This directory presents the profiles of 1447 scholars and 261 labs 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.
This directory is edited by the Complex Systems Registry. This initiative is supported by the Complex Systems Society (http://cssociety.org).
Contributions and ideas are welcome to improve this directory. Please feedback at :
http://css.csregistry.org/whoswho+feedback
Algorithmic game theory, Complex networks
My research focuses on agent-based immune modeling to study T-cell dynamics, diversity, emergence, immergence and other complexities. I am also working on data mining of immune literature, information retrieval, and data analysis and visualization.
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
Evolving systemsCondensed matter physicsAutonomesI am a computer simulator, with interest in Daisyworld ecology models and econophysics modelling, using evolving autonome systemshttp://homepages.ed.ac.uk/graeme/pub.html www.ph.ed.ac.uk/nania
complex systems
Applications of complexity to financial and economic systems; market dynamics; stochastic modelling; Agent based simulations
Mathematical Modeling, Biological Physics
Biologically inspired complex adaptive system e g game theory, Immune system, Multi-objective optimization
complex social systems, innovation economics, science and technology studies, policy research, agent-based modelling, social simulation
Simplifying the complexity
Working with people, groups and organisations to enhance their capacity for choice and encourage decision making that supports natural resource management through the improved use of: - Participatory and collaborative learning approaches (including action research and evaluation)- Systems thinking- Social network development- Adaptive management- Integrated and interdisciplinary research
Complexity, mathematical modelling in ecology and social systems, evolutionary theory and modelling
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
people, physics, music, sports
Lecture @ Instituto Superior Miguel Torga, Coimbra (Portugal)Researcher @ Communication and Society Researcher Center
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.
Complex and chaotic dynamic, measurements of dynamical complexity, entropy-like concepts.
Biocomplexity, cellular computing, individual-based modelling
Agent-based modelling methodology for ecology and social sciences
I am master student of Production Engineering and Management at The oyal Institute of Technology. My interestes are Production and Operation Management, Operation Management, Operation Research, Invention in manufacturing technology etc.
Complex systems, societal evolution, epistemology, philosophy
Origin of ComplexityChange of phases in earlier universe
Information processing in complex systems. Evolution of complex systems.
Engineering chemical reaction networks with defined spatio-temporal behavior. I use DNAs as molecular building blocks and microfluidics to set the boundary conditions.
management, innovation, clusters, scale-free theories, fractal organisation theory
Working on a number of models for business applications: stock markets, supply chains, customer networks, project management, team management
decision in dynamic contexts, context permeability, context switching, methodologies for agent-based social simulation, heterogeneous rationality
Innovation product design and prototypes. Materials and process of manufacturing
COMPLEX SYSTEM
stochastic processes, diffusion, relaxation
Machine Learning, Artificial Intelligence, Gaussian Processes, Ergodic theory
Complexity, social Science, knowledge representation. complex decision
Application of complex systems to social systems, simulation, stochastic optimization of complex systems
Design and analysis of algorithms, discrete optimization, pattern recognition, systems biology
Disorder, self organization
dynamical systems, delay equations, networks, systems and control, mathematical neuroscience and biology
robustness
We work on the dynamics of complex molecular systems. Our main interest is on the understanding of the working principles of molecular machines. We focus on organic self-assembled molecules in general, and on proteins in particular. We have developed network-based models to study the basic features contributing to structure/function relationships in these systems.
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.
Dynamical systems.Reduction of complexity.Population dynamics.Ecological Modelling.
Making interpretable models for analytics and decision support based on information visualization and machine learning methods
Travel Behaviour, Transport Modelling, decision making, risk & uncertainty, Social Networks, social interactions, pro-social value orientation, fuzzy sets
Microbiology, Genetic regulation, systems biology
Engaging with 'the now'. Assisting practitioners, organisations and enterprises with methods and tools to enable them to exploit dynamic complex situations, on-the-fly, to their advantage. Providing facilitation and assisting with problem definition, capture, analysis, strategy formulation and understanding change options.
Complex Systems related to design, metadesign, sustainability
Integrative physiologyCardio-respiratory interaction
town-planning and urban systemshealth geography and geographic systems
My current academic research interests include systems in both the service sector and ICT. In particular, I am studying the ecosystem of services and the multidisciplinary modeling approach to design services through the integration of ICT, strategy and processes.
social systems theory, laws of form, second-order cybernetics
computer security risk assessment
Arts
Evolutionary Game Theory
Computational Learning, Mathematical Principles
Country pub lunches.
Culture
Director, Complex Systems Institute Paris Ile de France (www.iscpif.fr)Co-Director, European Network S4 (http://s4.parisgeo.cnrs.fr/)
Multi-Agent Simulations, Artificial Life, Nature Inspired Computing, Self Organization
Neural networks, Agent based systems, non linear simulation. Historical research, Prehistory, Archaeology, Anthropology
Mathematics and computer science artificial intelligence network theory neuroscience agent-based social simulation
Biophysics, Sensory systems, Neural networks
learning and adaptive systems, collaborative learning, complex systems,networks in general, data mining, non-linear methods, cognitive sciences, psychology...
* process control* Production ramp-up* Project Management
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.
I'm developping Gephi, the open-source graph visualization software. I'm interested in software architecture, infovis and complex networks.
combinatorics, algorithms, large networks analysis, cluster analysis, social networks
Agent-based models of infastructure systems, causal and influence networks, complex transport systems
Complex Networks, Economic Networks, Social Networks, Systemic Risk, Credit Networks, Trust, Reputation, Recommender Systems.
Homology, information, entropy, probability, homotopy, knotts, link, Neuroscience, adaptation, plasticity, learning, category, topos, Motivs, topology, Variability, critical point, fixed point, phase transition, order disorder, constructive logic, Riemanian geometry, causality, space-time, networks, dynamical system, group theory, perception, action, receptive field, coding, active-sensing, multiscale, scale invariance, projective geometry, affine geometry, Wiener kernel, nonlinear systems, n-body interaction, simplex , complex, polylogarithm, finite systems, biological evolution adaptation, physic of information, cortical physiology, out-of-equilibrium systems, nonlinear random field.
I currently work on electoral geography on the ANR CARTELEC (http://www.cartelec.net/). I also lead with C. Ducruet a work group dedicated to network analysis in geography (groupe fmr - flux, matrices, réseaux).
Complex Networks - Network modeling and simulation - Social Networks - Emergent behavior
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
Systems Biology, Human Genome, Functional Genomics, Gender, Biological Clocks, Cancer, Mental Disorders, Pregnancy, Aging, Cardiometabolic disorders, chronopharmacogenomics, proteomics, transcriptome
John Todd Ecological Design is involved with complex systems knowledge applied to design projects, especially in relation to how natural resources carried by water, or water itself, can be integrated into sustainable systems to service regional or local ecosystems. This includes the production of added value products, such as food, processing of 'waste' and other cascade products.
Complex systems modelling and simulation, Self-organisation modelling, Ecosystems, Swarm Intelligence, Territorial Intelligence
Civil enginering (project management)
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.
Individual based modeling of biological systems; Digital evolution; Individual based modeling at the sub-cellular level; computational biology; systems biology; computational neuroscience
Memory and Information Processing in living Neuronal Networks; Urban Organization and Dynamics, Population and Economic Growth, Sustainability; Real Time Epidemiology, Emerging Infectious Diseases and Pathogen Evolution The Social Dynamics of Innovation and Scientific Discovery; Distributed Sensor Networks and Aridland Ecology; Fundamental Aspects of Nonlinear Dynamics, Statistical Physics, Complex Systems
System Biology Multi-agent simulationBiological networks - metabolism
Hydrology, Envrionmental Modelling, Uncertainty Estimation
Stochastic models, analytics
Complex systems, Complex and biological networks,Statistical mechanics
Multi-agent systems
Agent Based Simulations, Complex Social Systems, Informal Social Networks, Data Mining, Neural Nets, Genetic Algorithms, Health Informatics
Complex Systems, Complex Networks, Emergence, Social Systems, Brain, memory, m-learning, e-learning, Mobile Applications, Software Engineering
accounting economics and law, accounting economics and financesociophysicseconophysicscomplex systems in economics and society
Philosophy of mind, philosophy of science, philosophy of physics, philosophy of biology, emergence, downward causation
Formal Methods for Component Based Design
Application of complex systems to sociology and marketing
I am working on the interactions between organisms to understand the functioning of ecosystems, especially on the relationships between plants and earthworms, which are involving physical, chemical and biochemical interactions. I am interested in the understanding of auto-organization in ecosystems and its utilization in ecological engineering.
Applications of probability and statistics to evolutionnary biologyPhylogeny
renal and vascular physiology,nephrology
My interests are computer, science, scientific research, education, development, teaching, learning, all with philosophy.
Complex system simulation platforms
(Statistical) physics in mechanicsdamage and failure of disordered mediarheology of granular flowsnanoscale surfaces and interfaces morphology
Corporate Performance, Financial Analysis, Human Resources Management
viability theory, optimization, genetics, population studies
Mathematical and Computational Neuroscience, Complex Systems in Neurobiology, Cognitive Systems, Development of Neural Circuits, Dynamics of Neural Activity, Mathematics of Complex Systems
design ,management,economics,design management,systems thinking,
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.
Data Mining and its application in molecular biology
How do the concepts of complexity manifest in practice in human systems; how can we know? What does complexity thinking imply for policy development?
modélisation de la complexité du systeme d'information juridique,systeme juridique comme systeme complexeevolution de la jurisprudence (ontologie et langage)Systemes de gouvernance et de régulation 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
statistical pattern recognition, automatic speech recognition, artificial neural networks, multimodal processing, applied mathematics
Decision Analysis and Optimisation.DEA. Group decision making process. Data Management, MIS, Knowledge Management
Ecology - Aquatic ecosystems - Estuarine ecosystems -Food webs -
Finance
Complexity in Design, Generic Architecture, adaptive systems, urban self-organization
magic squares
Development and use of tools and methods for the support of the day-to day work of people who deal with complex issues, special emphasis at the moment is on disaster and conflict management. Work done in support of this field of application is the contribution to the 'ICT in Conflict & Disaster Response and Peacebuilding' crowdmap https://ict4peace.crowdmap.com/main .
I am interested in the human brain, particularly the visual system, particularly visual defects such as hemianopia, blindsight, visual agnosia. I am also interested in artificial neural networks for modelling the visual system and for performing human perception tasks. As a side line I teach maths and programming to children (8-11 year olds) and run robotics activitities.Also enjoy organizing - currently working as a coordinator for Complexity Science project - ASSYST
Epidemiology
Health sciences
Geobotany, mapping, distribution of invasive alien plants, biodiversity
statistical physics, dynamical systems theory, network theory, modeling of social systems and human behaviour, quantum information.
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.
Complex systems modeling and simulation; Artificial complex systems; Social/Spatial dynamics of Complex systems.
molecular, syrtems, synthetic biology, physics, chemistry
Game Theory, group and network formation, algorithmic complexity.
My current research focuses on the design and implementation of an efficient algorithm for the calculation of voltage response to various stimuli on arbitrary dendritic trees.
self-organization,adaptive computing,Artificial Life,Mathematics,Physics and anything about Complexity Science
social and technological networks, econophysics, complex systems
Complex Systems, Emergence, Brain Systems, Medical Systems
economics, network industries, management
Dynamical Systems, Complex Systems, Social Systems, Biology, Networks
Mathematical, theoretical and experimental Biology.Modelization, systems biology.Evo-devoInterdisciplinary approaches.
I am publishing editor for the Springer Complexity program
We investigate the relationship among the aggregation processes, the usually multifractal structure that these processes generate and the physical properties of electro and magneto-rheological fluids, emusions, gels, and granular matter. We also are interested in the theoretical description of the dynamics of the domain walls in ferroic materials and its relation to the evolution of interactive biological populations and some other phenomena.
My research focuses on applications of Statistical Physics to social and technological systems. Current topics include power-grid networks; socio-economic and organizational networks; innovation and scientific discovery; structure and dynamics of geo-spatial social networks; urban organization and dynamics; regional/global trade networks.
Computer Simulation
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.
Agent-based modelling, network theory, social network analysis, system dynamics, supply networks, innovation networks, new organisational forms
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.
Genomics, Monte Carlo modeling of the biological evolution
I am part of the team behind the EPSRC funded Emerging Sustainability project, looking at reframing sustainability as an emergent property of a complex system (http://emergingsustainability.org/index). Within this project I am particularly concerned with informal settlements and self-organised community initiativesI am also working with Lee Cronin, Yasmin Merali and Rebecca Mancy on the EPSRC funded Network called EmergeNET (see www.emergenet.org). My non-complexity relate work is concerned with alternative models for imagining, procuring and implementing projects involving communities. I am also a member of the research group AGENCY - Transformative Research into Architectural Practice and Education
Cell Biology
artificial intelligence evolution psychology global brain mathematics network theory
I have a life-time's experience in development studies and geo-politics in India and Bangladesh, as well as contributing to combinatorial q-analysis and media studies.
Interested in the complexity of living beings, for which I proposed the concept of "mosaic", derived from "juxtaposition" and "integration" processes (See G. Chapouthier, Mosaic structures – a working hypothesis for the complexity of living organisms, E-Logos (Electronic Journal for Philosophy), University of Economics, Prague, 2009, 17, http://nb.vse.cz/kfil/elogos/biocosmology/chapouthier09.pdf)
System and System of systems EngineeringVerification, Formal approaches, combined approachesSystem modeling frameworks
EvolutionTranscriptome analysisSystem Biology
I'm interested in non linear modeling of decision making in multi-agent systems devoted to swarm intelligence. My studies deal with using basic logistic maps as decision generators within the agents. One can couple and control these maps so as to constitute a simple paradigm of swarm behaviors.
I am interested in transports, flux and movements. My method is to study how a service can meet their customer, and how customer learn the use of the service.
collective behavior in complex systemsuniversality out of equilibrium
see personal website
biological sciences ecology mathematical modelling
Data Optimisation, Visualisation Data for Decision Making
With a background in mathematics, computer sciences and cognitive science, I am studying social dynamics, cultural evolution and science dynamics both from the point of view of modelling (with maths or simulations in the framework of evolutionary game theory) and reconstruction of meaningful social patterns from data (using data-mining, graph theory, and infoviz approaches). I am also deeply concerned with epistemology.
Postdoctoral researcher on the European project QLectives (http://www.qlectives.eu/index.php/Main_Page). Research interests include Weak Emergence in Agent-based Simulations, Statistical analysis of Complex Systems, Game Theory, Social Networks, Cognitive Modelling, Linguistics and Languages, Philosophy of Science, Epistemology,
Singing, playing the guitar, archaeological expeditions, board games, generalized entropy (not related to current project but interested according to education)
Philosophical dimensions of complexity theory.Application of complexity theory in planning especially focusing on fractals. Extending the theory of autopoiesis from social sciences to the application domain of planning.
Quantitative and dynamic analyses of stress signaling in eukaryotes
Complex systems science and applications in healthcare and social sectors
Complex Systems, Nonlinear Dynamics, Chaos, Turbulence, Computational Science, Space Physics, Plasma Physics, Astrophysics, Geophysics, Economic Dynamics, Management
Complex Adaptive Systems, Systems Biology, Networked Systems
Working as a specialist in a new approach of performing FMEA (failure mode and effect analysis) for complex engineering systems during product development in the automobile and other industries. The approach is called OOFMEA, or object oriented FMEA. Generally leaning to apply the commom principles of complex system found in different research areas.
Economics, Economic Geography, Technology Studies
Complexity, Algorithms, Computer Science, Networks, Information Theory
Detecting emergent groups or phenomena in data and models of complex systems.
La régulation instantanée de l'axonème
Modeling population health complex systems, information systems, data mining, network modelling
Complexity and Philosophy. Ethical implications of complexity theory. Complexity and the limits of understanding. Complexity and contemporary culture.
Human Centered System Design,Socio Technical System Design,Chaordic System Design.
Emotions Complex systems Agent-based Computational Economics (ACE) Social and Economic Networks General Psychology
The principal goals of my studies is to give a better understanding of the pedestrian dynamics, the nature of crowds, also explore different models inspired by the liquid, granular, bio physics and theories of collective motion.
Mathematical BiologySystems BiologyPhysiologically structured PDEs Cell Cycle ModellingCircadian clocksPhysiologically Based Pharmacokin-PharmacodynamicsCell darwinism and drug resistancePersonalised medicineCancer therapeutics and its optimisation
Cognitive Systems - Cellular Automata - Artificial Evolution
see http://digilander.libero.it/matconv/& http://matconv.uni.googlepages.com/(& relative links of these web-pages!)
Profesional education Patient education Diabetes mellitus chronic disease management
I am a member of a Complexity Study Group at the National Science Foundation.
random processes, fluctuations, chance, origin of life, development, evolution.
