Journal of Political Science: Bulletin of Yerevan University
2023; 116–138
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Reconstructing the Political Future of Armenia: Overcoming Contemporary Turbulence Through Role Models

Garik Poghosyan*

Received: 2025-04-02 · Published: 2023-09-29

© 2023 The Author(s) and the original publisher.

CC BY-NC 4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Original title
Reconstructing the Political Future of Armenia: Overcoming Contemporary Turbulence Through Role Models
Author
Garik Poghosyan
Source journal
Journal of Political Science: Bulletin of Yerevan University
Published
2023-09-29
Licence
Creative Commons Attribution-NonCommercial 4.0 International
Original
https://doi.org/10.46991/JOPS/2023.2.5.116

Abstract

This article deals with the problem of reconstructing the political future of post-war Armenia and overcoming modern turbulence in the context of regional instability. Characteristic features of overcoming widespread anxiety in the Armenian society, which manifested itself on the political stage in different ways, from popular protests and early elections to heated debates about the political future in recent years, are highlighted and described. The most important condition for the development of post-war Armenia is the extent to which Armenian society is able to form a concept for its future. Ideas about the future were of particular importance in critical epochs, when the traditional picture of the world was destroyed and new opportunities for social development opened up. But for many centuries, these ideas did not go beyond prophecies, predictions and various kinds of hoaxes, which essentially became the first attempts to predict the future. This article attempts to uncover the main causes of modern instability in Armenia, thereby contributing to the Armenian society to deconstruct and reconstruct the political future. In this context, it also means that even the scientific methodology for knowing the future has not yet been developed, since most scientific methods remain imperfect and do not give the researcher confidence in the accuracy of the forecast.
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