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Measuring(transnational)Organized crime as an Indicator of Global Justice

Fudan Journal of the Humanities and Social Sciences 2020年第2期13卷 211-231页

作者： Marco Dugato Alberto Aziani Universita Cattolica del Sacro Cuore-Transcrime Largo Gemelli120123MilanItaly

Organized crime impacts on societies,and it is one of the main threats to global *** of the presence and activities of organized crime is therefore crucial for the design of effective policies and *** methodological approaches have been proposed to address the two main challenges implied by this effort:(1)the complexity of defining what organized crime is;and(2)the collection and generation of reliable data to estimate ***,organized crime groups increasingly engage in illicit activities that extend beyond their traditional territories and the borders of a single *** expansion is facilitated by the ever-growing economic and social connections among people and *** poses serious threats to countries and their citizens by generating direct and indirect economic damage,affecting social structures,and hindering the development and stability of *** paper discusses the latest methodological advances in measurement of OC within a country or a *** then describes a strategy for assessing OC presence based on the estimation of the transnational illicit markets and the role of countries in those illicit *** from the current research studies are provided.

关键词： Composite indicators Global justice transnational crime Trafficking Mafia Drug trafficking

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Unveiling Global Human Trafficking Trends: A Comprehensive Analysis

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Journal of Data Analysis and Information Processing 2024年第1期12卷 49-75页

作者： Somtobe Olisah Clement Odooh Oghenekome Efijemue Echezona Obunadike Jane Onwuchekwa Omoshola Owolabi Saheed Akintayo Callistus Obunadike Department of Computer Science Austin Peay State University Clarkesville TN USA Department of Data Science Carolina University Winston-Salem NC USA

This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking.

关键词： Human Trafficking Global Trends Data Analysis Victim Demographics Policy Implications Technological Advancements Socioeconomic Factors Forecasting Regional Disparities transnational crime

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