IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-05326-4_14.html
   My bibliography  Save this book chapter

Iconography of Science Representations as Visual Concepts in the Digital Era. First Outline

In: The Visual Language of Technique

Author

Listed:
  • Federico Alberto Brunetti

    (Politecnico di Milano, Department of Design)

Abstract

As far as apparently distant, the discoveries of scientific investigation and the inventions of new modalities of representation in arts encourage each other to develop knowledge to understand the reality around us. The iconic component becomes particularly important in this type of path, as it can even shape the thought that generated it. The technologies and tools developed in the history of science, and even more the computing power of digital technology, allow us to explore scales of time and space profoundly remote from our existential coordinates. An interesting interweaving is actually occurring. “Big Science” is verifying an unexpected and significant correlation of interests concerning some fundamental arguments, in an unexpected continuum of open questions and possible cross-solutions, from the Zeptospace to the new cosmology. Digital platforms now make it totally interagibile the relationship between pure alphanumeric data and their presentation through qualitative forms of spatiotemporal algorithms. This possible visual quality of the quantitative values reasonably prelude to a series of next-generation -or mutation—of scientific iconography. The Statistical disciplines of probabilities are reasonably matching with the arts of imagination, in a process of deep convergence between the power of techno-sciences on the human mind to suggest new perceptions for the creativity and the imagination in arts.

Suggested Citation

  • Federico Alberto Brunetti, 2015. "Iconography of Science Representations as Visual Concepts in the Digital Era. First Outline," Springer Books, in: Luigi Cocchiarella (ed.), The Visual Language of Technique, edition 127, pages 119-123, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-05326-4_14
    DOI: 10.1007/978-3-319-05326-4_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-319-05326-4_14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.