This directory presents the profiles of 663 scholars, 311 labs and 250 organizations in the field of Complex Systems:
Its aims are to foster interactions between protagonists in the fields of Complex Systems science and Complexity science, as well as to increase their visibility at the international scale.
The topic of my research is " Global journalism. The West and the East: In Search of Common Ground".
I am interesting about the visual model of news in journalism as a complex system and to see news as a flow of information. Then I will aply the tools of nonlinear dynamics, complex systems to my model which allows me to see the stcructure of news of the Western(France, Germany) and the Eastern(China, India) types of journalism. This difference gives us infomation the difference between two parts of the world.
wavelets, dependence measure, brain connectivity, graphs, dynamics
Biologically inspired complex adaptive system e g game theory, Immune system, Multi-objective optimization
My research is axed on the modeling of decision process of farmers and impact of changes (technology or policies) on the sustainability of the systems (environmental, economic and social sustainaibility)
To understand scientific innovations in mathematics and analyze their impact within global academic systems and societies: namely, to write a book entitled, The Road to Social Reality
Complexity, mathematical modelling in ecology and social systems, evolutionary theory and modelling
environment, wetlands, appropriation, territory
I am interested in the network object (social, scientific, interbank) and in its dynamics. I want to identify and understand network mechanisms and I mainly used agent-based simulation to this aim.
Machine Learning, Artificial Intelligence, Gaussian Processes, Ergodic theory
Application of complex systems to social systems, simulation, stochastic optimization of complex systems
My research examines the way people contribute to organisational performance. I want to be involved and manage large-scale organizational projects in areas of safety, leadership, well-being, innovation, and productivity. In the meantime I want to collaborative projects with a range of industries including health, education, energy, mining, transport, and finance. In this context, I constantly improve and renew myself.
Saïd holds a PhD degree in Computer Science from P & M Curie Univ., Paris. He is an Associate Professor of IS at Télécom Ecole de Management, and is associate researcher at CRI Research Lab, Sorbonne University, France. In 2012, he was a visiting scholar at Lund University, Sweden, with the Software Eng. Research Group (SERG). His research interests include IS modeling, method and tools for IS development, service-orientation in IS, empirical software engineering, e-learning and e-government.
dynamical systems, delay equations, complex systems and networks, graph theory, systems and control, mathematical neuroscience and biology
We identify molecular interactions and trace their communication pathways on different time and length scales. We ferret out the relationships between local motifs and global patterns in complex networks with arbitrary degree distributions. These activities find technological applications in devising molecular machines, materials with designed-in properties, and system identification tools.
social systems theory, laws of form, second-order cybernetics
computer security risk assessment
Arts
Country pub lunches. Trains.
I'm mainly interested in modelling and simulating complex spatial systems. To do so, I explore new perspectives in geovisualisation, geocomputation and geosimulation.
Neural networks, Agent based systems, non linear simulation. Historical research, Prehistory, Archaeology, Anthropology
My 3-year postdoc with Prof. Jim Smith is called "Coherent inference over a network of probabilistic systems for decision support with applications to food security" in which we will find sufficient conditions for coherently drawing together the probabilistic judgments of different panels of experts distributed over a network and measures for the lack of coherence when full coherence is not possible.
I have been working in building a sociocognitive ecology of languages approach to sociolinguistic problems of human species. Right now I am interested in developing complex approaches to social and linguistic issues.
analysis of large networks, combinatorics, algorithms, large networks analysis, cluster analysis, social networks
my intersets now focusing on analyzing and modeling mobile data to make a conceptual view to city live features.
Systematic Political Science and its subsets
- Modeling and Simulation of Complex Cooperative Systems___- Study real complex socio-technical system______- Interoperability___- Component-Based Modeling and simulation___- Distributed Multiagent Systems___- Collaborative learning___- CSCW
Civil enginering (project management. Understanding the project as a complex system and develop new methods for its managementbased upon this understading.
I am in Math and my interest is currently captured by systems composed by a high number of nonlinearly interacting units. The aim is try and explain emerging collective behaviors and macroscopic features resulting from the microscopic interactions. The attempt can be done to describe the time-evolution of a distribution function over some suitable variable characterizing the units of the systems under consideration. The next step is the study of the resulting dynamics. The approach I took to handle the topic comprises the development of a general modelling framework (expressed by a system of stochastic game - differential equations), the construction within this framework of specific models and their study (performed with tools from nonlinear analysis, dynamical systems theory and computational simulations). The problems I dealt with up to now concern opinion formation, competitive and cooperative societies, and income distribution in different taxation and redistribution regimes.
accounting economics and law, finance, law and economics, sociophysics, econophysics, dynamic systems analysis, complex systems in economics and society
Application of complex systems to sociology and marketing
I am interested in theory of biological and cultural evolution (also memetics), complex systems and related subjects in biology, social science and linguistic.
Currently my most important job and method are computer simulations - I use C++, Delphi, other Pascal compilers, sometimes Java and Action Script 3.
modelization of the complexity of legal systems
legal system as a dynamic complex system
evolution of caselaw (ontology & langage)
Systems of governance and regulation
creative commons and complexity
Legislation & contracts (cloud computing) with drafting tools
environnement et biodiversité : comme systèmes
cognition, social cognition, genetic networks, neural networks, social networks, embryogenesis, morphodynamics, cognitive economics, learning and adaptive systems, artificial life, mathematics, theoretical computer science, statistical physics
Evaluation of model
Geobotany, mapping, distribution of invasive alien plants, biodiversity
My primary interest is devising machines which express biological behavior. In particular, self-replication, self-repair, and physical machine ontogeny. There is now in existence one such human artifact, and it expresses growth behavior.
Dynamical Systems, Complex Systems, Social Systems, Biology, Networks
Entreprise simulation, complex situations explored as serious games, GTES: Game-theoretical and Evolutionary Simulation. I study the influence of enterprise organization and process methods and commmunication on performance.
phylomemies
My research focuses on measuring and understanding complex phenomena in systems that entangle technological and social factors, such as online social networks and human contact networks, with applications to social media analysis and modeling, digital epidemiology, data science, and more.
Small group dynamics non-linear effects on performance, in particular how in-group diversity may influence variance of performance. Emergence of managerial and entrepreneurial behaviour.
