Special Track on Social Simulations

Social simulation is one way to glimpse the future of our society that has not been seen before. Even in the days of big-data, the future is difficult to predict particularly if there are anticipated changes which will affect the course of individuals’ lives fundamentally. Major national policies in welfare; unseen disasters and our preparedness against them; significant changes in our economies; and paradigm and cultural shifts in our societies will influence individuals within a society, and the changes of individuals will create an emergent and systematic turbulence within our society.
These significant and fundamental changes cannot be easily predicted with only data analysis because such data analysis relies on believing that the past behavior would be observed in the future, as well. If we aims at analyzing our future society before and after the major paradigm shifts for individuals, we have to model the individuals; the interactions and the structures of our society; and finally the paradigm shift events. We will use our data as well as modelers’ knowledge and understanding on our society to virtually recreate and simulate our society, which are the fundamental goal of social simulations.
This special session is a place where researchers and practitioners share ideas on the methodologies and the applications of social simulations. Our interested topics are enumerated in the below, yet submissions in the relevant fields are welcome.

  Topics of interests

  • - Methodologies
     Large scale agent-based simulations
     Large scale social networks for social simulations
     GIS based social simulations
     Virtual population generations
     Calibration and validation of virtual societies
     Data-driven social simulation modeling
     Data analysis for social simulations
     Visualization and webizing for social simulations
    - Applications
     Social simulations for economics
     Social simulations for policy making and politics
     Social simulations for disaster management
     Social simulations for history and archaeology
     Social simulations for population analysis
     Social simulations for urban planning and traffics
     Social simulations for belief, cultural, and ideology analysis


  • Track Chair:
    - Hiroshi Deguchi, Tokyo Institute of Technology (Confirming)
    - Wenji Mao, Chinese Academy of Science (Confirming)
    - Il-Chul Moon, KAIST
    - Takao Terano, Tokyo Institute of Technology (Confirming)
    Track Co-Chair:
    - Jang Won Bae, KAIST
    - Chang Won Ahn, ETRI

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