Based upon ten case studies, Prediction explores how science-based predictions guide policy making and what this means in terms of global warming, biogenetically modifying organisms and polluting the environment with chemicals.

Advances and major investments in the field of neuroscience can enhance traditional behavioral science approaches to training, learning, and other applications of value to the Army. Neural-behavioral indicators offer new ways to evaluate how well an individual trainee has assimilated mission critical knowledge and skills, and can also be used to provide feedback on the readiness of soldiers for combat. Current methods for matching individual capabilities with the requirements for performing high-value Army assignments do not include neuropsychological, psychophysiological, neurochemical or neurogenetic components; simple neuropsychological testing could greatly improve training success rates for these assignments. Opportunities in Neuroscience for Future Army Applications makes 17 recommendations that focus on utilizing current scientific research and development initiatives to improve performance and efficiency, collaborating with pharmaceutical companies to employ neuropharmaceuticals for general sustainment or enhancement of soldier performance, and improving cognitive and behavioral performance using interdisciplinary approaches and technological investments. An essential guide for the Army, this book will also be of interest to other branches of military, national security and intelligence agencies, academic and commercial researchers, pharmaceutical companies, and others interested in applying the rapid advances in neuroscience to the performance of individual and group tasks.

Future Trends: A Guide to Decision Making and Leadership in Business is the first and only book to link a decision-making and leadership platform to trends pointing to the future. By identifying sixty global, long-term trends and detailing how businesspeople can leverage them in both the short- and long-term, the book provides readers with a powerful body of knowledge unavailable anywhere else. In Future Trends, consultant and futurist Larry Samuel: Identifies sixty significant and opportunistic global, long-term trends; Details how businesspeople can leverage each trend in both the short- and long-term via a decision-making and leadership platform; Helps readers be recognized as a trusted source and “go-to” person in their respective field by becoming more fluent in the future; Takes a 360-degree, holistic view of tomorrow by examining cultural, economic, political, social, scientific, and technological trends; Steers clear from here-today-gone-tomorrow things and experiences that comprise most glimpses into the emerging cultural landscape Future Trends is divided into six sections covering Cultural Trends, Economic Trends, Political Trends, Social Trends, Scientific Trends, and Technological Trends. Each section includes ten trends that indicate where the world is heading. Many futurists focus on technology, forgetting the fact that the ways in which people actually live their lives are shaped by many other factors. Future Trends thus takes a 360-degree, holistic view of tomorrow, offering readers a fuller understanding of life on Earth over the next couple of decades.

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

What are you really missing out on? You're home on a Friday night, scrolling through Instagram, ready to go to bed. You see pictures on your timeline of a party you were invited to, but didn't go to. You were confident when you said no, but now you can't stop thinking about it, and you start feeling worse. You have FOMO, or, Fear of Missing Out. Coined in a Harvard Business School article, FOMO has become a global term to describe the decimating anxiety when thinking other people are having better, more fulfilling, experiences than you are. It's a natural, biological response, but that doesn't make it feel any better. Amplified by the rise of social media, #FOMO has become a cultural crisis—so what's the cure? Patrick McGinnis, creator of the term FOMO, has been thinking about it for seventeen years—and he has a solution: decision-making. Learning to weigh the costs and benefits of your choices, prioritizing your decisions, and listening to your gut are central to silencing FOMO and its lesser-known cousin, FOBO: Fear of a Better Option. After all, don't you want to feel comfortable and confident in your decisions? Written with self-evaluations throughout the book, Fear of Missing Out: Practical Decision Making in a World of Overwhelming Choice helps you ascertain and eliminate the parts of your life that are causing more anxiety than happiness. So give this a read, and then go to that party, start that new book, create a new goal—or don't. Make that decision, and be confident in it: it's the first of many of its kind.

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

This breakthrough study examines how business decisions explain successful and unsuccessful performance. Real world and academic research is evaluated, including interviews and cases studies, to create a model of how decisions and performance are connected for businesses of all sizes. Recommendations are made to optimize decision making and projections about the future of decision making and performance are provided.