This special session focuses on the network inspired approaches to analysis and integration of the massive data sets now prevalent in the life sciences. It introduces new approaches and solutions to the Big Data problem, and presents new techniques in the field of graph theory for handling and processing challenging large data sets. By discussing cutting-edge problems and techniques, the session offers researchers from a wide range of fields a unique opportunity to gain an insight on the status and perspectives of exploiting big heterogonous data in the life-sciences through concept of “Network of Networks”.
Satellite Workshop Tutorial: Molecular networks, the rise of networks of networks
Technology-mediated social collectives are taking an important role in the design of social structures. Yet our understanding of the complex mechanisms governing networks and collective behaviour is still deplorably shallow. Fundamental concepts of on- and off-line networks such as power, authority, leader-follower dynamics, consensus emergence, information sharing, conflict, and collaboration are still not well defined and investigated. These are all crucial to illuminate the advantages and pitfalls of collective decision-making, which can cancel out individual mistakes, but also spiral out of control.
CCS’15 Satellite Workshop Computational Social Science: Social Contagion, Collective Behaviour, and Networks.
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.
Challenges in Data Science International Conference July 8-11, 2016 Basilicata Italy
• Foundations of Complex Systems (complex networks, self-organization, nonlinear dynamics, statistical physics, mathematical modeling and simulation) • Information and Communication Technologies (Internet, WWW, search, semantic web) • Language, Linguistics, Cognition and Social Systems (evolution of language, social consensus, artificial intelligence, cognitive processes) • Economics and Finance (social networks, game theory, stock market and crises) • Infrastructure, Planning and Environment (critical infrastructures, urban planning, mobility, transport and energy) • Biological and (Bio)Medical Complexity (biological networks, systems biology, evolution, natural science, medicine and physiology) • Socio-Ecological Systems (global environmental change, green growth, sustainability and resilience) • Complexity in Physics and Chemistry
The International Workshop on Complex Networks and their Applications aims at bringing together researchers and practitioners from different science communities working on areas related to complex networks.
The 5th International Workshop on Complex Networks and their Applications November 30 - December 02 2016 Milan, Italy
Traditional engineered products are generally made of a number of unique, heterogeneous components assembled in complicated but precise ways, and are intended to work deterministically following specifications given by their designers. By contrast, self-organization in natural complex systems (physical, biological, ecological, social) often emerges from the repetition of agents obeying identical rules under stochastic dynamics. These systems produce relatively regular patterns (spots, stripes, waves, trails, clusters, hubs, etc.) that can be characterized by a small number of statistical variables. They are random and/or shaped by boundary conditions, but do not exhibit an intrinsic architecture like engineered products do. Two salient exceptions, however, strikingly demonstrate the possibility of combining pure self-organization and elaborate architectures: biological development (the self-assembly of myriads of cells into the body plans and appendages of organisms) and insect constructions (the stigmergic collaboration of colonies of social insects toward large and complicated nests). These structures are composed of segments and parts arranged in very specific ways that resemble the products of human inventiveness. Yet, they entirely self-assemble in a decentralized fashion, under the control of genetic or behavioral rules stored in every agent. How do these collectives (cells or insects) achieve such impressive morphogenetic tasks so reliably? Can we export their precise self-formation capabilities to engineered systems? What are principles and best practices for the design and engineering of such morphogenetic systems?
Morphogenetic Engineering Workshop, at the Artificial Life Conference 2016
These courses welcome registration by faculty, graduate students, post-doctoral fellows, professionals and others who would like to gain an understanding of the fundamentals of complex systems for application to research in their respective fields, or as a basis for pursuing complex systems research. The NECSI Summer School offers two intensive week-long courses which can be taken together or separately, one is not a prerequisite for the other. The 2nd week has been updated this year to include an introduction to data analytics, in addition to complex systems modeling and networks. The courses consist of lectures, discussions, and supervised group projects. If desired, arrangements for credit at a home institution may be made in advance. Information regarding room accommodations with local university housing will be provided to course registrants.
June 6-10: Complex Physical, Biological & Social Systems June 12: Computer Programming and Complex Systems June 13-17: Complex Systems Modeling, Networks, and Data Analytics Location: MIT, Cambridge, MA
Life is everywhere, connected and always in motion. Many diverse scientific fields thus have moving collective structures as a central object of study. This conference will bring together all those who observe, model and/or apply collective motion in their research. By connecting observational data with new modelling tools, network theory and exciting new advances in tracking and engineering, this meeting provides an opportunity for a deeper understanding of emergent structures of groups and the mechanisms behind them. This year the workshop will discuss the emergence of collective motion in cells, animals, humans and robots from both an experimental and a theoretical perspective. We hope that this will help promoting interdisciplinary research and the birth and exchange of new ideas.
Collective Motion 2016
Math, biology, physics and engineering come together June 8 - 10, 2016, Uppsala University, Sweden
The Conference “Digital Transformations & Global Society” will be held in June 23-24, 2016 as a part of the Joint Conference “Internet and Modern Society” (IMS-2016), which takes place in Saint - Petersburg annually since 1998 and brings together leading researchers and professionals in the field of Information Society issues.
