Knowledge translation, also referred to as knowledge transfer or knowledge exchange, is an ongoing process aimed at simplifying the understanding of scientific concepts for both specialized and general audiences. The process of knowledge translation requires a comprehensive effort by the creators of scientific knowledge to create a common language with both current and future audiences. Despite the necessity of enhancing society's overall competencies to comprehend scientific knowledge, knowledge translation remains a crucial responsibility of the science and technology system. In addition to the efforts that the university system must plan and implement for science translation, the creation of professional mechanisms, such as knowledge brokerage, is becoming increasingly necessary. Knowledge translation is considered an investment to ensure the future of the science and technology system. In this article, we define knowledge translation, discuss its necessity, and outline proposed mechanisms for its promotion within the science and technology system. Additionally, we offer suggestions for improvement. This article can serve as a timely starting point for the institutionalization of scientific knowledge translation within the country's science and technology system.
Hassanzadeh, M. (2025). Knowledge Translation: A Mechanism for Dialogue Between the University and Society. Sciences and Techniques of Information Management, 11(1), 7-16. doi: 10.22091/stim.2025.3498
MLA
Mohammad Hassanzadeh. "Knowledge Translation: A Mechanism for Dialogue Between the University and Society". Sciences and Techniques of Information Management, 11, 1, 2025, 7-16. doi: 10.22091/stim.2025.3498
HARVARD
Hassanzadeh, M. (2025). 'Knowledge Translation: A Mechanism for Dialogue Between the University and Society', Sciences and Techniques of Information Management, 11(1), pp. 7-16. doi: 10.22091/stim.2025.3498
VANCOUVER
Hassanzadeh, M. Knowledge Translation: A Mechanism for Dialogue Between the University and Society. Sciences and Techniques of Information Management, 2025; 11(1): 7-16. doi: 10.22091/stim.2025.3498
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