Innovation for any organisation as a sustainable process
Chaos, Complex Systems, Coupled Map Networks, Sociodynamics.
Nature Inspired Computation, including Evolutionary Algorithms, Self-Organized Systems, and Computational Biology
My current research interest is in the field of: Complex Education; Managerial Economics underlying the design, control and management of complex social and socio-economical systems, closely connected to the behavioral changes of both customers and companies under crisis times; Complex systems applied to the companies strategy and behavior; Cultural anthropology and global reform of markets, gender role in social inclusion.
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
Agrometeology- remote sensing - modelisation
Distributed, robust and secure software.Linux kernel.
Complex systems in biology, particularly demographic complexity
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
Peter Csermely (52) is a professor of the Semmelweis University (Budapest, Hungary). His major fields of study are the crisis responses and aging of networks (www.linkgroup.hu). In 1995 dr. Csermely launched a highly successful initiative, which provides research opportunities for more than 10,000 gifted high school students (www.nyex.info). In 2006 he established a National Talent Support Council in Hungary. He wrote and edited 13 books (including the Weak Links at Springer) and published two hundred research papers with a total citation over 4,300. Dr. Csermely is the member of the Wise Persons’ Council of the Hungarian President, vice president of the Hungarian Biochemical Society is the past president of Cell Stress Society International, an Ashoka Fellow, was a Fogarty and Howard Hughes Scholar and received several other national and international honors and awards including the 2004 Descartes Award of the European Union for Science Communication.
dise_o, innovacion
Metabolism-Enzymology of multienzyme systems-Modelisation and simulation
Research area: Complex Networks
Biological complexity and the evolution of biological systems .
Algorithmic TradingAsset-Backed SecuritiesStock Markets Microstructure
Theories of complexity, Multi project management, Self-organizing systems, organizational networking, Dependence Structure Matrix, Domain Mapping Matrix
Complexity, Statistical Mechanics, Scaling, Artificial Intelligence, Probability
j'aime la vie
Community ecology, ecosystem functioning, biogeochemistry
reaction diffusion models and spatial theories
Use of complexity science in spatio-temporal (or otherwise) modelling for topics in crime and security.
Interactions between physiology, behaviour and the environment that give rise to variation in patterns of social behaviour.
Design of experiment, evolutionary algorithms (in particular GAs), neural networks
visualising complex systems and emergence, merging complexity and simplicity
- Synchronization and partial entrainment in the Kuramoto model of coupled oscillators- Clustering behavior in a multi-agent system of attracting agents- Synchronization in spiking neural networks
Complex systems in the brain: coupled networks of neurons, astrocytes, and capillaries.Coupled graphs as the basic structures to understand complex systems.
Traffic models,Supply chains models, modeling of Individual and collective behavious in animal societies,Pedestrian and crowd modeling tumor growth models
Mathematics, Kolmogorov complexity, algorithmic informtation theory, computablity theory, games thepry ; simulations
droit, contrat, �conomie cognitive
+ ultra-large scale hybrid systems+ modeling & simulation+ architecture, design, engineering
Multi-Agent Systems, Artificial Intelligence : Applications, Emergence, Evaluation, Learning, Methodology, Organisations, Privacy, Trust, User-Centring.
CSS and reproduction
innovation theory, improvisation, process of decision, emergent and contingent strategies, networks, pharmacy.
Emergence of honest communication, Origin of language, Relevance as complexity drop
Complex Physical Systems
My current research focuses on surrogate modeling (or metamodeling) of complex physical systems. This includes system identification, rational/polynomial approximation, reflective exploration, reduced-order modeling, design of experiments, response surface modeling and kriging. Metamodels are fast-running surrogate approximations of complex time-consuming computer simulations. The metamodels can be used for parametric studies, optimization and sensitivity analysis.
Forest dynamics and management, especially regarding impacts of global change
Complex Systems - Statistical Physics- Network theory-Econophysics-Financial Data Analysis
Antonio DiCarlo is the director of the Modelling & Simulation Lab and a faculty member of the Doctoral Programme in Physics at Università Roma Tre. Co-founder and shareholder of TRS (Technology & Research for Security), one of the few spinoff companies of this University, he is a member of the Italian Research Group in Mathematical Physics, the Italian Association of Theoretical and Applied Mechanics, the European Mechanics Society, the European Society of Biomechanics, the International Society for the Interaction of Mechanics and Mathematics, the Society for Industrial and Applied Mathematics, the Italian Society of Applied and Industrial Mathematics, the Complex System Society, the MACSI-net, and the Groupe Français de Mécanique des Matériaux. His main current interests are in multiscale mathematical modelling of materials physics and its seamless integration with geometric modelling.
Multi Agent cellular Automata Modelling in urban Planning
agent-based social simulation, epistemology, extreme events, sociology of scientific knowledge and science policy, econophysics, cognitive science
complex networks
complex dynamic systems, strategic analysis, scenario planning, modelling incl. agent-based modelling, applications of operational research to government, particularly health issues
Maintenance, support and analysis of large biodiversity databases. Software development. Predictive mapping of habitats. Ecological, biodiversity informatics and biosemiotics. Systems design and programming, databases. Emergence. Networks.
Biomedical Cybernetics
Complex structures, chaos and self-organization in plasma physics
Architecture and Design, ecology, cybernetics, systems theories
Modeling and simulation of complex engineering systems, including fracture-mechanical problems; transport processes; 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.).
Swarm intelligence, Swarm robotics, Metaheuristics, Ant colony optimization
The main theme of my research is the computational modeling and simulation of complex multi-agent systems, in particular biological and techno-social, which can also inspire novel principles in intelligent systems design. I am especially interested in "self-made puzzles", i.e., the self-organization of complex, articulated morphologies from a swarm of heterogeneous agents, through dynamical, developmental, and evolutionary processes. For example, these emergent patterns can be innovative structures in multicellular organisms, autonomic networks of computing devices, or "mental representations" and imagery made of correlated spiking neurons.
cellular automataflash floodssilty platesNorthern France
random graphs, flows in complex systems, queuing theory and stochastic networks, stochastic processes,
Amazon, climate, complex systems dynamics, disturbance, drought, geography, perturbation, resilience, risk, socio-ecological systems, vulnerability
Multi-Agent Systems, Complex systems modelling and Simulation.
computer science, complex systems, operational research, optimization, stochastic algorithms, metaheuristics
I am interested in the dynamics of and on networks, both for biological and electricity networks.
Modelling complex systemes in tropical ecology and epidemiology
Links between social psychology and social simulation
Discrete event mulimodeling approaches.Integration of heterogeneous formalisms.Scale transfer modeling.Multi view-point models.
Collective Intelligence, Emotion Modelling, Genetic Automata, Adaptatve Spatial Decision Support System, Holistic Economic Modelling, Statistical Physics
Theoretical and computational reliability and risk assessment of infrastructure systems.
Multi-agent systems, socio-cognitive modelling, agent-based social simulation, crisis management
Dr Abdulai (Abs) Dumbuya was awarded a PhD from Loughborough University in 2003 for his research on vehicular traffic modelling and simulation with particular focus on visual perception modelling for agent based micro-simulation. Abs has authored and co-authored several academic publications in the areas of agent based traffic micro-simulation, driver behaviour and driving simulation. He is a TRL Academy Fellow/Research Scientist and Project Manager in the Transportation and Safety Division at TRL. Abs works on a broad range of projects, including; micro-simulation research of driver behaviour, routing assessment of navigation systems and road user charging - systems engineering. He is currently leading research on novel methods for modelling complex and realistic road traffic scenarios, including the application of Artificial Intelligence (AI) concepts/techniques e.g. Neural Networks, to develop intelligent virtual agents in synthetic driving environments.Abs’ areas of interest and [...]
toxicology
Current interests include citation, collaboration, social and other networks associated with the translation of clinical evidence into practice.
Decision in complex systems Strategy in complex systems Organisations as complex systems Management of complex systems
Cognitive Developmental RoboticsCoupled Chaotic Systems
cognitive economics, game theory, network theory
Design, Design Research, Research Methods, Doctoral Studies, Creativity
Stochastic Systems Models
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.
complex system complex network physic
modelling . transport . multi-agent
health system dynamics
database engineering and systmes applications
Adaptive compex systems, e-Publishing, e-Learning, Complexity education, Complex network
Physics and physico-chemistry of soap films and liquid foams
Dr Amgad Elmahdi is a Water Systems Analyst in BOM-Australia Water Resources Assessment Section-Water Division-Bureau of MeteorologyThrough system analysis and modelling of land and water systems and their socio-economic and environmental dimensions, Dr Amgad Elmahdi takes an integrated system approach to delivering better land and water policy and management options for complex issues including environmental flow, irrigation system, river basin, conservation, land and water resources, and climate change adaptation. He has several years of experience in all aspects of hydrology and water management. His primary research area is Complex Systems Science, focusing on the use of integrated system analysis approach to characterise the total water system (the biophysical, the economy, society and the environment), and to analyse land and water policy issues both qualitatively and quantitatively.
Bioinformatics, Cognitive Sciences
developing of urbanization and urban settlement system in Asian countries
Urban studies, complexity in urban planning
general complexity theory, science policy
Dynamic models in educational systems, Prospective, Neuroscience and Cognitive Psychology.
Tools and methodology to model social complex systems with multi-experts models dedicaced to MAS
Graph theory and its appications to chemistry, biology and socio-economic systems. Topological characterisation of complex networks by graph spectral theory and network structure for drug design, cheminformatics and bioinformatics
My main interest is in the behaviour of many body systems both in and out of equilibrium. Recently I have looked at related problems in complex systems, and the properties of Complex Networks in particular. This is both from a theoretical perspective and in terms of applications to problems in social sciences such as Cultural Transmission in general or for Archaeology, part of an interest in sociophysics in general.
Systems biology of host-pathogen interactions
The rationale for multi-target drugs has been strengthened both on theoretical and empirical grounds. Serious diseases that are intractable to treatment were found to have multiple pathogenic factors and examples of successful drugs were shown to affect multiple disease targets. The salient features of multiple-target drugs, low target affinity and rapid binding kinetics, have been responsible for their late discovery and slow development. We predicted that peptides from the ligand-binding domains of chemokine (CK) receptors could be used to modulate the activities of disease-related chemokines (CKs) for therapeutic effect. We developed innovative technologies to produce, screen and optimize low affinity, chemokine-binding peptides (CBPs) derived from chemokine receptors (CRs). The peptides were found to have therapeutic activity in animal models of disease, confirming our prediction and validating the related technologies.
Complexity in Economics, Chaos Theory, Control of Chaos Theory
statistique et changement d'échelleanalyse de sensibilité de modèles pour la meta-modélisation
asynchronous cellular automata ; multi-agent systems
behavior - neuroscience- electrophysiology
Machine Learning apply on CS
Management of dairy systems
Information visualization, social networks, evolution of the sciences
Theory of metabolic networks
I believe that complexity is simple, not complicated, and there must have a “Function Law of Nature” which could connect mechanical conservative system, dissipative system in equilibrium or near equilibrium states and complex open system in non- equilibrium states together (Feng & Chai, 2007). By dealing with complex interactions among microscopic elements from perspective non-equilibrium statistical mechanics, my tutor Dr. Lihe Chai and I have mathematically and physically revealed a common process in complex systems—“Growth” (Feng & Chai, 2008b). We then proposed a set of theoretical model and simulation method to reconstruct the general dynamics equation of structural formation and growth in complex systems (Feng & Chai, 2009a). Up to now, we have applied this complex system modeling method to “Vegetation Patterns” (Feng & Chai, 2008a), “Stock Markets” (Wang, Feng & Chai, 2009b), and “Origin and Evolution of Biology” (Wang, Feng & Chai, 2009c).
multi-agent systems, individual and collective evolution, organizations in multi-agent systems, modeling of complex systems
Evolution, Genetic Programming, Bioinformatics, Adaptive Agents and Multiagent Systems, Emergence in Complex Systems,Models of Complex Coherent Action
cognitive science artificial intelligence
PRoject officer for the complexity projects in FET
Decision support methods and tools for environmental management. Social experiments. Assessing complex systems management capacity of groups.Management of projects.
Professional Development; Supervision; Teacher Training; Team Building; Critical Reflection; Learning communities.
In order to provide decision support in spatial planning of the passengers' spaces in public transport systems and through a partnership between the University of Le Havre, the CNRS and the RATP, a new multi-agent model has been developed. It allows the modeling and the simulation of corridors, platforms, interiors of trains, etc. and the behavior of travelers who walk on them. Their behavioral process is decomposed into three steps: location in space and time, computation of a state of satisfaction (based on an adaptation of the eco-problem-solving) for each one of them and, in case of dissatisfaction, search of a new destination. The model, called SimTRAP (for Simulation of exchanges between Trains And Platforms), is based on NetLogo and uses a Java extension allowing the system to manipulate 2D-geometries, through the JTS Topology Suite.
network theory, system dynamics, cybernetics, modeling and simulation of complex systems, chaos theory, autopoiesis, Systems Engineering, Organizational Systems, Emergence
Complexity Measures, Social Networks, Multi-Agent Systems
Synchronization Phenomena in Protocell modelsStochastic Catalytic Reaction NetworksEmergent BehaviorsTechnology Diffusion Dynamics
Organization science, decision theory, computational methods.
Accounting Research
Music, Mathmatics, General Science, Robotics, Micro-controllers and sensors
Reaction-diffusion with limit cycle kinetics,open biochemical pathways
Traitement du signal et des images
Complex and Dynamic models in sports systems and Cognitive Psychology.
interaction graph, dynamic graph
Robotics, evolutionary systems, neural systems, collective systems, bio-morphic electronics, distributed sensors and actuators.
My goal is to promote the new paradigm of Complexity in Romania and to act as an interface between theory and applications in this field. I try to assume a pro-active role in defining and building a tri-lateral bridge between:a) Intellectuals: academics, scientists and researchers, as well as artists, b) Companies and other factors capable of practical verifications, actual implementation, and market access for product launching;c) The civil society and its policy- and decision-makers.Besides the Scientific aspects, another essential aspect of my activity is Education, i.e. bringing up the new generation by inculcating new attitudes and generating a new awareness and a novel mentality, pro-active and protective towards the Nature and other fellow humans (http://www.complexity.ro/html/education.html).
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.
Biomathematical modelling : morphogenesis (plant growth, embryogenesis, cellular based models, PDE,...)
modeling natural phenomena by discrete dynamical systems
computational systems biology, structural and dynamic characterization of complex networks, numerical modeling of dynamical complex systems
modeling of biological, physiological, metabolic and nutritional systems
Sociologie et modelisation des systèmes complexesdéveloppement durable
health and care representationsaccess to caredementiaageing in a city
Arts, Internet, Référencement, Sciences
History of sciences - Epistemology - Dynamical systems - Stability, robustness, landscapes - Interfaces between physics and biology
My research interests are in statistical population genetics and evolutionary genomics. I develop computational and statistical methods for the inference of population structure, demography and selection from genomic data. Our approaches are mainly based on MCMC and approximate Bayesian inference, including geographic data. These approaches aim to provide improved statistical estimation procedures under equilibrium and non-equilibrium processes in population genetics. We also study applications in coalescent theory, the mathematical properties of genealogies and the shape of phylogenetic trees.
Dynamical SystemsMathematical PhysisiologyMathematical Neurosciences
evolutionary economics, geography, innovation, NK-models, complex networks, urban systems
Experimental and theoretical investigation of foraging fungal networks
Dynamical systems: analysis and control; System biology, modelling genetic and metbaolic pathway.
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.
Software development and database designing
Bionanosensors, Reconfigurable Control Theory, Artificil Intelligence, Artificial Neural Networks, robotics, sociology.
cellular automata, discrete dynamical systems, models of human languages
sandbox dimension of the fractal structures, phase-transition of chaotic Hamiltonian system, numerical simulation of the particle physics processes
Estoy interesado en investigar la relación de la variable Confianza (como variable no lineal), responsable de la complejidad del comportamiento de las organizaciones y su relación con la teoría del Caos. Para ello planteo como hipótesis de trabajo que las organizaciones son Sistemas Complejos Abiertos Adaptativos Únicos
Modelling and Simulation of Complex Systems, System Dynamics, Economics, Transportation and Logistical Systems
Plant development, plant microbe-interactions, regulation networks, control of gene expression
Computational linguistics/semantics, dialogue systems
Statistical mechanics, Random graphs.
I am heading a group that is mostly interested in trying to understand the molecular basis of the cellular choices in higher eukaryotic cells. For this we concentrate on the self-renewal/differentiation decision making process in chicken cells. We are in the process in trying to understand how stocahsticity in gene expression affects this choice.
Graphene, Complex Systems, Quantum semi-classical approximation.
Synchronization and control of complex systems, Nonlinear modeling of complex systems.