System and System of systems Engineering___Verification, Formal approaches, combined approaches___System modeling frameworks
Evolution
Transcriptome analysis
System Biology
genetic and metabolic regulation networks
Intracellular symbiosis and evolution
Data Optimisation, Visualisation Data for Decision Making
David Chavalarias is CNRS Director of Research at the Center of Social Analysis and Mathematics of EHESS. His research is situated at the crossroads between cognitive sciences and complex systems sciences, which he mobilizes for the study of social and cognitive dynamics, both from the point of view of the modeling and the reconstruction of social dynamics from large scale Web data. His highly interdisciplinary work focuses on the modeling of cultural dynamics and socio-semantic networks (academic, press and web), cognitive economics, quantitative epistemology, scientific discovery processes and the visualization of information. He has also initiated several software projects for the analysis of knowledge dynamics and their visualization. David Chavalarias his the Director of the Complex Systems Institute of Paris Ile-de-France and former vice-president of the Complex Systems Society (CSS Service Award in 2014).
Modelling and simulation of complex systems. Development of methods and software for simulation experiments.
Complex systems science and applications in healthcare and social sectors
Scholarly activities aside, I love the outdoors and socialise widely. Fine dining is a passion too, so is fitness training and Aikido. But art and science is what I like best.
Cognitive Systems - Cellular Automata - Artificial Evolution
Coordinator of the Digital Campus on Complex Systems of the Strasbourg University (CNSC Strasbourg)
Using massively parallel GPGPU hardware to simulate, model, predict complex systems
Complexity,social network analysis
Innovation for any organisation as a sustainable process
L'équipe de recherche pluridisciplinaire Presence & innovation est basée à Laval. Elle fait partie du Laboratoire des Arts et Métiers ParisTech d'Angers et regroupe des chercheurs d'Arts et Métiers ParisTech et de l'Université d'Angers
Nature Inspired Computation, including Evolutionary Algorithms, Self-Organized Systems, and Computational Biology. Machine Learning including Data Science. Complex Systems.
Dynamics and Control of Complex Systems with Applications to Technologic (Robotics, Mecatronics), Industrial (Steel, Commodity and Oil Industry, and Sciencific Domains (Grids, Biology, Chemistry)
Neural Networks, Statistics, Kohonen Maps, Data Analysis
Biomathematics : Stem cells differentiation and maturation processes, Blood cell production (erythropoiesis, leukopoiesis) and blood diseases (Chronic Myelogenous Leukemia, periodic blood diseases); Stability, Bifurcations, Asymptotic behavior (PDEs, DDEs).
Epidemiological modeling, Network models
reaction diffusion models and spatial theories
Cedric de Coning is a research fellow with NUPI and a peacekeeping and peacebuilding advisor for ACCORD. He is also a special advisor to the Head of the Peace Support Operations Division of the African Union, and a member of the Advisory Group of the UN Peacebuilding Fund.______His research interests include emerging powers (BRICS, IBSA, South African foreign policy), interventions (how transformative should they be_), peacekeeping _ peacebuilding (linkages, trends _ challenges), coherence (inherent contradictions and constraints), civil-military coordination and civilian capacity. Theoretically he is interested in the implications of Complexity for international relations in general, and for peacekeeping and peacebuilding in particular.______De Coning has a Masters degree in Conflict Management and Peace Studies (uKZN) and a PhD in Applied Ethics _ Philosophy (uStellenbosch). He started his career as a South African diplomat in Washington D.C. and Addis Ababa, and he has been with the OAU in Algeria, Ethiopia and Sudan, and with the UN in East Timor and in New York. He serves on the research board of CMC Finland and on the editorial board of the journal Peacebuilding.
I am mainly interested in complex systems and in exploring hidden patterns in real-world systems. I can not hide my genuine love for theoretical physics.
I'm currently a PhD student in the Theoretical Physics Centre (CPT) in Marseilles My current research activity focuses mainly on the thermodynamics of long-range statistical models on networks. I'm also interested in theoretical models for the brain structure and I'm currently involved in a collaboration on these topics.
Senior Researcher in EDF R&D
Multi-Agent Systems, Artificial Intelligence : Applications, Emergence, Evaluation, Learning, Methodology, Organisations, Privacy, Trust, User-Centring.
TJYD obtained his PhD at Aix-Marseille University (France) in continuum modeling of laser-matter interaction with Prof. T. Itina. After developing further the theory of periodic structure formation with Dr Jörn Bonse (BAM, Berlin), he obtained a Marie Curie Individual Fellowship in the group of Prof. N.M. Bulgakova (Hilase, Prague) to develop further the theory of intense laser interactions with matter jointly with the group of quantum dynamics of Prof. Angel Rubio (MPSD, Hamburg).
Emergence of honest communication, Origin of language, Relevance as complexity drop
Extract concepts, algorithms and design patterns from existing complex adaptive systems and reuse them to construct artificial systems featuring similar characteristics.
Mathematical Biology
Dynamical Systems
Complex structures, chaos and self-organization in plasma physics
Modeling and simulation of complex engineering systems, including fracture-mechanical problems, transport processes in physics and the geosciences, and Applied Physics applications. Analysis, design and development of embedded system software (mainly in the automobile industry and adjacent sectors). Application of numerical methods to the beforementioned areas (finite elements, Monte Carlo simulation, non-linear modeling of feedback and control systems, discrete modeling, etc.). Network analysis (industrial applications, Industry 4.0, social systems, etc.). Within the CSS community: 1. Council member for the 2012 to 2014 period. 2. Until early 2015, participation in the development and setting up of one of the web sites of the Complex Systems Digital Campus (CS-DC). 3. Member of the Programme Committee of CCS 2016. 4. Tutoring industrial customers on complex systems (theory and practical aspects).
In the vast land of complex systems, I commute back and forth between computational biology and bio-inspired computing. On the way, I founded the field of morphogenetic engineering (ME), which explores new methodologies to model and create complex architectures that self-organize from a swarm of heterogeneous agents, in particular by development. Such emergent structures can be modular robots, synthetic organisms, or large autonomic networks of computing devices.
I am interested in the dynamics of and on networks, in particular biological and electricity networks. I like to develop models for real life problems
Links between social psychology and social simulation
Multi-agent systems, socio-cognitive modelling, agent-based social simulation, crisis management
Social simulation, application of social mechanisms in computation, evolutionary models of society, measures of complexity, methodology of modelling, cognitive models of context, socially situated intelligence, and everything else.
