IDEAS home Printed from https://ideas.repec.org/a/oup/scippl/v50y2023i6p977-987..html
   My bibliography  Save this article

Diversification, integration, and opening: developments in modelling for policy

Author

Listed:
  • Anja Bauer
  • Leo Capari
  • Daniela Fuchs
  • Titus Udrea

Abstract

Closely-associated with calls for evidence-based policy-making, computer models are increasingly used to support public policies on a wide range of complex and controversial issues, ranging from energy and trade policies to regulating chemicals. In this article, we discuss three trends in modelling for policy and their implications for the authority of models in policy-making. First, we observe the proliferation of models and the differentiation of respective modelling landscapes and communities, resulting in intensified competition for political authority and early path dependencies in their political use. Second, different models are increasingly coupled or integrated into complex model frameworks, raising questions of comprehensibility and accountability. Third, modelling for policy experiences calls for transparency and opening that should serve scientific demands of replicability and verifications as well as political demands of legitimacy. In conclusion, we emphasise the continuous relevance of social scientific analyses of modelling for policy.

Suggested Citation

  • Anja Bauer & Leo Capari & Daniela Fuchs & Titus Udrea, 2023. "Diversification, integration, and opening: developments in modelling for policy," Science and Public Policy, Oxford University Press, vol. 50(6), pages 977-987.
  • Handle: RePEc:oup:scippl:v:50:y:2023:i:6:p:977-987.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/scipol/scad038
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:scippl:v:50:y:2023:i:6:p:977-987.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/spp .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.