International Conference on Complex Systems (ICCS2007)
Boston, MA
May 16-21, 2004
Founding Organizing Committee:
Philip W. Anderson - Princeton University
Kenneth J. Arrow - Stanford University
Michel Baranger - MIT
Per Bak - Niels Bohr Institute
Charles H. Bennett - IBM
William A. Brock - University of Wisconsin
Charles R. Cantor - Boston University
Noam A. Chomsky - MIT
Leon Cooper - Brown University
Daniel Dennett - Tufts University
Irving Epstein - Brandeis University
Michael S. Gazzaniga - Dartmouth College
William Gelbart - Harvard University
Murray Gell-Mann - CalTech / Santa Fe Institute
Pierre-Gilles de Gennes - ESPCI
Stephen Grossberg - Boston University
Michael Hammer - Hammer & Co
John Holland - University of Michigan
John J. Hopfield - Princeton University
Jerome Kagan - Harvard University
Stuart A. Kauffman - Santa Fe Institute
Chris Langton - Santa Fe Institute
Roger Lewin - Harvard University
Richard C. Lewontin - Harvard University
Albert J. Libchaber - Rockefeller University
Seth Lloyd - MIT
Andrew W. Lo - MIT
Daniel W. McShea - Duke University
Marvin Minsky - MIT
Harold J. Morowitz - George Mason University
Alan Perelson - Los Alamos National Lab
Claudio Rebbi - Boston Unversity
Herbert A. Simon - Carnegie Mellon University
Temple F. Smith - Boston University
H. Eugene Stanley - Boston University
John Sterman - MIT
James H. Stock - Harvard University
Gerald J. Sussman - MIT
Edward O. Wilson - Harvard University
Shuguang Zhang - MIT
Executive Committee:
Yaneer Bar-Yam
Dan Braha
Joel MacAuslan
Ali Minai
Hiroki Sayama
Conference Aims:
To investigate those properties or characteristics common to complex systems, and
To encourage cross fertilization among the many disciplines involved
Conference Themes:
Complex systems research in all areas
Networks & Structural Themes: In recent years, understanding the structure and function of complex networks has become the foundation for explaining many different real-world complex biological, technological and informal social phenomena. Techniques from statistical physics have been successfully applied to the analysis of these networks, and have uncovered surprising topological properties that have also been shown to have a major effect on their functionality, dynamics, robustness, and fragility. This conference will bring together the latest research and practice on the emerging science of complex networks. Topics include but are not limited to studies on:
Topological properties of networks
Growth of networks
Community structure
Dynamical processes on networks
Search and distributed computation on networks
Competition of evolving networks
Stability of networks
Optimization approaches on networks
Networks in biology - gene regulation, metabolic, ..., ecology and evolution
Networks in society - formal and informal social networks, technological networks
Networks in engineering
Spatial networks
Games on networks
Visualization of networks
Systems biology: High throughput data and theoretical modeling are combining to create new opportunities for systems understanding in biology. In addition to the comprehensiveness of genome-scale analysis of molecular pathways and networks, we are particularly interested in building toward an understanding of living systems at all scales and levels of organization. This will include aspects such as: emergence of higher-order (system-level) features, pattern formation, multiscale representation, etc. You are invited to submit abstracts/papers in experimental and theoretical areas of systems biology. Topics include but are not limited to studies on:
System levels
DNA/Protein sequence analysis: genome-scale comparative analysis, motifs, evolution
Regulatory pathways/circuits: stochastic simulation; deterministic, non-linear dynamics, in situ pathway visualization
Molecular networks: topology (global structure, local motifs) and dynamics
Cell and organismal physiology: Cell migration, Multi-cell behavior, Systems control, Homeostasis and disease, Scaling laws
Development: Spatiotemporal patterns, developmental constraints, robustness
Behavior: brain and behavior, group dynamics
Population and evolutionary dynamics
Concepts
Robustness and Control
Noise, Oscillations, Chaos
Fractals, power laws, Time series
Multiscale modeling
Tools
Genomics and Proteomics techniques
Databases, data mining, analysis and visualization tools
In situ imaging techniques (microscopic and macroscopic)
Socio-economic systems: There have been increasing interdisciplinary efforts to model and understand fundamental aspects of complex social and economic systems using tools from a variety of disciplines, including physics, computer science and network theory. Examples of topics pertinent to this section are
Traffic (automotive, pedestrian, information)
Stock and commodity markets
Economic development and macroeconomics
Urban planning
Models of epidemics
Counter-terrorism and security
Voting and opinion dynamics
Memetics
Negotiation and coordination
We also welcome the presentation of new methods and tools applicable to these problems, including
Agent-based models
Cellular automata
AI approaches
Game theory
Network analysis
Time-series analysis and prediction
Analytic methods
Characteristics of Complex Engineered Systems
Modularity and industrial evolution; Non-linear and chaotic dynamics of engineered systems; Robustness, vulnerability and failure in CES; Self-similarity, critical phenomena, and power laws in CESNetworks in Complex Engineered Systems
