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Analysing Inequalities in Germany
This book seeks new perspectives on the growing inequalities that our societies face, putting forward Structured Additive Distributional Regression as a means of statistical analysis that circumvents the common problem of analytical reduction to simple point estimators. This new approach allows the observed discrepancy between the individuals’ realities and the abstract representation of those realities to be explicitly taken into consideration using the arithmetic mean alone. In turn, the method is applied to the question of economic inequality in Germany.
Learning Deep Textwork
Artificial intelligence is considered to be one of the most decisive topics in the 21st century. Deep learning algorithms, which are the basis of many artificial intelligence applications, are of central interest for researchers but also for students that strive to build up academic knowledge and practical competencies in this field. The Deep Learning Seminar at the University of Göttingen follows the central notion of the Humboldtian model of higher education and offers graduate students of applied statistics the opportunity to conduct their own research. The quality of the results motivated us to publish the most promising seminar papers in this volume. For the selected papers a review pr...
Learning deep
Artificial intelligence is considered to be one of the most decisive topics in the 21th century. Deep learning algorithms, which are the basis of artificial intelligence applications, are of central interest for researchers but also for students that strive to build up academic knowledge and practical competences in this field. The Deep Learning Seminar at the University of Göttingen follows the central notion of the Humboldtian model of higher education and offers graduate students of applied statistics the opportunity to conduct their own research. The quality of the results motivated us to publish the most promising seminar papers in this volume. For the selected papers a full peer review process was conducted. The presented contributions cover a broad range of deep learning topics. The articles in the first part of this volume may serve the reader as introduction to deep learning algorithms. Subsequently, research applications allow the reader to gain deep insights into some of the latest developments in the field of artificial intelligence.
The Economics of Women and Work in the Global Economy
This book offers an analysis of the key issues faced by women in the labor market in the 21st century. It identifies the factors that inhibit women's participation in the labor market, studies occupational segregation by gender and analyzes labor transitions, questioning whether the experience for men and women differs. It also explores the effect of entrepreneurship support programs on women's economic and social positions, as well as the public policy implications of women's entry into the labor market. The book investigates working women in Mexico and also offers comparisons with countries such as Spain and developing countries within Eastern Europe. It explores a variety of topics, from ...
Disinformation in Open Online Media
This book constitutes the refereed proceedings of the Third Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 9 full papers were carefully reviewed and selected from 27 submissions. The papers focus on health misinformation, hate speech, misinformation diffusion, news spreading behaviour and mitigation, harm-aware news recommender systems.
DAGStat 2022
Das Buch enthält die Abstracts der eingeladenen bzw. angenommenen Vorträge der 6. Konferenz der Deutschen Arbeitsgemeinschaft Statistik (DAGStat), welche vom 28. März bis 1. April 2022 am Universitätsklinikum Hamburg-Eppendorf (UKE) in Kooperation mit der Universität Hamburg sowie der Helmut-Schmidt-Universität stattfand. Die Konferenz stellte ebenfalls das 68. Biometrische Kolloquium der Deutschen Region der International Biometric Society (IBS-DR) dar, sowie die 45. Jahrestagung der Gesellschaft für Klassifikation (GfKl/Data Science Society). Die Vorträge behandelten dabei ein breites Spektrum sowohl angewandter als auch eher methodischer/theoretischer Themen aus dem Bereich Statistik und Data Science.
Smart Green World?
In this book, Steffen Lange and Tilman Santarius investigate how digitalization influences environmental and social sustainability. The information revolution is currently changing the daily lives of billions of people worldwide. At the same time, the current economic model and consumerist lifestyle needs to be radically transformed if society is to overcome the challenges humanity is facing on a finite planet. Can the much-discussed disruption potential of digitalization be harnessed for this purpose? Smart Green World? provides guiding principles for a sustainable digital society and develops numerous hands-on proposals for how digitalization can be shaped to become a driving force for soc...
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Lexical Nonmanuals in German Sign Language
Editorial board: Carlo Geraci, Rachel McKee, Victoria Nyst, Marianne Rossi Stumpf, Felix Sze, Sandra Wood Over the past decades, the field of sign language linguistics has expanded considerably. Recent research on sign languages includes a wide range of subdomains such as reference grammars, theoretical linguistics, psycho- and neurolinguistics, sociolinguistics, and applied studies on sign languages and Deaf communities. The SLDC series is concerned with the study of sign languages in a comprehensive way, covering various theoretical, experimental, and applied dimensions of sign language research and their relationship to Deaf communities around the world. The series provides a multidiscipl...
