The essays in this volume all originated at the 2001 conference of the International Society for the Study of Time. The theme 'Time and Uncertainty' sounds redundant, but the contributions try to come to terms with the irreducible openness of time and the impermanence of life. The essays from various disciplines have been grouped around 'fracture and rupture' (grappling with time and uncertainty as a breach) and 'rapture and structure (solving uncertainty into pattern).
Managing uncertainty has become a new business imperative. Technological discontinuities, regulatory upheavals, geopolitical shocks, abrupt shifts in consumer tastes or behavior, and many other factors have emerged or intensified in recent years and together conspire to undermine even the most carefully constructed business strategies. Managing Uncertainty: Strategies for Surviving and Thriving in Turbulent Times addresses these new challenges, assessing the sources of business turbulence, how to classify uncertainty, and the different ways in which uncertainty can be embraced to allow greater innovation and growth. Drawing on examples from around the world, the book presents the most recent ideas on what it means to manage uncertainty, from practitioners, academics, and consultants. Addresses the challenges of managing uncertainty in business Presents a step-by-step guide to managing business uncertainty Draws examples from major international companies, including Intel, Procter & Gamble, Siemens, Boeing, Quinetiq, Philips, China Telecom, Ford, Apple, Shell, Glaxo SmithKline and many more Written for business leaders and managers looking for new ways to ensure that their businesses continue to thrive in a world of increasing complexity, Managing Uncertainty presents new and innovative ideas about reducing risk by understanding difficult-to-predict shifts.
Adulthood is taken for granted. It connotes the end of childhood, the resolution to the “storm and stress” period of adolescence. This conception is strongly entrenched in the sociology of youth and the sociology of the life course as well as in the policy arena. At the same time, adulthood itself remains unarticulated; journey’s end remains conceptually fixed and theoretically uncontested. Adulthood, then, is both central to the social imagination and neglected as an area of sociological investigation, something that has been noted by sociologists over the last four decades. Going beyond the overwhelmingly psychological literature, this book draws on original qualitative research and theories of social recognition and thus presents a first step towards filling an important gap in our understanding of the meaning of adulthood.
Time, uncertainty, and great power politics -- The arrival of imperial Germany -- The rise of the United States -- The resurgence of interwar Germany -- The origins of the Cold War -- Conclusion and the rise of China
This book is published open access under a CC BY 4.0 license. Predicting the time needed to complete a project, task or daily activity can be difficult and people frequently underestimate how long an activity will take. This book sheds light on why and when this happens, what we should do to avoid it and how to give more realistic time predictions. It describes methods for predicting time usage in situations with high uncertainty, explains why two plus two is usually more than four in time prediction contexts, reports on research on time prediction biases, and summarizes the evidence in support of different time prediction methods and principles. Based on a comprehensive review of the research, it is the first book summarizing what we know about judgment-based time predictions. Large parts of the book are directed toward people wishing to achieve better time predictions in their professional life, such as project managers, graphic designers, architects, engineers, film producers, consultants, software developers, or anyone else in need of realistic time usage predictions. It is also of benefit to those with a general interest in judgment and decision-making or those who want to improve their ability to predict and plan ahead in daily life.
Marketing, when you boil it all down, deals with just two things: figuring out who you want to sell to and then determining how you are going to get them to buy your product, service, or idea. In Relevance: The Power to Change Minds and Behavior and Stay Ahead of the Competition, Andrea Coville, who heads a global marketing and public relations agency, successfully showed us how to get today's busy, distracted consumers to buy. Booklist called Relevance a thought-provoking guide to success in today's noisy communications world. Here, in her follow-up work, Coville's focus is on helping you create Relevance in our current moment of uncertainty caused by the pandemic, social unrest, and ever-increasing technological change. She lays out, in step-by-step fashion, what you need to do and how to do it. And Coville also provides numerous case studies--profiling large global companies, smaller firms, nonprofits, and universities--who have created Relevance successfully. It has never been more difficult to get people to listen to what you have to say. Coville explains why you have to create deep, lasting, and mutually satisfying relationships with the people who keep you in business--and then she shows you how to do it. By the time you are done reading, you will have a series of strategies that have been proven to work when it comes to changing minds and behavior, strategies that will help you stay ahead of the competition. You will also be able to craft an effective marketing strategy that will allow your message to reach today's busy, distracted customers (a description that fits just about everyone you are trying to reach). As Richard Cote, executive director for Advancement at the Thayer School of Engineering at Dartmouth, correctly points out: Whether you work for an Ivy League college, a nonprofit organization, or a for-profit enterprise, there is one common thread and path to success: people relationships. That means understanding the needs, the hopes, the aspirations of people and making those come alive in the services and products you represent. Andy's book on Relevance nails this point crisply. You can have the best offering in the world, highly designed and expertly targeted, but without a real, relevant connection to people, it will go nowhere. Her book provides a step-by-step program on not only building relevance to your audiences or customers but sustaining and expanding it. The book, Creating Relevance in a Time of Uncertainty, provides both the diagnosis and the prescription with well-articulated cases and proven methodology. It's a must-read for leaders who seek the people-centered 'secret sauce' that differentiates your organization or enterprise and propels it forward in the midst of tough competition and global economic and pandemic headwinds.
