This book on mobility of health professionals reviews, analyses and summarises published information and data as well as collected interview data from stake holders, including politicians, policy makers, health service managers and migrant health workers. It is based on the research carried out under the umbrella of the EU- funded project "Mobility of Health Professionals" (MoHProf). The partners involved in the MoHProf project gathered evidence from 25 countries around basic questions and knowledge gaps relating to the international migration of health professionals, which involved an analysis of migration flows and evaluation of policies addressing migration. This book provides a comprehensive description and analysis of the mobility streams, the motives and driving forces behind them and the impact on and challenges for health systems and draws conclusions and provides recommendations for future strategic planning, monitoring and the management of mobility of health professionals as well as further research and policy development needs.

Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography's major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields, notably the digital humanities and the study of social justice. The volume concludes with theoretical applications of the geoweb and big data as they pertain to society as a whole, examining the ways in which user-generated data come into the world and are complicit in its unfolding. The contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.

Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography’s major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields, notably the digital humanities and the study of social justice. The volume concludes with theoretical applications of the geoweb and big data as they pertain to society as a whole, examining the ways in which user-generated data come into the world and are complicit in its unfolding. The contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.