In Challenges in Intelligence Analysis, first published in 2010, Timothy Walton offers concrete, reality-based ways to improve intelligence analysis.

In Challenges in Intelligence Analysis, Timothy Walton offers concrete, reality-based ways to improve intelligence analysis. After a brief introduction to the main concepts of analysis, he provides more than forty historical and contemporary examples that demonstrate what has, and what has not, been effective when grappling with difficult problems. The examples cover a wide span of time, going back 3,000 years. They are also global in scope and deal with a variety of political, military, economic, and social issues. Walton emphasizes the importance of critical and creative thinking and how such thinking can be enhanced. His 2010 book provides a detailed and balanced idea of intelligence work and will be of particular interest to students who are contemplating a career in intelligence analysis.

In Challenges in Intelligence Analysis, Timothy Walton offers concrete, reality-based ways to improve intelligence analysis. After a brief introduction to the main concepts of analysis, he provides more than forty historical and contemporary examples that demonstrate what has, and what has not, been effective when grappling with difficult problems. The examples cover a wide span of time, going back 3,000 years. They are also global in scope and deal with a variety of political, military, economic, and social issues. Walton emphasizes the importance of critical and creative thinking and how suc.

This book tracks post 9/11 developments in national security and policing intelligence and their relevance to new emerging areas of intelligence practice such as: corrections, biosecurity, private industry and regulatory environments. Developments are explored thematically across three broad sections: applying intelligence understanding structures developing a discipline. Issues explored include: understanding intelligence models; the strategic management challenges of intelligence; intelligence capacity building; and the ethical dimensions of intelligence practice. Using case studies collected from wide-ranging interviews with leaders, managers and intelligence practitioners from a range of practice areas in Australia, Canada, New Zealand, the UK and US, the book indentifies examples of good practice across countries and agencies that may be relevant to other settings. Uniquely bringing together significant theoretical and practical developments in a sample of traditional and emerging areas of intelligence, this book provides readers with a more holistic and inter-disciplinary perspective on the evolving intelligence field across several different practice contexts. Intelligence and Intelligence Analysis will be relevant to a broad audience including intelligence practitioners and managers working across all fields of intelligence (national security, policing, private industry and emerging areas) as well as students taking courses in policing and intelligence analysis.

In their Second Edition of Cases in Intelligence Analysis: Structured Analytic Techniques in Action, accomplished instructors and intelligence practitioners Sarah Miller Beebe and Randolph H. Pherson offer robust, class-tested cases studies of events in foreign intelligence, counterintelligence, terrorism, homeland security, law enforcement, and decision-making support. Designed to give analysts-in-training an opportunity to apply structured analytic techniques and tackle real-life problems, each turnkey case delivers a captivating narrative, discussion questions, recommended readings, and a series of engaging analytic exercises.

The intelligence community (IC) plays an essential role in the national security of the United States. Decision makers rely on IC analyses and predictions to reduce uncertainty and to provide warnings about everything from international diplomatic relations to overseas conflicts. In today's complex and rapidly changing world, it is more important than ever that analytic products be accurate and timely. Recognizing that need, the IC has been actively seeking ways to improve its performance and expand its capabilities. In 2008, the Office of the Director of National Intelligence (ODNI) asked the National Research Council (NRC) to establish a committee to synthesize and assess evidence from the behavioral and social sciences relevant to analytic methods and their potential application for the U.S. intelligence community. In Intelligence Analysis for Tomorrow: Advances from the Behavioral and Social Sciences, the NRC offers the Director of National Intelligence (DNI) recommendations to address many of the IC's challenges. Intelligence Analysis for Tomorrow asserts that one of the most important things that the IC can learn from the behavioral and social sciences is how to characterize and evaluate its analytic assumptions, methods, technologies, and management practices. Behavioral and social scientific knowledge can help the IC to understand and improve all phases of the analytic cycle: how to recruit, select, train, and motivate analysts; how to master and deploy the most suitable analytic methods; how to organize the day-to-day work of analysts, as individuals and teams; and how to communicate with its customers. The report makes five broad recommendations which offer practical ways to apply the behavioral and social sciences, which will bring the IC substantial immediate and longer-term benefits with modest costs and minimal disruption.

