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Conferences, workshops, meetings, and seminars related to complex systems
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Digital Transformation & Global Society DTGS 2019

Digital Transformation & Global Society DTGS 2019 | CxConferences | Scoop.it

DTGS is an emerging international academic forum for the interdisciplinary Internet Studies field. The mission of the conference is to provide a collaborative platform for researchers and experts to discuss the transformative impact of digital technologies on the way we communicate, work and live.

The event is jointly organized by the ITMO University and the National Research University Higher School of Economics (St. Petersburg Campus), both being the leading universities, globally known for their research in information technologies, communication and social sciences.

 

4TH INTERNATIONAL CONFERENCE
Digital Transformation & Global Society (DTGS 2019)

JUNE 19-21, St. Petersburg, Russia

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Online Winter School on Spectral Methods for Complex Systems

The main motivation for the online Winter School on "Spectral Methods for Complex Systems" is to learn about broad applications of spectral methods, to exchange new ideas and to record lectures
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Swarm Robotics - Pushing the state of the art

Swarm Robotics - Pushing the state of the art | CxConferences | Scoop.it

Swarm robotics is the domain of robotics that deals with large groups of robots that coordinately and cooperatively accomplish a task.
Inspired by natural self-organising systems like ant colonies, fish schools or bird flocks, the goal of swarm robotics research is to deploy complex robotics systems that present robustness to faults, scalability to different group sizes, flexibility of the displayed behaviour and adaptivity to environmental changes.
The problems faced by swarm robotics concerns mainly the analysis of complex systems formed by a multitude of interacting units, the design of individual level rules leading to desired collective behaviours, and the application of the lessons learned in lab research to real-world domains. The workshop will discuss cutting-edge research in all these directions thanks to a great assembly of invited speakers, and will represent a unique place where to trace the future of this research field beyond the state of the art. 

 

Swarm Robotics - Pushing the State of the Art
October 25-26 2018
Rome, Italy

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CCS2018 Satellite. ReACT#3: Robustness, Adaptability and Critical Transitions in Living Systems #3.

Deadline 28/06. Register your abstract soon! 
 
 
After the success of the Satellite at ECCS 2014 and CCS 2016, we would like to propose a follow-up Satellite always focusing on Robustness, Adaptability and Critical Transitions in Living Systems 

Living systems are characterized by the recurrent emergence of patterns: power-laws distributions, long-range correlations and structured self-organization in living matter are the norm, rather than the exception. All these features are also typical of thermo-dynamical systems poised near a critical point. The great lesson from physics is that criticality can emerge as a collective behaviour in a many-body system with simple (e.g. pairwise) interactions and its characteristics depend only on few details like the dimensionality or symmetries. 

In a statistical-mechanics approach, it is fundamental to determine the order parameter, which characterizes the different system phases. This is a crucial step to obtain the key ingredients needed to formulate a modeling framework, so as to obtain a better understanding of the system's macroscopic behaviour. However, the understating of biological/social systems needs more than a mere generalization of the standard statistical mechanics approach. 

One of the most striking feature of living systems is that they are structured as evolving systems were interactions can turn-on or off, as well as strengthening and weakening, reconfiguring the system connectivity. Thus, by rearranging both the structural and functional topology, living interacting systems may demonstrate unique evolvability, scalability and adaptability properties. 

It is of crucial importance to make further steps in the understanding of the main properties that simultaneously confer to these systems high level of both adaptability and robustness. If we can “learn” from evolution, then we would be able to both better manage/supervise these systems and also design more optimal and sustainable new systems. 

Relevance to the conference main tracks 

1. Foundations of Complex Systems* (Complex networks, self-organization, nonlinear dynamics, statistical physics, mathematical modeling, simulation) 

2. Biological Complexity* (Biological networks, system biology, evolution, natural science, medicine and physiology)
 
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Complex Systems for the Most Vulnerable, Satellite @CCS18

Complex Systems for the Most Vulnerable, Satellite @CCS18 | CxConferences | Scoop.it
In recent years, research efforts addressing the needs of the most vulnerable populations -- from those with low incomes to children, women and other minorities -- have started to draw the attention of the scientific community. Notable examples in this space are the Data for Development and Data For Refugees challenges, organized by Orange and TurkTelecom respectively. However, the gap between the academic world and the organizations that could use the proposed methods and insights for their programmatic purposes is still wide. This satellite workshop, organized by UNICEF’s Office of Innovation, aims at focusing the attention of the Complex System scientific community on the pressing issues that affect the most vulnerable. In addition, this will be a venue to showcase the most relevant theoretical and operational work in complex systems research -- where the challenges of the most vulnerable are a core component.

