Bibliographic Details
| Title: |
Norbert Wiener Memorial Gold medal is awarded to Matjaž Mulej. |
| Authors: |
Perko, Igor1 (AUTHOR) igor.perko@um.si, Espejo, Raul2 (AUTHOR) r.espejo@syncho.org |
| Source: |
Kybernetes. 2020, Vol. 49 Issue 5, p1529-1531. 3p. |
| Subjects: |
Wiener, Norbert, 1894-1964, Cybernetics, Medals, Frankfurter sausages, Systems theory, Social responsibility, Social constructionism |
| Abstract: |
Purpose: The purpose of this memorandum is to share the awarding of one of the most prestigious recognitions in systems thinking and cybernetics: The World Organisation of Systems and Cybernetics (WOSC) Norbert Wiener Memorial Gold medal was awarded in June 2019 to Professor Emeritus, PhD, PhD, Matjaž Mulej for his long-life contributions. Design/methodology/approach: The Norbert Wiener Memorial Gold medal was awarded to Professor Emeritus, PhD, PhD, Matjaž Mulej based on the combination of extensive literature analysis and the Delphi approach. Findings: Based on Professor Emeritus, PhD, PhD, Matjaž Mule's exceptional accomplishments in the field of systems thinking and cybernetics, especially the Dialectical Systems Theory and the notion of requisite holism, combined with his visionary projects as, for instance, the development and application of social responsibility concepts, he was nominated and awarded this esteemed medal. Research limitations/implications: The Norbert Wiener Memorial Gold medal draws the focus to important work of exceptional individuals and at the same time drives researchers to follow his example in research and overall behaviour. Originality/value: The Norbert Wiener Memorial Gold medal has been awarded to 12 people during the past 50 years of WOSC's existence. Only researchers that have provided significant imprint in systems thinking and cybernetics with their research and organisational activities in society, organisations and communities can be nominated for this prize. [ABSTRACT FROM AUTHOR] |
|
Copyright of Kybernetes is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |