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In Selling the Future, Ryan Moran explains how the life insurance industry in Japan exploited its association with mutuality and community to commodify and govern lives. Covering the years from the start of the industry in 1881 through the end of World War II, Moran describes insurance companies and government officials working together to create a picture of the future as precarious and dangerous. Since it was impossible for individual consumers to deal with every contingency on their own, insurance industry administrators argued that their usage of statistical data enabled them to chart the predictable future for the aggregate. Through insurance, companies and the state thus offered consum...
Making Money examines the interrelation between problem gambling, drug addiction and shopaholism on the one hand and contemporary capitalism on the other. Drawing on a wide range of sources, from neurobiological research to Marx's theory of surplus value and from Andersen's tale of "The Princess and the Pea" to interviews with drug addicts, the author dissects three key components of modern capitalism—money, the body and the commodity—in order to establish that the gambler, the drug addict and the shopaholic are, in the end, both a post-ideological avant-garde and a destitute waste-product of capitalism.
Draws together the theoretical and practical aspects of international cooperation needs and legal responses in critical areas of international concern.
The 17 essays in this volume investigate potentials for democratizing democracies. From finding faith to reclaiming the commons, each essay aims to plant a seed, which carries the promise of democratic potentials. Dealing with topics like planetary change, AI, and plural knowledge systems, the book acts as an inspiration, calling for unorthodox, compassionate, and experimental approaches. It is an invitation to cultivate democratic futures that are as diverse, resilient, and vibrant as the societies they aim to serve.
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Algorithmic training, future markets, and big data are at the forefront of the digitalization revolution in finance, driving innovation and reshaping the industry’s landscape. The integration of algorithms in financial decision-making enables faster, accurate predictions and automated processes, optimizing trading strategies and risk management. As financial markets evolve, future-oriented technologies, including artificial intelligence and machine learning, offer new areas for growth, with algorithms refining their effectiveness in response to real-time data. Big data provides vast amounts of information that can be analyzed to identify trends, enhance customer experiences, and inform inv...