Statistical Methods in Counterterrorism

Statistical Methods in Counterterrorism PDF Author: Alyson Wilson
Publisher: Springer Science & Business Media
ISBN: 0387352090
Category : Mathematics
Languages : en
Pages : 290

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Book Description
With the realization that many clues and hints preceded the September 11 terrorist attacks, statisticians became an important part of the global war on terror. This book surveys emerging research at the intersection of national security and statistical sciences. In it, a diverse group of talented researchers address such topics as Syndromic Surveillance; Modeling and Simulation; Biometric Authentication; and Game Theory. The book includes general reviews of quantitative approaches to counterterrorism, for decision makers with policy backgrounds, as well as technical treatments of statistical issues that will appeal to quantitative researchers.

Statistical Methods in Counterterrorism

Statistical Methods in Counterterrorism PDF Author: Alyson Wilson
Publisher: Springer Science & Business Media
ISBN: 0387352090
Category : Mathematics
Languages : en
Pages : 290

Get Book Here

Book Description
With the realization that many clues and hints preceded the September 11 terrorist attacks, statisticians became an important part of the global war on terror. This book surveys emerging research at the intersection of national security and statistical sciences. In it, a diverse group of talented researchers address such topics as Syndromic Surveillance; Modeling and Simulation; Biometric Authentication; and Game Theory. The book includes general reviews of quantitative approaches to counterterrorism, for decision makers with policy backgrounds, as well as technical treatments of statistical issues that will appeal to quantitative researchers.

Statistical Methods in Counterterrorism

Statistical Methods in Counterterrorism PDF Author: Alyson Wilson
Publisher: Springer
ISBN: 9780387329048
Category : Mathematics
Languages : en
Pages : 292

Get Book Here

Book Description
With the realization that many clues and hints preceded the September 11 terrorist attacks, statisticians became an important part of the global war on terror. This book surveys emerging research at the intersection of national security and statistical sciences. In it, a diverse group of talented researchers address such topics as Syndromic Surveillance; Modeling and Simulation; Biometric Authentication; and Game Theory. The book includes general reviews of quantitative approaches to counterterrorism, for decision makers with policy backgrounds, as well as technical treatments of statistical issues that will appeal to quantitative researchers.

When Terrorism and Counterterrorism Clash

When Terrorism and Counterterrorism Clash PDF Author: Ivan Sascha Sheehan
Publisher: Cambria Press
ISBN: 1934043702
Category : Political Science
Languages : en
Pages : 278

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Book Description
Highly readable with a rich quantitative analysis of the largest ever terrorism database constructed for the period 1992-2004, the results of the study are fascinating and have important implications for current U.S. foreign policy in the Global War on Terrorism. The author has painstakingly examined, with precise numbers, the impact of the use of preemptive force in the War on Terrorism in a way that has never been done before. This is the first publication showcasing compelling data on the impact of the current war on terrorism on the level, lethality and frequency of transnational terrorist activity around the globe. With extremely current data, When Terrorism and Counterterrorism Clash is a critical reference to all in the fields of international relations and political science. "This is the most compelling, provocative, and sophisticated empirical study I've seen of the Global War on Terrorism. It is essential reading for policymakers and scholars and couldn't come at a more critical time." -John N. Paden, Ph.D., Clarence Robinson Professor of International Studies and Professor of Public and International Affairs, George Mason University "This is exactly what we need to make informed policy decisions." - Alireza Jafarzadeh, Author of The Iran Threat: President Ahmadinejad and the Coming Nuclear Crisis and FOX News Channel Foreign Affairs Analyst "A penetrating analysis with a compelling conclusion!" - Daniel Druckman, Professor of Public and International Affairs, George Mason University and Visiting Scholar, Centre for Peace and Conflict Studies, University of Queensland, Brisbane, Australia

Department of Homeland Security Bioterrorism Risk Assessment

Department of Homeland Security Bioterrorism Risk Assessment PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309120284
Category : Political Science
Languages : en
Pages : 172

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Book Description
The mission of Department of Homeland Security Bioterrorism Risk Assessment: A Call for Change, the book published in December 2008, is to independently and scientifically review the methodology that led to the 2006 Department of Homeland Security report, Bioterrorism Risk Assessment (BTRA) and provide a foundation for future updates. This book identifies a number of fundamental concerns with the BTRA of 2006, ranging from mathematical and statistical mistakes that have corrupted results, to unnecessarily complicated probability models and models with fidelity far exceeding existing data, to more basic questions about how terrorist behavior should be modeled. Rather than merely criticizing what was done in the BTRA of 2006, this new NRC book consults outside experts and collects a number of proposed alternatives that could improve DHS's ability to assess potential terrorist behavior as a key element of risk-informed decision making, and it explains these alternatives in the specific context of the BTRA and the bioterrorism threat.

