Epicentre to Aftermath makes both empirical and conceptual contributions to the growing body of disaster studies literature by providing an analysis of a disaster aftermath that is steeped in the political and cultural complexities of its social and historical context. Drawing together scholars from a range of disciplines, the book highlights the political, historical, cultural, artistic, emotional, temporal, embodied and material dynamics at play in the earthquake aftermath. Crucially, it shows that the experience and meaning of a disaster are not given or inevitable, but are the outcome of situated human agency. The book suggests a whole new epistemology of disaster consequences and their meanings, and dramatically expands the field of knowledge relevant to understanding disasters and their outcomes.

Considerations of the effect of trauma on heritage sites.

An examination of how changing public information infrastructures shaped people's experience of earthquakes in Northern California in 1868, 1906, and 1989. When an earthquake happens in California today, residents may look to the United States Geological Survey for online maps that show the quake's epicenter, turn to Twitter for government bulletins and the latest news, check Facebook for updates from friends and family, and count on help from the Federal Emergency Management Agency (FEMA). One hundred and fifty years ago, however, FEMA and other government agencies did not exist, and information came by telegraph and newspaper. In Documenting Aftermath, Megan Finn explores changing public information infrastructures and how they shaped people's experience of disaster, examining postearthquake information and communication practices in three Northern California earthquakes: the 1868 Hayward Fault earthquake, the 1906 San Francisco earthquake and fire, and the 1989 Loma Prieta earthquake. She then analyzes the institutions, policies, and technologies that shape today's postdisaster information landscape. Finn argues that information orders—complex constellations of institutions, technologies, and practices—influence how we act in, experience, and document events. What Finn terms event epistemologies, constituted both by historical documents and by researchers who study them, explain how information orders facilitate particular possibilities for knowledge. After the 1868 earthquake, the Chamber of Commerce telegraphed reassurances to out-of-state investors while local newspapers ran sensational earthquake narratives; in 1906, families and institutions used innovative techniques for locating people; and in 1989, government institutions and the media developed a symbiotic relationship in information dissemination. Today, government disaster response plans and new media platforms imagine different sources of informational authority yet work together shaping disaster narratives.

In the year 2019, America is torn apart by political assassination, a massive earthquake, and a disastrous race war

Risk and Crisis Management in the Public Sector 3rd edition is a guide for public managers and public management students which combines practical and scholarly knowledge about risk and crisis management together in a single accessible text. In the uncertainty of the twenty-first century, public managers need to know how to identify risks and plan for crises, how to respond to uncertain events and emergencies and how to develop resilience. This book provides this fundamental knowledge with reference to a range of contemporary cases including COVID-19, the war in Ukraine and global cyber-crime crises. It also explores the international, transboundary and multi-agency dimensions of risk and crisis management. This fully updated new edition explores the cutting edge of risk and crisis management scholarship, provides an extensive series of tools and practical guidance for public managers who deal with uncertainty and draws on a wealth of classic and contemporary case studies. This content equips readers and public managers with the knowledge and skills to understand key issues and debates, as well as the capacity to treat risks and better prepare for, respond to and recover from crisis episodes. This book is essential reading for students studying public management, risk management and crisis management as well as professionals in the public management sector.

This book renews the Marxian theory of the general equivalent by highlighting the contradiction between the social functions of money (unit of account, means of circulation) and its private functions (store of value, accumulation). It draws a clear distinction between the monetary base and the commodity base of money and thus avoids the confusion between money and credit on the one hand, and money and capital on the other, which are found in other heterodox monetary theories. It accounts for the new forms of monetary constraints weighing on the banking systems under and inconvertible fiat money standard, the class relationships underlying the interventions of monetary authorities and governments, and presents a definition of the state which emphasises its mode of intervention on the collective and social conditions of capitalisms which are money and labour power. The emphasis on the contradiction between these two types of monetary functions gives a more fundamental account of the conflict between the international role and the national origin of the dollar than the Triffin dilemma, which has been constantly overcome or deferred by the US since 1960. The author explains this evolution by demonstrating how, from the 1950s onwards, the dollar began a process of acquiring relative autonomy from the US economy. By focusing on the role and international functions of the dollar, he offers a fresh look at the 2008 crisis and its consequences for the international monetary system, but also for a possible post-capitalist financial system – which post-revolutionary Russia experimented with in the form of the NEP, and whose contemporary implementation is foreshadowed by the rise of digital central bank currencies. The book thereby provides a necessary update to the tools and concepts inherited from Marx for analysing and understanding money, capital and the state.

In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.