Mathematics of complex systems: modelling of network systems and processes, graph-theoretic, algebraic and analytic methods in studying of complex systems
Central subject of interest are ecosystem and landscape functionning.
Adaptive evolution of complex, functioning, directed networks. Kauffman networks, chaos, damage spreading, simulation, structural tendencies.
See Keywords and add fiction + using Systems Thinking in education in order to train students to be able to handle complex systems in their life. Aim: build a better society. This means setting the University as a bridge between School and Industry.
Afghanistan, contemporary conflict, evidence-based multi-agent social simulation, guerillawarfare, power, social complexity and emergence (mechanisms, processes, structures), strategicstudies, terrorism
Mathematical modeling in Biology and Medicine. Partial differential equations. Morphogenesis, gene networks, adaptive dynamics, hematopoiesis, atherosclerosis, blood diseases.
Describing quantitatively organization and its change with time
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
Complexity and public policy is my primary interest. How to bring complexity concepts and tools to local policy actors is my main focus.
metadesign, design for emergence, evolutionary design methods, co-adaptive systems, socio-technical systems
My current research interests are in unconventional programming paradigms. I designed and developped the experimental MGS programming language (http ://mgs.spatialcomputing.org) where several concepts in spatial and chemical programming are designed and tested. An example is the development of a discret version of the well known differential operators. The MGS environment has been used to develop large scale models of morphogenesis (e.g., the meristem growth at the cellular level) and has been used as the modeling language of the first french teamat iGEM. My interest in synthetic biology are in the development of compilation technics from high-level spatial specification towards the biobricks. I am also interested in music and spatial music representation (at the score level) for musicology or computed aided composition and in interactive, real-time, performance.
Epistemology and Systems in Engineering... Perhaps
I have a background in Biostatistics and I'm mainly interested in developing statistical methods for population biology. My main research topic is the study of animal demography in natura. Data collected in the wild being noisy observations of demographic process (survival, reproduction and dispersal), I favour hidden structure modelling often via a Bayesian approach. I focus on issues in ecology with the impact of climate change and human pressures on population dynamics, in evolutionary ecology with the action of natural selection and life-history traits and in conservation biology with the management of large mammals (wolves, lynx, wild boars, cetaceans, ...).
Collective MotionOut of equilibrium systemsDynamical systems theory
Modelling of populationsIndividual-based modellingSimulation experiments
studies on complexity in urban systems, matemathical sociology, theory of measure for complex sytems, natural philosophy of complexity
Complex territorial systems:Epistemology and TheoriesMethods of analysisEmpirical studies
Neuroscience, signal transduction
Computer network topologies (e.g. Internet, peer-to-peer) and protocol design for such complex networks. Large-scale content distribution networks with autonomous nodes.
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.
self-organisation in living systems, unconventional computing, artificial life, role of energy in the emergence of order in living systems.
My research focuses on the mechanisms and emergent properties translating cell-level behaviors into functional tissues and organs and on the development of computer simulations to describe these phenomena. I also conduct developmental-biology, synthetic biology and microfluidics experiments.
Dynamics on complex networks
Géomatique, Système d'Information, Aide à la Décision, Gestion de la connaissance
Complex Networks & Nonlinear Dynamics
simulation, optimization
Change Management
I am particularly interested in studying the ecology of zoonosis, spatial analysis and ecological modeling of infectious diseases. I have experience in evaluating environmental and ecological factors influencing transmission cycles in zoonotic diseases, especially those related to land use and climatic changes. I have research experience in vector-borne diseases, particularly with leishmaniasis. I have been involved in projects focused on the modeling of species potential distributions and interactions using different methodological approaches.
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.
Complejidad y Transdisciplinariedad Educativa, ecoformación, formación en cuarto grado en el paradigma emergente.
Model engineering, Geometrical methods for data mining; Model reduction; Systems biology; Physical, chemical and biological kinetics
Modeling of economic and social systems.Learning in social and artificial systems.
Data privacy and security, complex social and biological networks, network dynamics and evolutions, graph dynamics, random graphs, graph and network algorithms
dynamical systemscontrolbiological networksecological modelsgenetical models
providing computational intelligence frameworks which model the emergence of global structures in a social context (e.g. artificial societies, collaborative games) and aim to procedurally investigate intervention mechanisms in order to reach global-level goals (e.g. reduction of social discriminations, increase of environmental sustainability)
I study the evolutionary process and the emergence of species in a simulated ecosystem. I have conceived an individual-based evolving predator-prey ecosystem simulation. The agents evaluate their environment (e.g., distance to predator/prey, distance to potential breeding partner, distance to food, energy level), their internal states (e.g., fear, hunger, curiosity) and choose among several possible actions such as evasion, eating or breeding. The behavioral model of each individual is unique and is the outcome of the evolution process. One major and unique contribution of this simulation is that it combines a behavioral, an evolutionary and a speciation mechanism. This is the only simulation modeling the fact that individual behaviors affect evolution and speciation. This approach allows interesting studies on theoretical ecology in collaboration with biologists. For example, this approach is used to study the species abundance distribution, patterns and rates of speciation, the evolu [...]
Theory of complex systems, complex systems boundaries and metrics
Boolean Networks
Mathematical modelingin life science
Research, design and presenting novel policy solutions working across issues at global scale.
In an international collaboration, I am developing tools for in vivo medium-throughput screening using Drosophila as model, termed the twin spot generator or TSG. As a community using TSG, Drosophila researchers will provide the first in vivo validation of candidate genes identified by high-throughput RNAi screens in mammalian and Drosophila cells. As a binary, color-coded assay for systems biology, TSG will detect phenotypes induced not only in cells harboring RNAi mutations, but also the effects of these mutations on neighboring wildtype cells. We will thus study information exchange and regulation across cell borders and potentially define regulatory feedback mechanisms that operate at the tissue level.
Airport Service Engineering
Social theorySocial networksSocial dynamics
(1) Complexity Theory in the Social Sciences, Nonlinear Dynamical Systems and Quantitative Methods in History, Transformation and Integration/Disintegration of Complex Societies, System’s Self-Representation and Identity(2) Philosophy and Epistemology of History, Religions and Ideologies
Complex Ecological Systems, particularly metacommunities of interacted organisms
* Cognitive psychology and individual psychological models. * Neuropsychological dynamics: Modeling and simulations. * Sociology, social psychology, social networks and self-organizing processes. * Nonlinear dynamics, complex systems theory, computational modelling, cellular automata. * Statistical modeling and diffusion dynamics.
practices of the internet (sociology and measures), cyber-geography, history of (scientifical) writing, technologies of the intellect of today, epistemology
Agent-Based Modeling, Complex Software Systems, Social Networks, Networked Systems, Bio-Inspired and Economic Mechanisms
Complexity and social sciences, particularly cultural anthropology and religious sciences
Global issues of solidarity, sustainability, and non-violence. Gender Equality. Human development. UN Millennium Development Goals. Role of both religion and technology in social and cultural issues. Global citizenship. Global governance.
Computational neuroscience, dynamical systems, addiction research, stochastic differential equations.
Differential equations, Difference equations, Dynamics of Nonlinear Population Models in Biology, Ecology and Dynamic equations on time scales.
Modelling interactions in the international relations system of states based on power and distance, and using different rules of behavior in the iterated Prisoner's Dilemma. Evaluating the success of balance of threats strategy in various environments.
risk and decision making modelling
Integrating people and systems.
President, Kororoit Institute Proponents and Supporters Association, Inc. Originally trained as an evolutionary biologist studying roles of genetic systems in speciation. Worked in industry since 1981 as documentation and knowledge management systems analyst - from 1990 in the defence industry until my retirement in 2007. Since 2000 I have resumed an academic interest in the emergence and evolution of knowledge in autopoietic systems at different levels of complexity: cellular, multicellur organismic, social and economic organizations, and in possible entities at still higher orders of complexity. In addition to my own thinking about the origin(s) of life, the core ideas behind my work are Karl Popper’s evolutionary epistemology and three-worlds ontology, Maturana and Varela’s autopoiesis, Howard Pattee’s biosemiotics, and Herbert Simon and Stanley Salthe’s ideas relating to hierarchically complex systems and emergence.
Complex systems in Biology, Collective decision-making in group-living organisms, collective intelligence, system biology, system chemistry, collective robotics.
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
mathematical/computational modeling and simulation of cardiovascular, renal and respiratory physiology, pathology and pharmacology. Modeling of endocrine systems. modeling of kidney (and organs) ischemia-reperfusion injury
Complexity Science in the Field of Engineering Design, Holography, Fuel Cells, Robotics, Solar and Renewable Energy
Social evolution, intentional systems, transformative learning, urban sustainability
Multi-agents modeling, comlex adaptive systems, self-organizing systems, autonomic computing, complex adaptive networks, manufacturing systems, supply chains, situated cognition,
Application and Development of nonlinear methods and models for the behavioural sciences:Developmental PsychologyBrain researchAction and Perception
technological change, innovation, social science
Complex adaptive systems in biology and economics
Evolution of language, emergence of cooperation/communication, cognitive psychology, juggling.
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.
Nonlinear Science, Statistical Physics, Chaos, and their geophysical and biological applications
I am interested in complex systems in economy, specially in the financial markets.
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?
I investigate methods for detecting events in large evolving networks. I also manage the community of Gephi, an open source network visualization platform.
futures studies, integral futures, generating changes in socio-cultural systems, the role of human meaning and foresight in evolving systems, building network of actors in the process of foresight
Multi-Agent Systems, Holonic Systems, Organisational theories, Formal methods
Analyse Non Linéaire des Equations aux Dérivées Partielles -- Analyse NumériqueModélisation mathématique en biologie, médecine, chimie et milieux poreux
multimedia, robotics, ICT, web technologies, innovative use of technology, HCI, open source learning
Biological evolution; self-organization; social systems; behavioral ecology
Data mining of electromyograph data of the forearm to get relevant features for hand prostheses control. Used techniques: time series analysis tools, support vector machines, artificial neural networks.Modeling of an action potential using a statistical physics ansatz: Poisson Nernst-Planck model.Interested in formalization of Luhmanns sociological systems theory.
Statistical physics of complex networks, sociophyscis, econophysics
I m managing high level grant program for the french government and my previous reseach was about improving athlete motor control in elite sports.
Complexity in public service systems (with particular interest in education/schooling and social welfare). My thinking is that through a process of sense-making grounded in complexity thinking (or multi-ontology sense-making), public service organisations can develop a capacity to create relevant and appropriate programmes of services fo users.
Epidemic and Social Modeling and Simulation
extracellular matrix
embedded systems, HW/SW co-design, pervasive computing, systems-on-a-chip
We are the main UK government agency for funding research and training in engineering and the physical sciences, investing around 500 million a year in a broad range of subjects from mathematics to materials science, and from information technology to structural engineering. We operate to meet the needs of industry and society by working in partnership with universities to invest in people and scientific discovery and innovation. The knowledge and expertise gained maintains a technological leading edge, builds a strong economy and improves people's quality of life. Our work is complementary to other research investors including other research councils, government agencies, industry and the European Union. We actively engage in and encourage partnerships and collaborations across disciplines, boundaries and the world. We also actively promote public engagement in science, engineering and technology.
Complex Systems, Intelligent Agents, Evolutionary Agents, Intelligent Distributed Systems, Evolutionary Computation, Medical Systems, Biomedical Computing, Medical Informatics
Adaptational possibility of complex systems, Adaptational maximum phenomenon in complex developing systems, Virtual worlds, Multyagent systems, Robotic systems, Linguo-combinatorial simulation of complex systems, Computer developing systems, Hybrid intellect
Complexity in Economics, financial mathematics, statistical mechanics
Robotics and intelligent machines, Q-analysis and hypernetworks in design
Modelling of physiological states and tissues homeostasis, from embryology to cognitive diseases.
theoretical computer science, discrete structures, mathematical approaches to complex systems, phase transitions in combinatorial optimization problems
Luis R. Izquierdo is a complex systems modeller with a strong background in mathematics, computer modelling, and economics. His main area of expertise is game theory and the analysis of complex systems.
Dynamic Combinatroics, Complex Systems, Self-Organization Modeling, Emergence, Genetic Automata, Economic complex systems
Econophysics, sociology, traffic modelling, networks
Systems integration complexity, Systems Architecture and Design, Rapid Systems Development, Sources of Complexity in Systems Design, Business Process Re-engineering
Complex Engineered Systems, Chaos and Bifurcation Theory, Machine Learning/Computational Intelligence
Application of principles of complexity to modelling real world systems
We are studying the relationship between carbon metabolism, DNA supercoiling and replication in bacteria.
Social networks in Total Institutions (hospitals, prisons etc.); Epidemiology modeling in closed community;Agent-based models of epidemic spread in tempo-spatial portait; Social change's models of society; Adaptive game theory on networks
Nonlinear dynamics and Complexity
Cognitive processes altered in depressive disorders and involved in cognitive therapies.
data quality and uncertainty, geographic information
Statistical Mechanics Complex Systems. Evolutionary dynamics, Record dynamics, Network dynamics.
economics, statistical physics, geography, urban transport, networks, social, epistemology
Complexity management, Emergent networks, Collective intelligence, Knowledge technologies, Machine learning, Social network analysis, Cognitive systems
hypernetworks, multilevel systems, organisational dynamics, multi-robot systems, road trafic systems, machine vision, planning, policy, complex systes education, Complex Systems Society
Knowledge Networks in astrophysics based on linguistic networks analysisExperimental Epistemology in astronomyThe use of complex networks in astrophysicsComplex data processing (doppler imaging)
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
Chemists already analyzed the structure and reproduced the function of many biological molecules and supramolecular assemblies. However, they are still unable to establish a link between these structures and metabolism to account for the complex phenomena which are constitutive of living matter. We precisely address this issue by designing, synthesizing and studying systems reproducing some elementary complex behavior (Systems Chemistry).
Functional Structural Plant Model applied to the analysis of plant plasticity, plant pathogen interactions, heterogeneous population.
Investigation of the spatial organization of the flow of genetic information
Cellular automata, complex systems, artificial life, collision theory, unconventional computing, excitable systems, biocomputing and computer science
inventing a new foundation for the Social Sciences based on new thinking in complexity: towards a complex generative social scienceinventing a new foundation for education science based on thinking in complexity
Is economics the next physical science?
Agent-based modelling
Lab of Dr Marcus Kaiser and his team working on the simulation of the dynamics and development of neural networks using Neuroinformatics and network analysis tools. We aim to understand the link between structure and dynamics (e.g. for epilepsy or other network diseases) and to find structural correlates of robustness and functional compensation.
Analysis of complex systems in geography. Dynamic and interactive visualisation of spatial information. Multi-scale analysis of spatio-temporal phenomena, clustering using geo-percolation and neural networks
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
very high dimensional systems, evolution, self-modifying systems, emergence, spatial modeling
Dynamic networks, Social network mining
cognition esthétique complexité learning neural networks visual motor pathophysiology
ERP Systems' Complexity, IS Success, Usability, e-Learning, LMS Systems
Nonlinear systems dynamics, nonlinear time-series analysis, chaos
economics, finance
Software Engineering, Adaptive Systems, Cyber-Physical System of Systems
microglial morphology
complex adaptive systems in skeletal muscle and myopathy, traumatic brain injury
Social representations (dynamic aspects), social simulations, chaos theory in social sciences.
Social, environmental and business development. learning, sustainable development. Scenario planning. Clusters.
Complex networks, social interactions, financial data analysis
Game theory, networks
Physical, biological and social systemsModelling complex systemsMathematical Biology
innovation, artifical intelligence, evolutionary cybernetics
Universal science of complexity and its various applications, from fundamental physics to life sciences, computer/brain science and ecology
Mathematics, Complex Systems, Dynamical Networks, Mathematical Biology, Modelling and Simulation, Non-linear Analysis, Numerical Analysis.
Organized complex system
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.
dynamical networks sociophysics
Nonlinear Dynamics and Chaos Theory; Brain Dynamics; Consciousness; Networks; Nonlinear (Bio)Signal Analysis
- complexity of software systems - complex networks, models of - constructive methods of coping with complexity - managing real complex systems
Computational Logic, Knowledge Representation, Automated Theorem Proving, Natural Language Semantics, Semantic Web, Representation Formats for Mathematics, E-Science, E-Learning.
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.
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, Networks Analysis; Complexity Theory and Algorithms; Internet Algorithmics and Game Theory;
randomness in physical phenomena, chaotic dynamics in secure communications, information security and cryptology, interdisciplinarity in research
I am interested in understanding large and highly nonlinear interconnected systems using mathematical methods.
Cognitive robotics, complex adaptive information systems
adaptive autonomous agentsautonomous mobile robotsmultiagent systems and multirobot teamsemergent behavior, learning, planning
urban models, spatial analysis, urban morphology.
Geometric interpretations of the structure, function, and dynamics of complex networks, with applications to routing in the Internet, and targeted transport in other networks.