 

Conference on Complex Systems CCS2018 Satellite Meeting
"Complex Systems for the Most Vulnerable"
Thessaloniki, 27 September 2018

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Innovation, Economic Complexity and Economic Geography Workshop

Innovation, Economic Complexity and Economic Geography Workshop | CxConferences | Scoop.it

The workshop aims to bring together experienced researchers with young scholars in the fields of Innovation, Economic Complexity and Economic Geography to understand knowledge accumulation and spillovers through products, people and places. Those interested in interdisciplinary research, especially bridging a gap between these topics are strongly encouraged to apply.  Complementary to the workshops provided there will also be young scholar presentations where the invited speakers will provide feedback in their respective relevant sessions. 

 

August 5-7, 2018
MIT Media Lab, E14 - 633
75 Amherst Street, Cambridge, MA

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BrainComputing: Theoretical Neuroscience and its Applications, CCS18 Satellite

BrainComputing: Theoretical Neuroscience and its Applications, CCS18 Satellite | CxConferences | Scoop.it
Neuroscience is a highly interdisciplinary field focused on uncovering the dynamics of brain and, more in general, the complex functions and structures of neural systems. These topics constitute paradigmatic examples of complex systems, and can be studied by using different frameworks, spanning from nonlinear dynamics to complex networks. In addition, the increasing availability of data coming from tools like fMRI, EEG, and others, has strongly supported new investigations. At the same time, although these topics are maybe among mostly investigated in science, a lot must yet be discovered. Remarkably, neural systems have had a great impact also in parallel fields, e.g. artificial intelligence, leading to propose new algorithms and computational techniques. For instance, neural networks and their evolution to the modern deep learning represent one of the most successful cases. It is worth to highlight that some of these tools (e.g. Deep Learning) are now widely used for investigating (biological) neural systems, e.g. for analyzing brain waves. As result, a big interdisciplinary community composed of neuroscientists, physicists, mathematicians, computer scientists, and many others, nowadays collaborates on the same projects and interacts trying to obtain new insights in this complex and exciting field. The proposed satellite will be focused on theoretical neuroscience, and its extensions to AI/Deep Learning, in order to attract the interest of researchers working in a highly interdisciplinary contexts, often overlapping, with the aim to trigger discussions and sharing novel ideas on the field. In particular, we aim to have a specific focus on the synopsis of current research into complex networks in human neuroscience, supported by data coming from fMRI/EEG/etc, on the complexity emerging in artificial neural networks, and on the potential synergy between the two fields.
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7th International Young Scientists Conference in Computational Science

7th International Young Scientists Conference in Computational Science | CxConferences | Scoop.it

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

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Brains, Minds & Machines Summer Course 2018

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

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Network Medicine '18

Network Medicine '18 | CxConferences | Scoop.it

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

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8th Morphogenetic Engineering Workshop at ALife 2018

8th Morphogenetic Engineering Workshop at ALife 2018 | CxConferences | Scoop.it

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

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EcoNet - NetSci 2018 Satellite - Submit your Abstract

EcoNet - NetSci 2018 Satellite - Submit your Abstract | CxConferences | Scoop.it

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.

 

Submit your abstract here:

https://easychair.org/account/signin.cgi?timeout=1;key=65660754.A176lAlmLWLYLClq

 

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Computation by natural systems

Computation by natural systems | CxConferences | Scoop.it

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

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25th International Workshop on Cellular Automata and Discrete Complex Systems

25th International Workshop on Cellular Automata and Discrete Complex Systems | CxConferences | Scoop.it

The 25th International Workshop on Cellular Automata and Discrete Complex Systems AUTOMATA 2019 will take place on June 26-28 in Guadalajara, Mexico.   Proceedings Accepted full papers will appear in the proceedings published by Springer in the Lecture Notes in Computer Science series. About the Conference AUTOMATA 2019 is the twenty-fifth workshop in a series of events established in 1995. These workshops aim:

  • To establish and maintain a permanent, international, multidisciplinary forum for the collaboration of researchers in the field of Cellular Automata (CA) and Discrete Complex Systems (DCS).
  • To provide a platform for presenting and discussing new ideas and results.
  • To support the development of theory and applications of CA and DCS (e.g. parallel computing, physics, biology, social sciences, and others) as long as fundamental aspects and their relations are concerned.
  • To identify and study within an inter- and multidisciplinary context, the important fundamental aspects, concepts, notions and problems concerning CA and DCS.

