Networks are ubiquitous and the scientific discipline of network science has flourished in the last decade. As a means to study complex interactions, two particular application areas are social and information science. On the one hand side, the www as a pool of hyper-linked information can be represented with the help of networks (and this representation is the basis for google’s Page-rank algorithm), on the other hand side services like facebook, twitter or flickr provide the means for people to establish social networks of never-seen size – and hence provide the basis for what is now called computational sociology.
The scope of this this summer school is to provide PhD students and early PostDocs with a comprehensive 1-week insight into the “power of networks” in an information science and social media setting. In Six to nine lectures, established and well-known researchers (from Europe, US and Asia) will present cutting-edge research as well as provide the participants with valuable insight into challenges and methods.
The Summer School will take place from 10th to 15th June in Höllviken (south of Sweden, 1h by train from Copenhagen, Denmark), right after NetSci 2013.
The objective of the 10th congress of the European Union for Systemics (EUS) is to develop a systemic representation of the processes inherent to crises during interdisciplinary meetings, combined with a trans-disciplinary vision. This systemic representation will provide theoretic, methodological and practical tools applicable to specific cases of systems in crisis. All these resources will help the agent taking relevant actions for the benefit of a society willing to reach a high level of sustainability for future generations.
A SYSTEMIC VISION OF THE CRISES From optimization to change strategy? 10th congress of the European Union for Systemics (UES2018) 15-16-17/10/2018, Brussels, Belgium
The small conference “Modelling complex urban environments,” will be held June 21-22 at the University of Waterloo and is sponsored by the Waterloo Institute for Complexity and Innovation and the University of Waterloo International Research Partnership Development Grant program. Urban scholars have approached urban complexity using a variety of modelling tools, from descriptive models, atomistic discrete simulation models, systems dynamics models, and most recently, inductive analysis of new sources of "big" data. This conference aims to bring together these scholar groups to examine current issues in urban complexity from a multi- lens perspective. Initial identified themes and potential additional themes are identified in the Call for Papers, available at https://uwaterloo.ca/complexity- innovation/events/wici-conference-modelling-complex-urban-environments. Proposals for additional themes, organized sessions, and hands-on activities are welcome. Keynote speakers include: • Geoffrey West, Santa Fe Institute
• Saskia Sassen, Columbia University • Alex Anas, University of Buffalo
The VIII Summer School on Statistical Physics of Complex Systems promoted by the Topical Group on Statistical and Nonlinear Physics (GEFENOL) of the Spanish Physical Society. The School follows the previous successful editions which took place in Palma de Mallorca (2011, 2013, 2014, 2017), Benasque (2012), Barcelona (2015) and Pamplona (2016).
The school, oriented to Master and PhD students and young postdocs worldwide will take place at IFISC (CSIC-UIB) in Palma de Mallorca, Spain, on July 2-13, 2018 and will include six courses:
* Stochastic delay systems, by Tobias Galla, The University of Manchester. * Bayesian inference in complex networks, by Marta Sales-Pardo, Universitat Rovira i Virgili. * Deep learning from a statistical physics perspective, by Raúl Vicente, Univerty of Tartu * Spreading phenomena in networks, by Claudio Castellano, Istituto dei Sistemi Complessi (ISC-CNR). * Geometric frustration in soft matter systems, by Pietro Tierno, Universitat de Barcelona. * Transport in nanosystems, by David Sánchez, IFISC (CSIC-UIB).
The International Conference on Complex Networks and their Applications aims at bringing together researchers from different scientific communities working on areas related to complex networks.
Two types of contributions are welcome: theoretical developments arising from practical problems, and case studies where methodologies are applied. Both contributions are aimed at stimulating the interaction between theoreticians and practitioners.
The 7th International Conference on Complex Networks and Their Applications December 11 - 13, 2018 Cambridge, United Kingdom
The workshop Complexity72h is an interdisciplinary event whose aim is to bring together young researchers from different fields of complex systems. Inspired by the 72h Hours of Science, participants will form working groups aimed at carrying out a project in a three-day time, i.e. 72 hours. Each group's goal is to upload on the arXiv a report of their work by the end of the event. A team of tutors will propose the projects, and assist and guide each group in developing their project. Alongside teamwork, participants will attend lectures from scientists coming from different fields of complex systems, and applied workshops.