Engineering of Complex Industrial Systems
Design, Project Mangement, Measurement of Complexity, Information Theory
Complex systems
Catherine Kyrtsou is Assistant Professor in Macroeconomics and Financial Markets at the University of Macedonia, Department of Economics, in Greece. She is also visiting Professor at the Greek Open University and the University of Montpellier I, Associate Researcher with the team of Prof. C. Diebolt at the University of Strasbourg and Scientific Expert at the University of Luxembourg. She holds degrees from the University of Macedonia (B.A in Economics in 1995), and the University of Montpellier I (DEA in 1997 and Doctorat in Economics in 2002).Professor Kyrtsou was member of the scientific committee of more than 40 international conferences and Chairperson of the 2nd WSEAS International Conference on Nonlinear Analysis, Nonlinear Systems, and Chaos, in Athens. She is an economist especially attached to the applications of nonlinear methods in financial markets, agent-based approaches, non-linear monetary dynamics, monetary policy, chaotic dynamics and economic complexity. Her work has [...]
Research in the physics of disordered systems such as structural glasses, spin glasses, etc.
Reading, Role-playing games,Travelling
Modeling and simulation of biological systems and signals
interfaces, epistemology, creativity
humanneurosciencecoordination dynamicsdynamical systemsself organization
ScalingPercolationTransport in porous matterSurfacesSuperconductors
Spectroscopies de Refexion, de transmission et de Fluorescences pour la caracterisation des tissus biologiques et les matrices alimentaires.Résolution des problemes direct et inverse de l'équation de transport radiatifs dans les milieu.Calcul des propriétés optiques
Modelling, Control, Signal Processing of Complex System
AI (artificial intelligence), MAS (multi-agent system), fishkeeping
I try to compare molecular dynamic simulations and ultrafast spectroscopy experimental results in order to improve the comprehension of molecular mechanisms involved in proteins.
Flexible transports : an answer suitable for topical socio-environnemtal needs ?
Complex systemsCognitive sciencesPsychologyMulti-Agents for modeling Complex Systems Dynamical approaches of representation and cognitionNatural optimisation
Stochastic processes (time series, fields, point processes)Strong and weak dependence
distributed systems, complex systems, multi-agent systems
Complexity in astrophysics
architecture,Visiual effects,philosophy
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.
Complex Networks, in particular Internet topology, Web graphs, P2P exchanges, and social networks.
Optimization and control in complex networked systems
(nonlinear) Control and Synchronization of complex systems Chaotic/hyperchaotic systemsChaos cryptography
I'm mainly interested in deciphering the role of chromatin structure and dynamics in the regulation of gene expression. Part of my activities also deals with soft matter and cooking (culinary physics/chemistry/biology/art/technics).
Political scientist (MFin Paris, MSc PhD Lond) specializing in Strategic Foresight & Warning for conventional and unconventional security issues, horizon scanning and risk assessment. Listed on the public list of social scientists curated by LSEImpactBlog: @LSEImpactBlog/soc-sci-academic-tweeters.
organizational and system uncertainty, control, decisions, metrics, and mathematical models of the physics of the conservation of information.
Evolution of Social Behaviour
Social and economic networks
Brain Dynamics, Neuroethics, Cognition
modelling and understanding generic aspects of living systems/ comparative application to several fields (fisheries, small rodents, scientific knowledge) / currently http://simmasto.org
biology system
Data processing Cognitive Sciences neuro-pedagogy
Automatic LearningNeuro-PhysiologyComplex Systems Modelling
Duk Hee Lee is professor at Dept. of Management Science, Korea Advanced Institute of Science and Technology (KAIST). He has led many network industries projects such as telecommunications market structure, trends, convergence, regulatory policy issues, etc. He is currently concerning about complex network and its application in social science such as measuring complexity, innovation system, network structure and economic performance. He currently serves as an editor of the Korean Journal of Industrial Organization.
Optimisation of communication systems; adaptive coding; network coding; intelligent systems.
Simulation and modelling in biology, physiology and ecology. Metadynamics. Self organizing systems. Coupling between ecological and evolutionary models. Epidemiological models. Population biology
In a few words, to build and provide well posed theoretical framework(s) for morphodynamics, both in their qualitative and quantitative aspects. The main path we consider is a geometrical point of view, for a more intuitive and 'user friendly' descriptive, and predictive representation.Another way to depict our work would be to say we try to build metrics based on inter relationships, which metrics determine a particular space, and provide a dynamical support for the description of a given system.
New project : attempt to formalize the transfer of information needed to maintain self-organized living systems and their reproduction. Combination of top-down vision of living systems and bottom-up assembly of molecular elements and events.
Adaptability and performance of business organizationLink between Leadership, Management and Innovation
kidney cell biology
I'm a master studen of CINVESTAV, IPN, Mexico; I have worked in cellular automata, and non-conventional computing; now I'm working in de Bruijn diagrams.
climbing, skiing, sustainable development
I am currently doing a master's internship on how cultural representations transform when they propagate on social networks (it's the broken telephone, but in an internet flavour). My interests are mainly in the interplay between social sciences and cognitive science, with a preference for mathematical modelling and numerical simulation. I'm interested in discovering how some features or abilities in behaviour and cognition are inherently social.
Formal methods for genomics
cognition, aesthetics complexity, modélization, experimentationinterpretation epistémology in art litterature and movies
social sciences and dataviz exploration
Complexity theory, ecological complexity, nonlinear dynamics, modeling human-environment interactions, global change
Mathematical Programming, Optimization, Complex Industrial Systems
: Foundation of Quantum Mechanics; Quantum Field Theory; Space-Time at Planck Scale; Group Approach in Quantum Cosmology; Systems Theory ;Non-Linear Dynamics; Computation in Biological and Cognitive Systems ( Logical Openness, Sub and Super Turing Systems).
social transformation
Complex Networks, Information Visualization
Random graphs and processes on random graphs; complex systems
Eric Lindblom's area of interest in psychology is in General psychology and organizational systems including organizational development, social transformation, conflict resolution and consciousness using Humanistic, Transpersonal and Organizational Systems approaches. He has authored seven books in psychology and many articles.
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 s [...]
Stochastic combinatorial programming, stochastic gradient algorithms, chance constrained optimization problems, stochastic linear and quadratic knapsack problems, stochastic submodular optimization, semidefinite and conic programming , stochastic and deterministic bi-level programming, energy production planning, network design problems for wired and wireless networks (GSM, UMTS, OFDMA).
My research is focussed on how complex systems undertake distributed computation: i.e. how they store, transfer and modify information. In particular, I am examining how these information dynamics interact with network structure, how they can be used for analysis in computational neuroscience, and if they can be harnessed for design in guided self-organization.
- Méthodologies de mise en oeuvre d'Observatoires environnementaux pour le développement durable en réponse aux enjeux environnementaux : désertification, perte de biodiversité, changement climatique- Approches spatiales interdisciplinaires, systèmes intégrés milieux/sociétés
Interdisiplinary team management
biologically-inspired MAS, self-organisation in MAS, nature-inspired computing, evolutionary and ecological approach to AI, Nature social behaviour models for AI,
Rui's research focuses on the study of complex networks and their dynamics. He devotes particular attention to the following application domains: computer and telecommunications infrastructures, services and their 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.
human computer interaction and collaboration
Complex systems, innovation, firms evolution, society and networks
"We can say that the universe consists of a substance, and this substance we will call it "atoms", or else we will call it "monads". Democritus called it atoms, Leibnitz called it monads. Fortunately, the two men never met, or they would have been a very dull argument. These "particles" were set in motion by some cause or underlying principle, or perhaps something fell someplace. The point is that it's to late to do anything about it now, except possibly to eat plenty of raw fish. This, of course, does not explain why the soul is immortal. Nor does it say anything about an afterlife, or about the feeling my Uncle Sender has that he is being followed by Albanians." (Woody Allen, Eschatological Dialectics As a Means of Coping with Shingles, Getting Even)
Currently reading for PhD thesis on complexity in finance.
emergent behaviour, synchronisation and causality, synergetic phenomena
Application of AI to complexity, multi-agent self-organising systems, industrial application of agent technology
Earth system analysisEarth system modellingTerrestrial ecosystems modellingGlobal biosphere modellingSociety-environment modellingAnthropocene SustainabilityClimate change impacts, mitigation, adaptation
Morphogenesis, artificial life, reaction-diffusion, wound healing, speciation, evo-devo, differentiation
mathematical models of complex systemssupervision and control of large complex systems
Services Science, simulations, business models, management and strategy, decision science
Goverment, corporations and NGOs capacity building for sustainable development; social change dynamics and patterns; patterns formation; emergence; management tools for managing complexity; teaching comlexity and development
chaos, complexity, dynamical systems.
Multimodal transportation system modeling and simulation Travel behaviour analysisMetaheuristics Multi-Agent system Self-organization
Individual-based modeling of bacteria interactions
Dynamical systems and applications
distributed systems, self-organization, machine learning,intelligent control systems, neural networks, data mining, ubiquitous computing, autonomic systems, embedded systems, robotics[http://cmachado.pt.vu]
Particular focus on the application of multi agent technology for real-time analysis and decision making in ERP enabled organisations.
Agent-Based Models of Democratic Governance
Complex Networks (Internet topology, Social Networks, Interaction networks, ...)Measurement, Analysis and Modelling of these networks.Study of the dynamics of these networks.
All interesting aspects of life and nature.
Analyzing Stochastic complex systems, Population genetics, Coalescent theory, Simplified coalescent algorithms (SMC, SMC'), Random graphs (Connectivity of random subgraphs of a connected graph).
Population dynamics modelling
Complexity Theory Applications. SeminarsResearchCollaborationEngagement in Discussions
Complexity; Cellular Automata; MAS, Emergence
I am a writing editor for the "Age of Quality" magazine,Multiservice networks rubric
heart rate regulation sinoatrial node
Systems
philosophy, architecure, building science, genetics
Modeling of biological networks, Game theory, Formal methods
- I am working with Lee Cronin, Yasmin Merali and Cristina Cerulli to run an EPSRC-funded Network called EmergeNET (see www.emergenet.org).- I am working with Simon Rogers and Patrick Prosser from Computing Science and Dan Haydon from the Boyd Orr Centre for Population and Ecosystem Health on evolution of evolvability.- I am supervising PhD students in social science aspects of public health communication modelling and climate change.
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
I am interested in the physiological interpretation of the complexity behind heart rate variability in health and disease. We and others have previously shown that systemic inflammation is associated with a significant decrease in cardiac cycle complexity and decreased variability. Systemic inflammation is an example of a self-regulating complex system, with multiple cascading non-linear interactions and feedbacks between immune system and cardiovascular regulatory centers. Although great strides in the last decade have helped to elucidate the pathways to septic shock and multi-organ failure, specific intervention to modify the septic cascade remain elusive. It is suggested that “complexity theory” may help us understand why single immunomodulatory therapies have failed to make a significant impact on the treatment of septic shock. Alteration of heart rate dynamics in sepsis can be considered to be a reflection of these non-linear interactions in the cardiovascular regulatory syste [...]
Transport and Traffic Simulation, Land Use and Planning, Environment, Road Pricing
Elio is PhD student at CRESS. He holds a degree in Mechanical Engineering (University of Naples "Federico II", Italy) with a thesis on Bifurcations and Chaos Theory and an MSc in Agent-Based Computational Economics (University of Essex, UK), with a thesis on simulating and testing social policies in order to increase educational levels and job opportunities within rural Mexican communities.By designing artificial societies or distributed intelligent systems enabled to produce novelty or emergent behavior, his work aims to produce tools for a rigorous understanding of social phenomena. For his PhD research, Elio is investigating the social construction of corruption. Elio's approach to understanding corruption aims to identify which social mechanisms produce resilient and endemic corruption in Italy. He is expected to submit his PhD thesis by the end of September 2011.
complexity-based decision-making and design complexity quantification & managementcrisis-anticipation
Modeling and simulating complex system is a well distributed activity because (i) the modeling-simulating process is composed of several concurrent stages; (ii) it is a collaborative activity which assemble groups of scientists coming from various research domain and various place in the world; (iii) High Performance Computing technologies become more and more required to play bigger and bigger simulation.My research focus on (i) distributed systems, (ii) collaborative systems and (iii) the modelling and simulating domain of complex system. From real case study coming from soil sciences (Technosoil Project, ANR Microbes, IRD Simycor Project), Social sciences (ANR Miro Project) and population dynamic domain, my researches provide theoretical approaches (methodologies and formalisms) and distributed modeling tools that help expert domain scientists (biologists, geographers and so one) to model and simulate complex systems.
environment, wetlands, appropriation, territory
Statistical physics, complex systems, mathematical economics, statistical finance
transcriptomics, metabolomics, data analysis, nuclear receptors, liver, metabolism, toxicology
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
Computer Simulation, Complex Systems, Mathematical Modelling
agents, End-of-Life Decision Support System, Product Embedded Information Device Technology, Extended enterprises
foundation of complexity, Emergence, chaos and other dynamical behavior of dynamical systems,complex network, self organization critically,...
Languages (expressiveness of)Complex systemsPedagogy (dynamic and reflexive)Modelisation, Design and Simulation LanguageCo-Evolution in interactive systemsHuman-Centered Computing"Enactive" Computing
Computational modeling and simulation of human organizations, organizational resilience and crisis preparedness and response.
Mitochondrion. Mitochondrial pathologies. Metabolism modelling.
Health Research
Emergence Complex Learning Community
The application of complexity science principles in organisations and management.
evolutionary computing and system design
Global Cascades, Epidemics, Degree Correlation, Clustering, K-core, Percolation, Watts Model
- Evolutionary and systemic approaches to meaning and cognition. - Evolutionary scenarios regarding the nature of mind and consciousness.- Trend to increasing complexity
The development of a rigorous foundation for using complexity science concepts and methods to advance our understanding of the dynamics of socio-economic systems in order to improve the quality of policy and management decisions and interventions in business and society.
Initiation des Systèmes Complexes et Application au développement international et à la gestion de l'environnement.
Global Knowledge and Innovation Management
Management, applications of systems thinking in social sciences (economics, management, security studies), conflict and negotiation, corporate governance, complexity and prediction in economics and social sciences
Modeling, simulation, declarative languages, topological rewriting, morphogenesis.
reading, cinema, photography, sketching, sailing, swiming, etc
networks, philosophy, bioethics
Complexity of the biological systems, in health and disease.Models of prediction for biological systems.To find a common research ground with other scientific specialities outside the biology field although with future applications for biomedical science.
Mechanics of solid, Social system modelling, hierarchical mathematics, non-standard analysis, chaos theory, theory of composite materials, ray propagation in non-linear media
Complex Systems Modeling, System Dynamics and Simulation, Decision Support Systems, Informatics and Models Supporting the Sustainable Development
Helping managers and their organisations to make improvements in complex situations
Michele Minichino has worked and works, in the field of dependability analysis, since 1981 at ENEA on research programs funded by italian research institutes/industries/government and by European Union (i.e. SHIP, ISAEUNET, SAFETUNNEL Projects). For several years, he taught, as Contract Professor at the Software Engineering Chair, of the University of Rome 'Torvergata\', and at Master National Fiscal School \'Ezio Vanoni\' of the Italian Department of Treasury.His current research interest is on modelling methods and tools for dependability analysis, extended to digital systems interconnected by communication networks.
Bio-inspired neural computing for self-organization in hardware reconfigurable units (FPGA)
Complex social systems, scientific methodology
Species and gene flow between ecosystems. Tackling the dynamic of chronically unstable metapopulation systems through network analysis
Social complexityCompanion modelling
Ubiquitous Computing, Context-aware Systems, Complex Systems, Ontologies
3D Computer Vision, soil science, Computed Tomography
To analize, characterize, model and predict (from a statistical point of view) the dynamics of complex systems, specifically financial markets
Modelling, verification, performance evaluation of Discrete Event Dynamic Systems (DEDS).Distributed Information Fusion Systems.Software engineering of Distributed Systems (middlewares: J2EE, messaging Systems, sensor networks, ...)Distributed Information Fusion Systems.
complex networks in biological, social and technological systems, non-linear dynamics, evolutionary game theory, statistical mechanics
statistics, datamining
On the one hand, my PhD deals with the estimation and the reduction of the sample covariance matrix of returns, a mathematical tool of great importance for quantitative risk and portfolio management. In a second part, the focus is on better assessing the interactions between the different market participants by analyzing and modeling a unique dataset of online traders. This is made possible through an active collaboration with the bank and online broker SWISSQUOTE BANK, also financial support of my PhD.
agent based social simulation, computer science/social science interfaces
neural networks, neurobiology, artificial intelligence, physics
Network Management, Chaotic Systems, Complex Systems
My research aims to understand the behaviour of individuals within a group: How individuals interact with their neighbors and how this eventually leads to collective decentralized organizations, as observed in human and animal societies.In particular, I focus on human crowd, a prime example of self-organized system involving human beings.
