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Narrowed Lives
Narrowed Lives is an illuminating portrait of what life is like in Finnish group homes where adults who have profound intellectual and multiple disabilities live their lives.
Economics in Sweden
Economics in Sweden contains the results of one of the most comprehensive attempts to evaluate research in economics ever undertaken. A team of Swedish and international researchers, including Avinash K. Dixit, Seppo Honkapohja and Robert M. Slow, examined the structure of economics in Sweden and its results. They identified postgraduate education as a key area, and their findings will be of particular relevence at a time when many countries are restructuring their graduate education programme.
Stockholm University
None
Users' Needs Report on Play for Children with Disabilities
The needs of children and parents about play when the child has a disability are explored by mean on surveys to disability associations and families were collected during 2016 in 30 countries by members of the EU COST LUDI network Play for children with disability.The users' needs concerning play for children with disabilities are also explored by mean of case studies at a country level, based on literature reviews of avialable reports and emprirical studies in Finland, Lithuania and Sweden.
Modern Problems in Insurance Mathematics
This book is a compilation of 21 papers presented at the International Cramér Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several large research communities in modern insurance mathematics and its applications. The main topics represented in the book are modern risk theory and its applications, stochastic modelling of insurance business, new mathematical problems in life and non-life insurance and related topics in applied and financial mathematics. The book is an original and useful source of inspiration and essential reference for a broad spectrum of theoretical and applied researchers, research students and experts from the insurance business. In this way, Modern Problems in Insurance Mathematics will contribute to the development of research and academy–industry co-operation in the area of insurance mathematics and its applications.
Ceramics Before Farming
A long-overdue advancement in ceramic studies, this volume sheds new light on the adoption and dispersal of pottery by non-agricultural societies of prehistoric Eurasia. Major contributions from Western Europe, Eastern Europe and Asia make this a truly international work that brings together different theories and material for the first time. Researchers and scholars studying the origins and dispersal of pottery, the prehistoric peoples or Eurasia, and flow of ancient technologies will all benefit from this book.
Girls at Risk
Until recently, boys and men provided the template by which problem behaviors in girls and women were measured. With the shift to studying female development and adjustment through female perspectives comes a need for knowledge of trajectories of at-risk girls’ behavior as they mature. Girls at Risk: Swedish Longitudinal Research on Adjustment fills this gap accessibly and compassionately. Its lifespan approach relates the pathologies of adolescence to later outcomes as girls grow up to have relationships, raise families, and take on adult roles in society. Coverage is balanced between internalizing behaviors, traditionally considered to be more common among females, and externalizing ones...
Data Quality and Trust in Big Data
This book constitutes revised selected papers from the International Workshop on Data Quality and Trust in Big Data, QUAT 2018, which was held in conjunction with the International Conference on Web Information Systems Engineering, WISE 2018, in Dubai, UAE, in November 2018. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for Big Data.
