Lab on complex systems and complex networks.More
is a joint research team between CNRS, Inria, Inserm and UPMC (University Pierre et Marie Curie) within the Brain and Spine Institute (ICM). The ICM is a recently created neuroscience center based in the Pitié-Salpêtrière hospital in Paris, which is the largest adult hospital in Europe and has a long tradition of neuroscience and neurology.
ARAMIS is a pluridisciplinary group bringing together methodological researchers (computer science, applied mathematics) and medical experts (neurology, medical imaging). The team has close and enduring collaborations with different clinical teams of the ICM and the Pitié-Salpêtrière hospital.
The general objective of the team is to build numerical models of brain diseases from multimodal patient data (medical imaging, clinical data, genomic data). To achieve this goal, we develop new data representations and statistical learning approaches that can integrate multiple types of data acquired in the living patient, including medical imaging, clinical and genomic data. In turn, these models will allow for a better understanding of disease progression, and the development of new decision support systems for diagnosis, prognosis and design of clinical trials.
Key methodological domains: Statistical and machine learning, Medical image processing, Morphometry, statistical shape analysis, Complex networks theory, Graph analysis, Longitudinal models
Main applications: Alzheimer’s disease, Fronto-temporal dementia, Multiple sclerosis, Parkinson’s disease, Brain computer interfaces
The Center for Complexity and Emerging Technologies (COMET) is an interdisciplinary research laboratory under the Advanced Research Institute for Informatics, Computing, and Networking (AdRIC) at De La Salle University. Our mission is to enhance our understanding of emergent phenomena in real-life systems (i.e. cities, mobility), sociotechnical systems (i.e. social networking sites, Wikipedia), and human-computer interactions. We develop computational models which are then used in the design of interactive tools, information systems, and interaction techniques.More
The Center for Complexity & Biosystems (CC&B) is a new interdisciplinary center for complex systems at the University of Milan. Mission: The functioning of cellular processes, the organization of a biological organism, social dynamics and the behavior of many materials are complex phenomena emerging in a non trivial way from the interaction of an ensemble of elementary elements. To tackle the scientific and technological challenges posed by complex systems we need a new interdisciplinary approach that can help us to interpret the growing amount of data in all these fields of research. The CC&B is taking the challenge to study emergent properties of complex, biological and biomimetic materials, to understand how elementary cellular and bio-molecular processes result in the physiological and pathological behavior of an organism, and to analyze quantitatively dynamics of complex networks.More
The CPT is currently the largest theoretical physics laboratory in France, with more than 50 permanent researchers in 10 teams.
The current research carried out at CPT covers a vast area of topics, ranging from the study of fundamental interactions, of many body systems, to that of rigorous mathematical physics in various aspects. CPT develops interdisciplinary research activities is such diverse areas as: fundamental sciences (high energy physics and cosmology), nanosciences, hydrodynamics, plasma physics, complex systems (with interdisciplinary applications), mathematics (both pure and applied), and biophysics.More
The C3 is a meeting place for interdisciplinary researchers to use the scientific study of complex systems for addressing national and global problems.More
CoMuNe Lab is the FBK Research Unit for Multilayer Modeling and Analysis of Complex Systems. Our research is at the edge of statistical physics, applied math and computer science. We use (mostly) network and data science to study structure, dynamics and resilience of real-world complex systems.More
We are interested in the mathematical description and modelling of the architecture and dynamics of complex systems. Our main goal is to understand how a complex system self-organizes and how various collective behaviours emerge when a large number of units or dynamical systems interact through non-trivial networks. We make use of mathematical tools from graph theory, statistical mechanics and nonlinear dynamics, and large-scale numerical simulations. We are interested in applications to biology, social systems, and man-made networks, where we address both fundamental problems as well as applied research with some industrial collaborators.More
The Complex Systems and Networks Lab is headed by Prof. Yamir Moreno. The Lab is part of the Institute for Biocomputation and Physics of Complex Systems (BIFI) at the University of Zaragoza. The core of our research activity is aimed at investigating the laws governing the structure and dynamics of complex networked systems. We are actively researching on subjects such as: Epidemic spreading, including interacting and multi-pathogen diseases, the epidemiology of TB transmission, the analysis of biological, economic and socio-technical systems, the use of Big Data, the foundations of multilayer networks and systems, the theoretical and experimental basis of evolutionary game dynamics and human collective phenomena (see our dedicated web-page at http://nectunt.bifi.es), the analysis of nonlinear dynamics on networked systems and, lately, on some problems within the Systems Biology’s domain. You will find more specific information about all the previous research lines in our webpage.More
The Complex Systems Institute is an interdisciplinary research group for the study of critical events in complex social and economic systems.