Equilibrium/non-Eqilibrium Statistical Mechanics, Disordered Systems, Noisy Computation
Evolutionary computation; systems theory; dynamical systems;
statistical learning, reinforcement learning, active learning
Travelling, Reading, Wikipedia
investigación social, sobre todo en relación con la metodología de los sistemas complejos, en el contexto de la epistemología genética
self-organized criticality, complex evolving networks, fractal analysis, heart rate variability
Statistical Physics of Information Processing in Biological and Social Networks
Living Systems Sciences & Applications; Collective Intelligence & Futures' Studies; Design Research & Advanced Visualization
Optimization, Simulation Analysis.
Multi-agentsSystemic riskSocial system engineeringSystem resilience
Machine Learning, Genetic Algorithms, Econophysics, Agent-Based Computational Economics, Probabilistic Graphical Models and Text-Mining.
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 addressing 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.
Dynamical Approaches to Cognition,Dynamical Systems,Biological Neural Systems
sustainable development and natural resources
Urban models and environmental cognition.
network modelling, evolutionary dynamic, Biomathematics/-informatics
I am Founding Editor-in-Chief of the Journals Springer Complex Adaptive Systems Modeling (CASM) and IGI Global's International Journal of Privacy and Health Information Management (IJPHIM). I am also an Associate Editor of Springer's Cognitive Computation and Wiley's ETT journals. My research is in the domain of modeling, simulation and engineering of complex and complex adaptive systems. In terms of modeling and simulation, my key interests are in agent-based models and complex network models.
Nonlinear science, statistical mechanics,probability and information theories,thermodynamics, mathematical modelling.
Noise in biological systems
services, service systems, service economies
isotropy in CA, modelization in CA, multidimensional dynamical systems, physics and CA, complex systems analysis.
Self-organized patterns (in nature, society, arts, etc.).
Evolutionary game theory, Nonlinear dynamics, complex evolving systems
Chaos and complex theory applied to the management and business, organizations as complex adaptive systems and entrepreneurship.
Processus de subjectivation, Psychologie, Ph_nom_nologie
robustness in scale-free networks
Computer networks as a complex systems. Chaos and dynamical systems. Development and programming.
Formal-based languages and technologies to support the design, development, and runtime evolution of complex software-intensive systems operating in predictable or unpredictable open environments.
Cognitive science, immunohistochemistry of neuropeptides, animal behavior, agent-based modeling, systems dynamics modeling, artificial neural networks modeling,
Modeling problems of medicine, ecology, Epidemiology
http://ototsky.mgn.ru/it
systems chemistry, origin of life, molecular networks, dynamic combinatorial chemistry
I am interested in the mechanisms that allow humans and robots to develop perceptual, motivational, behavioral and social capabilities to become capable of sharing cultural representations. In particular, I use robots to study how new linguistic conventions can be established in a society of individuals. There is a double objective: 1) contributing to the understanding of the origins of language , 2) developing new technological approaches for building intelligent social robots, which is concretized through my work in developmental robotics, also called epigenetic robotics.
physique de la matiére condensée
Biomedical signal processing (EEG, ECG), Biometrics, Brain-computer interface, Genetic algorithms, Neural network
nonlinear dynamics, chaos,synchronization, complex networks, causality, information theory, neurodynamics, geophysics
Dr.S.S.D.Pandey, Ph.D.FRAS,recipient of Wagle Gold Medal and BHU Gold Medal, Fellow of Royal Asiatic Society (Great Britain & Ireland), is an Indian, an economist by training, a researcher, author, academician, an International Strategy & Management Professional. His involvement has been quite multidisciplinary: Complex Systems & Synergetics, International Strategic Management, Development Economics & Policy Research, Logic, Methodology & Philosophy of Science.In addition, to the studies in Sophia Perennis, Eternal Wisdom,Vedica including Ayurveda. In the year 1992 he founded "Global Synergetic®, a Think Tank that endeavours to clarify the misconceptions which have been prevailng with human civilisation causing distructions, injustice and sufferings for millennia and strives for World Peace. His hobbies include drawing, painting, photography, music and pets.Biography listed in Reference Asia: Asia’s Who’s Who of Men and Women of Achievements,just after the first research paper [...]
Computer science Computer Aided Design Design languages Mathematics
dual phase evolution, open-ended evolution in-silico, emergence of modularity
Plant developmentRegulation of gene expressionBiochemistry of transcription factor
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.
Individual based modeling of ecological systems; Individual based modeling at the sub-cellular level; computational biology; systems biology; quantitative ecology; landscape ecology
Complex Systems, Physics, Econophysics, Internet mapping, off-eqlibrium properties,
Epidemics and multistrain dynamics. Stochastic amplification in epidemics. Pattern formation in solidification and precipitation of alloys. Dynamics of fractures.
I apply the theory of ecological complexity and the methods of ecological informatics to resolve theoretical and practical research questions related to ecosystem and landscape engineering (management, monitoring, restoration and design).
semantic metrics design, semantic networks structuring
agent-based social simulation, geography, mathematics, planning, software development
network analysis, coastal ecosystems, food-webs, resilience
Temporal dynamics in spiking neuron networks,Polychronization,Emergence of synchrony in division of labour,Learning in deep networks
NHS, Leadership, OB and ComplexityCES and Social Systems
Natural Sciences. Medical Sciences. Social Sciences. Humanities
LinguisticsCognitionAutomatic Speech Processing
Metacognition and artificial agents. Computational Neuroscience.
urbanisme, planning, soutanable developement, sociology
System Dynamics && Agent Based Modeling and Simulation && Computer Science
Lake EcologyFood websPaleolimnologyStable isotopesFatty acidsZooplankton
to develop mathematical modeling approaches in immunology
Computational complexity,Algebraic complexity
Most of my research aims at understanding the form of biological patterns: how these patterns emerge from the interactions of different elements, and how in turn the form of a biological object influences its functioning and its evolution over time.
Directrice du RNSC
Food engineeringModellingKnowledge integration from microscopic to mesoscopic scaleexpertise handling
collective motion in system of self-propelled particles; synchronization in system of mobile agents; epidemic spreading in system of mobile agents; evolution of bipartite networks; stability of complex networks under general disturbances
My research interests include spatial and spatio-temporal probabilistic modelling on graphs (Markov random fields, interacting particles systems), approximation of spatial complexity (pseudo-likelyhood methods, cluster variational methods), probabilistic model estimation and simulation, equilibrium analysis, with applications in epidemiology and image analysis.
The in vivo observation of living systems morphogenesis at the relevant spatial and temporal scales provides measurements to achieve an integrated phenomenological and theoretical reconstruction of molecular, genetic and cellular dynamics.
Dynamics of Biological systems: Neuronal network, protein regulatory network, decision-making, adaptation, evolution, cognition.Tools: computational models, dynamical system theory.
Discrete dynamical system, combinatorics, partition
Parallelisation and Distribution of multi-agent systems
modeling of tropical forest dynamics
systemic prospective, knowledge management, anthropolicy
Fundamental of Commerce; Commercial Transactions
agent-based social simulation,artificial intelligence, cognitive science,dynamical systems and applications, epistemology, economics, econophysics,history, international relations, management,mathematics, languages, linguistics, philosophy,psychology, robotics, network theory, neuroscience, political science, research methods, sociology, sociology of scientific knowledge and science policy, sociology of the evironment and traffic planning.
Evolution of cellular structure Atmospheric dynamics Image processing and its applications Nanotechnology and its true benefits
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.
risk perception, risk regulation
Ecosocial system dynamics and spatial referenced agent based models
A unification of Complex Systems methodology and Information theory to create a unified theoretical infrastructure for both biological and cultural evolution
Numerical methods; Finite element; EDP;
Graphic Design, Astronomy, Photography
Auto-organisation - Correlativity - Developmental re-organisation - Dynamics - Intra-connectedness - Morphogenesis - Non-linearity - Photoperiodism - Phenotypic plasticity -Phenomenology - Transition to flowering - Variability
social theories of complexity, limits of knowledge, philosophy of complexity
currently, I work in GRID computing. I'd like to understand computing grids as complex communication networks in order to optimize their global behavior. Other personal interests are; mind & behavior
system neuroscience; computational neuroscience; systems dynamics
Statistical Mechanics, Nonlinear Dynamics, Complex Systems, Fractals, Bioinformatics, Reaction-Diffusion Systems
Geography, complex systems modeling and simulation, self-organization, catastrophe, risk, ontology, human behaviour
Physics-inspired modeling of biological and biology-inspired complex adaptive sensorimotor systems
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.
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.
Development of Top-bottom Technique of the Complex Adaptive Systems (CAS) Modelling (so-called the Method of Systems Potential (MSP)). Holistic approach: exploration of "emergent properties" as "thermodynamic" regularities of ensemble of interacting adaptive agents. Formalization of "laws of dialectics" (developmental spiral, sudden qualitative changes of CAS structure (metamorphososes), the development via resolution of inner contradictions) - "mathematical dialectics".Investigation of widespread "emergent properties" (such as punctuated equilibrium, SOC, sudden reconfigurations, fractal properties in structure and dynamics, long memory, sudden catastrophes, cycles and so on) by means of a new analytical apparatus (MSP-technique). Application of Lamarckian evolutionary laws in CAS-Modelling.The elaboration of MSP-Applications in management, finance, stock markets, economics, business cycle theory...
RNA prediction, energy landscape, network analysis
Social Networks, Collective Behaviour, Group Performance, Fractals, Graphs
Complex systems (modelling and simulation).
Develop an agent-based model and simulation for reef fishery in Spermonde Archipelago, Indonesia. Looking at its social-ecological dynamics. Develop a method for community adaptation to the changing climate in Indonesia. Working on social network analysis in marine and coastal area as well as in terrestrial based natural resources governance.
Systems biology, Complex fluids
Understanding the mechanisms of molecular transport between the boundaries of symbiotic systems, especially between insects and resident bacteria. This also involves projects on the development of ontologies for classification of genomic (sl) experimental data in terms of spatio/functional organization (Insect Atlases linking the organisms physiology to the existing genomic ontologies and sequence data).
Agent-based Computational Finance, Complex Adaptive Systems
William Rand examines the use of computational modeling techniques, like agent-based modeling, geographic information systems, social network analysis, and machine learning, to help understand and analyze complex systems, like the diffusion of innovation, organizational learning, and economic markets.He received his doctorate in Computer Science from the University of Michigan in 2005 where he worked on the application of evolutionary computation techniques to dynamic environments. While finishing his doctorate he was involved in a large scale research project that developed an agent-based model of residential land use in the Southeast Michigan area. Later as a postdoctoral research fellow at Northwestern University in the Northwestern Institute on Complex Systems (NICO), he continued to develop his interest in agent-based modeling and evolutionary computation, and began combining these techniques with social network analysis. He is currently co-authoring a textbook on agent-based mo [...]
nonlinear control systems
Complex systems, Physics, Econo-physics, complexity education
Complex systems, Multi-Agent Systems, Artificial Life, Epidemiology
daily travel and activity location behaviour
Human complex systems
Dynamical systems : Mathematical and numerical analysis, Retarded differential equations : Center manifolds and bifurcations, Modeling in dynamics population, Symbolic and numerical programming
agent-based models socio-economic networks network dynamics organisational strategies
stochastic cellular automata
statistical complexity, probability theory, financial systems, synthetic biology
Cellular signallingG protein-coupled receptor biologyReproductionSystems Biology
agent based simulations, supply networks, transport processes, self organization, emergence
Kurt A. Richardson is the Associate Director for the ISCE Group and is Director of ISCE Publishing, a publishing house that specializes in complexity-related publications. He has a BSc(hons) in Physics (1992), MSc in Astronautics and Space Engineering (1993) and a PhD in Applied Physics (1996). Kurt's currrent research interests include the philosophical implications of assuming that everything we observe is the result of complex underlying processes, the relationship between structure and function, analytical frameworks for intervention design, and robust methods of reducing complexity, which have resulted in the publication of over thirty journal papers and book chapters, and ten books. He is the Managing/Production Editor for the international journal Emergence: Complexity and Organization and is on the review board for the journals Systemic Practice and Action Research, Systems Research and Behavioral Science, and Tamara: Journal of Critical Postmodern Organization Scien [...]
Econophysics, statistical physics, agent based models, risk, cooperative phenomena, emergence and concepts of God
Philosophy, phenomenology, neurosciences, introspective behaviorism, cognitives sciences, evolution patterns, epistemology, geography and history.
robotics and control, computational intelligence and adaptive systems, fault diagnosis, optimization
Opinion Dynamics, Socio-Physics, Social Complex systems.
Research and consultancy/advisory to SMEs and governemnt bodies into the application of methodologies to approach complex systems in business and social environment. Concept Design for new technologies and organisational structures based on complex systems coding and/or decoding. He copyrighted a methodology named SPOSTA for the coding and decoding of systems at various degree of complexity using semantic layers.His other research interests are in the fields ancient history, philosophy, cross-cultural and inter-religious fetilisation, socio-economic development, optimisation of social-work otium-negotium organisation in human and animal communities.
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.
I am interested in discovering new critical phenomena in the flow of complex systems that are relevant in environmental processes and engineering.
5.1 Psychology 5.2 Economics 6.3 Other humanities (philosophy)
A critique, from a Complexity Science perspective, of the use of animals in scientific experimentation .
most all interesting processes in nature are highly cross linked. In many systems, however, we can distinguish a set of fundamental building blocks, which interact nonlinearly to form compound structures or functions with an identity that requires more explanatory devices than those used to explain the building blocks. This process of emergence of the need for new, complementary, modes of description is known as hierarchical self-organization, and systems that observe this characteristic are defined as complex . Examples of these systems are: gene networks that direct developmental processes; immune networks that preserve the identity of organisms; social insect colonies; neural, physiological, and technological networks that produce intelligence; ecological networks; social networks comprised of transportation, utilities, and telecommunication systems, as well as economies.I am interested on basic and applied research on simulations and analysis of complex adaptive systems, as well as [...]
Education programs for quantitative and computational methods in the social sciences. mulit-agents systems. simulation of social , cognitive, and linguistics processes. interaction design.
Statistical mechanics of social, economic and financial systems
My research is centered on nonlinear dynamical systems and stochastic processes. In particular, my current activities focus on networks of coupled limit cycle oscillators, synchronization and adaptive mechanisms.
Innovation, creativity, organizations, management and organizations
I am interested in studying the epistemological assumptions of complex system approach; as well as in developing a methodology rooted in complex system in the field of Social Science. I am also concerned with the entailment between: complexity and education, complexity and politics, complexity and logic. Besides, the implications of the complexity paradigm in: 1. re-thinking the scientific practice and the role of ethical and political values within it, 2. Educational reforms and thought reforms. 3. the articulation between complexity and democracy and new ways of thinking a political reform in the planetary scale.
Social networking, Web 2.0 applications, innovation networking, virtual Infrastructure modeling, endogenous development
Oscillator networks, Neural networks, multi-robot systems
Computer vision, Evolutionary autonomous intelligent systems, Neural/neuronal networks, Biology of vision, Pattern recognition, Machine learning, Graph theory/Q-analysis, mathematics, Psychology of vision, Knowledge-based systems
Dynamical systems, synchronization, data analysis
Modelling olfactory transduction and neural processing in the first olfactory centre of the brain. Trends in macroevolution
I am author of From Catastrophe to Chaos: A General Theory of Economic Discontinuities; Complexity in Economics; Handbook of Complexity Research, the last two edited volumes. I teach economics at James Madison University and edit the Journal of Economic Behavior and Organization.
Discrete dynamical systems on networks. Application of neural network to financial data. Networking, parallel and distributed calculus. Self similarity, self-affine processes, long term memory. Agent-based computational economics.Decision support models.
Modeling control and signal processing of complex systems
common tools and methods for large networks arising in various complex systems fields
Formerly Head of Strategic Analysis and Operational Research at the Department of Health, England. Currently President-Elect of the Operational Research Society
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.
Systèmes et algorithmes distribués, algorithmes probabilistes, réseaux de capteurs
The subject of my PhD deals with resilience of complex sociotechnical systems, such as transportation systems.
Investigating Artificial Intelligence as emergent property of complex systems. Designing adaptive business processes.
Applications of Complexity Science in Business/Management
My research interests mainly concern the control of spatio-temporal processes and the monitoring of these processes when they are imperfectly observed.My research is applied to problems encountered in agriculture and natural resources management (invasive species detection and eradication, epidemiology, forest science...).
complex system engineering
The long-term goal of our group is to provide a dynamical quantitative and integrated description of molecular coordination and organization within macromolecular complexes at different scales in living material. it consists in inferring the relationships between the structure of macro-molecules and their functions. A key issue in this respect is to integrate various imaging modes to obtain coherent and continuous information.
