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Conferences, workshops, meetings, and seminars related to complex systems
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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.

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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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Mediterranean School of Complex Networks 2018

Mediterranean School of Complex Networks 2018 | CxConferences | Scoop.it

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.

 

Salina, Sicily   1 Sep - 8 Sep 2018

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Global Systems Science: How to Address Humanity's Challenges

Presentation by Dirk Helbing

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Workshop "Stochastic models in ecology and evolutionary biology", 5-7th April 2018, Venice. Registration Open!

Workshop "Stochastic models in ecology and evolutionary biology", 5-7th April 2018, Venice. Registration Open! | CxConferences | Scoop.it
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.

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CAPS 2018: Complexity And Policy Studies

CAPS 2018: Complexity And Policy Studies | CxConferences | Scoop.it

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

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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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From Animals to Animats: 15th International Conference on the Simulation of Adaptive Behavior 2018

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.
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Call for Papers | ALIFE 2018

Call for Papers | ALIFE 2018 | CxConferences | Scoop.it

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)

July 23-27, 2018
Tokyo, Japan

2018.alife.org

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).

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Conference on Complex Systems 2018, CCS2018, Thessaloniki, Greece

Conference on Complex Systems 2018, CCS2018, Thessaloniki, Greece | CxConferences | Scoop.it

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.

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