Complex
Systems, Computer Sciences, Political Science, Sociology
CEU
SUMMER SCHOOL 2009 Complex
Systems and Social Simulations
Co-sponsored
by AITIA International
July
13 - 24, 2009
Application
deadline: |
5
March, 2009 |
APPLY
NOW!
www.sun.ceu.hu/complex
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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