Technology-driven change is accelerating at an exponential rate, but moving fast in the wrong direction will only get you into trouble faster! Reacting to problems and digital disruptions, no matter how agile you and your organization are, is no longer good enough. The Anticipatory Organization teaches you how to separate the Hard Trends that will happen, from the Soft Trends that might happen, allowing you to jump ahead with low risk and the confidence certainty can provide. Accelerate innovation and actively shape the future—before someone else does it for you! Digital transformation has divided us all into two camps: the disruptor and the disrupted. The Anticipatory Organization gives you the tools you need to see disruption before it happens, allowing you to turn change into advantage. In The Anticipatory Organization, Burrus shows us that the future is far more certain than we realize, and finding certainty in an uncertain world provides a big advantage for those who know how and where to look for it. Inspired by the dramatic results that organizations are experiencing from his award-winning learning system, The Anticipatory Organization offers a comprehensive way to identify game-changing opportunities. Using the principles of this proven model, you will learn how to elevate planning, accelerate innovation, and transform results by pinpointing and acting upon enormous opportunities waiting to be discovered. Readers will learn how to: • Separate the Hard Trends that will happen from the Soft Trends that might happen • Anticipate disruptions, problems, and game-changing opportunities • Identify and pre-solve predictable problems • Accelerate innovation (both everyday innovation and exponential innovation) • Pinpoint and act upon enormous untapped opportunities ​• Skip problems and barriers to succeed faster

Public policy analysts and political pundits alike tend to describe the policymaking process as a reactive sequence in which government develops solutions for clearly evident and identifiable problems. While this depiction holds true in many cases, it fails to account for instances in which public policy is enacted in anticipation of a potential future problem. Whereas traditional policy concerns manifest themselves through ongoing harms, "anticipatory problems" are projected to occur sometime in the future, and it is the prospect of their potentially catastrophic impact that generates intense speculation and concern in the present. Anticipatory Policymaking: When Government Acts to Prevent Problems and Why It Is So Difficult provides an in depth examination of the complex process through which United States government institutions anticipate emerging threats. Using contemporary debates over the risks associated with nanotechnology, pandemic influenza, and global warming as case study material, Rob A. DeLeo highlights the distinctive features of proactive governance. By challenging the pervasive assumption of reactive policymaking, DeLeo provides a dynamic approach for conceptualizing the political dimensions of anticipatory policy change.

Robert Rosen was not only a biologist, he was also a brilliant mathematician whose extraordinary contributions to theoretical biology were tremendous. Founding, with this book, the area of Anticipatory Systems Theory is a remarkable outcome of his work in theoretical biology. This second edition of his book Anticipatory Systems, has been carefully revised and edited, and includes an Introduction by Judith Rosen. It has also been expanded with a set of Prolegomena by Dr. Mihai Nadin, who offers an historical survey of this fast growing field since the original work was published. There is also some exciting new work, in the form of an additional chapter on the Ontology of Anticipation, by Dr. John Kineman. An addendum-- with autobiographical reminiscences by Robert Rosen, himself, and a short story by Judith Rosen about her father-- adds a personal touch. This work, now available again, serves as the guiding foundations for the growing field of Anticipatory Systems and, indeed, any area of science that deals with living organisms in some way, including the study of Life and Mind. It will also be of interest to graduate students and researchers in the field of Systems Science.

In Global Risk Agility and Decision Making, Daniel Wagner and Dante Disparte, two leading authorities in global risk management, make a compelling case for the need to bring traditional approaches to risk management and decision making into the twenty-first century. Based on their own deep and multi-faceted experience in risk management across numerous firms in dozens of countries, the authors call for a greater sense of urgency from corporate boards, decision makers, line managers, policymakers, and risk practitioners to address and resolve the plethora of challenges facing today’s private and public sector organizations. Set against the era of manmade risk, where transnational terrorism, cyber risk, and climate change are making traditional risk models increasingly obsolete, they argue that remaining passively on the side-lines of the global economy is dangerous, and that understanding and actively engaging the world is central to achieving risk agility. Their definition of risk agility taps into the survival and risk-taking instincts of the entrepreneur while establishing an organizational imperative focused on collective survival. The agile risk manager is part sociologist, anthropologist, psychologist, and quant. Risk agility implies not treating risk as a cost of doing business, but as a catalyst for growth. Wagner and Disparte bring the concept of risk agility to life through a series of case studies that cut across industries, countries and the public and private sectors. The rich, real-world examples underscore how once mighty organizations can be brought to their knees—and even their demise by simple miscalculations or a failure to just do the right thing. The reader is offered deep insights into specific risk domains that are shaping our world, including terrorism, cyber risk, climate change, and economic resource nationalism, as well as a frame of reference from which to think about risk management and decision making in our increasingly complicated world. This easily digestible book will shed new light on the often complex discipline of risk management. Readers will learn how risk management is being transformed from a business prevention function to a values-based framework for thriving in increasingly perilous times. From tackling governance structures and the tone at the top to advocating for greater transparency and adherence to value systems, this book will establish a new generation of risk leader, with clarion voices calling for greater risk agility. The rise of agile decision makers coincides with greater resilience and responsiveness in the era of manmade risk.

The availability of today’s online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of interdependent decisions occurs, making a single decision raises the need for anticipation of its future impact on the entire decision process. Anticipatory support is needed for a broad variety of dynamic and stochastic decision problems from different operational contexts such as finance, energy management, manufacturing and transportation. Example problems include asset allocation, feed-in of electricity produced by wind power as well as scheduling and routing. All these problems entail a sequence of decisions contributing to an overall goal and taking place in the course of a certain period of time. Each of the decisions is derived by solution of an optimization problem. As a consequence a stochastic and dynamic decision problem resolves into a series of optimization problems to be formulated and solved by anticipation of the remaining decision process. However, actually solving a dynamic decision problem by means of approximate dynamic programming still is a major scientific challenge. Most of the work done so far is devoted to problems allowing for formulation of the underlying optimization problems as linear programs. Problem domains like scheduling and routing, where linear programming typically does not produce a significant benefit for problem solving, have not been considered so far. Therefore, the industry demand for dynamic scheduling and routing is still predominantly satisfied by purely heuristic approaches to anticipatory decision making. Although this may work well for certain dynamic decision problems, these approaches lack transferability of findings to other, related problems. This book has serves two major purposes: ‐ It provides a comprehensive and unique view of anticipatory optimization for dynamic decision making. It fully integrates Markov decision processes, dynamic programming, data mining and optimization and introduces a new perspective on approximate dynamic programming. Moreover, the book identifies different degrees of anticipation, enabling an assessment of specific approaches to dynamic decision making. ‐ It shows for the first time how to successfully solve a dynamic vehicle routing problem by approximate dynamic programming. It elaborates on every building block required for this kind of approach to dynamic vehicle routing. Thereby the book has a pioneering character and is intended to provide a footing for the dynamic vehicle routing community.