The amount of new information is constantly increasing, faster than our ability to fully interpret and utilize it to improve human experiences. Addressing this asymmetry requires novel and revolutionary scientific methods and effective human and artificial intelligence interfaces. By lifting the concept of time from a positive real number to a 2D complex time (kime), this book uncovers a connection between artificial intelligence (AI), data science, and quantum mechanics. It proposes a new mathematical foundation for data science based on raising the 4D spacetime to a higher dimension where longitudinal data (e.g., time-series) are represented as manifolds (e.g., kime-surfaces). This new framework enables the development of innovative data science analytical methods for model-based and model-free scientific inference, derived computed phenotyping, and statistical forecasting. The book provides a transdisciplinary bridge and a pragmatic mechanism to translate quantum mechanical principles, such as particles and wavefunctions, into data science concepts, such as datum and inference-functions. It includes many open mathematical problems that still need to be solved, technological challenges that need to be tackled, and computational statistics algorithms that have to be fully developed and validated. Spacekime analytics provide mechanisms to effectively handle, process, and interpret large, heterogeneous, and continuously-tracked digital information from multiple sources. The authors propose computational methods, probability model-based techniques, and analytical strategies to estimate, approximate, or simulate the complex time phases (kime directions). This allows transforming time-varying data, such as time-series observations, into higher-dimensional manifolds representing complex-valued and kime-indexed surfaces (kime-surfaces). The book includes many illustrations of model-based and model-free spacekime analytic techniques applied to economic forecasting, identification of functional brain activation, and high-dimensional cohort phenotyping. Specific case-study examples include unsupervised clustering using the Michigan Consumer Sentiment Index (MCSI), model-based inference using functional magnetic resonance imaging (fMRI) data, and model-free inference using the UK Biobank data archive. The material includes mathematical, inferential, computational, and philosophical topics such as Heisenberg uncertainty principle and alternative approaches to large sample theory, where a few spacetime observations can be amplified by a series of derived, estimated, or simulated kime-phases. The authors extend Newton-Leibniz calculus of integration and differentiation to the spacekime manifold and discuss possible solutions to some of the "problems of time". The coverage also includes 5D spacekime formulations of classical 4D spacetime mathematical equations describing natural laws of physics, as well as, statistical articulation of spacekime analytics in a Bayesian inference framework. The steady increase of the volume and complexity of observed and recorded digital information drives the urgent need to develop novel data analytical strategies. Spacekime analytics represents one new data-analytic approach, which provides a mechanism to understand compound phenomena that are observed as multiplex longitudinal processes and computationally tracked by proxy measures. This book may be of interest to academic scholars, graduate students, postdoctoral fellows, artificial intelligence and machine learning engineers, biostatisticians, econometricians, and data analysts. Some of the material may also resonate with philosophers, futurists, astrophysicists, space industry technicians, biomedical researchers, health practitioners, and the general public.
This excellent new book from one of the brightest young economists, Giuseppe Fontana, involves a compendium of issues surrounding uncertainty, money and time. Fontana shines a post Keynesian light onto statements and claims made by well-known neo-classical authors and as such leaves readers with an interesting and informative book to be read and re-read by all those scholars and students involved with monetary economics.