Many of the grand challenges that society faces are concerned with understanding, managing and indeed creating complex living, lifelike or hybrid systems at multiple scales. Conventional approaches have often been unsuccessful in dealing with the inherent non-linearity, adaptability and self-organised behaviours of these systems. In fact the underlying technologies often transform the involved organizations and society as a whole. New paradigms are clearly required and we believe that the ALife community can play a key role.
The Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFEXV) Cancun, Mexico July 4th-8th. 2016
ISAL Special Session on ALife and Society Paper/ abstract submission deadline (final): February 29th, 2016
The new emcsr avantgarde will be the “talent” scout event in the field of Systems Science in Vienna from March 30th to April 1st, 2016. It will be the first pop up conference meeting in the field of Systems Science
The main aim of the satellite is to gather scholars belonging to different fields of complex systems under the interdisciplinary subject of evolutionary game theory. Evolutionary game theory (EGT) brings together evolutionary principles from biology with concepts of classical game theory. EGT does not need the assumption of rationality and it describes the dynamics and the evolution of the system.
EGT: from Biology to Social Systems Overidden in template.php to show just username. // submitted Satellite workshop at CCS 2016 Amsterdam. 20th of September, 2016
With advances of technology, mobile phones and other wearables have become ubiquitous. These devices can be used to collect data on momentary physical and mental state of individuals, and provide rich behavioral and health-related data. In addition, with more types of data being stored digitally, it is possible to combine data such as healthcare records, socioeconomic and genomics data with data collected from wearables. These multilayer datasets have the potential to elucidate human behavioral patterns, as well as their relation to health and well-being.
DATA-DRIVEN HEALTH & BEHAVIORAL PATTERNS Satellite Workshop of Conference on Complex Systems, 20 September 2016, Amsterdam
The pervasive access to information is empowering citizens to make more informed decisions (e.g., regarding their travel behavior, shopping, energy and other resources consumption habits, etc.), as well as leading to new forms of social relationships and to the introduction of new activities such as e-shopping and teleworking. At the same time, the penetration of ICT is turning individuals into passive and/or active ‘sensors’ that produce, exchange and consume an increasing amount of information, generating a variety of heterogeneous data on citizens’ preferences and behavior. As we move, shop, travel, etc., we leave e-footprints informing on our needs, choices and opinions. This feedback loop is modifying urban dynamics, as well as opening new opportunities for understanding such dynamics and developing new approaches to the design and management of urban systems. In recent years, research on the analysis of non-conventional data sources has begun to jump from academia to industry and public administration, and the interest in new data-driven applications and decision-making tools for infrastructure and strategic planning is growing every day both in private and public sectors.
UrbanNet 2016 21/09/2016 | Beurs van Berlage, Amsterdam
The 14th Experimental Chaos and Complexity Conference will be a forum that brings together an international interdisciplinary group involving physicists, engineers, mathematicians, chemists, biologists, and neuroscientists focused on various aspects of experimental Chaos and Complexity. This meeting will focus on experimental approaches at the intersection of physics, engineering, neuroscience, chemistry, and biology. A list of topics includes:Autonomous systems and robotics, Computational and collective intelligence, Earth sciences including climate changes, Energy, Fluid dynamics & turbulence, Information processing and communications, Optics and lasers, Behavioral and cognitive sciences, Data assimilation and applications such as finance, crime, Electronic circuits, Experimental complex networks, Geophysics and space sciences, Neurosciences and system biology and Quantum and wave chaos, Bose-Einstein condensates. Other fields within the general scope of the conference are welcome.
An intensive three-week course will give advanced students a “deep end” introduction to the problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines.
Brains, Minds and Machines Location: Marine Biological Laboratory, in Woods Hole, MA. Course Dates: Aug. 15 - Sept. 5, 2016 Directors: Gabriel Kreiman and Tomaso Poggio
The goal of Guided Self-Organization (GSO) is to leverage the strengths of self-organization (simplicity, parallelization, adaptability, robustness, scalability) 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.
The 8th International Workshop on Guided Self-Organization is a satellite Workshop at the The Fifteenth International Conference on the Synthesis and Simulation of Living Systems. ALIFE XV takes place in Cancun, Mexico, 4 to 8 July 2016.
You can now submit your abstracts to: https://easychair.org/conferences/?conf=ccs20160. You will be asked to stay within 300 words and identify the topics relevant to the conference main themes as list below. In addition, we ask you to select either: Paper: This is a 15-minute oral presentation with 5 minutes of Q&A. Ignite: This is a 3-minute oral presentation without Q&A. Poster: This gives you a more permanent exposure during the conference. The submission engine closes on 15 May 2016. We look forward to receiving your abstracts!
This conference provides a place to exchange recent developments, discoveries and progresses on Nonlinear Science and Complexity. The aims of the conference are to present the fundamental and frontier theories and techniques for modern science and technology, and to stimulate more research interest for exploration of nonlinear science and complexity. The conference will focus on fundamental theories and principles, analytical and symbolic approaches, computational techniques in nonlinear physical science and nonlinear mathematics.
6th International Conference on Nonlinear Science and Complexity
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