The International Conference on Complex Systems is a unique interdisciplinary forum that unifies and bridges the traditional domains of science and a multitude of real world systems. Participants will contribute and be exposed to mind expanding concepts and methods from across the diverse field of complex systems science. The conference will be held July 22-27, 2018, in Cambridge, MA, USA.
Special Topic - Artificial Intelligence: This year’s conference will include a day on AI, including its development and potential future. This session will be chaired by Iyad Rahwan of MIT's Media Lab.
Workshop proposal & Abstract submission deadlines: February 16, 2018
In the last decade, network theory has been revealed to be a perfect instrument to model the structure of complex systems and the dynamical process they are involved into. The wide variety of applications to social sciences, technological networks, biology, transportation and economic, to cite just only some of them, showed that network theory is suitable to provide new insights into many problems. Given the success of the Fourth Edition in 2017 of the Mediterranean School of Complex Networks, we call for applications to the Fifth Edition in 2018.
Living systems are characterized by the emergence of recurrent dynamical patterns at all scales of magnitude. Self-organized behaviors are observed both in large communities of microscopic components - like neural oscillations and gene network activity - as well as on larger levels - as predator-prey equilibria to name a few. Such regularities are deemed to be universal in the sense they are due to common mechanisms, independent of the details of the system. This belief justifies investigation through quantitative models able to grasp key features while disregarding inessential complications. The attempt of modeling such complex systems leads naturally to consider large families of microscopic identical units. Complexity and self-organization then arise on a macroscopic scale from the dynamics of these minimal components that evolve coupled by interaction terms. Within this scenario, probability theory and statistical mechanics come into play very soon. Aim of the workshop is to bring together scientists with different background - biology, physics and mathematics - interested in stochastic models in ecology and evolutionary biology, to discuss issues and exchange ideas. A partial list of topics includes: stochastic population dynamics, branching processes, interacting particle systems and statistical mechanics models in ecology, robustness and adaptability of ecosystems, resilience and criticality of ecological systems, models and prediction of biodiversity, molecular evolution, and neuroscience. The style of the workshop will be rather informal. The idea is to have the opportunity to freely share ideas and discuss. Talks will be organised in different thematic sessions, and we will have both colloquia and more technical presentations.
CAPS 2018 is the second International Conference on Complexity and Policy Studies. This is a cross-disciplinary conference for research in which the tools of Complex Systems are used to examine a wide range of policies and procedures that promote, emphasize, contribute to, improve, or otherwise positively affect society. This scope includes new definitions, measures, and methodologies for tracking, understanding, and predicting impacts and trends, data sets, analytical methods, actors and populations, dynamic models, or social-level analysis.
CAPS 2018: Complexity And Policy Studies George Mason University – Arlington, VA Campus, USA April 18 – 20, 2018
Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. ANTS 2018 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.
ANTS 2018 Eleventh International Conference on Swarm Intelligence October 29-31, 2018. Rome, Italy
The purpose of the meeting is to bring together the national community of physicists working on statistical physics and related areas, in order to exchange knowledge, results and discuss new lines of research. We also invite a group of internationally-well known scientists who have made fundamental contributions in their respective fields. This provides the opportunity to exchange ideas between national and foreign colleagues in a pleasant, inclusive and informal environment.
The main program consists of plenary lectures given by selected invited speakers who present, in a non-technical way the "state of the art" in their fields of study, as well as their main contributions to the field. We invite students and postdocs to submit abstracts by December 5th to be considered in the poster session.
The XLVII Winter Meeting on Statistical Physics will take place in the city of Puebla, Puebla, México
There will be three focusing questions for the Symposium:
What is “Complexity Science”? How is Complexity Science integrated into various disciplines? How does Complexity Science affect how we solve scientific, social, or philosophical problems? All proceedings of the Symposium will be professionally video recorded and uploaded to our Youtube account, https://www.youtube.com/user/StanfordComplexity
University of Crete (UoC), Greece, Foundation for Research and Technology (FORTH), Greece, University of Amsterdam (UvA), the Netherlands and Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University), Russian Federation, announce 2018 International Young Scientists Conference for young researchers and professionals in HPC technologies and computer modeling to take place at University of Crete, Heraklion, Greece.
The Conference aims to strengthen the ties between young scientists in different countries, thus promoting future collaboration in the framework of Computational Science and major application aspects of High Performance Computing, Computer Modeling and Simulation to tackle a wide range of issues in science, industry and business.
