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Welcome to the Complex Systems Digital Campus (CS-DC)

a UNESCO


Website of the

First CS-DC'15 world e-conference

29 Sept. - 1st Oct. 2015


The Complex Systems Digital Campus is an international network of individuals and institutions working together and sharing resources to promote research and education in complex systems science and in integrative sciences. This large scale collaborative work will embody social intelligent strategies towards new scientific and educational practices, dealing with the difficult scientific, societal and environmental challenges of an increasingly interconnected world.

The CS-DC international network of institutions comprises more than 100 higher education and research institutions and was recognized as an UNESCO UniTwin in July 2014 with the signature of a Cooperation Programme with the Director-General of UNESCO. The main objectives of the Cooperation Programme are to:
  • promote an integrated system of research, education and training, information and documentation in the domain of the science and engineering of complex systems,
  • contribute to the aims of global development by taking into account its social, economic and cultural dimensions and to this end, make the science and engineering of complex systems accessible to all, in order to get the relations between science, engineering, politics and ethics to evolve towards a sustainable development,
  • contribute to a research and education of the highest quality in the domain of the science of complex systems,
  • promote the development of integrated knowledge and integrated models of complex systens in order to bridge the gap between science and engineering,
  • promote a lifelong personalised education for all in the science of complex systems as well as in integrative and predictive sciences — including the integrative and predictive science of personalised education for all — at all levels,
  • contribute to an education and training in citizen cyber-science, open to all, independently of previously achieved academic levels, respectful of the diversity of social and cultural environments, genders, religions or ways of life.
In order to achieve these objectives, the object of the current agreement is to:
  • launch a Complex Systems Digital Campus as a social intelligent ICT system in order to federate all resources and efforts on education, research and the applications of the science of complex systems,
  • launch the CS-DC roadmap at all scales in order to identify the scientific, educational and societal challenges of CS-DC with its cloud-based computational ecosystem and educational ecosystem,
  • launch the scientific cloud-based computational ecosystem of the CS-DC in order to construct complex systems of societal impact, by sharing partial multi-level models as well as software platforms and e-infrastructures of all kinds,
  • launch the educational ecosystem of the CS-DC in order to construct a map of integrated knowledge, with the aim of creating and adapting educational contents as well as to develop a lifelong personalised education on complex systems.
The CS-DC international network of scientists is in charge of constructing the challenges of the living roadmap and producing/sharing the research and educational resources for dealing with these challenges. The living roadmap of complex systems is under peer to peer interaction with the whole scientific community on the CS-DC Wikiversity portal.

Constructing the living roadmap of complex systems

There are “dual and equivalent” scientific strategies for developing the living roadmap of complex systems:
  • starting with a great transversal question and looking to the responses through the main classes of multi-level complex systems. All together, their scientific challenges constitute the international living roadmap of the complex systems science, as a transdiscipline.
  • starting with a main class of multi-level complex systems and looking to the responses to the great transversal questions. The result constitutes the living roadmap of an integrative and predictive science, as a transdiscipline.
These two dual scientific strategies are producing two equivalent roadmaps, because its horizontal chapters and is vertical chapter are covering exactly the same matrix of scientific challenges.

Producing/sharing the resources for overcoming the roadmap challenges

By construction, the CS-DC organisation has almost exactly the same structure as the living roadmap: the e-departments correspond to the chapters; the e-laboratories and project-teams are covering in a more and more precise and complete way the matrix. Their new results from research and education by research are shared as CS-DC resources for overcoming new challenges. The permanent transdiciplinary interactions in the matrix increase the natural convergence between the theoretical aspects of the living international roadmap of complex systems and the experimental aspects of the living international roadmaps of the new integrative science. This "natural convergence" is of the same kind as the reciprocal co-evolution of mathematics and physics in the last centuries.

What are Complex Systems?


Complex Systems are open, value-laden multi-level multi-component reconfigurable systems of systems, situated in turbulent, unstable, and changing environments. They evolve, adapt and transform through internal and external dynamic interactions. They are the source of very difficult scientific challenges for observing, understanding, reconstructing and predicting their multi-scale dynamics. The challenges posed by the multi-scale modelling of both natural and artificial adaptive complex systems can only be met with radically new collective strategies for research and teaching.

What are Complex Systems science and Integrative Sciences?


Complex systems science and new integrative sciences bridges the gap between the individual and the collective: from genes to organisms to ecosystems, from atoms to materials to products, from digital media to the Internet, from citizens to society. It cuts across all disciplines. It enables new and shorter paths between scientists and integrates the flow of scientific knowledge. It reduces the gap between pure and applied science, establishing new foundations for the design, control and management of systems with unprecedented levels of complexity, which exceed the capacity of current approaches. It will benefit the environment and industry, the health and education sector and all public and social actors. Understanding complex systems will be the basis of worldwide wealth and socio-economic wellbeing in the 21st century.



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