I am currently an EPSRC Doctoral Prize Fellow at University of Bristol (UK), and a Visiting Professor at the Stevens Institute of Technology (USA). My current work focuses on the application of network science to project robustness_resilience. More generally, I am interested in the broad application of Network Science and Mathematical Modelling to a variety of engineering challenges, including Project (Risk) Management, Team Performance and Supply Chain Management. I have an MEng (Hons) in Civil Engineering and an EngD in Systems Engineering
Systems biology of host-pathogen interactions
Complexity in Economics, Chaos Theory, Control of Chaos Theory
statistique et changement d'échelle
analyse de sensibilité de modèles pour la meta-modélisation
asynchronous cellular automata _ stochastic cellular automata _ multi-agent systems
Machine Learning, embryogenesis, morphodynamics, adaptive systems, artificial life, cognition, genetic networks, neural networks
Management of dairy systems
Information visualization, social networks, evolution of the sciences
Research Interest: Complexity theories and their applications in real-world problem solving, such as climate change, social issues and health care. Short Bio: I_m a passionate-for-life-and-dedicated-to-work Complexity scientist with backgrounds in Climate Dynamics (PhD degree), Complex Systems Science (Double Master degree), and Environmental Science (Master degree). I have lived in 6 countries (CN, UK, FR, NL, DE and IL) and visited many other places through studies and traveling. My inter-disciplinary and multi-cultural experience shaped me into a proactive team-player, who is fast in learning and adapting, and efficient in communication and coordination.
Complexity Measures, Information Theory, Game theory, Social Networks, Multi-Agent Systems, #eccs13
Synchronization Phenomena in Protocell models
Stochastic Catalytic Reaction Networks
Emergent Behaviors
Technology Diffusion Dynamics
Music, Mathmatics, General Science, Robotics, Micro-controllers and sensors
Development and plasticity of the CNS in humans and animals.
The Political Economy of Underdevelopment, African Studies, World-system, Marxian analysis (the labor theory of value and the falling tendency of the rate of profit as an explanation of recurrent systemic crisis), Dialectical thinking.
modeling of biological, physiological, metabolic and nutritional systems
Je m'intéresse à la théorie de la viabilité et en particulier à l'analyse morphologique et mutationelle , ses motivations, et ses applications aux sciences cognitives, à la morphogénèse, aux systèmes complexes, sans oublier les développements mathématiques et algorithmiques de cette théorie.
Biosensors, Reconfigurable Control Theory, Adaptive and model predictive control, Control algorithms for AFM, Artificil Intelligence, Artificial Neural Networks, robotics, sociology.
Interactive and Dynamic Simulations of Complex Systems, System Dynamics, Economics, transport economics
Statistical mechanics, Random graphs.
Central subject of interest are ecosystem and landscape functionning.
I am a postdoctoral reasearcher in the Complex Networks team, at the computer science laboratory of Paris 6 (LIP6) since December 2018. My work at LIP6 is focused on designing methods for the automatic detection of anomalies in large sequences of interactions. I also have a strong interest in the study of social systems relying on the blockchain technology.
I am an Associate Professor (Maître de conférence) in Computer Science at the Paul Sabatier University in Toulouse, France.
My speciality is Artificial Intelligence and more precisely Emergent Problem Solving using Cooperative Self-Organization and Multi-Agent Systems.
self-organizing systems, evolutionary transitions, distributed cognition, evolution of cognition, artificial societies, behaviour-based systems, complexity theory, philosophy of science, philosophy of mind, metaphysics, ontology, paraconsistent logics, artificial life, random boolean networks, virtual laboratories
In the Theoretical Climate Dynamics (TCD) group we study climate dynamics on all time scales -- from intraseasonal, through interannual and interdecadal, to millenial -- using the methods of dynamical systems theory. We apply these methods to observations, numerical models, and experiments concerning the climate system -- the atmosphere, ocean, bio- and cryosphere -- through collaboration with researchers in North America and on other continents. Our group is led by Prof. Michael Ghil of the Department of Atmospheric and Oceanic Sciences and Institute of Geophysics and Planetary Physics (Center for Earth Systems Research) at UCLA.
Population dynamics, Monte Carlo simulations, models for water
I am training students (of High-School and University level) about complex systems in Nature and Ecological Complexity, mainly Using NetLogo as atool of instruction.
I am working in the Faculty of Primary Education, University of Athens, GREECE.
Dynamics on complex networks
http://www.upetec.org
My research activity focuses on using computational, visualization and data analysis methods for the study of Complex Systems in a multidisciplinary context. Current projects include detailed epidemic modeling in structured populations; knowledge diffusion on large technological networks; and the study of human behavior through the analysis of proxy social network dynamics
Research and development of emergent local knowledge communities in México and Latin America. An action research methodology for the study of knowledge generation from communitarian organization in a distributed cognition social form confronting a practical problem.
Educación y temas relacionados con Complejidad e Investigación Transdisciplinar
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Complejidad y Transdisciplinariedad Educativa, ecoformación, formación en cuarto grado en el paradigma emergente.
Presidente de la Cátedra de Complejidad y Transdisciplinariedad Educativa
Valerie Gouet-Brunet has been research director in the LaSTIG Lab. of the French Mapping Agency (IGN) since 2012. Since 2014, she has been the head of the MATIS research group of the LaSTIG, which is dedicated to research on computer vision, photogrammetry and remote sensing for terrestrial, aerial and satellite imagery. Before, she was assistant professor at the Conservatoire National des Arts et Metiers in Paris, France. She obtained her PhD in Computer Science in 2000 from the University of Montpellier, France and her habilitation to direct research in 2008 from Pierre et Marie Curie University, France. _Her area of research includes content-based indexing and retrieval (CBIR) of collections of image and video contents at large scale, with a focus on local image descriptors, on the representation of spatial relationships and on multidimensional index structures.
Research, design and presenting novel policy solutions working across issues at global scale.
Social theory
Social networks
Social dynamics
practices of the internet (sociology and measures), cyber-geography, history of (scientifical) writing, technologies of the intellect of today, epistemology
I am interested in working on interdisciplinary topics that combines distributed problem solving with other domains like multi-agent systems, collective intelligence, self-organization and self-adaptation, simulation of biological systems, distributed clock synchronization, economy and law.
Computational neuroscience, dynamical systems, addiction research, stochastic differential equations.
The application of a complexity science framework to multi national business. An interesting project I'm working on at the moment is a cultural change program for Probusinessbank in Russia
Application and Development of nonlinear methods and models for the behavioural sciences:______Developmental Psychology___Brain research___Action and Perception
Ordered networks (e.g. industrial processes, lifecycle analysis). Maximum entropy. Power flow. Economic network.
