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The vulnerability of our civilization to earthquakes is rapidly growing, rais ing earthquakes to the ranks of major threats faced by humankind. Earth quake prediction is necessary to reduce that threat by undertaking disaster preparedness measures. This is one of the critically urgent problems whose solution requires fundamental research. At the same time, prediction is a ma jor tool of basic science, a source of heuristic constraints and the final test of theories. This volume summarizes the state-of-the-art in earthquake prediction. Its following aspects are considered: - Existing prediction algorithms and the quality of predictions they pro vide. - Application of such predictions for damage reduction, given their current accuracy, so far limited. - Fundamental understanding of the lithosphere gained in earthquake prediction research. - Emerging possibilities for major improvements of earthquake prediction methods. - Potential implications for predicting other disasters, besides earthquakes. Methodologies. At the heart of the research described here is the inte gration of three methodologies: phenomenological analysis of observations; "universal" models of complex systems such as those considered in statistical physics and nonlinear dynamics; and Earth-specific models of tectonic fault networks. In addition, the theory of optimal control is used to link earthquake prediction with earthquake preparedness.
V. I. Keilis-Borok (1921-2013) is the founder of computational seismology and the pioneer of advance predictions of critical events in complex systems, including earthquakes, presidential elections, economic recessions, surges of unemployment, and crime waves. Among his successful advance earthquake predictions are Irpinia earthquake in Italy (1980), Loma Prieta earthquake in California (1989), Chile earthquake of 2010, Japan earthquake of 2011, and many others. V. I. Keilis-Borok developed new paradigms in the study of structure and dynamics of solid Earth. His trademark style involved exceptional organizational talent and insight that enabled him to make seemingly impossible connections between different fields of research and different groups of experts, often breaking the barriers between high theory, numerical modeling, and data analysis. His outstanding achievements are recognized by memberships in many academies and international scientific organizations, including National Academy of Sciences of the USA, Pontifical Academy of Sciences, Academia Europea, Royal Astronomical Society, and others, as well as through awards and honors, and by the respect and devotion he inspired in his friends and colleagues. This book contains his brief biography and reflections by his family, friends, and colleagues-a tribute to this truly remarkable man. Proceeds from this book will support the effort in promoting and publicizing V.I. Keilis-Borok's work.
V. I. Keilis-Borok (1921-2013) is the founder of computational seismology and the pioneer of advance predictions of critical events in complex systems, including earthquakes, presidential elections, economic recessions, surges of unemployment, and crime waves. Among his successful advance earthquake predictions are Irpinia earthquake in Italy (1980), Loma Prieta earthquake in California (1989), Chile earthquake of 2010, Japan earthquake of 2011, and many others. V. I. Keilis-Borok developed new paradigms in the study of structure and dynamics of solid Earth. His trademark style involved exceptional organizational talent and insight that enabled him to make seemingly impossible connections between different fields of research and different groups of experts, often breaking the barriers between high theory, numerical modeling, and data analysis. His outstanding achievements are recognized by memberships in many academies and international scientific organizations, including National Academy of Sciences of the USA, Pontifical Academy of Sciences, Academia Europea, Royal Astronomical Society, and others, as well as through awards and honors, and by the respect and devotion he inspired in his friends and colleagues. This book contains his brief biography and reflections by his family, friends, and colleagues-a tribute to this truly remarkable man. Proceeds from this book will support the effort in promoting and publicizing V.I. Keilis-Borok's work.
Meet Jim Berkland, a California geologist whose forecast of the famous October 17, 1989 World Series Quake that rumbled through the San Francisco Bay Area was right on the money. This is the first book to document a geologist's uncanny ability to foretell earthquakes around the world. This facinating read includes stories of earthquake survivors, a wealth of details about seismic activity in earthquake prone regions around the world.
This book examines the structure of Earth and how earthquakes happen, highlighting how science helps prediction and being prepared.
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
Economic Voting examines how economic conditions influence electoral behavior and democratic outcomes. It offers a comprehensive analysis of the connection between economics and politics, shedding light on how economic factors impact voter decisions. Chapter Overviews: 1: Economic Voting: The role of economic conditions in shaping electoral outcomes. 2: Accountability: Voters holding politicians accountable for economic performance. 3: Incumbent: Economic success and its impact on incumbents’ re-election. 4: Anti-incumbency: Economic dissatisfaction driving electoral turnover. 5: Voter Turnout: Economic conditions influencing voter participation. 6: Protest Vote: Economic discontent sparking protest votes against incumbents. 7: Valence Issue: Economic competence shaping voter perceptions. 8: Clientelism: Economic benefits fostering voter loyalty. 9: Voting Behavior: Broader voting trends driven by economic influences. 10: Political Campaign: Economic messaging shaping voter preferences. 11: Plurality Voting: How plurality voting impacts economic policies. 12: Pork Barrel: Pork-barrel politics' effects on local elections. 13: Regionalism: Regional economic disparities influencing electoral dynamics. 14: Elections in Ghana: Economic issues shaping Ghana's democratic elections. 15: The Keys to the White House: Forecasting U.S. presidential elections using economic indicators. 16: Political Forecasting: Predicting elections through economic forecasting. 17: Federalism in India: The role of federal policies in Indian elections. 18: Value-added Taxation in India: Taxation policies affecting voter behavior. 19: Discursive Dominance: Economic narratives shaping electoral discourse. 20: Nicola McEwen: Contributions to economic voting and political behavior studies. 21: Democratization in Senegal: Economic factors influencing Senegal's political development. Who Should Read This Book? This book is ideal for anyone seeking to understand the influence of economic forces on electoral behavior, particularly students, professionals, and political enthusiasts. "Economic Voting" delivers critical insights into the role of economics in shaping democracy.
For centuries, Californians and the Japanese have known that they were at risk of catastrophic earthquakes, and prepared accordingly. But when a violent 7.0 earthquake rocked Haiti in 2010, hardly anyone knew the island nation was even at risk for disaster, and, tragically, no one was prepared. Over 300,000 people died as buildings that had never been designed to withstand such intense shaking toppled over and crushed their inhabitants. Now, scientists warn that it won't be long before a single, catastrophic quake kills one million people - and that it is going to strike right where we least expect it. In this groundbreaking book, renowned seismologist with the British Geological Survey Roger Musson takes us on an exhilarating journey to explore what scientists and engineers are doing to prepare us for the worst. With riveting tales of the scientists who first cracked the mystery of what causes the ground to violently shake, Musson makes plain the powerful geological forces driving earthquakes and tsunamis, and shows how amazing feats of engineering are making our cities earthquake-proof. Highlighting hotspots around the world from Mexico City to New York this is a compelling scientific adventure into nature at its fiercest.
Beyond the Algorithm: Debunking the Myth of AI" is a thought-provoking book that challenges the common misconceptions surrounding artificial intelligence (AI). In this engaging exploration, the author delves into the intricacies of AI technology, dissecting its capabilities, limitations, and the myths that have emerged around it. The book takes a comprehensive approach to debunking the prevailing mythologies surrounding AI by going beyond surface-level perceptions. It delves into the inner workings of AI algorithms, providing readers with a deeper understanding of how AI systems operate and make decisions. By demystifying the algorithms, the author reveals that AI is not an all-knowing, sentient entity, but rather a sophisticated tool programmed by humans.