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Computational social science

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Title: Computational social science  
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Subject: Computer accessibility, Social sciences, Michael D. Smith (computer scientist), Requirements Modeling Framework, Requirements analysis
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Computational social science

Computational social science refers to the academic sub-disciplines concerned with computational approaches to the social sciences. Fields include computational economics and computational sociology.

Computational social science is the integrated, interdisciplinary pursuit of social inquiry with emphasis on information processing and through the medium of advanced computation. The main computational social science areas are automated information extraction systems, social network analysis, social geographic information systems (GIS), complexity modeling, and social simulation models. Just like Galileo exploited the telescope as the key instrument for observing and gaining a deeper and empirically truthful understanding of the physical universe, computational social scientists are learning to exploit the advanced and increasingly powerful instruments of computation to see beyond the visible spectrum of more traditional disciplinary analyses.[1]

External links

  • ESSA: European Social Simulation Association portal
  • PAAA: Pan-Asian Association for Agent-based Approach in Social Systems Sciences
  • CSSSA: Computational Social Science Society of the Americas

References

  1. ^ WILEY Interdisciplinary Reviews: Computational Statistics, Vol. 2, no. 3, May/June 2010: pp. 259–271.
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