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Features and Added Value of Simulation Models Using Different Modelling Approaches Supporting Policy-Making: A Comparative Analysis

In: Policy Practice and Digital Science

Author

Listed:
  • Dragana Majstorovic

    (University of Koblenz-Landau)

  • Maria A Wimmer

    (University of Koblenz-Landau)

  • Roy Lay-Yee

    (University of Auckland)

  • Peter Davis

    (University of Auckland)

  • Petra Ahrweiler

    (EA European Academy of Technology and Innovation Assessment GmbH)

Abstract

Using computer simulations in examining, explaining and predicting social processes and relationships as well as measuring the possible impact of policies has become an important part of policy-making. This chapter presents a comparative analysis of simulation models utilised in the field of policy-making. Different models and modelling theories and approaches are examined and compared to each other with respect to their role in public decision-making processes. The analysis has shown that none of the theories alone is able to address all aspects of complex policy interactions, which indicates the need for the development of hybrid simulation models consisting of a combinatory set of models built on different modelling theories. Building such hybrid simulation models will also demand the development of new and more comprehensive simulation modelling platforms.

Suggested Citation

  • Dragana Majstorovic & Maria A Wimmer & Roy Lay-Yee & Peter Davis & Petra Ahrweiler, 2015. "Features and Added Value of Simulation Models Using Different Modelling Approaches Supporting Policy-Making: A Comparative Analysis," Public Administration and Information Technology, in: Marijn Janssen & Maria A. Wimmer & Ameneh Deljoo (ed.), Policy Practice and Digital Science, edition 127, chapter 6, pages 95-123, Springer.
    • Handle: RePEc:spr:paitcp:978-3-319-12784-2_6
    DOI: 10.1007/978-3-319-12784-2_6
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    Cited by:

    1. Deborah J Schofield & Melanie J B Zeppel & Owen Tan & Sharyn Lymer & Michelle M Cunich & Rupendra N Shrestha, 2018. "A Brief, Global History of Microsimulation Models in Health: Past Applications, Lessons Learned and Future Directions," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 97-142.

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