Simulation and systems thinking is one way to explain the complex world in which we live. By collecting data and creating computer models, scientists can make predictions on critical problems, such as how to influence the flow of traffic, how an epidemic will spread or the probability of individuals in society becoming addicted to drugs. The conference will cover the aspects related to HPC, BigData, large scale simulation of complex systems and offers an ideal range of topics for final year Master’s student or starting PhD students interested in this domain.
7th International Young Scientists Conference in Computational Science 2 – 6 July, 2018, Heraklion, Greece
The basis of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines – is arguably the greatest problem in science and technology. To solve it, we will need to understand how human intelligence emerges from computations in neural circuits, with rigor sufficient to reproduce similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter. Today’s AI technologies, such as Watson and Siri, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines. The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science and will lead the development of true biologically inspired AI.
Brains, Minds and Machines Directors: Gabriel Kreiman, Children’s Hospital, Harvard Medical School; Boris Katz, Massachusetts Institute of Technology; and Tomaso Poggio, Massachusetts Institute of Technology Location: Marine Biological Laboratory, in Woods Hole, MA. Course Dates: Aug. 9th – Aug. 30th, 2018 Application deadline: April 9, 2018
Network science is having a huge impact in various aspects of health-related research. The advent of more comprehensive personalized data has fostered the emergence of precision medicine: an approach that considers individual genetic and physiological characteristics, lifestyle and environment in devising personalized therapies. Such an approach benefits greatly from big data and network approaches at multiple levels. First, integrating different molecular “interactomic” datasets from a single patient, from subcellular to organ-level, is a fundamental step towards understanding the mechanistic underpinnings of personalized health states. Moreover, there has been a continued improvement in the availability of health-related data, such as electronic health records detailing patient histories and providing accurate diseases statistics.
Network Medicine '18 Personalized Medicine in the Era of Big Data
This special session aims to promote and expand Morphogenetic Engineering, a field of research exploring the artificial design and implementation of autonomous systems capable of developing complex, heterogeneous morphologies. Particular emphasis is set on the programmability and computing abilities of self-organization, properties that are often underappreciated in complex systems science—while, conversely, the benefits of self-organization are often underappreciated in engineering methodologies.
8th MEW at ALife 2018 Morphogenetic Engineering (Workshop) Special Session, at the 2018 Conference on Artificial Life July 23-27, 2018 National Museum of Emerging Science and Innovation, Odaiba, Tokyo, Japan
The effect of ecological network structure on the dynamics, stability, and, ultimately, diversity of ecological communities has been the center of an ongoing debate in the past 45 years. Several authors hypothesized that the observed departures from random structure observed in ecological networks are therefore "adaptive". Indeed, a common hypothesis is that biological network structure is influenced by evolution, coevolution and/or adaptation: structures yielding unfavorable dynamics would be eliminated from the space of possible networks, so that in nature we would tend to observe structures that have withstood the test of time. An alternative view is the "network spandrel" hypothesis - a nod to the famous critique of the adaptionist programme by Gould and Lewontin: deviations from randomness in biological networks are the by-product of the network assembly process, and are therefore non-adaptive. While the implications of network structure for community/population dynamics are well studied, we know very little regarding the effect of dynamics on the structure of networks. The goal of this satellite is to explore how these two alternative processes contribute to the structure of biological networks and to explore whether, and how, they can be disentangled. This debate is crucial for our understanding of network assembly in particular and for understanding processes of network optimization in nature in general. The satellite we are proposing will not only spark a new debate in biology, but is also highly relevant for other disciplines because understanding the relationship between structure and dynamics is a cornerstone of every complex adaptive system.
Over recent years it has become clear in various sciences that many natural systems perform computations. Research into the properties of these natural computers remains fragmented along disciplinary boundaries between computer science, physics, engineering and biology. The objective of this meeting is to overcome the fragmentation by bringing together researchers from different fields to discuss their latest finding on natural computation.
Computation by natural systems
Theo Murphy scientific meeting organised by Dr Dominique Chu, Professor Christian Ray and Professor Mikhail Prokopenko.
March 21-22, 2018
Kavli Royal Society Centre, Chicheley Hall, Newport Pagnell, Buckinghamshire, MK16 9JJ
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 including robot models, computer simulation models and mathematical models designed to help characterise and compare various organisational principles or architectures underlying adaptive behaviour in real animals and in synthetic agents, the animats.