...obtaining adaptive, self-healing, self-replicating and ultimately living systems (and materials) using molecular self-assembly under far-from-equilibrium conditions.
A complex system that comes from science, engineering or industry can be represented by a mathematical model constructed by a process of abstraction including the formulation of a hypothesis and simplification, the modeling of the behavior of the elements and subsystems of which it is composed, as well as the interactions which exist between those elements. This process generates highly complex analytical models which make it necessary to carry out a detailed numerical study to improve, verify and validate these models. The numerical study is developed by means of large scale simulation and visualization which require the fast and efficient processing of complex algorithms and large amounts of information.
I_m a physicist, associate professor at Cergy Pontoise University since 1993, I did my undergraduate studies at Buenos Aires University, I have obtained my PhD in Physics in 1993 at the Institut Nationale des Sciences Appliquées (INSA) Toulouse, France and my HDR (Habilitation to Conduct Research_ French diploma) in 2015, at Cergy Pontoise University. I_m involved in several organizations that promote and develop the study of Complex Systems. I_m a member of the Direction Board of the Institute of Complex Systems of Paris-Ile-de-France (ISCpif). I_m also a Councilor of the Complex System Digital Campus (CS-DC Unitwin UNESCO). and of the Complex Systems Society (CCS). My research interests go from the study of complexity in Physics, as in Phase Transitions or Disordered Magnetic Systems, to the study of Complex Systems in other fields like Ecology or Social Sciences, with the tools and the point of view of Physics. I have created (2009) and directed until 2015, the Complex Systems Path of the Master Theoretical Physics and Applications, double diploma program in association with the Universidad de Zaragoza, Spain, that had obtained the label of _French-Spanish Master_.
Nonlinear Science, Statistical Physics, Chaos, and their geophysical and biological applications
Econophysics, Sociophysics, biological systems, Network Science.
I focus on the emergence and evolution of complex organization:
How does a collection of autonomous, but interacting, agents self-organize? How does it evolve to an increasingly cooperative, adaptive and intelligent system? What does such spontaneous evolution imply for our scientific worldview?
Multi-Agent Systems, Holonic Systems, Organisational theories, Formal methods
Analyse Non Linéaire des Equations aux Dérivées Partielles -- Analyse Numérique
Modélisation mathématique en
biologie, médecine, chimie et
milieux poreux
Biological evolution_ self-organization_ social systems_ behavioral ecology
Complex Systems, Intelligent Agents, Evolutionary Agents, Intelligent Distributed Systems, Evolutionary Computation, Medical Systems, Biomedical Computing, Medical Informatics
Econophysics, sociology, traffic modelling, networks
Extracting meaningful information from DNA
data quality and uncertainty, geographic information
Statistical Mechanics Complex Systems. Evolutionary dynamics, Record dynamics, Network dynamics, EEG analysis of music
author of "New Thinking in Complexity for the Social Sciences - A Gnerative, Transdisciplinary Approach". Now busy with new book about "A New Science of Complexity" which encompasses a general theory of complexity, linking complexity with network thinking.
Complex Systems_ Cognition and Neural Systems, Systems Biology, Social Systems Theory_ Mathematical Methods, including Dynamical Systems, Information Theory, Network Theory, Calculus of Variations, Partial Differential Equations_ Formation of Structure, Emergence, Autonomy, Differentiation
Complex systems modelling and simulation of brain development
nonlinear dynamic modelling in macroeconomics
econophysics, differential equations
Cognition, Economic systems, Social systems, Design, Architecture
Agent-based modelling
Turbulent mixing: scaling and geometrical complexity of passive scalar fields and droplet nucleation in warm clouds; complex systems in geology, biology and finance: mathematical modelling and scaling laws
Dynamic networks, Social network mining
Software Engineering, Adaptive Systems, Cyber-Physical System of Systems
complex adaptive systems in skeletal muscle and myopathy, traumatic brain injury
Understanding the structure and function of comeplex systems by exploring the underlying network structure and the processes taking place on them. Characterizing temporal networks, especially spreading phenomena on them. Analysing and modeling multiplex networks and cascades on them. Revealing the laws of cooperative value production.
Physical, biological and social systems
Modelling complex systems
Mathematical Biology
complex self-adaptive systems, social systems development, design science, gaming & simulation, situated learning and cognition, game design and assessment.
See "The magic circle: Principles of gaming & simulation". SensePublishers: Rotterdam, Third Revised edition 2009.
Complex systems in general; statistical physics of random systems, in particular spin glasses; quantitative finance, portfolios, estimation error, systemic risk.
Modeling Complex systems, understanding phase transitions in natural phenomena.
Theory of Complex Systems_ Network Analysis_ Algorithms and Complexity_ Programming Languages for Social Systems
interfaces, epistemology, creativity
My research activities focus on the applications of non-equilibrium statistical physics to soft___matter and biological systems. I am generally interested in the___field of stochastic thermodynamics, and in particular, in the question of extracting relevant___information from the non-equilibrium fluctuations of complex systems.
I work on scalable methods for the analysis of complex systems. Information theory provides interesting measures for data aggregation, thus allowing to reach macroscopic description levels of complex data. I am interested in the application of such approaches to social systems, and in particular to the study of mass media, social media, and geographical information.
Complex systems
Cognitive sciences
Psychology
Multi-Agents for modeling Complex Systems
Dynamical approaches of representation and cognition
Natural optimisation
Complexity in astrophysics
1.To apply in a rigorous way the categories, methods and techniques of the Complex Systems Approach and the last theoretical advances of the Social Sciences to the scientific analysis and solution proposals of social problems, particularly the problems of developing societies.
2.To develop a methodology to optimal selection and adequate implementation of the Complex Systems Approach to problem definition, theoretical and methodological frame selection and solution process of specific social problems.
3.To evaluate the applicability and relevance of Complex Systems related theories and methodologies to improve the decision-making process for solving social problems.
4.To propose research lines to extend the application of these theories and methodologies to new social problems.
