Quantitative Intelligence Analysis describes the model-based method of intelligence analysis that represents the analyst’s mental models of a subject, as well as the analyst’s reasoning process exposing what the analyst believes about the subject, and how they arrived at those beliefs and converged on analytic judgments. It includes: Specific methods of explicitly representing the analyst’s mental models as computational models; dynamic simulations and interactive analytic games; the structure of an analyst’s mental model and the theoretical basis for capturing and representing the tacit knowledge of these models explicitly as computational models detailed description of the use of these models in rigorous, structured analysis of difficult targets; model illustrations and simulation descriptions; the role of models in support of collection and operations; case studies that illustrate a wide range of intelligence problems; And a recommended curriculum for technical analysts.

With the exponential growth in the intelligence field in the last few years, the profession has grown much larger and its mission more complex. Government and private sector security agencies have recruited intelligence analysts to process what has become a voluminous amount of raw information flowing into these agencies' data collection systems. Unfortunately, there is an unmet need for analysts who are able to process these data. For this reason there are a growing number of colleges and universities that offer intelligence training so that candidates for analyst positions can take-up their duties without protracted on-the-job instruction. Handbook of Scientific Methods of Inquiry for Intelligence Analysis offers students in such courses a way of gaining the analytic skills essential to undertake intelligence work. This book acquaints students and analysts with how intelligence fits into the larger research framework. It covers not only the essentials of applied research but also explains the function, structure, and operational methods specifically involved in intelligence work. It looks at how analysts work with classified information in a security conscious environment, as well as obtaining data via covert methods. Students are left with little doubt about what intelligence is and how it is developed using scientific methods of inquiry.

There was a time when AI was seen by many as science fiction, i.e., the healthy endeavour of speculating about the future. Now the future is here. AI has passed from being a visionary discipline to lying at the core of many commercial enterprises. AI programs scattered through the web influence nowadays our lives: by extracting profiles and offering tailored advertisement, helping us in our searches, establishing social networks, providing entertainment...And not just in the net, but also in the physical world. In Japan there are robots that guide customers through marketplaces advising them where to find the product matching their needs, and realistic replicas of university professors allow them to teach their lectures a hundred kilometres away from the classroom. Not to speak about intelligent prostheses and remote high-precision surgery. In the Catalan-speaking world there are no robots in marketplaces yet, but it is coming. Recently, the first commercial humanoid robot was built. Since AI technology is becoming reasonably mature, companies are progressively relying on it. The Catalan Association for Artificial Intelligence (ACIA) tries to promote synergies within the research community and also between the different actors playing a role in the development of AI: from universities to industry, from governmental departments to the information society, from entertainment enterprises to citizen services.

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.

Learn how to use qualitative research as a tool for institutional research. Although institutional researchers often employ informal qualitative methods (their experiences and anecdotal observations), this volume argues that true organizational intelligence is facilitated by formalizing the qualitative data collection and analysis process in institutional research. To that end, it presents a systematic approach to qualitative research in institutional research that connects technical and analytical skills with issues awareness and knowledge of context. Topics covered include: Technical/analytical awareness practices Issues awareness Practices that achieve contextual awareness. This is the 174th volume of this Jossey-Bass quarterly report series. Timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.

The Third Edition of Structured Analytic Techniques for Intelligence Analysis by Randolph H. Pherson and Richards J. Heuer Jr showcases sixty-six structured analytic techniques—nine new to this edition—that represent the most current best practices in intelligence, law enforcement, homeland security, and business analysis. With more depth, detail, and utility than existing handbooks, each technique is clearly and systematically explained. Logically organized and richly illustrated, and with spiral binding and tabs that separate techniques into categories, this book is an easy-to-use, comprehensive reference.

Artificial Intelligence (AI) forms an essential branch of computer science. The field covered by AI is multiform and gathers subjects as various as the engineering of knowledge, the automatic treatment of the language, the training, to quote only some of them. The history of AI knew various periods of evolution passing from periods of doubt at very fertile periods. AI is now in its maturity and did not remain an isolated field of computer science, but approached various fields like statistics, data analysis, linguistics and cognitive psychology or databases. AI is focused on providing solutions to real life problems and is used now in routine in medicine, economics, military or strategy game. This book focuses on subjects including: Machine Learning, Reasoning, Neural Networks, Computer Vision, Planning and Robotics and Multiagent Systems. All the papers collected in this volume would be of interest to any computer scientist or engineer interested in AI.

