Using Open Data to Detect Organized Crime Threats

Part I. Key Concepts

1. Organised Crime as a Framework Concept
Andrea Gimenez-Salinas Framis

2. Measuring Organised Crime: Complexities of the Quantitative and Factorial Analysis
Daniel Sansó-Rubert Pascual

Part II. Methodology

3. Scanning of Open Data for Detection of Emerging Organized Crime Threats—The ePOOLICE Project
Raquel Pastor Pastor, Henrik Legind Larsen

4. Foresight and the Future of Crime: Advancing Environmental Scanning Approaches
Martin Kruse, Adam D. M. Svendsen

5. Big Data—Fighting Organized Crime Threats While Preserving Privacy
Anne Gerdes

6. Horizon Scanning for Law Enforcement Agencies: Identifying Factors Driving the Future of Organized Crime
Timothy Ingle, Andrew Staniforth

7. Macro-environmental Factors Driving Organised Crime
José María Blanco, Jéssica Cohen

8. Extracting Future Crime Indicators from Social Media
Thomas Delavallade, Pierre Bertrand, Vincent Thouvenot

9. Organised Crime, Wild Cards and Dystopias
José María Blanco, Jéssica Cohen

Part III. Use-Cases

10. Operation Golf: A Human Trafficking Case Study
Bernie Gravett

11. Radicalization in a Regional Context: Future Perspective on Possible Terrorist Threats and Radicalization
Holger Nitsch

12. Why Do Links Between Terrorism and Crime Increase?
Luis Corte Ibáñez, Hristina Hristova Gergova

Avainsanat: Criminology and Criminal Justice, Criminology and Criminal Justice, general, Data Mining and Knowledge Discovery