New theories of complex systems, a surge in computational capacity and abundant Big data have produced disruptive new insights that reach across traditional disciplinary boundaries. The Complex Systems Institute at Ghent University was set up as a result of this revolution and aims to bring together researchers interested in studying nature from a systems perspective, using data and network sciences, statistical physics and computational modelling.
The Complex Systems Institute brings together scholars from various areas with a joint interest in the dynamics of complex social and economic systems and find common concepts, methodology and interests to tackle complicated and usually interdisciplinary challenges together.
The team consists of specialists in the study of dynamic networks and experts in the analysis of very large datasets interested in applying their expertise outside their own field, scholars in search of new methodology for reconceptualising their own field and reinterpreting the data to which they have access, e.g. stability of financial systems, systemic risk in interbanking networks, paradigm shifts in collaborative citation networks, emergence of epidemic outbreaks, and social networks.
We are located in the lovely medieval town of Ghent, Belgium. This is the land of Adolphe Quetelet, a pioneer in social physics, one of the first to apply statistical methods to study social sciences, and our university is where Pierre Verhulst, the inventor of the logistic growth model of populations, did his doctoral studies. Not least, the Gentse Stoverij and the Gentse neuzen are unbeatable.More
The ISC-PIF (Institut des Systèmes Complexes, Paris Île-de-France – Paris Île-de-France Complex Systems Institute) is an interdisciplinary research and training center that promotes the development of French, European and international strategic projects on complex adaptive systems, understood as large networks of elements interacting locally and creating macroscopic collective behavior.More
Study the mechanisms of information processing and control in Complex Systems, such as the living systems, human systems, social systems and technological systems. In particular, study the detection, processing and transmission of information in such systems as well as measurement, automation and control of their internal processes.
Perform conceptual, theoretical, methodological and technological contributions to solve problems related with Complex Systems.
Perform computerized technological developments in Cybernetics.
Prepare researchers, professors and specialists in Cybernetics and Complexity Sciences.
LINES OF RESEARCH AND DEVELOPMENT
Theories, Methods and Models of Social Complexity.
Philosophical, theoretical and methodological fundamentals about the analysis and synthesis of Complex Systems.
Memetic models of knowledge.
Systemic networks and applications.More
The Department of Network and Data Science (DNDS) at the Central European University carries out research on the theoretical foundations and interdisciplinary applications of network science. The Department is the largest hub and offers the only PhD in network science in Europe. The Department currently hosts 9 faculty members, 25 PhD students and several postdocs.
Topics of interest include:
The Department of Network and Data Science translates these ideas into research projects. Our faculty have won several major grants from the European Union and US funding agencies.
Complex System Investigation Group at the Federal University of Viçosa. It is used by the following research groups:
Instant information and social media are game changers for future urban applications. We investigate the interplay of mobility and social dynamics. Social ties move similarly. We have uncovered fascinating networks properties within cities We extract daily mobility pattern from mobile phone data, compare it with survey data, and identify of unique “motifs” that allow to model Urban Trips. We extract Origin–Destinations at urban scale based on mobile phone data. Congested roads can be connected to their driver sources (where the users live). The major usage of a road segment can be linked to surprisingly few driver sources. A new classification of roads for mobility analysis of road systems.More
IMT Institute for Advanced Studies Lucca is a research university within the Italian public higher education system. As an institute for advanced studies, IMT hosts researchers who carry out methodological research, held to high scientific standards, leading to the development of new knowledge. IMT's specially designed campus fosters the continual presence of visiting scholars that contribute to creating a stimulating and intellectually lively environment. At the same time, IMT is also an institute of technology where numerous research projects are undertaken to apply cutting-edge scientific results to solve problems of economic, industrial, and societal interest. The pillars of the institute's research model are its thematic research units, highly specialized in a specific field, that often cooperate in interdisciplinary projects. IMT's institutional role is also that of a graduate school where knowledge is transmitted to young PhD students. The multidisciplinary PhD program of IMT, organized into thematic curricula, promotes the full integration of research and education. An appropriate balance of methodological rigor and applicative relevance is emphasized to best prepare IMT's PhDs in finding key appointments in research centers, companies, and public institutions.More
IFISC (Institute for Cross-Disciplinary Physics and Complex Systems) is a joint research institute of the University of the Balearic Islands (UIB) and the Spanish National Research Council (CSIC) created in 2007 building upon the former Cross-Disciplinary Physics Department of the Mediterranean Institute for Advance Studies (IMEDEA) dating from 1995. Its mission is to develop Cross-Disciplinary and Strategic Research in Complex Systems following the established scientific approach of physicists.