CALL FOR PAPERS The 2018 Conference on Artificial Life (ALIFE 2018)
A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALife)
BEYOND A.I. The “ALIFE 2018” conference will be a stimulating home for a rich and diverse research community in Artificial Life and related fields from around the world, with a special emphasis on encouraging communication and building bridges between the different research threads that make Artificial Life such an exciting field. Following in the tradition of recent artificial life conferences, the meeting will also have an overall theme that reflects the global nature of the first joint conference: Beyond AI. We believe that AI is just a side effect of ALIFE and we believe that this conference is going to be a turning point for both ALIFE and AI researchers.
We are inviting especially contributions to solve new challenges in ALife. Since the first ALife conference in 1987, the computational landscape has been completely reshaped in terms of scale, means, capacity, and spheres of application in our society. The use of massive real-world data has now the potential to offer an important new avenue for ALife, to help us understand the nature of living systems by understanding bridges between simple idealized models and complex data-rich phenomena? An epistemology for a modern artificial life that can operate at scale and in partnership with data, but without sacrificing the complexity of the systems that we observe, has yet to be achieved.
Submissions are welcome on all topics. By widening the focus of artificial life, the field can avoid conventional approaches and be a source of radically new concepts, methods, models, and technologies.
We are honoured to welcome keynote speakers who include:
Rodney Brooks (iRobot, MIT, USA) Inman Harvey (University of Sussex, UK) Hiroshi Ishiguro (Osaka University, Japan) David Oreilly (Artist, USA) Margaret Boden (University of Sussex, UK) Kenneth O. Stanley (University of Central Florida, USA).
On behalf of the Steering Committee of the Complex Systems Society, the Organizing Committee of CCS2018 and and the Aristotle University of Thessaloniki, I would like to invite you to CCS2018, to be organized in Thessaloniki, Greece in the period September 23-28, 2018. This Conference is in line with the series of meetings previously held in Cancun, Mexico(2017), Amsterdam, Netherlands(2016), Tempe, Arizona,USA(2015), Lucca, Italy(2014), and more meetings in previous years. All these past meetings have delivered the highest quality of presentations, the most up-to-date findings, have been attended by the pioneers in the field of Complex Systems, as well by young aspiring students, numbering an attendance of close to one thousand. Our purpose is to deliver a well-tailored and focused event of the highest scientific and organizational standards in the vibrant and friendly city of Thessaloniki, which is renown for its beauty, its warm hospitality and history of Greek, Roman, Ottoman and Jewish ancestries, spanning a period of over 2300 years.
Redefine business in the 21st century at the intersection of computer science and social science
Save the date for this interdisciplinary event designed to connect a diverse community of researchers — academics, industry experts, open data activists, government agency workers and think tank analysts — who are dedicated to advancing social science through computational methods.
For four days, IC2S2 will be the epicenter of computational social science. Convening hundreds of attendees from more than 20 countries, the impact of IC2S2 is influential, innovative and global.
After successful events in Helsinki, Finland; Evanston, IL; and Cologne, Germany, the 4th Annual IC2S2 will return to Evanston and the Kellogg School of Management at Northwestern University. Join us in 2018 to explore the future of social research and the biggest questions facing the field of computational social science today.
The 2018 Winter School provides an overview of complexity and complex systems science that empowers participants search for their own answers to these questions. The knowledge gained will enable participants to apply complexity science ideas in their own domains.
Essentially the school will:
teach basic aspects of complexity and complex systems, answering the question: What makes a system complex? Aspects that will be covered include nonlinearity, order disorder & chaos, emergence and complex adaptive systems introduce methods, models and simulation tools to study the behaviours of complex systems and provide hands-on experience on through the use of software for building, simulating and visualizing complex networks. Participants are encouraged to bring their own data, work in groups mentored by instructors. Participants will then have the opportunity to present their own findings at the end of the week long course. provide insights into how complexity manifests itself in real life e.g. politics & governance, eco-systems, cities and spreading phenomena such as rumours, epidemics, economics and innovation.
Winter School on Complexity Science
Date: 22-23 & 26-28 March 2018 Venue: Nanyang Executive Centre, NTU, Singapore
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.
Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (4th edition) Lake Como School of Advanced Studies Villa del Grumello, Como, Italy, 14-18 May 2018
*** DEADLINE FOR APPLICATION: February 18, 2018 ***
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