Calculating Catastrophe has been written to explain, to a general readership, the underlying philosophical ideas and scientific principles that govern catastrophic events, both natural and man-made. Knowledge of the broad range of catastrophes deepens understanding of individual modes of disaster. This book will be of interest to anyone aspiring to understand catastrophes better, but will be of particular value to those engaged in public and corporate policy, and the financial markets.The author, Dr. Gordon Woo, was trained in mathematical physics at Cambridge, MIT and Harvard, and has made his career as a calculator of catastrophes. His diverse experience includes consulting for IAEA on the seismic safety of nuclear plants and for BP on offshore oil well drilling. As a catastrophist at Risk Management Solutions, he has advanced the insurance modelling of catastrophes, including designing a model for terrorism risk.
From President Bill Clinton's recommended reading list Publishers Weekly Bestseller Warnings is the story of the future of national security, threatening technologies, the U.S. economy, and possibly the fate of civilization. In Greek mythology Cassandra foresaw calamities, but was cursed by the gods to be ignored. Modern-day Cassandras clearly predicted the disasters of Katrina, Fukushima, the Great Recession, the rise of ISIS, the spread of viruses and many more. Like the mythological Cassandra, they were ignored. There are others right now warning of impending disasters—from cyber attacks to pandemics—but how do we know which warnings are likely to be right? Through riveting explorations in a variety of fields, the authors—both accomplished CEOs and White House National Security Council veterans—discover a method to separate the accurate Cassandras from the crazy doomsayers. They then investigate the experts who today are warning of future disasters: the threats from artificial intelligence, bio-hacking, malware attacks, and more, and whose calls are not being heeded. Clarke’s and Eddy’s penetrating insights are essential for any person, any business, or any government that doesn’t want to be a blind victim of tomorrow’s catastrophe.
Calculating Catastrophe has been written to explain, to a general readership, the underlying philosophical ideas and scientific principles that govern catastrophic events, both natural and man-made. Knowledge of the broad range of catastrophes deepens understanding of individual modes of disaster. This book will be of interest to anyone aspiring to understand catastrophes better, but will be of particular value to those engaged in public and corporate policy, and the financial markets.The author, Dr. Gordon Woo, was trained in mathematical physics at Cambridge, MIT and Harvard, and has made his career as a calculator of catastrophes. His diverse experience includes consulting for IAEA on the seismic safety of nuclear plants and for BP on offshore oil well drilling. As a catastrophist at Risk Management Solutions, he has advanced the insurance modelling of catastrophes, including designing a model for terrorism risk.
A collection of essays, fictions, and interviews exploring the weird temporalities of finance and catastrophe. Once, financial practitioners plied a hybrid trade as hydrologists, star-gazers, and weather-watchers who sought to discover the natural laws of value and exchange as they did the divine order of an unchanging nature. Today, corporate firms hire trend forecasters and scenario planners to play out strategic fictions in virtual worlds. Hurricane insurance markets simulate a turbulent climate to offer investment instruments to hedge against the risks of the stock market. And for financial astrologers operating in the city of London, celestial motions provide a cosmic map that orients the mood of terrestrial markets. Bringing together artists, researchers, and interstitial practitioners, Catastrophe Time! pays attention to the conditions of speculative knowledge on an increasingly volatile planet. Traversing a gray zone between rigorous research and operative science fictions, its contributors question how practices of speculation may transform, undermine, and at times exceed, the worlds they set out to model. Edited by artist Gary Zhexi Zhang, Catastrophe Time! explores the power of temporal technologies—whether currencies, conspiracies, or simulation models—to shape reality through fiction. By bringing together researchers and writers working at the boundaries of temporal practices, including Diann Bauer, Philip Grant, Bahar Noorizadeh, Habib William Kherbek, Klara Kofen, Kei Kreutler, Suhail Malik, Bassem Saad and Gordon Woo, this urgent volume seeks to make sense of the unraveling times in which we live.
This book covers both the practical and theoretical aspects of catastrophe modelling for insurance industry practitioners and public policymakers. Written by authors with both academic and industry experience it also functions as an excellent graduate-level text and overview of the field. Ours is a time of unprecedented levels of risk from both natural and anthropogenic sources. Fortunately, it is also an era of relatively inexpensive technologies for use in assessing those risks. The demand from both commercial and public interests—including (re)insurers, NGOs, global disaster management agencies, and local authorities—for sophisticated catastrophe risk assessment tools has never been greater, and contemporary catastrophe modelling satisfies that demand. Combining the latest research with detailed coverage of state-of-the-art catastrophe modelling techniques and technologies, this book delivers the knowledge needed to use, interpret, and build catastrophe models, and provides greater insight into catastrophe modelling’s enormous potential and possible limitations. The first book containing the detailed, practical knowledge needed to support practitioners as effective catastrophe risk modellers and managers Includes hazard, vulnerability and financial material to provide the only independent, comprehensive overview of the subject, accessible to students and practitioners alike Demonstrates the relevance of catastrophe models within a practical, decision-making framework and illustrates their many applications Includes contributions from many of the top names in the field, globally, from industry, academia, and government Natural Catastrophe Risk Management and Modelling: A Practitioner’s Guide is an important working resource for catastrophe modelling analysts and developers, actuaries, underwriters, and those working in compliance or regulatory functions related to catastrophe risk. It is also valuable for scientists and engineers seeking to gain greater insight into catastrophe risk management and its applications.
