Migration is a complex phenomenon with multi-dimensional factors. With ever-expanding data storage and processing capabilities, new data sources (such as social media, mobile call data records, and satellite imaging) are becoming available to study migration from both qualitative and quantitative perspectives. Data Science for Migration and Mobility addresses the needs of both migration scholars who stand to benefit from the analysis of these new sources but lack the computational tools, as well as data scientists who have practical and theoretical knowledge in dealing with these data sources but have no familiarity with the relevant questions of migration research. It describes the main conceptual frameworks, explains techniques of data collection and processing, provides case studies, discusses the strengths and limitations of each data source, and critically discusses the ethical, legal, and privacy-related issues specific to each data source.

This book constitutes the refereed proceedings of the 4th International Joint Conference an Ambient Intelligence, AmI 2013, held in Dublin, Ireland, in December 2013. The 15 revised full papers, 4 papers from the landscape track, 3 papers from the doctoral colloquium and 6 demo and poster papers were carefully reviewed and selected from numerous submissions and are presented with 6 workshop descriptions. The papers cover a variety of multi-disciplinary topics in computer science, human computer interaction, electrical engineering, industrial design, behavioral sciences, distributed devices, ubiquitous and communication technologies, pervasive computing, intelligent user interfaces and artificial intelligence.

Migration is a complex phenomenon with multi-dimensional factors. With ever-expanding data storage and processing capabilities, new data sources (such as social media, mobile call data records, and satellite imaging) are becoming available to study migration from both qualitative and quantitative perspectives. Data Science for Migration and Mobility addresses the needs of both migration scholars who stand to benefit from the analysis of these new sources but lack the computational tools, as well as data scientists who have practical and theoretical knowledge in dealing with these data sources but have no familiarity with the relevant questions of migration research. It describes the main conceptual frameworks, explains techniques of data collection and processing, provides case studies, discusses the strengths and limitations of each data source, and critically discusses the ethical, legal, and privacy-related issues specific to each data source.

This book constitutes the refereed proceedings of the 4th International Joint Conference an Ambient Intelligence, AmI 2013, held in Dublin, Ireland, in December 2013. The 15 revised full papers, 4 papers from the landscape track, 3 papers from the doctoral colloquium and 6 demo and poster papers were carefully reviewed and selected from numerous submissions and are presented with 6 workshop descriptions. The papers cover a variety of multi-disciplinary topics in computer science, human computer interaction, electrical engineering, industrial design, behavioral sciences, distributed devices, ubiquitous and communication technologies, pervasive computing, intelligent user interfaces and artificial intelligence.