I am interested in the development of new computational models, inspired in the cognitive behavior, with the purpose of improving engineering tasks
Author of 'Long-Range Futures Research: An Application of Complexity Science'. His interest has been the use of complexity science to provide an evolutionary model for the civil system, that can out-range United Nations reference scenarios to beyond 2150.
agent-based simulations of organizational decision-making, especially mass egress, evacuation and emergency response during and after disasters
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
I am interested in the development of theory and data analysis of complex systems. Computer modeling of these systems is also a great way to examing the complexity that cannot be seen otherwise. ' 'Materials Physics, Continuum Physics, Mathematical Modelling
Distributed systems, multi-agent systems, Systemics, complex systems, cognitive systems
epistemological and methodological questions related to simulation in social science in general, for modeliing spatial systems in particular.
Study of the gene regulatory networks through the bioinformatic analysis of DNA enhancer sequences.
Complex, large-scale, distributed, intelligent control systems.
Machine Learning, Abstraction, Agent-based Simulations
complex system, simulation, multiagents, multi scale, multi modelling, celullar automata, interaction, behaviour, 3D, interactive simulation
Mammalian Vision, Computational Vision, Embryogenesys, Complex Systems, Learning, PDEs, Subriemannian Geometry
Nonlinear dynamical systems, complex systems
Law and complexityLearningInteractions between normative systems
Networks, Behavioral Economics, Philosophy, Ethics, Legal Systems, Complex Systems, Leadership, Governance, Standards & Codes
* Complex systems: Complex dynamical networks, collective behaviors, nonlinear dynamics, pattern formation, self-organization, multiscale phenomena, social systems, modeling, simulation and visualization of complex systems* Artificial life: Self-replication, self-repair, cellular automata, artificial chemistry, swarm behaviors, artificial evolutionary systems, robustness and evolvability of artifacts, application of artificial life to media art* Mathematical biology: Theoretical population/evolutionary biology, spatially distributed ecological or evolutionary models, multilevel selection, speciation* Computer & information sciences: Automaton and formal languages, computation theory, information theory, parallel computation, nature-inspired computing
Diagrams for representation of complex sistems, Visual epistemology, Social Sustainability, Communication Design tools for the processes of Social Integration between Complex Systems
Complexity in Computer Science - Self-organization in discrete stochastic dynamical systems - Stochastic Cellular Automata - Social and Peer-to-Peer Networks - Blind Scheduling - Self-assembly
Main research interests- Simulating innovation – innovation as simulation (VKS simulation collaboratory)- Models of self-organisation for complex systems website CREEN project- Innovation dynamics and evolution of social systems- Bibliometric analysis and evaluation- “Landscape theories of social change” - Geometrically-Oriented Evolutionary THEories- Evolution of research technologies, in particular Web technologies- Web based science, technology and innovation indicators website WISER project- Simulation tools for social scientists
Nonlinear Processes and Systems in Geophyssics and Environment, Scaling, Multifractals, Turbulence.
In my current project, I analyze and visualize complex networks in art history and archaeology in collaboration with physicists. Regarding method I focus on evidence based approaches that are both quantitative as well as qualitative. Recent papers and talks map the complexity in curated databases, bring evidence for 550 years of sample and remix, show how simple life deconstructs utopia, and approach the phenomenon of canon in art. Besides research, I am organizing symposia such as "Arts, Humanities, and Complex Networks" at NetSci2010/2011 and "High Throughput Humanities" at ECCS2010. Previous work includes my Ph.D. about reception and visual citation, and a 10 years plus consulting experience within the tetrahedron of project-partners, users, programmers and customers - in particular with Projekt Dyabola, a pre-semantic-web graph database technology.
Objects : abstract systems, biological,cognitive, social systemsQuestions: complexity concepts, decomposability, reverse engineering, explanation, ontology and epistemology
Modeling and analyzing complex discrete systems (SAT, CSP, NP-complete and above problems).
Modeling coupled social-ecological systemsResilience and Adaptive Capacity of Social Ecological SystemsAgent-based Modelling
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
Complexity Theory, Industrial management, industrial production, Q-analsysis
Bowling, Movies1
Psychology, developmental psychology, education
My research focuses primarily on dynamics of markets and consumer behaviour. I am interested in examining emergent social phenomena of all kinds in different markets, both from the perspective of shoppers as well as firms and various intermediaries. I prefer interdisciplinary methods combining microeconomics, evolutionary game theory and social psychology to build behavioral models which can be tested within an agent based framework. I am also actively engaged in research involving model validation and verification methodologies using real life data sets as well as experiments. I come from an microeconomics and applied game theory background, and is engaged in research in these fields as well.
High energy physics, atmospheric science, mathematical modelling.
supply chain complexity
* Member of the Management Group of the Complexity Collaborative Research Network at Brunel University.* Vice-Chair of the International Special Interest Group in Decision Analysis and Support.* Co-ordinating a research project on Risk Analysis in Complex Systems co-funded by Barclays Bank.* Hybrid computational intelligence approaches to the representation, fusion and processing of information from different sources characterised by variations in reliability and imprecision. * Perception based decision analysis in finance and management, derived from decision relevant information as a mixture of measurements and perceptions.* Risk analysis incorporating quantitative data and behavioural information.* Co-evolutionary knowledge representation through multiperspective generalised constraints.* Decision support and multi-agent intelligent information systems.
My main interests are:- complex systems biology, i.e. the search for generic properties of living systems- self-organization- innovation in complex systems
Disordered systems, Complex networks Dynamical Processes and Transport Phenomena Non-equilibrium Statistical Physics
Very large transportation systems, transport models, emergent dynamics, urban planning, multilevel representation, traffic flow theory
The Internet as a complex system, network motifs,networking and distributed algorithms, Routing and reservations, QoS routing, Internet mapping and modeling, Active networks
metaheuristics
Social organizations modelling, analysis and simulation
Mathematical Models, Logical Models, Linguistic Models, Mathematical Systems, Logical Systems, Linguistic Systems, Mathematical Structures, Logical Structures, Linguistic Structures
Viability theoryExpert Knowledge Food processes
Detect and characterize emergent scientific trends, from the abstract corpus of scientific databases of articles
Ionoelectronics and complex systems
Firm as a complex system; Interfirm and interorganizational networks; Knowledge management
Whole plant-environment interactions,Dynamic modeling,Water transfer,Hydraulics in plant
Postmodern Sociology, Cultural Studies, Artificial Society, Dynamical Psychology, Social Theory, Agent-Based Programming, Philosophy of Science,Computational Finance.
Mathematical modelling, complex systems, cellular automata, self-organization, cognitive neuroscience
Japanese culture; Japanese swordmanship; Shinkendo
dynamical systems, bio-geomorphology, policy, decision making under complexity
Biocomplexity, Complex Networks, Cellular Automata
Manufacturing systems, supply chains, distributed organisations, major programmes
Evolutionary developmental systems theorist who studies science and technological culture with an emphasis on accelerating change, computational autonomy (human-independent machine learning) and technology foresight.
Starting from neural networks in the 1980's I've gradually become more interested in the biology/neuroscience/computing interface. Now I'm involved in multi-scale systems, as well as early auditory processing and neuroinformatics. But really I'm an engineer who wants to build things.
Independent researcher using the Meme Media imprint motivated by the problem of finding ways of inducting the young in emergence, systems and complexity which short cuts the life's journey it has taken most of us to get there. Deep in the sixth and largest of six major discrete systems experiments across 26 years in quest of better understanding the constraints that a hypothesised discrete underlying process places on physics, cosmology, biological and transhuman systems.
Complexity Theory, the understanding and application of complexity in knowledge sharing, creativty and regeneration.
Semiretired. Since 1994, part-time researcher in the application to economics of complexity, with six papers and one collaboration published. Member, Wheeling Committee [Law 73] , Dept. of Economic Dev. and Commerce, Commonwealth of Puerto Rico.
Human CAS as a distinct field, allowing systems to model themselves, breaking CAS away from an obsession with simulation models (confusing simulation with prediction is as bad as correlation with causation)/
cognitive economics, game theory, network theory
My research interests are the area of : Numerical Analysis, and Computational Fluid Dynamics More specifically Numerical technique for non-linear partial differential equations by1-Finite difference2- Finite element,3- Similarity reductions4- Adomian decomposition method5- Variational iteration method6 - Modified tanh-method. 7- Exp–Method 8- Cosine-Sine method9- Direct Algebraic Method
Physics and econophysics, Common Complex Collective Phenomena in Statistical Mechanics, Society, Economics, and Biology.
Biology, evolution, biodiversity, socioeconomics, biospherics, economy, cultural and natural selection, ecology, history, markets, filosophy, politics, global civilization, technology, computing, accelerating change, evolving complex systems and networks, random self-organization, human cognitive selection, psychology etc.
My scientific interests have been mostly concentrated in wave matters, with applications in Rossby wave, internal wave and surface wave theory and modeling, and specific focus on various processes in the nearshore such as nonlinear effects, wave-induced hazards to the coastal zone, wave-driven sediment transport and changes to optical properties of seawater, coastal protection and coastal zone management
Artificial Intelligence, Artificial Life, Natural Ressources Modelling, Bio-economic Modelling, Simulation, Multi-agents Systems, Dynamic Systems
volleyball
Networks, Principal agents
I'm interested in the problem of creating open-ended evolutionary systems, and how to know when one has done that.
Archiecture, evolution in design, morphology of buildings, urband morphology
love sailing, hiking rainforests, creating virtual world simulations
sociophysics, mediators, complex systems
modeling and control of wastewater treatment processes, optimisation of bioenergy production
emergence. multi-agent simulation. genetic programming. computational biology, ecology, sociology and economics
Modelling the Evolution of the Aerospace Supply Chain, Evolution Management, sustainability fishing, mathematical methods in climate change, complex socio-economic systems. financial trading systems, banking, water quality, Object Oriented software development for concurrent and distributed systems.
Influence of long-range dependencies, feedback and nonextensivity on complex computer systems behavior.
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.
I am the coordinator for the consortium submitting a bid for funding of the SOCIONOME-Metaloger project in FET COSI-ICT workstream
Applications of complex systems and evolutionary dynamics in biological and socioeconomical contexts
Self-organisation and emergent phenomena in biological systems.Microtubules and the cytoskeleton
Self-oranization, origin-of-life, artificial cells
epistemic networks, dynamics of networks, information diffusion, social networks, obesity
Immune Systems Modelling Multi-Agent Simulation Computer-based Hypothesis Verification Evolutionary Computation
Chemical and biological kinetics Nonlinear dynamics Oscillations, waves and patterns Complex systems Biomimetics
Quantum Theory, Insurance, Risk theory
dynamical systems, bifurcations, chaos, adaptive lotka-volterra systems, networks
Brain research, Eco-geomorphology, CAD-CAM, Complex Systems,Algenraic Geometry, Algebra, Artificial vision,
Behavioral neurosciences, interlimb coordination
environmental, human, socio-economic systems
complex networks, cellular automata, cellular systems, random boolean networks, dynamical systems, cognitive science, artificial life, artificial chemistries, defect- and fault-tolerance, development, learning, evolution, dynamical hierarchies
Design, Education, Architecture, Art, Science, Philosophy, Literature, Design TheoryArchitectural Theory
Collective Behaviours in Animal Societies (Social insects, Fish Schools, Herds of sheep, Pedestrians in crowds)Swarm Intelligence in Natural and Artificial SystemsSelf-organisation in Biological Systems
Renal Physiome, renal physiology; modelling of integrated physiological function from cellular to whole organ scales; regulation of arterial pressure/hypertension
education, design, modelling
Complexity Social SystemsComplexity in Leadership and social dynamics Post Structural research and complexity Agency and Power
I am involved in a PhD program where I try to study genetic and trait evolution of wheat varieties/populations cultivated by a group of French farmers. These farmers are distributed in heterogeneous environments. They are socially linked together through local and national organizations and they exchange seed lots together.
Dynamics and homeostasis of lymphoid cell populations of the immune system_ Modeling and simulations of lymphocyte differentiation and dynamics
My interest is in preventing accidents and failures in large corporations and government service delivery. Developing targeted behaviour change through systemic data interrogation viewing the corporation as a complex adaptive system. Adaptive, systemic, targeted corporate performance improvement, to prevent injuries and environmental failures.
Mathematical epidemiology, social networks, individual-based models, spatially distributed systems, evolutionary game theory, stochastic modelling, computer simulations.
Evolutionary computation, complex networks, automata networks, social networks, evolutionary games
Applications of evolutionary computation to real-world problems.
Synchronization phenomena. Diversity-induced effects. Resonance. Phase transitions. Dynamics of Social Systems.
Plant development, meristem function, flower development
My personal interest centers on multiscale and individual based (multiagent) modeling. I applied that to fluid mechanics, to ecology and more recently to transports. The latter is my main interest nowadays, especially multiagent simulation of traffic, for example through the projects PUMAS and MOSAIIC (with UMR IDEES).
Space Time Pattern Analysis,Stochastic Geometry,Stochastic Processes,Particles Based Methods
Molecular Genetics, Gene expression, Neurobiology,
social and labour movements, theory of work, immaterial labour
Languages, econophysics, opinion dynamics, solid state physics, biological systems, nonlinear bio medical physics
The origins of intelligence
Trust models
cybernetics, systems science, epistemology, self-organization, adaptation, reflexivity
complexity, social theory, car systems, globalisation, tranport, travel, tourism
Education about complex networks, ecosystems ecology, systems science, cybernetics, sustainability, environmental studies.
modelling resource user behaviour in complex ecological systems
self-organized criticality, complex evolving networks, fractal analysis
sociology, environmental problems, multiagent simulation, evolution
Agent-based modeling
Biologie / Cancérologie
ecological and multi-physic simulations,using rule engines and ontologies to build software applications,botanical descriptions and biodiversity
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.
Fuzzy Systems Modeling and Optimization, Educational Systems Engineering, Environmental Risks Modeling and Policy Analysis
Modelling of city traffic including bicycles using a cellular automata based model.
Researcher in the field of Intelligent Systems, Data Processing, Knowledge Extraction for analysis, control, prediction and forecasting for complex systems.
networks, communication networks, statistical physics, chaos, econophysics
I am interested in social change and the historical evolution of social networks. My work deals with networks of large business and politics, civic project networks, and symbolic webs.
Language, cognitive semantics, computationnal linguistics
evolutionary computation, computational cognitive modeling, cellular automata, biological systems, population dynamic, bio-inspired algorithm
Systems engineering en development methodologies. Managing complex systems.
evaluation of complex data in medical time series, eg manometry
• 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 t [...]
Vespignani’s research activity focuses on the interdisciplinary application of statistical and numerical simulation methods in the analysis of epidemic and spreading phenomena and the study of biological, social and technological networks.
education - relations between individual and collective activity in the classroom - emergence of social configurations - teaching and learning -
ideazione e realizzazione macchine a controllo elettronico
Theoretical Computer Science, Graph Theory, Complexity and Approximations, Game Theory
Modélisation de systèmes complexes en sciences cognitives et en sciences du langage
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.
Stochastic Dynamical SystemsFiltering theoryStochastic controlNeural NetworksOptimal design of experiments
Complex Systems and General Psychology.
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 interdisciplin [...]
biology, biomimetics, fracture mechanics, mechanical properties of biological materials, TRIZ, biorobotics
Natural variation in gene expression and other molecular phenotypes. Gene network analysis, quantitative genetics and the combination of both.Analysis of complex traits in general.
Physiologically structured equations to describe the cell division cycle in proliferating cell populations, therapeutic control, optimisation under constraints of anticancer pharmacological treatments, Darwinian evolution, epistemology, history, history of medicine and of mathematics, Greece in general (antique and modern) and Greek language (ancient and modern), Mediterranean civilisations, what else?
Agent-based modelling, language evolution, language acquisition, self-organisation, cultural evolution, symbol grounding, social networks
Partial differential equations,mathematical modelling
I develop technics using combinatorics, coding, algebra, discrete geometry and discrete dynamical systems. I have co-authors in France, Italy, hungry and Canada. My implication in research is at the frontier of theoretical computer science and discrete mathematics and I make the valorization of my results in both communities.
bio-inspired algorithms, nonlinear time series prediction, simulation and synchronization to the environment, chemical reaction networks
social sciences , cognitive economics , behavioral game theory ,
Biocomputation, Bio-Inspired solutions, Complex Systems, Artificial Intelligence, Autonomous Agents, Distributed Computing, Clusters, Grid, Genetic Algorithms, Evolutionary Computation.
Redefining quality and quality improvement through a complexity perspective. Group dynamics and processes of negotiating meaning and purpose. Respectful dialogue processes. Defining leadership through complex systems perspective. Conflict resolution and organizational culture.
