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9th International Conference on Complex Systems - ICCS 2018

The International Conference on Complex Systems is a unique interdisciplinary forum that unifies and bridges the traditional domains of science and a multitude of real world systems. Participants will contribute and be exposed to mind expanding concepts and methods from across the diverse field of complex systems science. The conference will be held July 22-27, 2018, in Cambridge, MA, USA.

Special Topic - Artificial Intelligence: This year’s conference will include a day on AI, including its development and potential future. This session will be chaired by Iyad Rahwan of MIT's Media Lab.

Confirmed Speakers: Stephen Wolfram (Wolfram Research), Nassim Nicholas Taleb (Real World Risk Institute, USA), H. Eugene Stanley (Boston University, USA), Sandy Pentland (MIT Media Lab, USA), Stuart Kauffman (Institute for Systems Biology, USA), Albert-László Barabási (Northeastern University, USA), Peter Turchin (University of Connecticut, USA), Olaf Sporns (Indiana University Network Science Institute, USA), Irving Epstein (Brandeis University, USA), Simon DeDeo (Carnegie Mellon University, USA), César Hidalgo (MIT Media Lab, USA), Cameron Kerry (MIT Media Lab, USA), and Iyad Rahwan (MIT Media Lab, USA), among others.

Important dates

  • Workshop proposal: February 16, 2018
  • Abstract submission: February 16, 2018
  • Notification to authors: March 30, 2018
  • Early registration: April 13, 2018
  • Camera-ready abstract & full paper submission: May 4, 2018
  • (full paper submission is optional)
  • Late abstract submission: June 1, 2018
  • Conference: July 22-27, 2018


Emergence: The relationship between components and collective properties and behaviors; the relationship of internal structure to external influence; multiscale structure and dynamics; self-similarity and fractals.

Complexity & Information: Defining and measuring complexity; characterizing the information necessary to describe complex systems; structuring, storing, accessing, distributing, visualizing and analyzing information describing complex systems; the dynamics of information and its computational characterization.

Dynamics & Self-Organization: Time series analysis and prediction; nonlinear dynamics and chaos; temporal correlations; the time scale of dynamic processes; spatio-temporal patterns; dynamic scaling; pattern formation; evolution, development and adaptation; interaction between internal dynamics and external inputs; programmability of self-organization.

Structures & Networks: Complex network topologies; multilayer and multiplex networks; dynamical networks; adaptive networks; temporal networks; network modeling and analysis; small-world and scale-free networks; connectivity and centrality; motifs, cliques and communities, modularity, degeneracy, redundancy, and substructure; network visualization.

Methodology: Computer simulation; agent-based modeling; data-driven research; machine learning; artificial intelligence; analytical methods; nonlinear statistics; soft computing; methods and tools for complex systems education.

Mathematical, Physical & Chemical Systems: Non-equilibrium processes; hydrodynamics; glasses; nonlinear chemical dynamics; complex fluids; molecular self-organization; information and computation in quantum and classical physical systems; supramolecular chemistry; spatio-temporal patterns in physical systems from subatomic to astrophysical.

Bio-Molecular & Cellular Systems: Systems biology; protein and DNA folding; bio-molecular informatics; membranes; cellular response and communication; genetic regulation; gene cytoplasm interactions; development; cellular differentiation; primitive multicellular organisms; the immune system; origins of life; biological networks in human health: protein-protein interaction, metabolic and gene regulatory networks; Systems pharmacology.

Physiological & Psychological Systems: Nervous system; sensorimotor systems; computational models of neural and cognitive function; perception, cognition, memory and action; psychological dysfunction; pattern recognition; learning and development; human machine interaction; autonomous mental development; neurocognitive networks.

Organisms & Populations: Population biology; collective behavior of animals; ecosystems; ecology; ecological networks; microbiome; speciation; evolution.

Human Social & Economic Systems: Social networks; socio-technical systems; computational social science; collective intelligence; corporate and social structures and dynamics; organizational behavior and management; urban development; city science; economies and markets; financial systems; risk management; globalization; military systems; global conflicts; social unrest; political networks; interactions between human and natural systems.

Engineered Systems: Design and manufacturing; nano-technology; bioengineering; modified and hybrid biological organisms; computer based interactive systems; multi-agent systems; artificial life; artificial intelligence; robots; communication networks; the Internet; traffic systems; distributed control; resilience; self organizing artifacts; complex systems engineering; biologically inspired engineering; synthetic biology; sensor networks.

LocationCambridge, MA
Starts on22/07/2018
Ends on27/07/2018
Early registration13/04/2018
Registration closes on01/07/2018
Submission deadline16/02/2018 0:00

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