IDEAS home Printed from https://ideas.repec.org/p/ven/wpaper/202412.html
   My bibliography  Save this paper

From Simplicity to Complexity: Three Models for Navigating the Present (Segregation, SIR, ChatGPT)

Author

Listed:
  • Paolo Pellizzari

    (Department of Economics, Ca’ Foscari University of Venice)

Abstract

Models are the cornerstones of scientific thought. They illuminate complex realities, provide keys for interpretation and solutions, and serve as training grounds for intellectual tolerance, rigorous reasoning, flexibility, and humility. This note describes three models, which with a touch of contemporaneity, share the attempt to elucidate what surrounds us. In their diversity, they demonstrate how to delve into the social and linguistic complexity with heightened awareness and a critical spirit.

Suggested Citation

  • Paolo Pellizzari, 2024. "From Simplicity to Complexity: Three Models for Navigating the Present (Segregation, SIR, ChatGPT)," Working Papers 2024: 12, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2024:12
    as

    Download full text from publisher

    File URL: http://www.unive.it/pag/fileadmin/user_upload/dipartimenti/economia/doc/Pubblicazioni_scientifiche/working_papers/2024/WP_DSE_pellizzari_12_24.pdf
    File Function: First version, anno
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Computational modelling; epidemics; segregation; ChatGPT;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines

    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:ven:wpaper:2024:12. 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: Geraldine Ludbrook (email available below). General contact details of provider: https://edirc.repec.org/data/dsvenit.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.