IDEAS home Printed from https://ideas.repec.org/h/fpr/ifpric/175535.html
   My bibliography  Save this book chapter

What do we know about the future of foresight modeling related to food systems?

In: What do we know about the future of food systems?

Author

Listed:
  • Wiebe, Keith D.
  • Mosnier, Aline
  • Mason-D'Croz, Daniel
  • Petsakos, Athanasios
  • Svensson, Johannes
  • Zurek, Monika

Abstract

“Foresight modeling” is thinking about the future using a simplified representation of reality to inform choices we make today. Quantitative foresight modeling is increasingly used to inform decision-making related to food systems by analytically exploring alternative possible futures in a world that is becoming more complex and uncertain. Foresight modeling is improving in coverage and resolution, but various technical and institutional gaps remain. Artificial intelligence can help gather and synthesize information to improve foresight modeling, but it cannot replace the role of human expertise and foresight in testing assumptions and helping to shape the future. To be most effective, quantitative foresight modeling needs to be better linked with qualitative foresight approaches and complemented by engagement with decision-makers in an ongoing and systematic process.

Suggested Citation

  • Wiebe, Keith D. & Mosnier, Aline & Mason-D'Croz, Daniel & Petsakos, Athanasios & Svensson, Johannes & Zurek, Monika, 2025. "What do we know about the future of foresight modeling related to food systems?," IFPRI book chapters, in: What do we know about the future of food systems?, chapter 37, pages p. 223-22, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:ifpric:175535
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/10568/175535
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:fpr:ifpric:175535. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    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.