The clock is relentlessly ticking! Our world teeters on a knife-edge between a peaceful and prosperous future for all, and a dark winter of death and destruction that threatens to smother the light of civilization. Within 30 years, in the 2030 decade, six powerful 'drivers' will converge with unprecedented force in a statistical spike that could tear humanity apart and plunge the world into a new Dark Age. Depleted fuel supplies, massive population growth, poverty, global climate change, famine, growing water shortages and international lawlessness are on a crash course with potentially catastrophic consequences. In the face of both doomsaying and denial over the state of our world, Colin Mason cuts through the rhetoric and reams of conflicting data to muster the evidence to illustrate a broad picture of the world as it is, and our possible futures. Ultimately his message is clear; we must act decisively, collectively and immediately to alter the trajectory of humanity away from catastrophe. Offering over 100 priorities for immediate action, The 2030 Spike serves as a guidebook for humanity through the treacherous minefields and wastelands ahead to a bright, peaceful and prosperous future in which all humans have the opportunity to thrive and build a better civilization. This book is powerful and essential reading for all people concerned with the future of humanity and planet earth.
Is it possible that the insurance and reinsurance industries cannot handle a major catastrophe? Ten years ago, the notion that the overall cost of a single catastrophic event might exceed $10 billion was unthinkable. With ever increasing property-casualty risks and unabated growth in hazard-prone areas, insurers and reinsurers now envision the possibility of disaster losses of $50 to $100 billion in the United States. Against this backdrop, the capitalization of the insurance and reinsurance industries has become a crucial concern. While it remains unlikely that a single event might entirely bankrupt these industries, a big catastrophe could place firms under severe stress, jeopardizing both policy holders and investors and causing profound ripple effects throughout the U.S. economy. The Financing of Catastrophe Risk assembles an impressive roster of experts from academia and industry to explore the disturbing yet realistic assumption that a large catastrophic event is inevitable. The essays offer tangible means of both reassessing and raising the level of preparedness throughout the insurance and reinsurance industries.
A thorough explanation of the mathematical theories, philosophies, and economics of catastrophes with a view to how humanity should be prepared for events with catastrophic consequences This book presents a holistic view of natural and man-made catastrophes, from mathematical theories and philosophy through to economics and policy. It is both academic and applied in its approach, offering both empirical evidence and academic reflections to give a new perspective on an ever-developing topic, and providing many examples of public policy and catastrophe responses from around the world. Natural and Man-made Catastrophes: Theories, Economics, and Policy Designs begins by introducing readers to numerous natural and man-made catastrophes and how catastrophe theories have played a pivotal role in designing policies and responses to them. It discusses hurricanes, earthquakes, nuclear disaster, asteroid collision, Large Hadron Collider, artificial intelligence, uncontrollable robots, global warming, infectious diseases without antibodies, and bioterrorism. It clarifies key mathematical and scientific theories—such as catastrophe theory, chaos, singularity, fractal, tipping point, unbounded variance, fat-tail, and Feigenbaum constant—on catastrophes. The book goes on to examine ancient and contemporary philosophies that have played critical roles in humanity’s understanding of catastrophic outcomes. The book critically builds the economics of catastrophic events 1) by consolidating the catastrophe literature in natural sciences, scientific theories, and philosophy; 2) by constructing global empirical catastrophe data and analytical models using historical data on hurricanes and earthquakes; 3) and by critically reviewing policy experiences on the aforementioned catastrophic events. Lays the foundation for the economic analyses and policy-making on potential humanity/universe threatening catastrophes Includes many examples of public policy and behavioral responses to catastrophes from around the world Provides a wide-ranging commentary on crucial implications of the studies, models, and concepts of catastrophes Synthesizes the catastrophe literature in mathematical theories, philosophical traditions, economic analyses, policy studies, and contemporary concerns. Natural and Man-made Catastrophes: Theories, Economics, and Policy Designs is an important book for students, teachers, professionals, and policy makers who are involved in environmental research and disaster response.
"All disasters are in some sense man-made." Setting the annus horribilis of 2020 in historical perspective, Niall Ferguson explains why we are getting worse, not better, at handling disasters. Disasters are inherently hard to predict. Pandemics, like earthquakes, wildfires, financial crises. and wars, are not normally distributed; there is no cycle of history to help us anticipate the next catastrophe. But when disaster strikes, we ought to be better prepared than the Romans were when Vesuvius erupted, or medieval Italians when the Black Death struck. We have science on our side, after all. Yet in 2020 the responses of many developed countries, including the United States, to a new virus from China were badly bungled. Why? Why did only a few Asian countries learn the right lessons from SARS and MERS? While populist leaders certainly performed poorly in the face of the COVID-19 pandemic, Niall Ferguson argues that more profound pathologies were at work--pathologies already visible in our responses to earlier disasters. In books going back nearly twenty years, including Colossus, The Great Degeneration, and The Square and the Tower, Ferguson has studied the foibles of modern America, from imperial hubris to bureaucratic sclerosis and online fragmentation. Drawing from multiple disciplines, including economics, cliodynamics, and network science, Doom offers not just a history but a general theory of disasters, showing why our ever more bureaucratic and complex systems are getting worse at handling them. Doom is the lesson of history that this country--indeed the West as a whole--urgently needs to learn, if we want to handle the next crisis better, and to avoid the ultimate doom of irreversible decline.
