Data Science against Human Trafficking: Evidence from North Macedonia

Session

Computer Science and Communication Engineering

Description

Human trafficking is a severe yet often underreported crime in North Macedonia. With the rapid growth of technology and communication platforms, traffickers have shifted recruitment and exploitation strategies online. This project explores the patterns and trends of human trafficking in Republic of North Macedonia through and through the lens of using Data Mining and Different visual analytics. By using a structured dataset containing Victim demographics, the types of exploitation, recruitment methods and other different attributes, the analysis is Focused on identifying vulnerable groups, especially the individuals of age 18-25 and underage minors. Advanced visualizations have revealed the distribution of trafficking by victims age, the victims gender and nationality, while using decision tree modeling and confusion matrix evaluations provides predictions insights into the relationship between demographic factors and forms of exploitation such as sexual exploitation, forced labor, and forced marriage. The Projects results highlights alarming trends among underage female victims and dominant recruitment tactics, by offering critical support for law enforcement, NGO’s and policymakers. So this project not does only demonstrate the power of data science in social impact research but also provides a data-driven foundation for future interventions against human trafficking in North Macedonia.

Keywords:

Human Trafficking, Exploitation Types, Recruitment Methods, Visual Analytics

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.109

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

Data Science against Human Trafficking: Evidence from North Macedonia

UBT Lipjan, Kosovo

Human trafficking is a severe yet often underreported crime in North Macedonia. With the rapid growth of technology and communication platforms, traffickers have shifted recruitment and exploitation strategies online. This project explores the patterns and trends of human trafficking in Republic of North Macedonia through and through the lens of using Data Mining and Different visual analytics. By using a structured dataset containing Victim demographics, the types of exploitation, recruitment methods and other different attributes, the analysis is Focused on identifying vulnerable groups, especially the individuals of age 18-25 and underage minors. Advanced visualizations have revealed the distribution of trafficking by victims age, the victims gender and nationality, while using decision tree modeling and confusion matrix evaluations provides predictions insights into the relationship between demographic factors and forms of exploitation such as sexual exploitation, forced labor, and forced marriage. The Projects results highlights alarming trends among underage female victims and dominant recruitment tactics, by offering critical support for law enforcement, NGO’s and policymakers. So this project not does only demonstrate the power of data science in social impact research but also provides a data-driven foundation for future interventions against human trafficking in North Macedonia.