Network dynamics in CES; Scale-free and small-world networks; Effect of connectivity on CES performance; Robustness and vulnerability in networked complex systemsCES Paradigms Based on Natural Systems
Biomorphic networks (Neural nets, artificial immune systems, etc.); Evolutionary approaches; Collective intelligence; Amorphous computing; Swarm robotics; Self-configuring robots, Animats/biomorphic robots; Self-organized sensor networksCES Paradigms Based on Human Systems
Game-theoretic paradigms; Economic paradigms; Social paradigms.Product Design and Development
Complexity-related methodologies in product development; Cooperative workgroups for collaborative product designManaging Complex Engineered Systems
Emergent/self-organized control methods for CES; Human-Computer Interactions; Managing the risk of CES accidents; Managing the risk of vulnerability to targeted attackEthical, Social, Economic and Political Dimensions of CES
Accountability and responsibility in self-organized, decentralized systems; Dissociation of ownership and control in CES; Security in networked complex systems; Effect of CES paradigms on classical socioeconomic and political models; Resource utilization and costs in CES; Potential hazards of autonomous, adaptive complex systems to human societySpecific Complex Engineering Systems
Ecology of the World Wide Web, Collaborating Distributed Micro-satellites, Smart Materials and Structures, Smart Retailing and Warehousing Environments, Intelligent Traffic Networks, Tissue Engineering
Evolution and Ecology / Population change
Nonlinear dynamics and Pattern formation
Physical systems, Quantum and Classical
Learning / Neural, Psychological and Psycho-Social Systems
Concepts, Formalisms, Methods and Tools
Analysis and Expression in the Arts and Humanities
Special Conference Sessions:
Networks: This year's conference has a special focus day (Friday) and additional presentations throughout the week on networks. Social, biological, technological networks are all of interest. The structure and dynamics of network formation, as well as the dynamics of network response are all included.
Systems Biology: The development of systems thinking in biology building on advances in high-throughput data acquisition for understanding system interactions and behavior.
Modeling Social Systems: Advances in our understanding of how to build and validate models of social networks and their interactions, and the behavior of social systems with relevance to socio-economic, and psycho-social issues including interactions with the environment, technology, global concerns and other areas of interest.
Complex Systems Engineering: Advances in the process of systems engineering for highly complex real-time systems, engineering motivated by biological forms and processes, distributed control and design processes, self-organization and self-monitoring systems, and system robustness characterization and design.
Evolution and Ecology: Advances in our understanding of the interactions between evolution and the structure and dynamics of ecosystems, internal and external interactions, biodiversity, and the robustness of ecosystems. The role of human actions and interventions, both on global and local properties of ecological importance. The development of ecological and / or evolutionary modeling.
Patterns and Pattern Formation: The mathematical description of spatial, temporal and spatio-temporal pattern formation and its implications for experiments on patterns in physical, chemical, biological and social systems. Experimental characterization of patterns in all contexts.
Systems Engineering of Complex Systems Conference
NECSI and INCOSE are co-sponsoring a conference on the Systems Engineering of Complex Systems in association with the International Conference on Complex Systems 2007 to be held in Boston Oct 28 - Nov 2, 2007.
Recognizing the potential impact of complexity and complexity science on the continued evolution and maturation of Systems Engineering, and the need for venues for the presentation and distribution of active research and practice in this area, INCOSE is soliciting papers on the Systems Engineering of those systems often described with the terms system of systems, ultra-large systems, mega-systems, and enterprises. We are particularly looking for thoughts, scholarship, and experiences in the areas where multiple, independent stakeholder communities collide; or where the "system" under study is not under the control of a single entity; or where the character of the social, cultural, or business aspects impact the technical.
Topic area examples include:
Implications of complexity considerations on standard process areas, e.g. Configuration Management / Insight, Standards and standardization, Testing, Change Management, Risk & risk management, Architectures and architecting, Design.
Convergence Points & Protocols
Variety and Selection
Mechanisms of evolution in engineering systems
Nature and mechanisms of emergence
Implications of emergence
Emergence insight and management
Systems assembly and composition
Systems ecology
Closure of side-effects over collections of systems
Collective non-designed behavior
Indirect Engineering
Patterns of systems / Patterns among systems
Effects of change and environmental pressure
Value assessment and selective pressure
The description and nature of enterprises
Regimens for complex systems engineering (cSE)
Field reports on the use of Regimens in cSE
Balancing Stakeholder interests within a complex engineered system