Crime and Intelligence Analysis: An Integrated Real-Time Approach, 2nd Edition, covers everything crime analysts and tactical analysts need to know to be successful. Providing an overview of the criminal justice system as well as the more fundamental areas of crime analysis, the book enables students and law enforcement personnel to gain a better understanding of criminal behavior, learn the basics of conducting temporal analysis of crime patterns, use spatial analysis to better understand crime, apply research methods to crime analysis, and more successfully evaluate data and information to help predict criminal offending and solve criminal cases. A new chapter provides expert advice about terrorist threats and threat assessment. Criminal justice and police academy students, as well as civilians, sworn officers, and administrators, can build the skills to be credible crime analysts who play a critical role in the daily operations of law enforcement.

The U.S. intelligence community (IC) is a complex human enterprise whose success depends on how well the people in it perform their work. Although often aided by sophisticated technologies, these people ultimately rely on their own intellect to identify, synthesize, and communicate the information on which the nation's security depends. The IC's success depends on having trained, motivated, and thoughtful people working within organizations able to understand, value, and coordinate their capabilities. Intelligence Analysis provides up-to-date scientific guidance for the intelligence community (IC) so that it might improve individual and group judgments, communication between analysts, and analytic processes. The papers in this volume provide the detailed evidentiary base for the National Research Council's report, Intelligence Analysis for Tomorrow: Advances from the Behavioral and Social Sciences. The opening chapter focuses on the structure, missions, operations, and characteristics of the IC while the following 12 papers provide in-depth reviews of key topics in three areas: analytic methods, analysts, and organizations. Informed by the IC's unique missions and constraints, each paper documents the latest advancements of the relevant science and is a stand-alone resource for the IC's leadership and workforce. The collection allows readers to focus on one area of interest (analytic methods, analysts, or organizations) or even one particular aspect of a category. As a collection, the volume provides a broad perspective of the issues involved in making difficult decisions, which is at the heart of intelligence analysis.

Over 3,300 total pages …. Introduction: The National Intelligence University is the Intelligence Community’s sole accredited, federal degree-granting institution. The main campus is located in Bethesda, MD and it also has Academic Centers located around the world. The faculty of NIU are subject matter experts from around the intelligence community who bring a wealth of knowledge and practical experience, as well as academic qualifications, to the classroom. Included titles: BRINGING INTELLIGENCE ABOUT Practitioners Reflect on Best Practices ANTICIPATING SURPRISE Analysis for Strategic Warning Learning With Professionals: Selected Works from the Joint Military Intelligence College THE CREATION OF THE NATIONAL IMAGERY AND MAPPING AGENCY: CONGRESS’S ROLE AS OVERSEER The Coast Guard Intelligence Program Enters the Intelligence Community A Case Study of Congressional Influence on Intelligence Community Evolution THE BLUE PLANET INFORMAL INTERNATIONAL POLICE NETWORKS AND NATIONAL INTELLIGENCE TEACHING INTELLIGENCE AT COLLEGES AND UNIVERSITIES SHAKESPEARE FOR ANALYSTS: LITERATURE AND INTELLIGENCE Out of Bounds: Innovation and Change in Law Enforcement Intelligence Analysis Managing the Private Spies Use of Commercial Augmentation for Intelligence Operations Intelligence Professionalism in the Americas Y: The Sources of Islamic Revolutionary Conduct GLOBAL WAR ON TERRORISM: ANALYZING THE STRATEGIC THREAT SENSEMAKING - A STRUCTURE FOR AN INTELLIGENCE REVOLUTION Finding Leaders Preparing the Intelligence Community for Succession Management EXPERIENCES TO GO: TEACHING WITH INTELLIGENCE CASE STUDIES Democratization of Intelligence Crime Scene Intelligence An Experiment in Forensic Entomology BENEATH THE SURFACE INTELLIGENCE PREPARATION OF THE BATTLESPACE for COUNTERTERRORISM A FLOURISHING CRAFT: TEACHING INTELLIGENCE STUDIES INTELLIGENCE ANALYSIS IN THEATER JOINT INTELLIGENCE CENTERS: AN EXPERIMENT IN APPLYING STRUCTURED METHODS The Common Competencies for State, Local, and Tribal Intelligence Analysts