Methods of Strategic Trade Analysis: Data-Driven Approaches to Detect Illicit Dual-Use Trade - Brossura

Nelson, Christopher

Brossura

ISBN 10: 3031200381 ISBN 13: 9783031200380

Casa editrice: Springer, 2023

Riassunto

This book addresses ways that governments, international organizations, and other stakeholders can utilize data to uncover illicit trade in materials and equipment that could be used to support chemical, biological, nuclear, and advanced conventional weapons systems. Key concepts of strategic trade are introduced, including examples of strategic goods and their potential uses in weapons of mass destruction (WMDs) and weapons systems, the interplay between the Harmonized System and strategic trade control regimes, and the data available for analysis in the field. Innovative, yet practical methodologies to analyze strategic trade cover the use of crime scripts, risk assessment indicators, mirror statistics, market share analysis, and transshipment and re-export analysis.

There are also chapters on leading-edge techniques involving machine learning and network analysis that have shown promise in other areas of crime and illicit trade investigations. Each chapter provides step-by-step instructions on applying the technique, numerous case studies and examples, and discussions of the strengths and weaknesses of each approach. This volume is designed to provide all types of analysts with practical pathways for understanding, detecting, and disrupting illicit procurement of materials and equipment needed to produce WMDs and advanced weapons.

Su questo libro

Informazioni sull'autore

Christopher Nelson has over 14 years of experience in strategic trade analysis, export control regulations, fraud detection, and industrial capabilities research. He has served as a Safeguards Information Analyst at the International Atomic Energy Agency and a Trade and Industry Analyst at the U.S. Department of Commerce, Bureau of Industry and Security. He holds a B.A. in International Studies and Mathematics from American University and an M.A. in War Studies from King's College London.

There are also chapters on leading-edge techniques involving machine learning and network analysis that have shown promise in other areas of crime and illicit trade investigations. Each chapter provides step-by-step instructions on applying the technique, numerous case studies and examples, and discussions of the strengths and weaknesses of each approach. This volume is designed to provide all types of analysts with practical pathways for understanding, detecting, and disrupting illicit procurement of materials and equipment needed to produce WMDs and advanced weapons.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3031200381
• ISBN 13: 9783031200380
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 204
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania