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Abstract
This paper will explore the different ways in which the International Monetary Fund (IMF) may either intentionally or unintentionally support cross-border terrorism and the financing of Non-State Actors (NSAs). It discusses how the IMF’s lending practices in politically unstable and/or poorly governed countries can strengthen governments that support, tolerate, or are not able to control extremist groups. These financial flows, often given with little oversight after they are disbursed, can increase regional insecurity and disrupt international peace efforts.
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Replit Repository for Code
Description
This Python project contains all the scripts used to support the analysis presented in my paper. The code retrieves economic data from the IMF, organises it into a usable format, performs basic and advanced analysis, and generates visualisations that make the results easy to interpret. The program uses common data science libraries such as Pandas for data handling, NumPy for numerical operations, and Matplotlib for graphs. The workflow begins with data collection, followed by cleaning and restructuring of the dataset. After this, the code runs calculations that highlight trends, comparisons, and key indicators that are relevant to the research questions in the paper. The visual output helps connect the findings in the paper to clear, data backed evidence. The code is hosted on Replit so that anyone can run it without installing extra software, making the analysis accessible to students and researchers.
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