Data Integration, Machine Learning, Biological System Modeling
Football, music, travel
Modelling: Financial Engineering, Complex Systems, Learning (incl. paradigm of learning, Multi-agent aspects, Reinforcement Learning), System Identification, Neural Modelling (incl. Neural Networks), Game Theory, Statistical Data Analysis, Intelligent methods of detecting hostile hacker attacks Computing: Linux, Network solutions, Grid technologies, Security aspects, Programming languages.
Complex systems, Mathematics, Connexions
Emergence and evolution of socially relevant pathogens. Environmental mediators of epidemic manifestations and outcomes at the molecular, cellular, and social levels. Modeling and simulation that allow one to address questions of pathogen evolution, emergence, and spread encompassing these three levels of mediators.
My current research explores the relationships between robustness, evolvability, and complexity and why these relationships change between engineered and biological systems. Applications of this research have looked at evolvable G:P mappings for evolutionary algorithms applied to dynamic optimization problems, design concepts for developing robust and adaptable transportation vehicle fleets, and design concepts for enhancing reconfiguration flexibility in manufacturing assembly systems. Current theoretical studies are also investigating biologically plausible causes of criticality in gene regulatory networks, specific properties of biological phenotypes that influence ecosystem resilience, and the causes and therapeutic implications of cancer evolution.
networks, structure and dynamics, complex network models, cross-cultural research, urban systems, world economy, historical dynamics, q-entropy models
Mathematical Modelling, Systems Engineering, Uncertainty Analysis
natural computation, quantum computation, information theory, structural complexity, foundations of complex systems
reasons of the perpetuation of the student's fights within l' UGEB, (trade union students) of 1960 to our days
Artists using complexity as the basis for work. Interested in most aspects of complexity in terms of human society and the natural world.
Use complexity methods to model diverse complex biological and non-biological phenomena and properties, especially those relating to stem cells, genetic regulatory networks and drug action. Affiliated with CSIRO Complex System Science Group, and COSNet.
Specialising in data analysis & experimental design.Steadily learning more of NetLogo as I test various forms of aggregating individual-level decision-making.
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.
Nonlinear dynamical systems, biocomputing, high performance computing, scientific visualization, multi-scale modeling, quantum phenomenology, theoretical biology, gerontology and geriatrics, neural systems and aging, abstract complexity theory, decay of hierarchical structure, nanobots, installation sculpture, music - conducting, composition, electronic music, sonic synthesis
Computational Neuroscience of VisionComputational Neuroscience of Learning and AdaptationComputer VisionMachine Learning
Algebraic Statistics. Search and optimization. Tube theory. Bayes Nets and Time Series. Industrial Statistics. Risk and decision.
complex networks
organization and function of the immune system, mechanisms of intracellular signaling, information and communication, systems biology
Agent based simulation, network theory, agent architecture, wargaming, artificial intelligence
CONTAMINATION
bioinformatics, hematopoiesis, complex systems, physics, multi-agent, emergent phenomena
Consciousness, Brain Sciences, Music and Arts
Self-organization and Emergence,Massive Data analysis
Modelling economic dynamics with boundedly rational learning agents.
Interested in the study of Complex Systems, in a wide sense: from Complex Network, to transportation systems or cryptography.
I am searching here possibilities to discuss standards as open systems, standards encouraging innovation (Your considerations and experiences), new standards taxonomies, architecture and complexity of standards for the Lead Market Initiatives, strategic outcomes of ICT projects under FET and the deep European innovation policy analysis. My aim is to become a researcher for applied Complexity Science. My favorite book is "Logic of Social Systems" by Alfred Kuhn so far. I am lawyer (State University - Higher School of Economics, Russia) and policy analyst (Master in International and European Relations, Linköping University, Sweden). I have good knowledge in mathematics, physics and enjoy algorithms for programming. I want to go further.
statistical physics of disodered systems, combinatorial optimization, hard constraint satisfaction problems, glassy behaviour, message passing algorithms
Complex networks, Internet topology
* Systems biology in cancer studies * Bioinformatics: sequence analysis * Visualization of multidimensional and complex data * Model and dimension reduction in complex systems
I am interested in relationship between network topologies used to describe complex systems and processes related to this systems. More specifically I am interested in distribution of knowledge in a system, efficient paths of learning and utilization od distrbuted information
My research focus is in Artificial Intelligence, on Machine Learning (predictive analysis) and Change of Scales (abstraction) for Modeling Complex Systems. I rely on Multi-agent Simulations and Machine Learning algorithms to address problems where multi-scale and data integration are key issues. My fields of application include Metagenomics, Nutrigenomics, Epidemiology, Decision-support Research for Environmental Applications and Models.
I am interested in the interdependence of a network's function, structure and evolution. We are interested in building models for real dynamic networks and in building a theoretical framework for the construction of self-organized technical networks. I have some knowledge in analyzing networks with centrality measures and will be happy to assist others in this field. Currently I'm most interested in the structure of real-world problems and how to use them for more efficient algorithms.
President of Eurobios
Dynamics of social dilemmas; Human behaviour dynamics;Control orientation dynamics; Business Dynamics;
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)
Past activity: application of Birkhoff normal forms for symplectic maps to accelerator physics. Recent activity: the research activity concerns the study of dynamicalmodels relevant for social and biological systems. In particular there have been considered the applications of dynamical systems theory to neuronal networks, evolution models andurban mobility models. Study of the properties of the BCM neuron model for synaptic plasticity by considering the effect of a stochastic noise in the external stimula. Analysis of GPS data for single vehicle trajectories to look for universal laws and emergent propertiesof statistical systems whose particles perform a cognitive behavior. Study of an automaton gas whose particles have to move in simple network-like space and take decisions in order to study the existence of self-organized states and of emergent properties.The research activity is performed in the "Physics of the City" Laboratory of the University of Bologna
Informatique Théorique, Systèmes Dynamiques, Théorie de la complexité, Calculabilité, Modèles de Calculs Continus, Théorie algorithmique des jeux
machine learning, modeling, dynamical systems, systems biology, data analysis
In charge of the communication of the ISC-PIF & RNSC.Webmaster.PhD Thesis in astrophysics.
- Declarative languages (usage in real world, compilation,...)- Complex applications- methodologies- Architecture for scalability- Grid and cloud computing
Nonlinear Dynamics and Chaos, Complex Networks, Hybrid Dynamical Systems, Control of complex systems
Studying: developemental neuropsychology. Personnal interests: Complexity, cognition, evolution, education
My profile has a strong interdisciplinary characterization. Starting from the tools of statistical mechanics and of complex systems my research interests cover a wide spectrum of applications: opinion dynamics, social network analysis, epidemiology, demography, policy making, game theory. The "leitmotive" of my recent research activities are complex networks and the dynamical processes of and on these structures.
Cognition, Economic systems, Social systems, Design, Architecture
evolutionary and computational model of political system,network analysis
I worked more than 10 years as consultant for Technology Transfer and deployment of funds and instruments supporting the R&D and innovation in Companies.My expertise span over the development of models for complex systems, to ICT for government solutions and Energy Efficiency. I provide also technical support for technology intelligence and activities to develop new technologies and innovative solutions as well as supports the development of studies focused on the implementation of good practices.Networking and Innovation are the two keywords that better could express my goals in the short and medium term goals
N
i try to understand how interactions are useful for holitistic behavior and how to extract them from text databases , mixed with other knowledge bases
I am involved in System of systems engineering in transport and logistics with a specific focus on ultra large systems integration and in complex public private and private collaborative networks in logistics and transport
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
modeling of biological functions (metabolism, growth)
Organizational and societal evolution
I am currently particularly interested in the relationship between innovation and suystainability, viewed from a CAS perspective
Complex syetems, chaos, evolving network dynamics, many body physics, fluid dynamics
Complexity Economics, Agent-Based Computational Economics and Modeling, Complex Systems, Networks
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalcognitive systemsmedicalhumansocio-economic systemsinformation and communicationenvironmentalabstract systems,
Methods: Multi-agent system theorySynergeticsRenormalization theory Formal software designConcurrent programmingDistributed and parallel computing
Objects: Mathematical-physics and computational modelling and simulation of multi-scale self-organized critical networks across application domains
Objects: humaninformation and communicationenvironmental, design
Objects: Developing the SACS Toolkit, a new, computationally grounded case-based method for modeling complex systems and applying it to the study of health and health care systems, Specific topics include community health, medical professionalism, medical learning environments, globalization, allostatic load, future and emerging technologies,
Objects: biological, The CBGP (a joint research unit INRA/IRD/CIRAD/AGRO, M) carries out research in the fields of systematics, genetics and ecology relevant to the management of populations and communities of organisms for the purposes of agriculture, public health and biodiversity,
Methods: mathematicalcomputational,
Objects: cognitive systemshumansocio-economic systemsinformation and communicationenvironmental,
Methods: computational,
Objects: socio-economic systemsinformation and communicationabstract systems,
Objects: complexity education
Methods: mathematicalphysicalcomputational,
Objects: biological, Epigenomics Project aims at:developing an original research mode that implements the bench-model loop, where each actor, in particular each junior researcher, stays anchored in his/her major discipline while jointly working across disciplines and progressing in other fields;offering a coherent set of scientific events to the relevant community, in order to facilitate cross-disciplinary action; this set ranges from Introductions and Schools, to Training courses and Workshops, all the way to advanced research in Workgroups, Since 2005, the visitor's programme and the scientific events each represented over 35 days per year;fostering the emergence of new formal or informal research teams in complex studies applied to biology, There are currently one in-house starting-up team, and six year-round workgroups with a nation-wide outreach totalling 250 members, Approximately 50 scientists are concerned in Évry alone,
Objects: human,
Methods: complex, generative causal framework
Objects: human,
Methods: mathematicalphysicalcomputational,
Objects: biologicalcognitive systemsmedicalhuman,
Methods: Innovation processes and capability maturity models, Complex ecosystems for business innovation,
Objects: Design and integration of virtual reality systems, Optimisation of design and innovation processes,
Methods: Theory of systems, C-K Theory, networks theory
Objects: Virtual reality, innovation methodologies, systemic marketing
Objects: Systèmes Complexes, Traitement Intelligent de la Connaissance,
Methods: (Nonlinear) Functional Analysis, (Partial) Differential Equations of any type depending on models
Objects: Dynamics and Control of Complex Systems with Methods and Applications in major Technical, Industrial and Scientific Domains
Methods: computational,
Objects: information and communicationabstract systems,
Methods: computational,
Objects: cognitive systemsmedicalsocio-economic systemsinformation and communicationabstract systems, LITIS researches are organized in 3 axes and 7 research teams :1, Axis ''''Combinatorics and algorithms'''' dealing with formal aspects of information 2, Axis ''''Mass Data Processing'''' composed of the following teams- Document and learning- Information processing for biology and health- Medical Imaging- Intelligent Transportation Systems3, Axis ''''Interaction and Complex Systems'''' composed of the following teams:- Modelling, interactions and use- Interaction networks and swarm intelligence
Objects: robotic, smart objects, ambient intelligence
Methods: mathematicalcomputational,
Objects: humansocio-economic systems,
Methods: mathematicalcomputational,
Objects: information and communication,
Objects: dynamic systems command and control, automatism, transportation, human-computer interaction, human factors, ergonomics,
Methods: Research done on informal science learning subjects to determine response to engagement in learning activities around complex topics like network science, and sustainability science,
Objects: cognitive systemssocio-economic systemsenvironmental, to research how people come to understand complexity through narrative and data visualization
Objects: Nonlinear Dynamics, Chaos Theory and Physics of Complex Systems
Methods: mathematicalphysicalcomputational,
Objects: biologicalhumansocio-economic systemsinformation and communication, complex networks
Objects: service systems, service networks, value networks
Objects: biologicalenvironmental, Modelling for agronomy
Objects: biologicalmedicalhuman,
Methods: mathematicalphysicalcomputational,
Objects: chemicalenvironmentalabstract systems Self-orhanization and chaos in physics
Methods: mathematicalcomputational
Objects: biologicalcognitive systemshumansocio-economic systemsinformation and communicationenvironmental All aspects of animal and human social systems and behavior
Methods: computational,
Objects: humansocio-economic systemsenvironmental,
Methods: mathematicalphysicalcomputational,
Objects: biologicalcognitive systemshumansocio-economic systemsinformation and communication, - Develop a Meta-Framework for developing Formal Models and Simulation Models of Complex Systems, - Use these models to apply to actual real-world problems especially to problems faced in the developing world,
Methods: mathematicalphysicalcomputational, Hierarchical representation based on non-standard approximation of vriables
Objects: humansocio-economic systems, Social systems, large scale systems
Methods: mathematical social sciences
Objects: biologicalhumansocio-economic systemsenvironmental, Water management and governance
Objects: biologicalmedical,
Methods: computational,
Objects: biologicalcognitive systemshumansocio-economic systemsinformation and communicationenvironmental, The Center for Network Science at Central European University provides an organizational platform for research into network science, with a special focus on applications to social problems,
Methods: mathematicalphysicalcomputational,
Objects: cognitive systemshumansocio-economic systems,
Methods: mathematicalphysicalcomputational,
Objects: cognitive systemshumansocio-economic systemsinformation and communicationabstract systems,
Methods: self-organisation
Objects: collective behaviour, self-organisation, multiscale-modelling
Objects: biological,
Methods: computational,
Objects: humansocio-economic systems, agent based models and simulations in social sciences : epistemology of models in social sciences
Methods: AGent based modelling and viability approach
Objects: Technology, economic and industrial dynamics,
Methods: mathematicalphysical,
Objects: biologicalmedical,
Objects: cognitive systemshuman,
Methods: computational,
Objects: biologicalcognitive systemssocio-economic systemsinformation and communication,
Objects: linguistics, linguistic typology, linguistic anthropology, language acquisition, description, modelling, linguistic complexity, information theory, psycholinguistics, EEG, endangered languages
Methods: mathematicalcomputational,
Objects: biologicalinformation and communication,
Methods: Social sciences
Objects: humansocio-economic systems,
Objects: autonomic computing, organic computing, complex adaptive computer systems, self-growing software
Methods: physicalcomputational,
Objects: biological
Methods: mathematicalphysicalcomputational,
Objects: Nanophysique, Matière condensée, Systèmes complexes, Systèmes intégrables, Modélisation stochastique des grands systèmes, Physique théorique pour les biosciences: molécules-macromolécules, matériaux, imagerie médicale
Methods: computational,
Objects: cognitive systemsinformation and communication, Computer Science
Methods: mathematical,
Objects: information and communication,
Methods: mathematicalphysicalcomputational,
Objects: biological,
Methods: mathematicalcomputational, Biological
Objects: biologicalinformation and communicationenvironmental, Ecosystems modeling
Methods: computational
Objects: socio-economic systems, To investigate stock markets as complex adaptive systemsExplicative models of stylized factsCritical events, Bubbles and crashes
Methods: mathematicalphysicalcomputational, mathematical, physical and computationnal representations of signal (sound) and music (at a symbolic level),
Objects: cognitive systemsinformation and communication Music and sounds
Methods: computational,
Objects: biologicalmedicalinformation and communication,
Objects: Soft Matter Physics, Liquids, Biological objects
Objects: Collective Effects in SoftMatter
Methods: computational,
Objects: abstract systems, Computer science
Methods: statistical physics
Objects: soft matter and (bio)-polymers, reactive processes, transport processes
Objects: self-organization in software and hardware bio-inspired cognitive systems
Methods: The combination of various approaches in both research and teaching represents a scientific and technical innovation for modern agronomy, botany and forestry, The activities of the unit in the field of mathematics and informtics applied cover the three axes:the modeling and the simulation of the growth and the architecture of the plants;analysis and statistical processing of information;software engineering,
