The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology, and related fields in order to further our understanding of the behaviours and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on experiments with well-defined models - robot models, computer simulation models, mathematical models - designed to help characterize and compare various organizational principles or architectures underlying adaptive behaviour in real animals and in synthetic agents, the animats.
SAB 2016: FROM ANIMALS TO ANIMATS 14
The 14th International Conference on the Simulation of Adaptive Behavior
The conference "Complex Networks: from theory to interdisciplinary applications" will take place on July 11-13, 2016 in Marseilles, France, as a satellite meeting to Statphys26 (July 18-22, Lyon, France).
The field of complex networks has enormously grown in the last 15 years, and has now become a clearly interdisciplinary field bringing together mathematicians, physicists, social scientists, epidemiologists, computer scientists, etc…
The conference will present the state of the art of the research in complex networks in various directions : from the most advanced theoretical approaches dealing with multiplex and temporal networks, to the applications of network theory in epidemiology, in computational social science and in studies of the brain.
Important dates: * Abstract/Paper submission deadline: October 30th, 2015 * Notification of acceptance: November 27th, 2015 * Submission of Camera-Ready (papers): December 11th 2015 * Early registration ends on: December 11th 2015
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.
Complex networks: theory, methods and applications Lake Como School of Advanced Studies
The first world e-conference organized by the UNESCO CSDC and UniTwin. For all scientists involved in the transdisciplinary challenges of complex systems, theoretical questions, experimental observations of multi-level dynamics.
Any scientist can participate for free along with other attendees within a local mini CS-DC’15 event with its real world room. Individual participation from any location with a simple connected laptop/tablet/mobile phone is only guaranted for speakers, organizers and, then, in the capacity limit of the videoconference system. Beyond, the e-conference will be broadcast without the possibility to interact with the e-session chairs. You can host a mini-CS-DC’15 event in a Real World Room (RWR) RWRs allow CS-DC participants to meet and share scientific discussions together.
We are very excited to bring to the world the first full online YRNCS satellite on Complex Systems as part of CS-DC (http://cs-dc-15.org/ ) on the 30st September and 1st October. The format is quite simple, at submission you give your time zone and availabilities, then an evolutionary algorithm will produce an optimal program that takes care of everyone’s schedule. Contributions from all subjects are welcome! Following the philosophy of YRNCS, we encourage submission from young researchers that are willing to share their enthusiasm with the world (literally). Moreover, given the format and aim of the e-satellite, we accept submission from all horizons, and expect the e-talks to be aimed at a broad, non-specialist audience. The only constraint is time: 12+3 min. Spread the word about your research, meet other like minded young researchers from all over the world and build new collaborations, all this for FREE and from the comfort of your office/home/beach wherever you are! We are awaiting your submissions!
*2nd Third Infinity conference, 14th - 16th of October 2015, Goettingen, Germany - Call for Abstracts - deadline 14th August 2015*
A conference organized by the PhD students of the International Max Planck Research School for Physics of Biological and Complex Systems. This conference aims to bring together young researchers and leading scientists working on complex systems from the three fundamental perspectives: theory, experiments and simulations.
The increasing availability of large-scale datasets that capture major activities in science—publications, patents, citations, grant proposals, as well as detailed meta-data associated with them—has created an unprecedented opportunity to explore in a quantitative manner the patterns of scientific production and reward. In contrast with standard bibliometric studies, the recent surge in quantitative studies of science is characterized by a few distinct flavors: (i) They typically rely on large-scale datasets to study science, ranging from hundreds of thousands to millions of authors, papers and their citations; (ii) Instead of evaluating metrics, they use models to more deeply probe the mechanisms driving science, from knowledge production to scientific impact, systematically distinguishing predictable from random patterns; (iii) More quantitative studies of science no longer hold the unique goal of evaluating and improving the system of science. Rather, researchers from a wide range of disciplines have begun to use science as an observatory to probe social phenomena that are more universal and widely applicable than the institutions of science themselves. As such, the tools and perspectives vary, involving social scientists, information and computer scientists, economists, physicists and mathematicians, with results published in venues with non-overlapping readership.
The goal of this satellite is to bring together leading researchers from various disciplines and form discussions on the proliferating subject of quantifying science. We specifically look for contributions that satisfy one or more of the aforementioned flavors.
Social change is intricately linked to technological progress, which is intricately linked to scientific understanding, which again influences how we interpret the world around us. For example, the co-formulator of the theory of evolution, A.R. Wallace, proposed natural selection as a kind of feedback mechanism which “is exactly like that of the centrifugal governor of the steam engine”. Currently, information and communication technologies transform our lives. And once again, the emerging theories have an important influence on the way we interpret the world around us. It is not surprising to hear laypeople and scientists alike suggesting that “evolution computes”, “the economy processes information”, “code is law”, “ecosystems are communication networks”, and “culture executes algorithms”. This Session explores formal advancements in the application of information sciences to social and biological systems. We call for papers that explore the explicit application of theories, concepts, and mathematical tools developed in fields like information theory and computer science to all branches of ecological and social systems, including evolutionary ecology, economics, sociology, communication, political science, anthropology, and social psychology.
