Themes of 'Self-representation' and globalization relations in İran contemporary art after 1980
2022
0 views
0 downloads
Advisor: Doç. Dr. Seda Yavuz
Abstract (EN)
When Iranian Contemporary Arts are viewed with a foreign eye, it is possible to find not only artistic aspects, but also many political, cultural and social things belonging to Iranian society. Iranian contemporary artists try to show many political, cultural and social issues of their own society, taking into account local values and global differences. As a person in this multicultural structure in the world, "Self-Representational" has consolidated its place in today's Iranian Contemporary Arts. In our research, the understanding of "self-representation" in Contemporary Iranian Art will be discussed within the framework of the principles of how. In Iranian Contemporary Art, the thematic classification in society will be presented on the basis of "self-representation". In conclusion, it will be presented how Iranian artists, who have a special culture, respond to globalization, and their contributions to Iranian Contemporary Arts with their "self-representation" style will be discussed and our evaluations on this subject will be included. Keywords: Self-Representation, Iranian Contemporary Arts, global, thematic
Author
Dr. Amir Dastmardi
How to Cite
Amir Dastmardi (Doctorate thesis). Themes of 'Self-representation' and globalization relations in İran contemporary art after 1980, 2022, İstanbul University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University
- In the covid 19 pandemic of female employees at a university hospital attitudes and affecting factors in nutrition of 9 months-6 years old children(2022)
- The perception of the right-wing movements in Turkey as to the 27 May Coup: 1960-1980(2020)
- Economic and social life in the Ottoman Empire according to the 1890 year's news of La Turquie Newspaper(2022)
- Land regime in the Umayyads period(2022)
- Merkel hücreli karsinomda tanısal ve prognostik belirteçler(2022)
- Use of machine learning methods in classification of respiratory system diseases(2021)