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Common methodological themes and issues are identified which run through quantitative, ethnographic and comparative-historical research. Particular attention is paid to a variety of historical methods.

This volume describes the ideational effort required to design and implement a training-course model for "Experts in proximity violence". The Pilot project design has envisaged a framework where the concepts referring to broad reflections on the topic have be related to the professional skills to be trained. Proximity violence concerns multiple forms of gender-based violence which conceal, in turn, more subtle, intimate and viscous forms of dependence. The course was based on modules and availed itself of a "mixed" methodology, where theoretical lectures were interwoven with experiential workshops. [Publisher's text]

While the future of many teacher preparation programs in vision remains unclear, the national demand for teachers who are trained in blindness and visual impairment continues to soar. Course syllabi from teacher training programs in vision were collected to ascertain what teacher trainers think is important content for preservice teachers. The findings revealed that course content, assignments, and requirements tended to vary among programs.

This book provides a comprehensive overview of how the course, content and outcome of policy making is affected by big data. It scrutinises the notion that big and open data makes policymaking a more rational process, in which policy makers are able to predict, assess and evaluate societal problems. It also examines how policy makers deal with big data, the problems and limitations they face, and how big data shapes policymaking on the ground. The book considers big data from various perspectives, not just the political, but also the technological, legal, institutional and ethical dimensions. The potential of big data use in the public sector is also assessed, as well as the risks and dangers this might pose. Through several extended case studies, it demonstrates the dynamics of big data and public policy. Offering a holistic approach to the study of big data, this book will appeal to students and scholars of public policy, public administration and data science, as well as those interested in governance and politics. Rebecca Moody is Assistant Professor of Public Administration at Erasmus University Rotterdam, the Netherlands. Her research focuses on the relationship between technology and public policy. Victor Bekkers is Professor of Public Administration at Erasmus University Rotterdam, the Netherlands. His research focuses on the role of e-government and big data in shaping public policy and governance. .

Intro -- Contents -- List of Figures -- List of Tables -- Chapter 1: Introduction -- 1.1 Government Steering and the Quest for Transparency in a Changing World -- 1.1.1 Living in a Fragmented but Structured World? -- 1.1.2 Living and Working in a Networked World? -- 1.1.3 Living in the World of Risk? -- 1.1.4 Living in a Liquid World? -- 1.1.5 Living in a Stateless World? -- 1.1.6 Summary -- 1.2 Governance Capacity: Two Images of the Potential of Big Data -- 1.2.1 The Intelligent State -- 1.2.2 Intelligent Society -- 1.3 A Fragmented Picture -- 1.4 Outline of the Book -- Literature -- Chapter 2: Big Data -- 2.1 Big Data and Technology -- 2.1.1 The Technology Debate -- 2.1.1.1 Technological Instrumentalism -- 2.1.1.2 Technological Determinism -- 2.1.1.3 Social Construction of Technology -- 2.1.1.4 Information Ecology -- 2.2 Defining Big Data -- 2.2.1 Data, Information and Knowledge -- 2.2.2 What Makes Data Big? -- 2.3 The Technology Debate and Big Data -- 2.4 Fields of Impact -- 2.4.1 The Technological Field -- 2.4.2 The Economic Field -- 2.4.3 The Occupational Field -- 2.4.4 The Spatial Field -- 2.4.5 The Cultural Field -- 2.4.6 When the Fields Come Together -- 2.5 Summary -- Literature -- Chapter 3: Public Policymaking -- 3.1 Politics, Policies and Information -- 3.1.1 Politics and Policies -- 3.2 Perspectives on the Policymaking Process -- 3.2.1 The Rationalist Approach -- 3.2.2 The Political Approach -- 3.2.3 The Institutional Approach -- 3.2.4 The Cultural Approach -- 3.3 Big Data and the Policy Process -- 3.4 Synthesis -- Literature -- Chapter 4: Big Data and Public Policymaking -- 4.1 Technological Features -- 4.1.1 The Technology -- 4.1.2 The Infrastructure -- 4.1.3 The Data -- 4.2 Institutional Features -- 4.2.1 Legal Factors -- 4.2.2 Organizational Factors -- 4.2.2.1 IT Alignment -- 4.2.2.2 Other Organizational Factors.

Quality interprofessional and interorganizational practices are key to supporting people with disabilities and their families (Gilbert et al., 2010). It is critical to increase efforts to give health and social care professionals a better understanding of the roles and contributions of their colleagues and to encourage sharing between different disciplines. Professionals must also be supported in developing essential clinical knowledge, attitudes, and skills to build the foundations of a person-centred approach focusing on the needs of people with disabilities and their families (Lezzoni & Long-Belil, 2012).