Data Science is a key ingredient for understanding the increasingly complex social, economic & technological systems. Number and size of the relevant datasets is growing and becoming increasingly heterogeneous. Financial systems, map and mobility data, urban space usage, human behavior and infrastructure are increasingly linked to each other to provide services to each single user of the global community worldwide. Data and platform access can add clues to solve a number of issues, in order to achieve efficient interoperability and performances. However, data access may imply a number of risks, intrinsically related to the individual privacy and social security.
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.
Physics and chemistry have arrived at a deep understanding of the non-living world. Can we expect to reach similar insights, integrating concepts and quantitative explanation, in biology? Life at its origin should be particularly amenable to discovery of scientific laws governing biology, since it marks the point of departure from a predictable physical/chemical world to the novel and history-dependent living world. The origin of life problem is difficult because even the simplest living cell is highly evolved from the first steps toward life, of which little direct evidence remains. The conference aims to explore ways to build a deeper understanding of the nature of biology, by modeling the origins of life on a sufficiently abstract level, starting from prebiotic conditions on Earth and possibly on other planets. The conference will examine the origin of life as part of a larger concern with the origins of organization, including major transitions in the living state and structure formation in complex systems science.
Nov. 9-13th, 2015 at Carnegie Institution of Washington, Washington D.C.
CCS'15 Satellite Meeting: Information Processing in Complex Systems (IPCS'15)
Abstracts due: June 20 Decision of admission: June 25 Satellite meeting: October 1
All systems in nature have one thing in common: they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred. Indeed, bits of information about the state of one element will travel – imperfectly – to the state of the other element, forming its new state. This storage and transfer of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system could reveal new fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics, would reduce to a single language of information processing.
The International Symposium on Intelligent Computing Systems (ISICS) is committed to the promotion, preservation, and collaboration of research and practice in the field of artificial intelligence, including computer vision and image processing. This international event will be held in Merida, Mexico, on March 16th - 18th, 2016.
The aim of this conference is to bring together researchers from around the world working on discrete modeling of complex systems and analysis of their dynamics. The objective of this conference is to provide a forum for exchange of ideas, presentation of results of current research and to discuss potential future directions and developments in the field of discrete modeling of complex systems and analysis of their dynamics from methodological and phenomenological point of view. The conference will cover both theoretical and applied research. It will focus on discrete modeling methodologies and their applications to analysis across different scales of dynamics of complex systems. The 2015 Summer Solstice Conference topics include, but are not limited to, the following: • Challenges, benefits and theory of modeling and simulation of complex systems using cellular automata, lattice gas cellular automata, multi-agent based models, complex networks • Discrete models in biology and medicine • Discrete models in economy and social sciences • Discrete models of man made complex systems from nanotechnology to information networks • Tools of analysis of dynamics and multiscale phenomena of discrete models of complex systems There will be sessions of contributed presentations. The organizers reserve the right to assign contributed presentation as oral or poster. The Post Conference Proceedings are planned and all conference presenters will be invited to submit a paper for publication in the Proceedings. All submissions will be peer-reviewed.
The financial industry is experiencing unprecedented transformation. This period is giving rise to challenges and tremendous opportunities. This first ever conference at TD Ameritrade is designed to bring together business and academia to collaborate and advance theoretical knowledge to find impactful solutions. Additionally, it's designed to stimulate novel applied research activity that provides actionable insights for investors, regulators, innovators and scientists.
The activities will primarily focus on the connections between complex systems on one hand, and nonadditive entropies, nonextensive statistical mechanics, as well as any other related approaches, on the other hand. The discussion of natural, artificial and social systems which constitute possible candidates for analytical, computational, experimental and observational applications of such approaches is absolutely welcome, including epistemological contributions.
Latin-American School and International Workshop on Foundations of Complexity – Nonadditive Entropies and Nonextensive Statistical Mechanics
Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, Brazil, October 4-30, 2015.
The aim of the workshop is to bring together applied mathematicians that drive the development of theory for the analysis and control of time-evolving networks with scientists that encounter time-evolving networks in applications like epidemiology and evolution.
“Recognizing the relevance of change: Analysis and control of time-evolving networks in epidemiology and evolutionary medicine”
The UK’s largest conference for early-career researchers in complexity science is graduating to mainland Europe. The Student Conference on Complexity Science (SCCS) has a focus on computational modelling, simulation and network analysis that extends over the full range of disciplines. The interdisciplinary nature of the conference is attested by its diversity of keynote speakers, delegates, and practical, hands-on workshops.
Since 2010, the SCCS conference series has brought together PhD students and early-career researchers from the UK and beyond, whose interests span areas as diverse as quantum physics, ecological food webs, and the the economics of happiness. This year SCCS will take place for three days in Granada, Spain to engage more international participation.
