Data Science for Suicide Bombings

Suicide bombing has become one of the most lethal and favorite modus operandi of terrorist organizations worldwide. Information technology and artificial intelligence have seen some tremendous advancement in recent years, and this study is set to use the power of data sciences and predictive analytics for counterterrorism and suicide bombings. This multidisciplinary research work outlines a theoretical framework for personal traumatization and also discusses the methods and ways to analyze the data to uncover trends and patterns. It has also examined the use of statistical models that could help in forecasting suicide bombings.