I am currently doing a postdoctoral fellowship at Stellenbosch University, South Africa, on the development and application for conservation and invasion management purpose, of spatially explicit measures of biodiversity, especially zeta diversity, a novel measure that unifies the principal incidence-based community and macroecological patterns. Using such measures, I also investigate how biodiversity emerges from dispersal and niche processes in communities and metacommunities. This postdoc is in line with my recently completed postdoctoral fellowship at Monash University, Australia, on the process-pattern relationship in invaded plant communities. During this postdoctorate, I used individual-based models to investigate the interactions between neutral and niche colonisation processes, I developed analyses on indices of biodiversity and their relationship with environmental variables, and I contributed to the development of methods to characterise biological invasions. Prior to this appointment, I completed a six-month postdoctoral fellowship on the statistical downscaling of climate models, and a PhD on the dynamic modelling of caribou, moose and wolf movements, in Canada.
Optimization and control in complex networked systems
(nonlinear) Control and Synchronization of complex systems
Chaotic/hyperchaotic systems
Chaos cryptography
organizational and system uncertainty, control, decisions, metrics, and mathematical models of the physics of the conservation of information.
Evolution of Social Behaviour
Multilevel networks _Dynamic networks _Network literacy _Organization _Epistemic networks _Norms _Mobility
modelling and understanding generic aspects of living systems/ comparative application to several fields (fisheries, small rodents, scientific knowledge) / currently http:/simmasto.org
Complexity theory, ecological complexity, nonlinear dynamics, modeling human-environment interactions, global change
I am interested in predicting the unpredictable. Even though people do not always optimize their decisions relating to their preferences and act accordingly, their behaviour still seems to some degree predictable. One component influencing their behaviour and decision-making processes is path dependency. When performing alike actions that can be observed as a path, it would be inefficient for the brain to run full optimization processes all over again and again. So actions instead get habitualized and institutionalized. But if then a new situation appears like climate change, financial crisis, a flooding, or a new product on the market, people tend to keep up old routines or tend to follow others in their behaviour, because by then it might have proven successful and quicker than computing new routines oneself. Phenomena like e.g. herding, swarming, or increasing risks for cascades may result. Thus, to the degree agents are affected by path dependency, social dynamics can be predicted.
Generally, I am interested in the assessment of the impacts of climate change on economic and social systems. In order to address these questions, I work on the development and application of bioeconomic and agent-based simulation and optimization models. Since much of the model input consists of georeferenced data, another fascinating aspect of my work is the coupling between optimization models and geographic information systems. Thus, in my recent research I focused on the modeling of the consequences of changes in the Atlantic thermohaline circulation on the marine high seas fisheries in the North Atlantic and the global and local implications of agricultural land use changes for the production of biofuels. In current work, I look at the implications of changes in water availability in the Nile River basin for the allocation procedures of water resources among the riparian countries. Such models can help local agents pursue action paths that increase the likelihood of cooperative solutions to climate change-induced challenges instead of leading to conflict.
My current research endeavors are focused primarily on the projected long-term effects of adaptive intersexual selection mechanisms, expressed in terms of constrained evolvability within and between populations, which I believe to be structurally homologous to the projected evolutionary trends that emerge from the late Collin Martindale_s most recent model of the psychodynamics of creative ideation and aesthetic reception (Martindale, 1990, 2009).
Interdisiplinary team management
I study the social organizacion of Mesoamerica with fractal properties. I use archaeology, anthropology and ethnology with a transdisciplinary look, for modeling the basic unit of social organization, the Altepetl.
I am publishing with the Sociedad Matemática Mexicana and the Facultad de Ciencias (UNAM) a book serie called Antropologia Fractal.
Physicist and PhD in Earth Sciences (no-nonsense applied math). Currently i_m a Cátedras CONACyT research fellow at CONABIO. My work is basically about ecological complexity to understand ecosystem health as a function of State_Integrity_ Dynamics_Criticality_ and response to perturbations_Antifragility
chaos, complexity, dynamical systems.
Interactive optimisation, interactive modeling, interactive evolutionary computation, cooperative co-evolution, visualisation, food science, signal and image processing, fractals _ art applications.
Complex Networks (Internet topology, Social Networks, Interaction networks, ...)
Measurement, Analysis and Modelling of these networks.
Study of the dynamics of these networks.
None
heart rate regulation, sinoatrial node, cellular automata, heart rate variability
I work on non-linear systems focusing mainly on non-classical logics. I also work on biological hypercomputation, and non-equuilibrium thermodynamics.
I conduct research in the modelling and simulation of Vector-borne disease in urban area. More precisely, I am working on the Dengue dynamics in two sites endemic India and Thailand.
The topic is concerned with problems in understanding the influence of the different parameters, concerning the environment, mosquito or human, on the epidemic dynamic.
But here, I am more particularly interested in the studying of mosquitos' behaviours and environment.
To achieve these objectives, I am interested in Multi agent-based modeling.
How complex systems approach and its development/application can articulate with the social experimentation and with the practice of scenarios thinking and planning. How they might be better related/co-evolve in order to help private and public policy makers.
Neuroimaging, Computer Vision, Brain development, Cortical folding process, Brain connectivity, Markov Random Fields
Dr. Maniadakis Dimitris holds a B.Sc., M.Sc. and Ph.D. degree from the Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens. He has been a Research Associate at the University of Athens, participating in European and national R_D projects. His research interests lie in the fields of ICT infrastrucure complexity and network science. He regularly serves as a reviewer for international scientific journals and conferences. Currently, he works at the Telecommunications, Networking and Computing Infrastructure Directorate of the Technical University of Crete, Greece.
Public Health and Primary Care, E-health, Chronic Care. Principal Investigator, National Digital Research Centre (NDRC), Dublin, Ireland - an independent organisation formed by a consortium of Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), Dun Laoghaire Institute of Art, Design and Technology (IADT) and the National College of Art and Design (NCAD).
Associate Professor of Family Medicine, Northern Ontario School of Medicine
transcriptomics, transcription, chromatin, R_Bioconductor, data analysis, nuclear receptors, liver, metabolism, metabolomics, toxicology
Cellular automata, artificial life, collision theory, unconventional computing, natural computing, excitable systems, complex systems, and computer science
evolutionary computing and system design
- Evolutionary and systemic approaches to meaning and cognition.
- Evolutionary scenarios regarding the nature of mind and consciousness.
- Trend to increasing complexity
None
Modeling, simulation, declarative languages, topological rewriting, morphogenesis.
Applied Economics and Econometrics_ Nonlinear Time Series Analysis_ Financial Instability_ Behavioral Economics and Finance_ Business Cycles_ Economic Policy Issues_ Complex Networks
Complex Systems Modeling, System Dynamics and Simulation, Decision Support Systems, Informatics and Models Supporting the Sustainable Development
System biology
complex systems and networks, epidemiology, mathematical biology, systems biology, evolutionary dynamics, statistical mechanics, synchronization processes
Aïkido Spirituality
Living Systems Sciences & Applications; Collective Intelligence & Futures' Studies; Design Research & Advanced Visualization
Undertaking in-depth research on advanced computational systems to support a wide range of complex applications enabled _ enhanced through networking in industry and defence sectors using systems metamodelling based on knowledge analytics, and semantics as well as web infrastructure protection, information security, risk, resilience and harmonisation of the legislation for the advancement of ICT. This is leading to practical solutions enabling innovation and competitiveness of industrial companies as well as scientific publications such as journal papers, book chapters and conference contributions.
robustness in scale-free networks
Sensory Biology, Cognitive Sciences, Robotic, Enaction
nonlinear dynamics, chaos
synchronization, complex networks, causality, information theory, neurodynamics, geophysics
My research currently focuses on the use of technology and social media to develop the so called participatory epidemiology, a new branch of epidemiology based on the contribution of the general population to collect epidemiological data on a large scale and in real time. I am also working on the study of human contacts and mobility networks.
Developmental Psychobiology, Behavioral neuroscience, Neurobiology, Computational Neuroscience, Computational Social Psychology.
At the European Center for Virtual Reality (CERV, Brest), we aim at building the virtuoscope : a virtual lab for studying models for complex systems. I aim to develop enactic : a methodology for building the virtuoscope that uses enaction paradigm at the level of models involved in the phenomenological knowledge of a particular domain. I've applied it to remote observation of sea states, Earth's thermal history and virtual sailing. It seems that the way by wich we creates autonomy based phenomenological models for natural phenomena also produces simulations that are of great interest for teaching.
Parallelisation and Distribution of multi-agent systems
I am a CNRS research fellow, working at LaTTiCe (Langues, Textes, Traitements informatiques et Cognition). I mainly work on Natural Language Processing (NLP), especially on the following topics: Information Extraction, Question Answering, Semantic Zoning, Knowledge Acquisition from text and Named Entity tagging. Apart from NLP, my main interests include Language Acquisition, Cognitive Science, Epistemology and the History of Linguistics.
Numerical methods; Finite element; EDP
Graphic Design, Astronomy, Photography
The main directions of activity are:
1.Scientific researches in the fields of economics, sociology, education . http:/spkurdyumov.narod.ru/Solov.pdf http:/www.iph.ras.ru/~spts/S_ref.htm http:/iee.org.ua/ru/pub/p120 (in Russian)
2.Education and training http:/ecsocman.edu.ru/db/msg/148085.html (in Russian)
3.Popularization of the ideas of the theory of complexity among managers, policy-makers and general public http:/www.innovations.com.ua/uk/articles/4/22/656
4.http:/www.idea-magazine.com.ua/archive/11041.html http:/experts.in.ua/baza/analitic/index.php?ELEMENT_ID=16411 (in Russian)
The main problems under consideration:
•Social self-organization and social self-destruction
•Social barriers to self-organization processes
•Self-organization of reality via self-organization of virtual reality
•Path-dependent economic evolution
•Long-term and short-term social constructions
•The processes of socio-economic self-organization in Russia and Ukraine.
Popularisation of the ideas of comlexity
I am Director of Cybergeo, European Journal of Geography (www.cybergeo.eu). Former Chair of the Commission on Urban Development and Urban Life of the International Geographical Union (1992-2000), founder (1984) and Director (1992-2000) of the research laboratory P.A.R.I.S. (UMR Géographie-cités, CNRS), I am since 2006 director of the European Research Group S4 (Spatial Simulation for Social Sciences, www.S4.parisgeo.cnrs.fr), honorary director since 2011. This network is one of the projects of ISC-PIF. I am specialised in urban modelling and theoretical geography. My main scientific contribution is about building an evolutionary theory of urban systems and transferring concepts and models from self-organising complex systems towards social sciences. My last books "Hierarchy in natural and social sciences" and "Complexity perspectives in innovation and social change" are published by Springer in 2006 and 2009 in the Methodos Series.
Complex systems (modelling and simulation).
Modelling and simulation of microbial ecosystems, up to decision support tool based on optimization and control theoretic approaches.
Human complex systems
agent based simulations, supply networks, transport processes, self organization, emergence
macroeconomic dynamics
Theoretical and Conceptual Analysis on Natural Sciences; Emergence of basic properties in Living Systems; Nature of Biological Evolution; Interrelate Biological Functions, Biological Information and Network of Molecular Processes; Architecture of the Brain and Emergence of Cognition in Evolution.
Juan C. Rocha is a postdoctoral researcher at the Stockholm Resilience Centre and the Beijer Institute, as well as a visiting scholar at the Princeton Environmental Institute and the MIT Media Lab. His research questions are oriented to understanding critical transitions: from regime shifts in ecological systems, to collective action in society. Currently he is focusing on the idea of cascading effects, this is how a critical transition in an ecosystem in the world can increase or decrease the likelihood of another ecosystem tipping over. He develops mathematical models to explore the parameter space at which these interconnections are plausible. He is also looking for empirical signatures of cascading effects on trade networks and rainfall transport dynamics. Juan is interested in methods for identifying resilience surrogates -good observables that can tell you how resilient a system is- as well as misperception of feedbacks and their consequences. He finds inspiration in complex systems science, and the use of mathematical models, networks and other computational methods to understand social and ecological complexity.
Social networking, Web 2.0 applications, innovation networking, virtual Infrastructure modeling, endogenous development
common tools and methods for large networks arising in various complex systems fields
Céline Rozenblat researches are widely directed on the relations between evolutions of powers and values and networks dynamics into systems of territories. In order to develop these topics in a comparative point of view, she built many large database on European cities and on networks since 1987. In particular, the question of comparizon was extremely delicate for European cities and she produced with Pumain and St-Julien, Cattan "the concept of cities in Europe" for Eurostat (1991). She built since 1990 representative database on located multinational firms networks leading her to deal with territorial dynamics and actors' strategies in the same time. This duality obliged her to rethink multi-level approaches in geography, largely inspired by sociology of networks and physics. Diachronical and dynamic studies supply materials to develop spatial and dynamic models, simulations and vizualisations.
Investigating Artificial Intelligence as emergent property of complex systems. Designing adaptive business processes. Designing complex adaptive software.