 

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Complexcity@POLITO – Turin, Italy, October 29-30 2018

The workshop is the 13th of a series of tutorial workshops annually organized to explore the emergence of new research fields in which modeling, analysis and control of nonlinear and complex systems play a role of growing importance. These workshops have been traditionally devoted to an interdisciplinary audience with particular attention to PhD students and young researchers. The theme of this year is “Complexity and The City” with a unique focus on interactions, mobility, epidemics, information and misinformation spreading, and many other complex phenomena occurring in urban environments.

The workshop will gather scholars, students, and practitioners for two days of presentations and debates around complex systems science and its interplay with urban environments. A series of plenary lectures from renowned scholars is planned, while PhD students and young researchers will have dedicated sessions to present their research activity in an effective and appealing way. Social events will foster interaction and creation of collaboration opportunities.

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UrbanSys 2018

Following a series of successful satellites organised at previous ECCS/CCS events, (UrbanNet2013 at ECCS13, CitiNet 2014 at ECCS14, UrbanNet2015 at NetSci 2015, UrbanNet2016 at CCS2016 and UrbanSys2017 at CCS2017), the objective of the UrbanSys2018 satellite of CCS2018 is to create a space for exchanging state-of-the-art results and innovative ideas on how to address the problems and opportunities opened by smart cities through complex systems theory and methodologies. In this sense, we have launched a call for contributions for the satellite. Particular attention will be devoted to new data-driven approaches for improving the planning and management of urban infrastructures, including land use, transportation, energy and tourism planning, to mention some examples.

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Complex Networks Winter Workshop

Complex Networks Winter Workshop | CxConferences | Scoop.it

The Complex Networks Winter Workshop (CNWW) is a week-long international school that offers an extraordinary opportunity for participants to engage in rigorous transdisciplinary complexity science research alongside some of the top researchers in the field of networks. The CNWW is designed for graduate students, postdoctoral fellows, and professionals.

 

Québec City, Québec, December 15-21, 2018.

Complexity Digest's insight:

See Also:

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5th IEEE International Conference on Data Science and Advanced Analytics

5th IEEE International Conference on Data Science and Advanced Analytics | CxConferences | Scoop.it
The IEEE International Conference on Data Science and Advanced Analytics (DSAA) aims to be the flagship annual meeting spanning the interdisciplinary field of Data Science. DSAA focuses on the science of data science, as well as the implications of the science for applications to industry, government, and society. From the science side, DSAA spans all of the component fields of data science, including statistics, probabilistic and mathematical modeling, machine learning, data mining and knowledge discovery, complexity science, network science, business analytics, data management, infrastructure and storage, retrieval and search, security, privacy and ethics. From the applications side, DSAA aims both to show researchers important problems and issues that are revealed by real applications, and to show practitioners and users how the science can be applied to realize value. DSAA is intended to reflect the interdisciplinary nature of data science and analytics, as an alternative to the highly specialized disciplinary conferences.

 

October 1-4, 2018

Torino, Italy

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10th congress of the European Union for Systemics (UES2018)

10th congress of the European Union for Systemics (UES2018) | CxConferences | Scoop.it

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

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WICI Conference on Modelling Complex Urban Environments - June 21-22, 2018 | Waterloo Institute for Complexity & Innovation | University of Waterloo

WICI Conference on Modelling Complex Urban Environments - June 21-22, 2018 | Waterloo Institute for Complexity & Innovation | University of Waterloo | CxConferences | Scoop.it

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

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GEFENOL Summer School 2018

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).

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Complex Networks 2018

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

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Complexity72h

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.

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9th International Conference on Complex Systems

9th International Conference on Complex Systems | CxConferences | Scoop.it
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

 

Invited Speakers:

  • Albert-László Barabási
  • Cameron Kerry
  • Nassim Nicholas Taleb
  • Stuart Kauffman
  • Peter Turchin
  • Olaf Sporns
  • Iyad Rahwan
  • Sandy Pentland
  • Irving Epstein
  • Simon DeDeo
  • H. Eugene Stanley
  • Stephen Wolfram
  • César Hidalgo
  • More Speakers TBA

 

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