By Cross-Disciplinary Research we mean the transfer of knowledge, concepts and methods to create bridges among traditional disciplines. By Strategic Research we mean focusing on advanced studies in emerging strategic fields with a strong potential impact, avoiding the “basic-applied” polarization.
IFISC´s working environment is a complex system in itself seeking coherence and integration from diversity, interaction, scientific dialog, transversal structures, bridge building and selforganization. Research is therefore organized in terms of research lines, rather than research groups.More
The Institute for New Economic Thinking at the Oxford Martin School (INET Oxford) is a multidisciplinary research institute dedicated to applying leading-edge thinking from the social and physical sciences to global economic challenges.
The Institute includes over 60 affiliated scholars from disciplines that range from economics, to mathematics, computer science, physics, biology, ecology, geography, psychology, sociology, anthropology, philosophy, history, public policy, business, and law.
INET Oxford is unique in its ability to bring these multiple perspectives to bear on problems that include:
INET Oxford researchers work closely with policy-makers and leaders in business and civil society to bring new economic ideas and thinking into debates and practice in the public, private and non-profit sectors.
In addition to its applied work, INET Oxford conducts theoretical and empirical research on economic issues using innovative approaches and tools ranging from complex systems theory and agent-based modelling, to network analysis, novel econometric techniques, behavioural and experimental economics, and "big data" techniques.
INET Oxford was established in May 2012 as a result of a grant to the University by the Institute for New Economic Thinking (INET). INET is a philanthropic foundation based in New York that was founded in 2009 in the wake of the financial crisis to promote innovative, cross-disciplinary, policy-relevant economic research. INET Oxford is a part of the University’s Oxford Martin School, a community of over 300 scholars working on the major challenges of the 21st century . INET Oxford’s staff includes faculty members from across the University’s departments, schools and colleges, post-doctoral researchers, graduate students, and visiting researchers from around the world.
In addition to core funding from INET, the Institute is grateful for support for its research programmes from the Resolution Foundation, European Commission, Economic and Social Research Council (ESRC), Engineering and Physical Sciences Research Council (EPSRC), US Department of Energy, Rockefeller Foundation, Saïd Business Foundation, Dr. Otto Poon, and the Oxford Martin School Endowment.More
The ISI Foundation – Institute for Scientific Interchange – was established in 1983 by the Regione Piemonte. Its core mission is the promotion of scientific research within the international cooperation, fostering the creation of research groups and of innovative and interdisciplinary labs, with a special focus on the science of complex systems. The science of complexity pursues, among others, the aim of creating a new connection between basic and applied science in helping to face and solve some of the essential issues of contemporary society. The challenge of complexity has now become a sort of paradigm of modernity, and Torino and Piemonte have nowadays become one of the most important international locations in such fundamental research. Thanks to the support of the public founding members and to the continuous cooperation with the CRT Foundation (in particular with the Lagrange Project) and the Compagnia di San Paolo, the ISI Foundation was able to tackle, by new frontiers research projects, bold paths, settling itself among the main research centres for complexity. The success and richness of the research work at the ISI Foundation resides primarily in the “human factor” encompassing the scientific and personal value of its scientific and administrative staff, as well as the complex web of human relations that everyday brings the institute to life.More
The Institute of Economics at Scuola Superiore Sant'Anna (Pisa, Italy) carries out research and training activities in the field of empirical and theoretical economics. Its main lines of research include: - Economics of innovation and technical change - Decision making and change in organizations - Industrial dynamics - Complex systems and economic networks - Evolutionary foundations of macro-economics - Evolutionary finance - Technological change and economic history - Industrial and technological policies in industrialized and developing countries - Welfare and environmental economics The Institute of Economics welcomes and favors dialogue between empirical investigations, theoretical developments and normative contributions - concerning both corporate management and public policies - offering an interdisciplinary environment in which different research interests and competencies, ranging from Economics, to Mathematics and Physics meet and can be fruitfully integrated. Due to the participation to various national and international research projects, its researchers are well nested in an international network.More
The Laboratory for Structure & Dynamics, or LSD, is part of the Vermont Complex System Center (https://vermontcomplexsystems.org/). Our research tackles the coevolution of structure and dynamics in complex systems. Recent examples include theoretical work on interacting contagions, network comparison, spread of ideas and creativity, as well as applied projects on infectious diseases, how the shape of forests coevolves with forest fires, and how the structure of metabolic networks drive the organization of microbial communities.