Adversarial Risk Analysis

Adversarial Risk Analysis PDF Author: David L. Banks
Publisher: CRC Press
ISBN: 1498712401
Category : Business & Economics
Languages : en
Pages : 220

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Book Description
Winner of the 2017 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods for allocating defensive or offensive resources against

Review of the Department of Homeland Security's Approach to Risk Analysis

Review of the Department of Homeland Security's Approach to Risk Analysis PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309161525
Category : Political Science
Languages : en
Pages : 161

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Book Description
The events of September 11, 2001 changed perceptions, rearranged national priorities, and produced significant new government entities, including the U.S. Department of Homeland Security (DHS) created in 2003. While the principal mission of DHS is to lead efforts to secure the nation against those forces that wish to do harm, the department also has responsibilities in regard to preparation for and response to other hazards and disasters, such as floods, earthquakes, and other "natural" disasters. Whether in the context of preparedness, response or recovery from terrorism, illegal entry to the country, or natural disasters, DHS is committed to processes and methods that feature risk assessment as a critical component for making better-informed decisions. Review of the Department of Homeland Security's Approach to Risk Analysis explores how DHS is building its capabilities in risk analysis to inform decision making. The department uses risk analysis to inform decisions ranging from high-level policy choices to fine-scale protocols that guide the minute-by-minute actions of DHS employees. Although DHS is responsible for mitigating a range of threats, natural disasters, and pandemics, its risk analysis efforts are weighted heavily toward terrorism. In addition to assessing the capability of DHS risk analysis methods to support decision-making, the book evaluates the quality of the current approach to estimating risk and discusses how to improve current risk analysis procedures. Review of the Department of Homeland Security's Approach to Risk Analysis recommends that DHS continue to build its integrated risk management framework. It also suggests that the department improve the way models are developed and used and follow time-tested scientific practices, among other recommendations.

Protecting Individual Privacy in the Struggle Against Terrorists

Protecting Individual Privacy in the Struggle Against Terrorists PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309124883
Category : Computers
Languages : en
Pages : 377

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Book Description
All U.S. agencies with counterterrorism programs that collect or "mine" personal data-such as phone records or Web sites visited-should be required to evaluate the programs' effectiveness, lawfulness, and impacts on privacy. A framework is offered that agencies can use to evaluate such information-based programs, both classified and unclassified. The book urges Congress to re-examine existing privacy law to assess how privacy can be protected in current and future programs and recommends that any individuals harmed by violations of privacy be given a meaningful form of redress. Two specific technologies are examined: data mining and behavioral surveillance. Regarding data mining, the book concludes that although these methods have been useful in the private sector for spotting consumer fraud, they are less helpful for counterterrorism because so little is known about what patterns indicate terrorist activity. Regarding behavioral surveillance in a counterterrorist context, the book concludes that although research and development on certain aspects of this topic are warranted, there is no scientific consensus on whether these techniques are ready for operational use at all in counterterrorism.

Counterterrorism

Counterterrorism PDF Author: BenoƮt Gomis
Publisher: CRC Press
ISBN: 1482237164
Category : Computers
Languages : en
Pages : 238

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Book Description
Counterterrorism: Reassessing the Policy Response promotes a more nuanced understanding of the effectiveness of current counterterrorism practices and the need for reform. It challenges government, media, and academic accounts that exaggerate terrorist threats, particularly in comparison to other threats such as organized crime. Author BenoGomis r

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications PDF Author: Gary Miner
Publisher: Academic Press
ISBN: 012386979X
Category : Computers
Languages : en
Pages : 1096

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Book Description
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--

Debunking Seven Terrorism Myths Using Statistics

Debunking Seven Terrorism Myths Using Statistics PDF Author: Andre Python
Publisher: CRC Press
ISBN: 9780367472283
Category : Quantitative research
Languages : en
Pages : 142

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Book Description
What is terrorism? What can we learn and what cannot we learn from terrorism data? What are the perspectives and limitations of the analysis of terrorism data? Over the last decade, scholars have generated unprecedented insight from the statistical analysis of ever-growing databases on terrorism. Yet their findings have not reached the public. This book translates the current state of knowledge on global patterns of terrorism free of unnecessary jargon. Readers will be gradually introduced to statistical reasoning and tools applied to critically analyze terrorism data within a rigorous framework. Debunking Seven Terrorism Myths Using Statistics communicates evidence-based research work on terrorism to a general audience. It describes key statistics that provide an overview of the extent and magnitude of terrorist events perpetrated by actors independent of state governments across the world. The books brings a coherent and rigorous methodological framework to address issues stemming from the statistical analysis of terrorism data and its interpretations. Features Uses statistical reasoning to identify and address seven major misconceptions about terrorism. Discusses the implications of major issues about terrorism data on the interpretation of its statistical analysis. Gradually introduces the complexity of statistical methods to familiarize the non-statistician reader with important statistical concepts to analyze data. Use illustrated examples to help the reader develop a critical approach applied to the quantitative analysis of terrorism data. Includes chapters focusing on major aspects of terrorism: definitional issues, lethality, geography, temporal and spatial patterns, and the predictive ability of models.