Measuring and Managing Information Risk: A FAIR Approach, Second Edition provides a proven and credible framework for understanding, measuring, and analyzing information risk of any size or complexity using the Factor Analysis of Information Risk (FAIR) methodology developed over ten years and adopted by corporations worldwide. This new edition covers such key areas as risk theory, risk calculation, scenario modeling, and communicating risk within the organization, and also includes new chapters and essays from industry professionals. It provides a step-by-step guide to help managers make better business decisions by understanding their organizational risk.The field has advanced significantly in the past 10 years and this all-new edition reiterates the importance of the foundations of risk measurement but adds information about modern methods to integrate quantitative risk assessment methods into your security programs. This includes the integration of security telemetry data, outside data sources, approaches to automating FAIR assessments, and how to align methods and programs to security standards and regulations. Further discussed is how such approaches are being used by third-party agencies to provide CRQ data to the investors, underwriters, and regulators. This book is a valuable resource for all those who need the foundations, methods, and techniques for measuring, assessing, and communicating cyber risk to enable an organization to build an organizational IT risk management program. It serves as both a practical how-to guide for those new to the industry as well as tenured professionals that need a formalized guide for implementation.
The Encyclopedia of Business Management, Four Volume Set is a comprehensive resource that covers over 200 topics across various areas of business management. Each entry is written in an accessible manner, making complex concepts easy to understand. The encyclopedia addresses interdisciplinary subjects such as cultural entrepreneurship, tourism innovation, and marketing promotions. By emphasizing definitions and practical applications, the entries help readers grasp the relevance of each topic. Expert editors lead each section, ensuring that the contributions are authoritative and well-rounded.The encyclopedia is divided into seven broad themes, including business entrepreneurship, human resource management, innovation management, international business, organizational behavior, project management, supply chain management, and sport and tourism management. Each section's articles begin with a technical analysis of key definitional issues, followed by an exploration of the topic's broader context. This structured approach provides a holistic examination of the subjects, allowing readers to gain a comprehensive understanding of vital business management concepts.
Environmental Meteorology and Climate Manipulation: Solving Climate-Geoengineering Technology Problems serves as a complete and concise view of climate engineering, where geoengineering is an umbrella term for human interventions that change and modify the earth's climate system. The book offers in-depth coverage of how human activity is shaping the earth more than natural forces; where it can be seen as a way of redesigning and modifying the atmosphere of the planet. It offers more viable solutions for climate engineering through theory, technology, and practice, as they relate to established technologies as well as recent and future advancements.
Keynesian Behavioral Macroeconomics analyzes Keynes’s landmark contributions in behavioral economics and develops a new and fresh genre of macroeconomic analysis. It compels us to consider seriously the earlier-generation warnings about the impact of investors’ animal spirits and financiers’ liquidity-presence using cognitive-based and social psychology heuristics. Innovative in its subject matter, approach, theoretical development and policy prescriptions, this constructivist pluralist approach can contribute to important debates. This fresh look in macroeconomics can fruitfully be applied by macroeconomists, policymakers, and market participants to prevent effective demand shortages, stimulate the economy, preserve job creation, and impact redistribution, sustainability and social inclusion.In this timely book, Theodore Koutsobinas develops a synthesis of Keynes’s macroeconomic theory with contemporary developments in behavioral macroeconomics to analyze urgent real-world challenges, and he proposes successful solutions for macroeconomic policy. This volume uniquely explains how Keynes’s magnificent, crucial, but long-forgotten dynamics can be analyzed on the basis of behavioral foundations to explain amplified global finance cycles, booms and busts, and macroeconomic instability with harmful effects on incomes and jobs.
Meeting SDGs in Smart City Infrastructures: Federation, Interoperability and Discoverability explores the current state-of-the-art practices in smart city digitization and e-governance processes, aligning with the UN Sustainable Development Goals. It discusses the pros and cons of various data standards and federation measures involved in the digital transformation of cities from both the end user and implementor’s perspectives. Utilizing real-world use cases from cities worldwide, the book highlights their goals and adopted measures. It provides guidelines for achieving long-term service federation, interoperability, and discoverability while keeping the UN SDGs in perspective.This resource is invaluable for practitioners and researchers in the smart city domain. It will help practitioners and researchers in the smart city domain better understand existing and evolving technologies and how to better formulate their processes to provide a sustainable model for urban development.
Highway Safety Analytics and Modeling, Second Edition comprehensively covers the key elements for effective transportation engineering and policy decisions based on highway safety data analysis in a single reference. It includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating results. It discusses the challenges of working with crash and naturalistic data, identifies problems, and proposes well-researched methods to solve them. It examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. This thoroughly updated second edition updates the material contained in the book based on the latest advancements in highway safety research as well as feedback from readers. It includes entirely new sections on topics such as digital twins as a source of data, model validation, extreme value models, temporal instability, joint crash frequency and severity modeling, sample size, quasi-induced exposure method, autonomous vehicle safety estimate, and more. This book serves as a valuable reference for students, researchers, and practitioners alike. It provides more examples and exercises to help in using the book for courses, and it continues to complement the Highway Safety Manual (HSM) published by the American Association of State Highway and Transportation Officials (AAHSTO), thus helping in the training of engineers and practitioners to better understand the concepts and methods outlined in the forthcoming HSM.
Introduction to Intricate Artificial Psychology with Python unlocks the mysteries of Intricate Artificial Psychology (iAp). This comprehensive guide takes readers through advanced cognitive frameworks and the complex landscape of artificial psychology using Python. Starting with an introduction to iAp, the book explores degrees of prediction and applies Fuzzy Cognitive Maps (IAP). Special focus is given to detecting implicit bias through a combination of Fuzzy Cognitive Maps and SHAP values, offering a unique perspective on artificial intelligence and psychological phenomena. The book covers forecasting in iAp, complex network analysis, and psychological graph analysis (Pga).It delves into the intersection of deep learning and neuroimaging, as well as machine learning techniques in neuroimaging. It includes practical case studies, allowing readers to apply cutting-edge techniques to real-world psychological scenarios.
Advances in Child Development and Behavior, Volume 69, the latest release in this classic resource on the field of developmental psychology, includes a variety of timely updates, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this new release include Autonomic and Attentional Pathways in the Emergence of Autism: Bridging Mechanisms and Real-World Contexts in Infancy, The Sound-of-Words model: a developmental perspective of phonolexical acquisition, The Development of Children's Beliefs about Ability, and Assessing Children’s Spatial Thinking: Insights, Challenges, and Implications,
Progress in Brain Research series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.
Smart Cities of AI Robots and Autonomous Vehicles: The Vision for 2030 explores the transformative potential and challenges of integrating AI-powered robots and autonomous vehicles in urban landscapes, envisioning a futuristic smart city landscape by 2030. It examines how artificial intelligence (AI) robots and self-driving cars will transform daily life, healthcare, education, industry, agriculture, and transportation.