.brainlinks-braintools.uni-freiburg.de/ ), and one focus theme will be guided self-organisation in neural systems.
Seventh International Workshop on Guided Self-Organisation (GSO-2014) to be held from December 16-18, 2014 in Freiburg, Germany.
The satellite aims to bring together leading researchers to discuss the latest advancements in the area of complexity of living systems, and to considering how to solve identified problems or identifying future research directions.
The thirteenth Mathematics of Networks meeting will take place on 10th September 2014 at Imperial College in London. The meeting is free to present and to attend. It is now accepting abstracts for potential talks. The deadline for abstracts is 1st August. The theme of this MoN is networks in the humanities, including research on spatial and temporal networks. As always, talks on any topic will be considered but talks related to the theme will be given preference. Our hosts this year are the Centre for Complexity science. Thanks to Tim Evans for acting as local organiser.
This MoN is being organised to coincide with The Connected Past. TCP is a one-and-a-half-day multi-disciplinary meeting to explore how concepts and techniques from network- and complexity science can be used to study archaeological data. It will be held on 8th and 9th September at Imperial college.