Computational Models of Political and Social Events

July 18 - July 25, 2009, Lipari Island


lipari

General aim and scope. Following the two very successful school series of the Lipari International Summer School on Computer Science and Bioinformatics and Computational Biology, it is felt as appropriate to start a new summer school series dedicated to a very well established, challenging and fast growing discipline: Computational Social Sciences.

The focus of Computational Social Science is on rendering social theory into computational constructs to investigate and experiment in situations where direct observations of human behavior is not possible or not ethical. The development of new theory and new insights that can be applied from the artificial to the natural world.

The spirit of the new series is the same as the old one. In particular, all efforts will be made to expose young researchers to formal lectures given by recognized authorities in the field, while at the same time enjoying the relaxing atmosphere of one of the most beautiful italian islands. Tutorial sessions will also take place and will be delivered either by the Directors of the summer school or by qualified young scientists in their research groups. The aim and scope of the tutorials is to provide knowledge that is perceived as fundamental both to a young scientist willing to become scientifically active in the field and to a young scientist simply willing to get acquainted with the area. Both the formal lectures and the tutorial will be tailored to an interdisciplinary audience.

Aim and scope: The theme of the school Computational Models of Political and Social Events will focus on mathematical and computational models in political science. The models of reference will be sociopolitical complexity, governance, and socio-natural systems in evolving environments. There are four lecture series, each of three hours, and four tutorials, each of one hour. Two series of lectures are devoted to computational and mathematical modeling for political events, with special emphasis on event data analysis, agent-based modeling, while the other two are devoted to game theory and group behaviour. The tutorials will cover the most recent advances in Data Mining, Statistics and foundation of political science.

Lecturers

  • Prof. Phil Schrodt [abstract]
    Department of Political Science, University of Kansas, USA
    Political Science

  • Prof. Claudio Cioffi-Revilla [abstract]
    Center for Social Complexity - George Mason University, USA
    Political Science

  • Prof. Roy Lindelauf [abstract]
    Faculty of Economics and Business Administration - Royal Netherlands Defense Academy, Netherlands
    Math/game theory

  • Prof. V.S. Subrahmanian [abstract]
    Computer Science Department and Director - Univ. of Maryland Inst. for Advanced Computer Studies, USA
    Computer Science

Tutorials

Computer Science Side
  • Dr. G. Giuffrida
    University of Catania, Italy
    Data base and Data mining: tools and techniques [abstract]

  • Dr. C.I. Sismeiro
    Imperial College, London, UK
    Statistical Models: tools and techniques [abstract]
Social and Political Science Side
  • Prof. M.C. Agodi
    Università Federico II di Napoli, Italy
    Socio-logic: the formal models [abstract]

  • Prof. R. Bichi
    Università Cattolica di Milano, Italy
    Socio-logic: the informal models [abstract]

Practical Sections

Computer Science Side
  • Dr. R. Giugno, Dr. A. Pulvirenti
    University of Catania, Italy
    Data mining using Weka [abstract]

Social and Political Science Side
  • Dr. Giuseppe Inturri
    University of Catania, Italy
    Agent-Based Models using NetLogo [abstract]

School Directors

  • Prof. Alfredo Ferro (University of Catania)
  • Prof. V.S. Subrahmanian (University of Maryland)

Scientific committee

Political and Social Sciences
  • Giovanni Gennaro, University of Catania
  • Carlo Pennisi, University of Catania
  • Giuseppe Vecchio, University of Catania
Computer Science
  • Giovanni Giuffrida, University of Catania
  • Rosalba Giugno, University of Catania
  • Alfredo Pulvirenti, University of Catania