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Faszination alternative Spiritualität
Die Suche nach spiritueller, innerer Erfüllung und Alternativen zu bisher Bekanntem sowie das Streben nach persönlichem Wachstum und Selbstfindung sind prägende Merkmale westlich-moderner Gesellschaften des 21. Jahrhunderts geworden. Sie führen immer mehr Menschen zu neureligiösen Gruppen, die Elemente und Praktiken aus fremd-religiösen Systemen und anderen Kulturen übernehmen, diese adaptieren und so neue Formen spiritueller Praktiken entwickeln. Sarah Franziska Tran-Huu blickt in ihrer religionspsychologischen Studie am Beispiel der Terra Sagrada auf das Erleben und die Erfahrungen der Einzelnen, um die Wirkmacht und die Faszination dieser religiösen Praktiken zu erklären.
Values in Heritage Management
Bringing together leading conservation scholars and professionals from around the world, this volume offers a timely look at values-based approaches to heritage management. Over the last fifty years, conservation professionals have confronted increasingly complex political, economic, and cultural dynamics. This volume, with contributions by leading international practitioners and scholars, reviews how values-based methods have come to influence conservation, takes stock of emerging approaches to values in heritage practice and policy, identifies common challenges and related spheres of knowledge, and proposes specific areas in which the development of new approaches and future research may help advance the field.
Federated Learning
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
An Aging World
Provides statistical information on the worldwide population of people 65 years old or older.
Global House Price Fluctuations
We examine the properties of house price fluctuations across 18 advanced economies over the past 40 years. We ask two specific questions: First, how synchronized are housing cycles across these countries? Second, what are the main shocks driving movements in global house prices? To address these questions, we first estimate the global components in house prices and various macroeconomic and financial variables. We then evaluate the roles played by a variety of global shocks, including shocks to interest rates, monetary policy, productivity, credit, and uncertainty, in explaining house price fluctuations using a wide range of FAVAR models. We find that house prices are synchronized across countries, and the degree of synchronization has increased over time. Global interest rate shocks tend to have a significant negative effect on global house prices whereas global monetary policy shocks per se do not appear to have a sizeable impact. Interestingly, uncertainty shocks seem to be important in explaining fluctuations in global house prices.
Developing the Curriculum
Previous editions have Peter Oliva as only author.