I am mainly interested in the qualitative analysis of differential systems. In particular, I have written papers about: -) existence and multiplicity of limit cycles -) centers_ period function -) global invertibility of locally invertible maps -) symmetries of differential systems.
complex system engineering
I am interested in the development of new computational models, inspired in the cognitive behavior, with the purpose of improving engineering tasks
1.2 Physical Science Statistical and Nonlinear Physics 2.2 Electrical Engineering Photonics 5.2 Economics Game theory and agent modelling 5.4 Sociology Dynamics of Social sytems, opinion formation, agent modelling
Complex networks
Sociotechnical systems
Applications of complex systems and evolutionary dynamics in biological and socioeconomical contexts
Distributed systems, multi-agent systems, Systemics, complex systems, cognitive systems
Complex, large-scale, distributed, intelligent control systems.
complex system, simulation, multiagents, multi scale, multi modelling, celullar automata, interaction, behaviour, 3D, interactive simulation
Complex Dynamical Networks: State-topology coevolution in adaptive networks, generative network automata, social network evolution, network analysis, modeling and simulation___Artificial Life_Chemistry: Collective behavior of swarms, self-replication, self-repair, morphogenetic engineering, cellular automata, pattern formation, artificial evolutionary systems, open-ended evolution, nature-inspired computing___Human and Social Dynamics: Collective human decision making, team and organizational dynamics, mental model formation, irrational behavior, agent-based modeling and simulation___Interactive Systems: Interactive evolutionary computation, interactive educational tools, interactive media art
Nonlinear Processes and Systems in Geophyssics and Environment, Scaling, Multifractals, Turbulence.
Objects : abstract systems, biological,cognitive, social systems
Questions: complexity concepts, decomposability, reverse engineering, explanation, ontology and epistemology
Modeling and analyzing complex discrete systems (SAT, CSP, NP-complete and above problems).
philosophy - epistemology - ethics
Modeling molecular evolution provides the key to a bottom up approach towards complexity in evolution. The tools used to achieve a better understanding of evolutionary processes are: differential equations, stochastic processes, computer simulation, and sequence-structure relation of biopolymers, in particular RNA
collective dynamics in biological, social and economic systems, selforganization and structure formation, multi-agent systems, dynamics of organizations, transfer of methods from statistical physics to the life and social sciences
Emergence, stigmergia, artificial Intelligence, Artificial Life. Managing Direftor Board of Strate School ofg Design, a private school devoted to design, I created the Research lab of the school in 2010. I also created the _Interactive systems and objects_, a department devoted top intelligent systems and objects design in 2007.
I am interested in the relationship between cognition and society. I work in the domains of cultural evolution, collective behavior, social learning and communication. In particular, I investigate how the interaction between individuals_ cognition and social structures affects the emergence of collective patterns of behavior. Some of my current projects involve social network connectivity effects on the dissemination of cultural variants, cognitive biases influences on the emergence of cultural conventions, research on the underlying mechanisms of cultural change and cultural diversity, the co-evolution of institutions and value systems, and the evolution of language. My research uses both computer modelling and experiments in the lab. I am currently a CNRS postdoc researcher at Complex Systems Institute (ISCPIF). Previously, I completed my PhD in Cognitive Science and Language at the Universitat Autònoma de Barcelona. During my PhD I obtained relevant training in cultural evolutionary methods: a significant part of my research was developed during researchs visits to the Centre for Language Evolution (University of Edinburgh) and the Laland Lab (University of St. Andrews).
supply chain complexity
My special interests are auto-scalable, highly-available, and real-time Web and mobile applications by using bleeding-edge technologies such as Node.js, Socket.io, Express.js, Redis, and MongoDB. I am also working on real-time processing in Big Data by using Apache Shark and Impala along with batch processing by using Apache Hive on Amazon EMR Hadoop clusters and Cloudera Manager. Machine learning, building recommender engines by using Apache Mahout, and visualizing Big Data in realtime streaming from social networks especially Twitter on geo-location maps are my other interests.
metaheuristics
Research interests: co-creating inclusive and interoperable smart urban service systems meeting citizens_ needs. Particularly interested in different life cycle stages of urban planning and urban data projects: ideation, prototyping, creation of data structure, heterogeneous data acquisition, data cleaning, data analysis, modeling, data visualization, and deployment.
Postmodern Sociology, Cultural Studies, Artificial Society, Dynamical Psychology, Social Theory, Agent-Based Programming, Philosophy of Science,Computational Finance.
Biocomplexity, Complex Networks, Cellular Automata, Information Theory
Physics and econophysics, Common Complex Collective Phenomena in Statistical Mechanics, Society, Economics, and Biology.
Artificial Intelligence, Artificial Life, Natural Ressources Modelling, Bio-economic Modelling, Simulation, Multi-agents Systems, Dynamic Systems
Fields of interests _- Economics, Finance _- Mathematics, Physics _- Psychology, Sociology _- Philosophy, Epistemology _Specific interests _- monetary system, markets equilibrium, economic rationality, economy of information, economic thought history _- Probabilities theory, game theory, fractals, complex systems_
complexity of sub-systems in the whole energy system_ prevention of cascading failures and blackouts_ future cities_ market coupling_ resource nexus
Tiziano Squartini is a physicist, working from November 2015 as an Assistant Professor at IMT Institute for Advanced Studies, in Lucca (within the NETWORKS Research Unit). He was born in 1983 in Siena, where he graduated in 2008 with a Master_s Degree in Physics and defended his PhD thesis (_Information-theoretic approach to the analysis of complex networks_) in 2011. During the biennium 2012-2013 he was Postdoctoral Researcher at the Lorentz-Institute for Theoretical Physics (Leiden, NL) under the supervision of Diego Garlaschelli. From January 2014 to October 2015 he was Postodoctoral Researcher at the Institute for Complex Systems UOS Sapienza in Rome, under the supervision of Luciano Pietronero. His research activity focuses on both the theoretical and the applied side of complex networks theory (e.g. network reconstruction, network validation, link prediction, early-warning signals detection in economic and financial systems). He currently collaborates with the Supervisory Policy Division of the Dutch National Bank and the Bank of England. Other research interests concern statistics, statistical mechanics, brain networks and neural networks.
Influence of long-range dependencies, feedback and nonextensivity on complex computer systems behavior.
