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Complex Systems and Social Simulations Summer School

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  • laszlo.laufer
    COMPLEX SYSTEMS AND SOCIAL SIMULATIONS SUMMER SCHOOL 2009 Central European University, Budapest, Hungary JULY 13 - 24, 2009 www.sun.ceu.hu/complex Application
    Message 1 of 1 , Feb 13, 2009
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      COMPLEX SYSTEMS AND SOCIAL SIMULATIONS
      SUMMER SCHOOL 2009

      Central European University, Budapest, Hungary
      JULY 13 - 24, 2009

      www.sun.ceu.hu/complex

      Application deadline: 5 March, 2009

      Course Directors:
      Laszlo Gulyas, Collegium Budapest / ELTE, Department of History and
      Philosophy of Science, Hungary
      Gyorgy Kampis, Collegium Budapest, Focus Group on the Philosophy of
      Complexity / ELTE, Department of History and Philosophy of Science,
      Hungary

      Faculty:
      Petra Arhweiler, University of Hamburg / University of Bielefeld,
      Faculty of Sociology, Germany
      Albert-Laszlo Barabasi, Northeastern University, Department of Physics
      / Center for Cancer Systems Biology, Dana Farber Cancer Institute,
      Harvard University, US
      Flaminio Squazzoni, (to be confirmed)
      Ferenc Jordan, Animal Ecology Research Group of the Hungarian Academy
      of Sciences (HAS), Budapest, Hungary
      Imre Kondor, Collegium Budapest, Hungary
      Scott Page, University of Michigan, Ann Arbor, USA
      Klaus G. Troitzsch, University of Koblenz-Landau, Germany
      Balazs Vedres, CEU, Center for Network Science, Budapest, Hungary
      ________________________________________

      The summer school is aimed at providing a state-of-the-art cutting-
      edge scientific and research-oriented training for junior faculty,
      young researchers, postdoctoral fellows, MA and Ph.D. students, and
      professionals from European and overseas universities and research
      institutes on complex systems and social simulations.

      The term Complex Systems (CSS) denotes an interdisciplinary research
      methodology currently successful in the social sciences and elsewhere.
      CS research originated from physics and nonlinear systems some decades
      ago but its models have soon permeated such distant fields as economy,
      political science or more recently sociology. As implied by the name,
      a CS is essentially a system of many complicated interactions. Complex
      Systems methodology has developed sophisticated yet well understood
      tools to cope with this challenge. In social systems the essence of CS
      is the characterization of the distributed dynamics of how the
      interaction of many actors and variables leads to predictable
      phenomena, which often involve hierarchy, emergence, dynamic
      structures and large scale transitions.

      Each day in the course focuses on one tool of this encompassing
      methodology. CS methods include various mathematical models (nonlinear
      systems, networks, statistical approaches), computer simulations (e.g.
      systems dynamics, agent-based modeling). CS simulations are highly
      computation intensive and pose problems of supercomputing and
      parallelization.

      The CSSS course offers lectures, tutorials and discussions on the
      whole spectrum of the above. Lectures are from leading experts,
      specifically focusing on CS concepts, modeling and (social)
      simulation, followed by discussion.
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