Modeling the emergence of collaborationism

Abstract

This paper explores the complex phenomenon of collaborationism, particularly in the context of Russian aggression against Ukraine. It examines the socio-political, economic, and ideological factors that contribute to an individual's propensity to collaborate with occupying forces. By leveraging extensive data collected in Ukraine, the study proposes a novel approach using neural networks to model the emergence of collaborationism. This approach aims to identify potential collaborators by analyzing indicators such as material well-being, ideological beliefs, and moral qualities. The research highlights the importance of understanding the interplay between pre-existing conditions and trigger events, offering predictive models that can be applied across Europe to enhance national and international security frameworks. The findings underscore the need for comprehensive strategies to address both the symptoms and root causes of collaborationism, thereby strengthening resilience against internal and external threats.

Keywords: Collaborationism, Ukraine, Neural Network, Resilience, International Security, Predictive Modeling

DOI: 10.54941/ahfe1005882