The Complex Systems Summer School offers an intensive four week introduction to complex behavior in mathematical, physical, living, and social systems for graduate students and postdoctoral fellows in the sciences and social sciences. The school is for participants who seek background and hands-on experience to help them prepare to conduct interdisciplinary research in areas related to complex systems. The program consists of an intensive series of lectures, laboratories, and discussion sessions focusing on foundational ideas, tools, and current topics in complex systems research. These include nonlinear dynamics and pattern formation, scaling theory, information theory and computation theory, adaptation and evolution, network structure and dynamics, adaptive computation techniques, computer modeling tools and specific applications of these core topics to various disciplines. In addition, participants will formulate and carry out team projects related to topics covered in the program.
The Winter Workshop on Complex Systems (WWCS2016) is an intensive, research driven one week workshop for early stage researchers. The main aim of the workshop is to foster scientific collaborations about cutting-edge complexity science challenges in a friendly environment. The workshop is going to be hosted at Universidad Carlos III de Madrid, Spain.
WWCS 2016, 25 – 29 January 2016, Universidad Carlos III de Madrid, Spain
We will consider a diverse range of systems, applications, theoretical and practical approaches to computational modelling of modern complex systems such as health, including information theory, agent-based simulation, network theory, nonlinear dynamics, swarm intelligence, evolutionary methods, computational neuroscience, and econophysics, among others.
When: 9am - 5pm, 30 November - 4 December Where: Charles Perkins Centre Seminar Rooms, The University of Sydney Cost:FEE WAIVERS We have an opportunity to provide a number of fee waivers for the Camp. If you are interested in applying for a waiver please email email@example.com
The workshop is aimed at discussing a few chosen contemporary developments in statistical physics. Topics include problems in condensed matter and dynamical systems (pattern structures, granular matter, glass formation, turbulence, marginal chaos, etc.); and also current applications outside of traditional fields in physics (in biology, ecology, sociology, economy, seismology and other geophysical, astrophysical phenomena, complexity in urban developments, complexity in linguistics, literature and arts, etc.). There would be an examination of equilibrium and nonequilibrium theories, and of the current efforts in generalizing statistical mechanical structures and methods. We would like to emphasize that our aim is to make the meeting the occasion for a memorable scientific discussion that can be carried out comfortably in an intimate environment.
International Workshop on Nonlinearity, Nonequilibrium and Complexity: Questions and perspectives in Statistical Physics. This is an event in honor of Prof. Alberto Robledo's 70th birthday.
The Network Frontier Workshop 2015 is a two-day event at Northwestern University highlighting current research on network dynamics. Presentations will emphasize physical principles underlying control and collective behavior in networks of dynamical systems, as well as network problems in biological, ecological, social, and physical systems. The workshop will include invited talks, a selection of contributed talks, and poster presentations.
Important dates & deadlines: Application & abstracts submission: September 25, 2015 Acceptance: October 7, 2015 Registration: November 6, 2015 Workshop: December 6-7, 2015
The Annual Complexity in Business Conference endeavors to be the premier meeting for the intersection of Complex Systems and Business. The 7th 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, November 12, 2015 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.
7th Annual Complexity in Business Conference
Thursday and Friday, November 12 and 13, 2015
Ronald Reagan Building and International Trade Center
Data Science is a key ingredient for understanding the increasingly complex social, economic & technological systems. Number and size of the relevant datasets is growing and becoming increasingly heterogeneous. Financial systems, map and mobility data, urban space usage, human behavior and infrastructure are increasingly linked to each other to provide services to each single user of the global community worldwide. Data and platform access can add clues to solve a number of issues, in order to achieve efficient interoperability and performances. However, data access may imply a number of risks, intrinsically related to the individual privacy and social security.
The main objective of the meeting is the exploration of the multiple methodological intersections that have been devised in the diverse areas to provide insights regarding e.g. acquisition and analysis of complex networks, resilience and vulnerability, cybersecurity and privacy. Data Science & Complex Systems Science can borrow new ideas and techniques from each other contributing to the synergetic comprehension of both disciplines. Complex Systems Science is mainly expected to contribute a new paradigms for representing and extracting information about structures and dynamics characterized by interacting elements, thus providing new clues in classical data mining tasks like classification or regression. Ultimate aim of the meeting is to discuss current understanding and devise further applications of data science in mapping complex networks evolution and interaction.
Physics and chemistry have arrived at a deep understanding of the non-living world. Can we expect to reach similar insights, integrating concepts and quantitative explanation, in biology? Life at its origin should be particularly amenable to discovery of scientific laws governing biology, since it marks the point of departure from a predictable physical/chemical world to the novel and history-dependent living world. The origin of life problem is difficult because even the simplest living cell is highly evolved from the first steps toward life, of which little direct evidence remains. The conference aims to explore ways to build a deeper understanding of the nature of biology, by modeling the origins of life on a sufficiently abstract level, starting from prebiotic conditions on Earth and possibly on other planets. The conference will examine the origin of life as part of a larger concern with the origins of organization, including major transitions in the living state and structure formation in complex systems science.
Nov. 9-13th, 2015 at Carnegie Institution of Washington, Washington D.C.
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