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
Unconventional Computation and Natural Computation Conference July 11-15 2016, Manchester. UK.
The 15th UCNC will take place in Manchester, UK; birthplace of the industrial revolution, home to Alan Turing and the first ever stored-program computer, and the driving force behind graphene. Our status as a thriving centre for excellence in science and technology has been recognised by Manchester’s selection as the European City of Science for 2016, and UCNC is proud to play a role in this celebration.
The GSSS provides an intensive two-week program on urban sustainability. This school is available for postdoctoral fellows, graduate students, scientists, policy makers, and business professionals. The school is for participants who seek background and hands-on experience to help them prepare to conduct interdisciplinary research in areas related to urban sustainability.
2016 2016 GLOBAL SUSTAINABILITY SUMMER SCHOOL ON URBAN SUSTAINABILITY July 25- August 5, 2016 - Santa Fe, New Mexico, USA
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
Satellite sessions will be held on DAY 2: Tuesday, September 20th and DAY 3: Wednesday, September 21st, 2016. A satellite session may be either a half-day or full-day session. Each satellite is organized and managed by its own committee, responsible for reviewing abstracts, scheduling talks and chairing sessions. The number of rooms available is limited. Therefore satellite organizers are encouraged to carefully examine the submission and review process below. Satellite organizers will be notified of acceptance of their proposal no later than April 20th. If your proposal is accepted, instructions on how to organize your satellite session will be mailed to you and posted on http://www.ccs2016.org/call-for-satellite-sessions.html
The fifth Para Limes complexity conference is about Silent Transformations. Silent transformations refer to processes that take place over long time spans, and that go mostly unnoticed until its effects become visible.
An uncountable number of such processes has been shaping and are shaping our universe, our world and our lives. Some of them we have recognized and are studying, like evolution, growing older or climate change. Others we are starting to recognize, like computation changing science, or IT transforming our lives. And still others we have no idea about. Some transformations have an almost timeless character and have nothing to do with humanity and its actions or concerns, like the unfolding of the universe or evolution. Others have a much shorter time line and are very much associated with human actions and concerns, like traffic becoming autonomous, or growing older. Still others are associated with human actions that fingerprint natural processes like climate change, environmental evolution and extinctions.
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