Intelligence Analysis From Problem Solvers

Knowing how intelligence analysis can help solve problems and how problem-solving can improve the effectiveness of intelligence analysis will aid any police practitioner interested in reducing crime or disorder. This manual fuses aspects of intelligence analysis with Problem-Oriented Policing. It is focused on the analysis of intelligence and has been written for three groups in local policing agencies: (1) intelligence officers and analysts, (2) crime analysts who may be called upon to use intelligence information and, (3) police managers who supervise crime and intelligence analysts.

Knowing how intelligence analysis can help solve problems and how problem-solving can improve the effectiveness of intelligence analysis will aid any police practitioner interested in reducing crime or disorder. This manual fuses aspects of intelligence analysis with Problem-Oriented Policing. It is focused on the analysis of intelligence and has been written for three groups in local policing agencies: (1) intelligence officers and analysts, (2) crime analysts who may be called upon to use intelligence information and, (3) police managers who supervise crime and intelligence analysts.

After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.

The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.

The cultural, social, and economic history of mankind is characterized by a succession of needs and problems that have stimulated the invention of operational and conceptual tools to facilitate their solution. The continuous presentation of new needs, an attempt to improve partial solutions to old problems, curiosity, and the disinterested search for knowledge then constituted the fundamental push for scientific, cultural, economic, and social progress. In an increasingly digital society, where software technological tools permeate daily life and, consequently, change the management of reality, mastering of transversal skills is crucial for success. Computational thinking is a set of transversal skills related to the foundations of computer science as a scientific discipline and means a mastering to the process of solving problems. The goal of computational thinking is to acquire interpretative perspectives of reality, which allows one to read the digital experience competently and responsibly. Computational Thinking for Problem Solving and Managerial Mindset Training explores how individuals can be trained into managerial mindsets through computational thinking and computer science. It explores how computer science can be used as a valid guideline to develop skills such as effective soft skills, communication skills, and collaboration. Further, the chapters explore the adoption of computational thinking for individuals to gain managerial mindsets and successfully solve questions and problems in their domain of interest. This will include artificial intelligence applications, strategic thinking, management training, ethics, emergency managerial mindsets, and more. This book is valuable for managers, professionals, practitioners, researchers, academicians, and students interested in how computational thinking can be applied for the training of managerial mindsets.

Environmental criminology is a term that encompasses a range of overlapping perspectives. At its core, the many strands of environmental criminology are bound by a common focus on the role that the immediate environment plays in the performance of crime, and a conviction that careful analyses of these environmental influences are the key to the effective investigation, control, and prevention of crime. This new edition brings together leading theorists and practitioners in the field to provide a comprehensive, integrative coverage of the field of environmental criminology and crime analysis. This book is divided into three sequential parts: • Understanding the crime event explores routine activity approach, crime pattern theory, the rational choice perspective, and situational precipitators of crime. • Analysing crime patterns discusses crime mapping, offender mobility, repeat victimisation, geographic profiling, and crime scripts. • Preventing and controlling crime covers topics including problem oriented policing, situational crime prevention, and environmental design. Fully updated and including new chapters on crime scripts and offender mobility, a scene-setting introductory overview, and critical thinking questions at the end of each chapter, this text is an essential and comprehensive resource for practitioners and students taking courses on environmental criminology, crime analysis, and crime prevention.

Community policing, as a philosophy, supports the systematic use of partnerships and problem-solving techniques to proactively address the immediate conditions that give rise to public safety issues, including crime, social disorder, and fear of crime—as opposed to responding to crime after it occurs. Community policing expands the traditional police mandate. It broadens the focus of fighting crime to include solving community problems and forming partnerships with people in the community so average citizens can contribute to the policing process. Originating during police reform efforts of the 1970s, the philosophy of community policing is currently widespread and embraced by many citizens, police administrators, scholars, and local and federal politicians. What sorts of collaborative partnerships have evolved between policing agencies and the individuals and communities they serve? How do police departments engage in systematic examination of identified problems to develop effective responses? How have police departments aligned their organizational structures to best support community partnerships and proactive problem solving? Just how effective have efforts at community policing been? These questions and more are explored within the pages of this new reference work. Features: A collection of 150 to 175 entries are organized in A-to-Z fashion in one volume available in both electronic and print formats. Signed entries, authored by significant figures in the field, each conclude with Cross-References and Suggestions for Further Readings to guide students to in-depth resources. Brief "What Works" case studies within appropriate entries profile community policing programs and strategies as tried in various cities and communities. Although organized in A-to-Z fashion, a thematic "Reader′s Guide" in the front matter groups related entries by broad topic areas (e.g., Foundations; Methods & Practices; Legislation & National Organizations; Changing Agency Culture; Planning & Implementation; Training & Curriculum; Assessment & Evaluation; etc.). Also included in the front matter, a Chronology provides students with historical perspective of the development of community policing. The entire work concludes with a Resources appendix listing classic books, journals, and associations, followed by a comprehensive Index.

Whether you are a student or a working professional, you can benefit from being better at solving the complex problems that come up in your life. Strategic Thinking in Complex Problem Solving provides a general framework and the necessary tools to help you do so. Based on his groundbreaking course at Rice University, engineer and former strategy consultant Arnaud Chevallier provides practical ways to develop problem solving skills, such as investigating complex questions with issue maps, using logic to promote creativity, leveraging analogical thinking to approach unfamiliar problems, and managing diverse groups to foster innovation. This book breaks down the resolution process into four steps: 1) frame the problem (identifying what needs to be done), 2) diagnose it (identifying why there is a problem, or why it hasn't been solved yet), 3) identify and select potential solutions (identifying how to solve the problem), and 4) implement and monitor the solution (resolving the problem, the 'do'). For each of these four steps - the what, why, how, and do - this book explains techniques that promotes success and demonstrates how to apply them on a case study and in additional examples. The featured case study guides you through the resolution process, illustrates how these concepts apply, and creates a concrete image to facilitate recollection. Strategic Thinking in Complex Problem Solving is a tool kit that integrates knowledge based on both theoretical and empirical evidence from many disciplines, and explains it in accessible terms. As the book guides you through the various stages of solving complex problems, it also provides useful templates so that you can easily apply these approaches to your own personal projects. With this book, you don't just learn about problem solving, but how to actually do it.