SCCS 2015 will be held between 9-11 September 2015 in Granada Congress and Exhibition Centre, Spain.
Aim and scope: This summer school will provide opportunities to collect experience with modern data analysis, in particular Big Data analytics. This includes subjects such as how to mine data in the Internet and data of Social Media. Moreover, participants will be able to work with us on the Planetary Nervous System. The Planetary Nervous System is a large-scale distributed research platform that will provide real-time social mining services as a public good. Existing Big Data systems threaten social cohesion as they are designed to be closed, proprietary, privacy-intrusive and discriminatory. In contrast, the Planetary Nervous System is an open, privacy-preserving and participatory platform designed to be collectively built by citizens and for citizens. The Planetary Nervous System is enabled by Internet of Things technologies and aims at seamlessly interconnecting a large number of different pervasive devices, e.g. mobile phones, smart sensors, etc. For this purpose, several universal state-of-the-art protocols and communication means are introduced. A novel social mining paradigm shift is enabled: Users are provided with freedom and incentives to share, collect and, at the same time, protect data of their digital environment in real-time. In this way, social mining turns into a knowledge extraction service for public good. The social mining services of the Planetary Nervous System can be publicly used to build novel innovative applications. Whether you would like to detect an earthquake, perform a secure evacuation or discover the hot spots of a highly frequented city, the Planetary Nervous system makes this possible by collectively mining social activities of participatory citizens. See http://www.nervousnet.ethz.chhttp://futurict.blogspot.ch/2014/09/creating-making-planetary-nervous.html for more information.
The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2016 will host three conferences: The 2016 International Joint Conference on Neural Networks (IJCNN 2016), the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), and the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) under one roof. It encourages cross-fertilization of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence.
2016 IEEE World Congress on Computational Intelligence Vancouver Convention Centre, Vancouver, Canada 25-29 July 2016 wcci2016.org
The increasing availability of large-scale datasets that capture major activities in science—publications, patents, citations, grant proposals, as well as detailed meta-data associated with them—has created an unprecedented opportunity to explore in a quantitative manner the patterns of scientific production and reward. In contrast with standard bibliometric studies, the recent surge in quantitative studies of science is characterized by a few distinct flavors: (i) They typically rely on large-scale datasets to study science, ranging from hundreds of thousands to millions of authors, papers and their citations; (ii) Instead of evaluating metrics, they use models to more deeply probe the mechanisms driving science, from knowledge production to scientific impact, systematically distinguishing predictable from random patterns; (iii) More quantitative studies of science no longer hold the unique goal of evaluating and improving the system of science. Rather, researchers from a wide range of disciplines have begun to use science as an observatory to probe social phenomena that are more universal and widely applicable than the institutions of science themselves. As such, the tools and perspectives vary, involving social scientists, information and computer scientists, economists, physicists and mathematicians, with results published in venues with non-overlapping readership.
The goal of this satellite is to bring together leading researchers from various disciplines and form discussions on the proliferating subject of quantifying science. We specifically look for contributions that satisfy one or more of the aforementioned flavors.
Social change is intricately linked to technological progress, which is intricately linked to scientific understanding, which again influences how we interpret the world around us. For example, the co-formulator of the theory of evolution, A.R. Wallace, proposed natural selection as a kind of feedback mechanism which “is exactly like that of the centrifugal governor of the steam engine”. Currently, information and communication technologies transform our lives. And once again, the emerging theories have an important influence on the way we interpret the world around us. It is not surprising to hear laypeople and scientists alike suggesting that “evolution computes”, “the economy processes information”, “code is law”, “ecosystems are communication networks”, and “culture executes algorithms”. This Session explores formal advancements in the application of information sciences to social and biological systems. We call for papers that explore the explicit application of theories, concepts, and mathematical tools developed in fields like information theory and computer science to all branches of ecological and social systems, including evolutionary ecology, economics, sociology, communication, political science, anthropology, and social psychology.
How can the synthetic study of living systems contribute to societies: scientifically, technically, and culturally? The goal of the conference theme is to better understand societies with the purpose of using this understanding for a more efficient management and development of social systems.
ALife XV: The Fifteenth International Conference on the Simulation and Synthesis of Living Systems.
Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems - Cambridge, MA 21 - 25 September 2015
Part of FAS* - Foundation and Applications of Self* Computing Conferences Collocated with: The International Conference on Cloud and Autonomic Computing (CAC 2015) The 15th IEEE Peer-to-Peer Computing Conference
The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. The complexity of current and emerging networks, software and services, especially in dealing with dynamics in the environment and problem domain, has led the software engineering, distributed systems and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing such computing systems. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches. Many significant research problems exist related to self-adaptive or self-organizing systems. A challenge in self-adaptation is often to identify how to change specific behavior to achieve the desired improvement. Another major challenge is to predict and control the global system behavior resulting from self-organization. Yet more challenges arise from the confluence of self-adaptation with self-organization. For instance, how do self-* mechanisms that work well independently operate in combination? How are meso-level structures formed which leverage micro-level behavior to achieve desirable macro-level outcomes, and avoid undesirable ones?
