Aging Between Participation And Simulation

With increasing urgency, decisions about the digitalized future of healthcare and implementations of new assistive technologies are becoming focal points of societal and scientific debates and addresses large audiences. Decisions require a careful weighing of risks and benefits and contextualizing in-depth ethical analysis with robust empirical data. However, up to now, research on social assistive technologies is mostly dispersed over different academic fields and disciplines. A comprehensive overview on discussions regarding values at stake and ethical assessment of recent developments especially in healthcare is largely missing. This publication initiates an interdisciplinary discourse on ethical, legal and social implications of socially assistive technologies in healthcare. Contributions include perspectives from nursing science, social sciences, philosophy, medical ethics, economics and law to present an – to our knowledge – first and comprehensive overview on different aspects of the use and implementation of socially assistive technologies from an ethical perspective. It combines practically relevant insights and examples from current research and development with ethical analysis to uncover exemplary moral tipping points between promotion of participation or well-being and risks and damages to these values. Healthcare professionals involved in implementation of smart technologies as well as scholars from the field of humanities, nursing and medicine, interested in the discussions on ethics and technology in healthcare, will benefit from this new contribution. The publication is part of the international DigitAs conference "Aging between Participation and Simulation – Ethical Dimensions of Socially Assistive Technologies" held at the Institute of Medical Ethics and History of Medicine (Ruhr University Bochum) from 4 February to 8 February 2019. Within this framework, twelve young scholars were invited to discuss their contributions with renowned experts in the field. The Institute of Medical Ethics and History of Medicine is one of the leading institutes in empirically informed ethical analysis in healthcare and medicine and is a member of the European Association of Centres of Medical Ethics (EACME).

An invaluable guide to creating successful simulations for teaching and scholarly research

This book explores the linkages between age-related pension expenditures and the fiscal space needed to fund them, as well as to organize the mix of financing methods with different risk-sharing arrangements. After critically assessing the existing models projecting age-related expenditure in the literature, the book focuses on the case studies of these inter-linkages in four highly-populated East Asian countries, namely China, Indonesia, India, and Japan. Nearly two- fifths of the global population live in these countries. Therefore, how these inter-linkages manifest themselves and the initiatives in these countries for finding fiscal space will have an impact on how the ageing issues are addressed globally. This book does several distinguishing characteristics, including exploration of inter-linkages between age-related expenditure and fiscal space, and application of country-specific methods to explore these linkages, rather than relying standard macroeconomic model. In the process, the studies also bring out the limitations of standardized model used in the literatures. Scholars and policy makers interested in the subject will definitely find the book of valuable use.

There is much confusion in the economics literature on wage determination and the employment-inflation trade-off. Few model builders pay as much careful attention to the definition and meaning of long-run concepts as did Albert Ando. Expanding on years of painstaking work by Ando, the contributors elaborate on the main issues of economic analysis and policies that concerned him.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.