Objects: biologicalcognitive systemsenvironmental AMAP Unit researches holds a central place in the analysis and modelling of the structure, development and diversity of plants and plant communities, The institute is organised into three main research groups having a wide variety of disciplines, including botany, ecology, evolution, applied mathematics and informatics:1, '''' Evolution of plant form and function, systematics, floristics '''' : morphological evolution; biomechanics, evolution and ecology; systematics, taxonomy and floristics, 2, '''' Plant architecture and development '''' : diversity and plasticity of plant architecture; integrated analysis and modelling of plant architecture and function; volumic imaging, 3, '''' Organisation and dynamics of populations and landscapes '''' : diversity and dynamics of heterogeneous forest communities; structure and dynamics of the plant communities; landscape spatial dynamics and ecological engineering, We have developed a “combined approach” for studying plants, be they annual or perennial, living or fossil, wild or cultivated and either temperate, Mediterranean or tropical, Our research embraces many empirical approaches applied to plants including, morphology and anatomy, data analysis and processing, computational simulation and knowledge management,
Methods: computational
Objects: biologicalsocio-economic systemsenvironmental,
Objects: socio-economic systems,
Methods: mathematicalphysicalcomputational
Objects: chemicalbiologicalcognitive systemsmedicalhumansocio-economic systemsinformation and communicationenvironmentalabstract systems
Methods: physical, Dynamical systems, Instabilities, Non linear physics, Statistical physics
Objects: environmentalabstract systems Complex fluids, turbulence, chaotic dynamics, non linear systems, granular media
Methods: physical,
Objects: chemical, material
Methods: mathematicalphysicalcomputational,
Objects: environmental,
Methods: mathematicalcomputational,
Objects: biologicalmedicalhumansocio-economic systemsinformation and communicationenvironmental,
Objects: Developmental and cellular biologySystems biology and biophysics
Objects: chemicalbiologicalmedical,
Methods: mathematicalphysical, multifractalsrenormalization techniques
Objects: environmentalabstract systems,
Methods: computational,
Objects: socio-economic systems, Social NetworksSocial Simulation
Objects: biologicalhumansocio-economic systems,
Methods: physicalcomputational,
Objects: humansocio-economic systems,
Methods: computational,
Objects: humansocio-economic systemsabstract systems,
Methods: physicalcomputational,
Objects: information and communication,
Methods: science of communication, e-learning, social networks
Objects: information and communication, Complexity education: how to use complexity (non linear instruments) to learn about complexity; simulations, business games, serious games,
Methods: mathematicalphysicalcomputational,
Objects: biologicalmedicalhumanabstract systems,
Methods: mathematicalphysicalcomputational
Objects: chemicalbiological,
Methods: mathematicalcomputational,
Objects: unconventional computing and complex systems
Objects: unconventional computing and complex systems
Methods: computational,
Objects: socio-economic systems,
Methods: mathematicalcomputational,
Objects: socio-economic systemsenvironmental,
Methods: mathematicalcomputational,
Objects: Computer Science
Methods: mathematicalphysicalcomputational,
Objects: socio-economic systemsinformation and communicationabstract systems,
Objects: biologicalcognitive systems, Neuropeptides
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalcognitive systemsabstract systems,
Methods: mathematicalcomputational, Based on the non-standard analysis and multilevel hierarchical systems representation,
Objects: socio-economic systemsinformation and communication, Social systems from point of view of physics and mathematics (sociophysics and sociodynamics), Complex media, like earth, by the help of the geometrical representation of the rays trajectory, Solid body fracture as the multilevel hierarchical process
Objects: cognitive systemshumansocio-economic systemsinformation and communication,
Methods: computational,
Objects: biologicalsocio-economic systemsinformation and communication, Epidemiology
Methods: mathematicalphysicalcomputational, complex physics, statistical physics, information theory, dynamical cognitive systems
Objects: cognitive systemshumansocio-economic systemsinformation and communicationenvironmental, complexity of the cities
Methods: computational,
Objects: socio-economic systemsenvironmental, Climate change and sustainability
Methods: mathematical, dynamical systems, celestial mechanics
Objects: biologicalsocio-economic systems, dynamical systems, celestial mechanics
Methods: mathematicalcomputational,
Objects: biologicalsocio-economic systemsinformation and communication, dynamical systems, numerical analysis, optimization, statistic
Methods: mathematicalcomputational,
Objects: cognitive systemssocio-economic systemsabstract systems, Modelling and simulations allow us to understand biological systems, humans, and their brains, We are involved in agent based and knowledge based systems, approximate reasoning, artificial neural networks, DNA computing, membrane computing and evolutionary computing, Some of our agents are decision-making agents in a micro-economic context; others are synthetic characters interacting with a virtual world, We develop swarms of 'detectives', seeking new and innovative designs, and solutions to difficult problems,
Methods: mathematicalphysicalcomputational, Bioc members develop network modeling tools, artificial life simulations and GGH-model simulations of development,
Objects: biologicalcognitive systemsmedical, Bioc conducts research in complex biological systems, including pattern formation during development, complex networks, neuroscience and complex molecular systems,
Methods: mathematicalcomputational,
Objects: biologicalcognitive systemshumaninformation and communicationabstract systems,
Methods: mathematicalcomputational,
Objects: geographical database, topographical database, mapping, generalization, network analysis, spatial analysis, MAS, territorial dynamics, urban simulation, database integration, ontologies
Objects: Nonlinear methods in the analysis of complex signals and systems
Methods: mathematicalcomputational, See http://www-roc, inria, fr/bang/
Objects: biologicalmedicalenvironmentalabstract systems, See http://www-roc, inria, fr/bang/
Methods: computational,
Objects: cognitive systemsinformation and communication,
Methods: mathematicalcomputational,
Objects: information and communication, SYnergy between Machine Learning and Optimization
Methods: mathematicalcomputational, Reinforcement learning, bandit algorithms, statistical learning
Objects: abstract systems, Prediction, control, games, learning in complex systems
Methods: dynamic systems, statistics, stochastic processes, deterministic modelling, risk assessment, bayesian networks, space-time modelling
Objects: cell, plant, bacteria, plant disease, animal disease, epidemiology, agricultural landscape, genetics, food, agro-ecology
Objects: socio-economic systemsenvironmental,
Objects: biologicalenvironmental, The Laboratory of Environmental Biotechnology (LBE) specializes in research and developmentof biological processes for the treatment of pollution,
Methods: computational,
Objects: biological,
Objects: Olfaction, neuroscience
Objects: biologicalenvironmental,
Methods: Socio-Ecological system
Objects: biologicalenvironmental, Landscape Ecology
Methods: mathematicalcomputational,
Objects: biologicalenvironmental Statistics and System Theory applied to Biology, Agronomy and Environment
Methods: Physiology, Genomics, Systems Biology
Objects: biological,
Methods: mathematical,
Objects: biologicalenvironmental, Grammineous and Legume Plants
Methods: computational,
Objects: biologicalenvironmental, L'Unité Mixte de Recherche (UMR) ''''botA nique et bioinforM atique de l' Architecture des Plantes'''' (AMAP) associe plus de 70 agents permanents de plusieurs organismes (Cirad-Cnrs-Inra-Ird-Université Montpellier II) dont certains sont affectés outremer (Guyane, Nouvelle Calédonie) ou à l'étranger (Inde, Vietnam), Elle est organisée en 3 équipes et ses recherches mettent en jeu des disciplines variées - botanique, écologie, mathématiques appliquées, informatique -, dont l'association et la complémentarité constituent un enjeu scientifique et technique majeur pour l'agronomie, la botanique et la foresterie modernes, Les recherches accordent une place centrale à la description, l'analyse et la modélisation de la structure, de la dynamique de développement et de la diversité des plantes et des peuplements végétaux, Elles privilégient les approches génériques, communes à l'ensemble des plantes, annuelles ou pérennes, actuelles ou fossiles, sauvages ou cultivées, tempérées, méditerranéennes ou tropicales, Elles concernent la mesure, la représentation, l'analyse et le traitement des données, la simulation informatique, l'organisation et la gestion des connaissances,
Objects: Modeling & simulation of cardiovascular and renal physiology and pathology(systems pathophysiology)(i) kidney, blood pressure regulation and hypertension(ii) ischemia-reperfusion injury (kidney, transplantation)
Methods: mathematicalphysicalcomputational,
Objects: medicalhumaninformation and communication
Methods: mathematicalcomputational,
Objects: biologicalmedicalinformation and communicationenvironmentalabstract systems, Modelisation mathématique et informatique de systèmes complexes
Methods: mathematicalcomputational,
Objects: biologicalmedicalhumansocio-economic systemsinformation and communicationenvironmental,
Methods: mathematicalphysicalcomputational
Objects: Methods of studies include analytical approaches (field-theoretical renormalization group, functional integration, resummation of divergent series, phenomenological thermodynamic approach), computer simulations, empirical data analysis, The following problems in the theory of magnets, polymers and complex networks are analyzed: * Static and dynamic critical behavior of disordered magnets; * conformational properties of polymer macromolecules; * scaling in complex systems; * scientometrics,
Methods: mathematicalcomputational,
Objects: cognitive systemsinformation and communicationabstract systems,
Methods: mathematicalphysical,
Objects: Many-body interaction systems of any origin, from elementary particles to socio-economic and information systems
Methods: mathematicalcomputational,
Objects: biologicalcognitive systemsinformation and communicationabstract systems,
Methods: mathematicalphysical,
Objects: chemicalbiologicalhumansocio-economic systems,
Methods: mathematicalphysicalcomputational
Objects: biologicalhumansocio-economic systemsenvironmentalabstract systems
Methods: mathematicalcomputational,
Objects: socio-economic systems, Network Economics, Economics of Complexity, Innovation System
Methods: social science, resilience science
Objects: biologicalhumansocio-economic systemsenvironmentalabstract systems, social-ecological systems, resilience theory
Methods: mathematicalphysical Nanotechnology
Objects: environmental Intelligent systemsSensorsNanosensorsBionanosensors
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalcognitive systemsmedicalhumansocio-economic systemsinformation and communicationenvironmentalabstract systems,
Methods: mathematicalcomputational,
Objects: biologicalcognitive systemshumaninformation and communication, Animal and human behaviour, emotion and cognition, in an evolutionary context
Methods: mathematicalphysicalcomputational,
Objects: biologicalmedicalhumansocio-economic systemsinformation and communicationabstract systems human mobility
Methods: mathematicalcomputational, cybernetics
Objects: chemicalbiologicalmedicalhumanabstract systems,
Methods: physicalcomputational,
Objects: chemicalbiologicalcognitive systemsmedicalhumansocio-economic systemsinformation and communication, crisis responses, aging, topology and dynamics of complex networks
Methods: The challenge (very french) is to impose the idea that design has a specific approach to address complexity, in a very applied mode, Through design methodologies, the aim is to understand how complexity can be included in the field of expertise as well as of issues for the designer,
Objects: humaninformation and communication Right now, we focus our research on Intelligent systems design, and Ubimedia applications,
Methods: computational,
Objects: biological, Heart rate dynamics in health and disease
Methods: mathematicalcomputational,
Objects: information and communication, The Internet as a complex system, network motifs
Methods: mathematicalphysicalcomputational,
Objects: chemicalsocio-economic systemsinformation and communicationenvironmentalabstract systems
Methods: mathematicalphysicalcomputational,
Objects: medicalinformation and communication Plasma physics, fluid physics, materials science, tomography, telecommunications
Methods: mathematicalphysicalcomputational philosophy of science, history of science, science and technology studies (sts), ethnography, scientometrics
Objects: cognitive systemssocio-economic systemsinformation and communicationabstract systems,
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalcognitive systemsmedicalhumansocio-economic systemsinformation and communicationenvironmentalabstract systems,
Methods: mathematicalphysicalcomputational,
Objects: biologicalsocio-economic systemsinformation and communication, Complex systems in biology, social sciences and materials science
Methods: mathematicalphysicalcomputational,
Objects: Synchronization and control of complex systems, Nonlinear modeling of complex systems,
Methods: mathematicalphysicalcomputational,
Objects: biologicalcognitive systemsmedicalhumansocio-economic systemsinformation and communicationenvironmentalabstract systems,
Methods: Genetic Epistemology
Objects: cognitive systemshumansocio-economic systemsenvironmental Emergent Local Knowledge Communities
Methods: computational SYMBOLIC ECOLOGIES (INFORMATION, COMMUNICATION AND KNOWLEDGE) AS COMPLEX SYSTEMS, FROM A GENETIC EPISTEMOLOGY PERSPECTIVE (PIAGET AND GARCÍA)
Objects: cognitive systemshumaninformation and communication
Methods: Statistical physics (equilibrium, non-equilibrium, extensive, non-extensive)Complex networksSocial Network AnalysisQuantum Field Theory
Objects: We apply statistical physics for modelling complex systems, Econophysics: Weath, income and money distributionEconophysics: Financial marketsComplex networks: Music, literature, studies on innovation, participatory processes for conservation, food webs in the tropic,
Methods: Modeling using analogies with statistical physics, Econophysics, Sociophysics, Complex Networks, Social Network Analysis,
Objects: Wealth, income and money distributions; stock markets; innovation; social aspects of science and technology development; cognition; music; literature; ecosystems; conservation in protected areas,
Methods: Modeling using analogies with statistical physics, Econophysics, Sociophysics, Complex Networks, Social Network Analysis,
Objects: Wealth, income and money distributions; stock markets; innovation; social aspects of science and technology development; cognition; music; literature; ecosystems; conservation in protected areas,
Methods: Statistical Physics, Econophysics, Sociophysics, Complex Networks, Social Network Analysis,
Objects: Product design and development, Prototypes
Methods: computational,
Objects: socio-technical systems
Objects: humansocio-economic systems,
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalhumansocio-economic systems,
Methods: Biological, Medical, Biomedical
Objects: Biomedical Engineering
Methods: computational,
Objects: biological,
Methods: computational Philosophy
Objects: chemicalbiologicalcognitive systemshumanabstract systems, Autonomy, Agency, Emergence, Naturalization, Interaction
Methods: mathematicalcomputational,
Objects: socio-economic systemsenvironmental, social and ecological systems sustainability
Methods: physical, theoretical statistical physicsmathematical physics
Objects: abstract systems, statistical physicsphase transitions and critical phenomenareaction-diffusion systemsphysical ageing
Methods: computational Social science (geography)
Objects: socio-economic systems,
Objects: Agent-based Simulations, Swarm Intelligence
Methods: computational,
Objects: information and communication, Collection and analysis of Internet data
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalcognitive systemshumansocio-economic systems,
Methods: mathematicalcomputational,
Objects: biologicalcognitive systemsmedicalhumaninformation and communication,
Methods: mathematicalcomputational,
Objects: biologicalmedicalhumanenvironmental,
Objects: chemicalbiological,
Methods: Focus is human-environment interaction in geographical context, using complex systems analysis, spatial modelling and GIS
Objects: humansocio-economic systemsenvironmental
Methods: mathematicalphysicalcomputational,
Objects: biologicalhumansocio-economic systemsenvironmental,
Methods: mathematicalcomputational
Objects: humansocio-economic systemsinformation and communicationabstract systems, marketing, management science, information systems, finance, management and organization
Methods: computational biodiversity + computational
Objects: biologicalenvironmental, taxonomy, maintenance of the Catalogue of Life - database of all species names of all organisms known for science, Creating global e-infrastructure for scientific data exchange and cooperation in taxonomy,
Methods: mathematicalcomputational,
Objects: cognitive systemsmedicalhumansocio-economic systemsinformation and communicationenvironmental,
Objects: socio-economic systems, Management models, entrepreneurship, chaos and complexity theory
Methods: Coordination Dynamics, Articulatory Phonology
Objects: medicalhumaninformation and communication Oral motor control
Objects: cognitive systemshumaninformation and communication,
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalmedicalhumaninformation and communicationenvironmentalabstract systems, Mathematical methods
Methods: computational,
Objects: biologicalinformation and communication,
Methods: mathematicalphysicalcomputational,
Objects: biological
Methods: mathematicalphysicalcomputational,
Objects: cognitive systemssocio-economic systemsinformation and communication,
Methods: mathematicalcomputational,
Objects: biologicalmedicalhumansocio-economic systemsinformation and communication,
Methods: economics
Objects: Transports, territoires et société
Objects: cognitive systemshumaninformation and communication, Social and psychological religious ritualsCognitive subjectivity modelling
Objects: cognitive systemshumansocio-economic systemsabstract systems,
Methods: Biology - evolution theory, genetics, behavioural ecology, plant development and architecture
Objects: ecology - ecosystem
Methods: Immunology
Objects: biologicalcognitive systemsmedicalhuman, immune system; T-cell dynamics
Methods: mathematicalcomputational
Objects: socio-economic systems, L'analyse des politiques publiques et des systèmes sociaux est au cœur de ces deux centres d'intérêt du LEREPS, Deux AXES DE RECHERCHE :Axe 1 : Espaces et territoiresLocalisation des firmes et dynamiques industriellesGouvernance et complexité territoriales, espaces de la coordinationAxe 2 : Dynamique des organisationsChangement organisationnel, production et diffusion des connaissancesGouvernance des entreprises, financiarisation et nouvelles régulations
Methods: computational,
Objects: environmental, ecological complexity; agent-based modelling; social-ecological systems
Methods: mathematicalphysicalcomputational,
Objects: environmental,
Objects: Role of communication, environmental and host factor on bacterial adaptation and virulence
Methods: computational cybernetics, universal selection theory, general systems theory, complex adaptive systems
Objects: cognitive systemshumansocio-economic systemsinformation and communicationabstract systems, to study how complex, intelligent organization emerges from the interactions between initially intelligent agents
Methods: mathematicalphysicalcomputational,
Objects: chemicalbiologicalmedicalsocio-economic systemsinformation and communicationenvironmentalabstract systems,
Methods: computational Philosophy of Science
Objects: cognitive systemshumansocio-economic systemsinformation and communicationabstract systems, all aspects of agent-based social simulation, including: tools, validation, methodology, applications and philosophy