CCT'15 is the third edition of the "Chaos, Complexity and Transport" conference series, following CCT'07 and CCT'11 . It will be held in Marseilles in the Pharo area from the 1st to 5th June 2015. The aim of this international conference is to bring together experimentalists and theoriticians from various fields to discuss non-linear phenomenas related to chaos, complexity and transport. The committees will thus encourage interdisciplinary contributions as well as contributions related to the following topics : Chaos, Transport, Complex systems, Self-organization, Hamiltonian systems, Mixing, Quantum chaos, Control, Fluid mechanics, Plasma physics, Nonlinear optics
The first world e-conference organized by the UNESCO CSDC and UniTwin. For all scientists involved in the transdisciplinary challenges of complex systems, theoretical questions, experimental observations of multi-level dynamics.
CS-DC’15 will take place within the Conference on Complex Systems (CCS’15), from Sept 28 to Oct 2, 2015, the first instance of a new series following the European Conferences on Complex Systems (ECCS) held between 2004 and 2014.
CS-DC’15 is also a new kind of conference with no conference fees, neither for speakers nor attendees, and happening for the most part online. Any connected scientist in the world can present a paper (accepted after submission) and ask questions. All selected presentations are given via open videoconference tools in front of a worldwide audience. They are recorded and can be replayed later on for research and education purposes without time limit.
CS-DC’15 is exemplary of the new “social intelligence” strategies for sharing education and research resources, in particular ones that deal with the transdisciplinary challenges of complex systems. This objective is the main commitment of CS-DC in the Cooperation Program signed with UNESCO.
Recent availability of large volumes of ecological and biological data spanning a wide range of scales, made it evident that, despite their diversity, living systems are characterized by patterns/regularities repeated from microscopic to global scales. This workshop aims to explore how these recurrent phenomena emerge as the result of concerted interactions among their constituent elements (e.g. species, or genes), using a combination of approaches inspired by statistical mechanics, network analysis and the theory of complex systems. The aim of the workshop is to introduce students and young researchers with strong background in quantitative sciences to methods and ideas used to describe such complex systems. The range of topics covered at the workshop is very broad, ranging from genomics to ecology, with the ultimate goal of identifying similarities and differences of complex biological systems operating at different scales.
Fee* 150 euro. (*) We will grants 3 fee waivers to support the attendance of PhD students and Junior Post Doctoral researchers (no more than two years from their PhD completion). Prospective participants who are eligible should accompany send an email to the Organizing Committee (LIPh.firstname.lastname@example.org) requiring the fee waiver, providing the CV and a motivation letter. The acceptance will be notified together with the admission to the school.
Synthetic Biology’s vision to repurpose living cells as substrates for general computation has manifested itself in genetic circuit designs that attempt to implement Boolean logic gates, digital memory, oscillators, and other circuits from electrical engineering. Yet, the various achievements in the realm of Synthetic Biology remain isolated and generally lack the modularity and scalability of their electronic counterparts.
This ECAL 2015 satellite workshop revisits cornerstone achievements in Synthetic Biology research that address general computability in biological substrates, in order to demarcate key in-vivo and in-silico challenges of this novel research area. Topics will deal with how paradigms borrowed from digital, electronic devices are best implemented in large-scale biological substrates, and whether unconventional computing paradigms, such as those developed in the research field of Artificial Life, might offer more promising routes toward full-fledged biological computation.
* Martyn Amos, Manchester Metropolitan University, UK * Friedrich Simmel, Technische Universität München, Germany
Symposium and workshop on social network analysis - SFECA2015
We organised a french symposium and workshop on social network analysis in animal societies for the french congress for the study of animal behaviour - SFECA2015. information can be found on the websiste
This new annual computational social science summit is designed to create a broad community of social science researchers - academics, tech industry workers, open data activists, government agency workers, and think tank analysts – dedicated to advancing sociological knowledge through computational methods. Our goal is to foreground social science research and identify areas that can benefit from a deep engagement with computer science and related areas. The Summit will take place over three days, from May 15-17 at Northwestern University’s Kellogg School of Management in Evanston, IL.
After the success of the previous editions (ICCS’12 and WCCS14), we are very glad to announce the WCCS15, “Third World Conference on Complex Systems“. The WCCS15 will be organized by Ibn Zohr University; Moroccan Society of Complex Systems and National College of IT (ENSIAS, Mohamed V Souissi University) in partnership with IEEE Moroccan section and International Academy for Systems and Cybernetic Science during November 23-25, 2015 in Marrakech-Morocco.
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