Every day, millions of humans make decisions about issues of interest for the group or the community they represent. Equivalent processes have been described well by several authors for animal societies. Group members must take decisions satisfying the majority of individuals (i.e. decision accuracy) but in a relative short period (i.e. decision speed). Much time may be required to make an accurate decision between alternatives, because evaluating information may be a lengthy process. Nevertheless, empirical studies demonstrating the conflict between speed and accuracy in decision making are mostly investigations in the field of human performance and psychology. Several factors can affect this trade-off between speed and accuracy. Better information can enhance the efficiency of the decision. However, the decision efficiency also depends on the way individuals are inter-connected, that is, according to the social network. I want to assess how the information quality and social network may enhance the collective decision-making by increasing both the accuracy and the speed of the decision.
Ethobiosciences - Cabinet d'Ethologie: Expertise et Recherche en Bien-être et Comportement Animal / Research and Consultancy Agency in Animal Wellbeing and Behaviour. Ethobiosciences.com
Relationship between complexity leadership theory and Dr Edward de Bono's cognitive tools and processes he has designed to deal with the human brain as a complex adaptive system.
Self-oranization, origin-of-life, artificial cells
My work mainly concerns the analysis and modeling of large networks encountered in practice, such as the Internet, the web, social networks or legal networks. These networks are typically represented by graphs and a set of techniques stemming from graph theory has already proven to be very useful to characterize and analyze their structure and to model their behavior by highlighting specific properties. My work follows this approach by proposing new theoretical tools in order to identify non-trivial properties of these networks and to define new models able to capture these properties.
Multiagent modeling, system dynamics, automata networks
Dynamics of lymphoid cell populations in the immune system_ Modeling and simulations of lymphocyte differentiation, selection and resilience to perturbations and aging
Evolutionary computation, complex networks, automata networks, social networks, evolutionary games
Languages, econophysics, opinion dynamics, solid state physics, biological systems, nonlinear bio medical physics
I am interested in multi-level relationships in food materials between molecular and macroscopic scale properties. In particular when the material is exposed to constantly changing environments as in oral processing and digestion, i.e. complex conditions.
self-organization, brain-machine interfacing, non-linear signal processing
Oral motor control, coordination dynamics, speech pathology, swallowing, interface language and speech processes, variability in motor control
Complex systems, Dynamic self-organization, spatiotemporal pattern formation, reaction-transport systems, (electro)chemical oscillations
epistemology of models and simulations _ types of computer simulations _ pluriformalisms _ multimodeling _ epistemology of computational sciences of complex systems _ epistemology of complex and integrative models of complex systems
Finding rules for socio-economic systems that will confer increased beneficial sustainability with tolerable implications for other emergent properties.
Researcher in the field of Intelligent Systems, Data Processing, Knowledge Extraction for analysis, control, prediction and forecasting for complex systems.
_Comparative biology and evolution of catecholamine systems and forebrain in Chordates: The goal of our research is to understand how the neuromodulatory systems using monoamines (dopamine, noradrenaline, serotonin) have been shaped and organized along protochordates and vertebrates evolution. This work includes the analysis of the genetic mechanisms of the differentiation of the various catecholamine systems is several groups of chordates (ascidia, amphioxus, and zebrafish), with the aim of better understanding how the different functions of these systems has been recruited along evolution, and how their dysfunctions contribute to several pathologies ( Parkinson_s disease and ADHD).____Mechanisms of the development and evolution of the forebrain in vertebrates: we are studying the rôle of genes which govern the formation and the organization of the telencephalon, hypothalamus and diencephalon, to understand how these areas have been modified and adapted to functions according the lifestyle of the different groups of vertebrates
In the last few decades, science and cosmology provided us great insights about our place in the universe. However, the scientific worldview strives to be value-free_ we thus need to extend it to give a meaning to our lives. A broader philosophical worldview answering our existential questions is such an extension. This worldview will provide people a meaning of life, in harmony with past and future cosmic evolution.
I graduated in Statistics from the Louvain School of Statistics, Biostatistics and Actuarial Science in 2010. I specialized in data management, data mining (PCA, discriminant analysis, clustering _) and predictive modeling (logistic regression, hierarchical or mixed models _). I have experience in working with large data sets, and statistical tools such as SAS, R and SPSS. My current interests include working on graphs, by using social network analysis tools and data mining techniques applied to graphs. My PhD research focuses on the structural components of student networks (in particular student centrality measures and network density) that are related to student academic achievement.
Stochastic Dynamical Systems
Filtering theory
Stochastic control
Neural Networks
Optimal design of experiments
Marco Villani received his honours degree in Physics in 1992; his thesis "Genetic algorithms for function optimisation on transputer networks " obtained in 1993 the "Franco Viaggi" awards of the SFI (the Italian Physic Society). He worked at ENEA (the Italian National Agency for New Technology, Energy and Environment) and at "Advanced Computer Systems S.p.A." company; then he worked for eight years at the Environmental Research Centre of Montacatini S.p.A (Montedison group) as researcher and eventually responsible of the Simulation Laboratory. Now he is researcher in Engineering and Computer Science and responsible of the Modelling and Simulation Laboratory at the University of Modena and Reggio Emilia. In 2006 he win the Best Paper Award at ACRI2006 (The International Conference on Cellular Automata for Research and Industry). He was and is involved in several Italian and European projects, where applies complex systems concepts in areas that require strong interdisciplinarity. At present he is the coordinator of the European project CETRA - Complexity Education for TRAiners. His main interests are about applications of frameworks as cellular automata, agent based models, Random Boolean Networks and graph theory to environmental, health and social topics
applied information theory, foundations of complex systems
Interest in: (a) noise induced phenomena and its possible technological and biological applications_ (b)applicastions of statistical physics to economic and social problems_ (c) nonequilibrium statistical physics.
I am interested in combining things, interrelating and matching them. Thus, Complexity Science is helpful - as a life philosophy and applied practical knowledge recognizing the unity of the world. Tiny details and large-scale processes matter equally. Computational thinking is thinking at logically diverse levels of abstraction and in relationships - something that allows uncertainty to become a part of decision making and problem solving. I combine what I know in Law with the acquired learning in Information Systems, Organizational Research, and I keep my intellectual involvement into international and European relations, standardization processes, innovation and cooperation for peace. I am impressed with success of Natural Sciences, and I will try my best to encourage it as much as I can. I believe that there exists the best possible match of persons for their self-realization with proper jobs and hobbies - this is what I love thinking over and working for. I would like teaching people in complexity and simplicity as two sides of the same coin - in whatever outstanding mixtures the people can come up with. I enjoy Punk Rock and cycling to places previously unseen.
President of Eurobios
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