Drawing on the individual and collective experience of recognized intelligence experts and scholars in the field, Analyzing Intelligence provides the first comprehensive assessment of the state of intelligence analysis since 9/11. Its in-depth and balanced evaluation of more than fifty years of U.S. analysis includes a critique of why it has under-performed at times. It provides insights regarding the enduring obstacles as well as new challenges of analysis in the post-9/11 world, and suggests innovative ideas for improved analytical methods, training, and structured approaches. The book's six sections present a coherent plan for improving analysis. Early chapters examine how intelligence analysis has evolved since its origins in the mid-20th century, focusing on traditions, culture, successes, and failures. The middle sections examine how analysis supports the most senior national security and military policymakers and strategists, and how analysts must deal with the perennial challenges of collection, politicization, analytical bias, knowledge building and denial and deception. The final sections of the book propose new ways to address enduring issues in warning analysis, methodology (or "analytical tradecraft") and emerging analytic issues like homeland defense. The book suggests new forms of analytic collaboration in a global intelligence environment, and imperatives for the development of a new profession of intelligence analysis. Analyzing Intelligence is written for the national security expert who needs to understand the role of intelligence and its strengths and weaknesses. Practicing and future analysts will also find that its attention to the enduring challenges provides useful lessons-learned to guide their own efforts. The innovations section will provoke senior intelligence managers to consider major changes in the way analysis is currently organized and conducted, and the way that analysts are trained and perform.

These essays cover: assessment systems now in place in Britain, the USA, Germany and Australia; the bureaucratic dynamics of analysis and assessment; the changing ground in intelligence; and the impact of new technologies and modes of communication on intelligence gathering and analysis.

This report assesses intelligence analysis across the main U.S. intelligence agencies and makes a number of recommendations, some of which parallel initiatives that have begun in the wake of the December 2004 legislation, for instance, create a Deputy Director of National Intelligence as a focal point for analysis, establish a National Intelligence University, build a Long Term Analysis Unit at the National Intelligence Council, and form an Open Source Center for making more creative use of open-source materials.

"Bruce Pease has written a much needed book on a long ignored topic: how does one lead analysts? Most analysis is at some level a group activity, whether in government or the private sector. Much has been written about good versus bad analysis and how to train analysts, but Pease, himself a veteran senior CIA analyst and manager, focuses on what the leaders of these analysts need to know and should be thinking about. Leadership matters in analysis as in all other endeavors, and Pease offers invaluable guidance on how to lead effectively. This book is a must for anyone in a leadership role in an analytic enterprise." —Mark M. Lowenthal, PhD, Intelligence & Security Academy, LLC Written by an experienced professional who has led Navy Intelligence and CIA analysts in high-stakes situations, Leading Intelligence Analysis introduces the fundamental managerial skills and practical tools needed to lead analysis projects conducted by individuals and teams. Author Bruce Pease provides insights into key questions such as What kind of environment draws out a team’s best work? What brings out their creativity? When does pressure bring out their best insights? When does pressure sap their intellectual energy? and What kind of team builds new knowledge rather than engaging in group-think? This book draws on the author’s perspective from decades of leading intelligence analysts on critical issues, including war in the Middle East, terrorism after 9/11, and nuclear threats. Key Features Practical advice helps leaders of analytic units nurture insight with the understanding that it can be enabled but not manufactured. Discussion of a range of different types of analysis serves leaders conducting research in areas including data analysis, security analysis, geopolitical analysis, threat warning, counterterrorism, and business climate analysis. Practical advice on judging IT tools guides leaders to the correct data science approach for various situations.