The MoBS laboratory is home to research projects aiming at developing innovative mathematical models and computational tools to better understand, anticipate and control large-scale complex networks and systems. The laboratory, directed by Alessandro Vespignani, has joint affiliations with the Department of Physics, the Department of Health Sciences and the College of Computer and Information Sciences at Northeastern University.More
In the spirit of the motto "interdisciplinarity is dialog" the aim of the Lab is to face biological and ecological problems in collaboration with experts of the field. Not mixing our expertises, but summing them up. Our research spans from statistical mechanics to organization of ecosystems.
Emergent Patterns in Complex Systems
Universal scaling behavior is an attractive feature in statistical physics because a wide range of models can be classified purely in terms of their collective behavior whose characteristics depend only on few details like the dimensionality of the system and symmetries of the problem (eventually on the kind of decay of the interaction strength) but not on finer details. Scaling phenomena, as epitomized by fine size scaling, have been observed in many branches of physics,chemistry, biology, ecology economics and sociology. Our research interests include ecological and biological systems, physics of interacting particle, optimal transportation network, complex networks dynamics with applications on environmental science and sustainability.
Organization of Ecosystems and Dynamics of Evolution
Understanding the origin, maintenance and loss of biodiversity in ecological systems is a goal of the highest scientific priority given the rapidity of global biodiversity loss. Ecological communities exhibit pervasive patterns and interrelationships between size, abundance, and the availability of resources. Non-equilibrium statistical mechanics is the natural candidate to develop a unified framework for understanding the distribution of organism sizes, their energy use, and spatial distribution. We have demonstrated that optimal use of resources, both at the individual and community level, leads to a consistent scaling theory in plant communities which is well supported by observational data. We believe that variational/optimization principles, which have been so successful in physics, are also able to explain other commonly observed spatio-temporal patterns in natural systems (e.g. architecture of ecological interaction networks, species area relationship) and, eventually, predict new ones not yet discovered. Our research of complex living systems incorporates theoretical inquiry, modeling, and empirical study.More
The research unit Knowledge-based Systems (KERMIT) operates along three strongly interlaced research lines: knowledge-based, predictive and spatio-temporal modelling. The latter was established ten years ago in response to the growing interest in spatially explicit modelling of complex biological and natural processes and the growing availability of spatio-temporal data at micro- and macro-scale.More
CENTURI federates a growing community of biologists, physicists, mathematicians, computer scientists and engineers. Numerous teaching and research institutes are involved in our project. Interdisciplinarity is the core principle of the Turing Centre and is central to our activity in research, education and technology.
The aim of the Young Researchers Network on Complex Systems (YRNCS) is to bring together the Young Researchers working on Complex Systems. The idea is to create a community of Young Researchers and Scientists who will exchange ideas and consult each other, who can work together and build the basis of future collaborations. These exchanges should take place in a less formal way than in conferences which may be puzzling for Young Researchers, but still formal enough to retain the seriousness and productivity of high level scientific collaborations.More
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