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Author: Kathryn Ritcheske
Publisher:
ISBN: 9781634594523
Category : Big data
Languages : en
Pages : 0
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Book Description
Big Data, Big Challenges in Evidence-Based Policy Making is a multi-disciplinary study of how to glean insights from massive data sets to make better public policy decisions. Using a combination of explanatory material, specific examples, and practical suggestions, the book teaches readers how to preserve, use, and publish big data. Each chapter provides real-life examples of how big data can be used in policy making. The book also provides practical insights from archivists and librarians who are on the forefront of preserving data and helping researchers find needed data. To complete the discussion of big data, the book provides a frank and nuanced discussion of privacy risks involved with big data. It also examines the political constraints on how to regulate privacy. In addition, the book offers a comparative review of privacy by examining the different privacy protections in the US and the EU, as well as the delicate system of trading private data between nations. This book can be used to supplement upper level law school courses as well as courses on public health, economics, political science, environmental studies, and information science. The contributors are: Margaret O'Neill Adams, Judith Amsalem, Paula Avila-Guillen, Ana Ayala, Tanya Baytor, Josh Blackman, Linda K. Breggin, Dianne Callan, Christin Cave, Kristofer A. Ekdahl, Francine E. Friedman, Aliza Glasner, Carole Roan Gresenz, James Grimmelmann, Mark D. Johnson, Leslie Johnston, Susan C. Kim, John D. Kraemer, William G. LeFurgy, Jared Lyle, Kathryn Mengerink, Elizabeth Moss, Catherine Powell, Jason S. Roffenbender, Joshua C. Teitelbaum, Matthew C. Thomas, and Zachary Turk.
Author: Kathryn Ritcheske
Publisher:
ISBN: 9781634594523
Category : Big data
Languages : en
Pages : 0
Get Book Here
Book Description
Big Data, Big Challenges in Evidence-Based Policy Making is a multi-disciplinary study of how to glean insights from massive data sets to make better public policy decisions. Using a combination of explanatory material, specific examples, and practical suggestions, the book teaches readers how to preserve, use, and publish big data. Each chapter provides real-life examples of how big data can be used in policy making. The book also provides practical insights from archivists and librarians who are on the forefront of preserving data and helping researchers find needed data. To complete the discussion of big data, the book provides a frank and nuanced discussion of privacy risks involved with big data. It also examines the political constraints on how to regulate privacy. In addition, the book offers a comparative review of privacy by examining the different privacy protections in the US and the EU, as well as the delicate system of trading private data between nations. This book can be used to supplement upper level law school courses as well as courses on public health, economics, political science, environmental studies, and information science. The contributors are: Margaret O'Neill Adams, Judith Amsalem, Paula Avila-Guillen, Ana Ayala, Tanya Baytor, Josh Blackman, Linda K. Breggin, Dianne Callan, Christin Cave, Kristofer A. Ekdahl, Francine E. Friedman, Aliza Glasner, Carole Roan Gresenz, James Grimmelmann, Mark D. Johnson, Leslie Johnston, Susan C. Kim, John D. Kraemer, William G. LeFurgy, Jared Lyle, Kathryn Mengerink, Elizabeth Moss, Catherine Powell, Jason S. Roffenbender, Joshua C. Teitelbaum, Matthew C. Thomas, and Zachary Turk.
Author: Mowafa Househ
Publisher: Springer
ISBN: 3030061094
Category : Medical
Languages : en
Pages : 145
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Book Description
This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.
Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 312
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Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Author: Justin Parkhurst
Publisher: Routledge
ISBN: 131738086X
Category : Medical
Languages : en
Pages : 287
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Book Description
The Open Access version of this book, available at http://www.tandfebooks.com/, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 3.0 license. There has been an enormous increase in interest in the use of evidence for public policymaking, but the vast majority of work on the subject has failed to engage with the political nature of decision making and how this influences the ways in which evidence will be used (or misused) within political areas. This book provides new insights into the nature of political bias with regards to evidence and critically considers what an ‘improved’ use of evidence would look like from a policymaking perspective. Part I describes the great potential for evidence to help achieve social goals, as well as the challenges raised by the political nature of policymaking. It explores the concern of evidence advocates that political interests drive the misuse or manipulation of evidence, as well as counter-concerns of critical policy scholars about how appeals to ‘evidence-based policy’ can depoliticise political debates. Both concerns reflect forms of bias – the first representing technical bias, whereby evidence use violates principles of scientific best practice, and the second representing issue bias in how appeals to evidence can shift political debates to particular questions or marginalise policy-relevant social concerns. Part II then draws on the fields of policy studies and cognitive psychology to understand the origins and mechanisms of both forms of bias in relation to political interests and values. It illustrates how such biases are not only common, but can be much more predictable once we recognise their origins and manifestations in policy arenas. Finally, Part III discusses ways to move forward for those seeking to improve the use of evidence in public policymaking. It explores what constitutes ‘good evidence for policy’, as well as the ‘good use of evidence’ within policy processes, and considers how to build evidence-advisory institutions that embed key principles of both scientific good practice and democratic representation. Taken as a whole, the approach promoted is termed the ‘good governance of evidence’ – a concept that represents the use of rigorous, systematic and technically valid pieces of evidence within decision-making processes that are representative of, and accountable to, populations served.
Author: Stoker, Gerry
Publisher: Policy Press
ISBN: 1447329368
Category : Political Science
Languages : en
Pages : 328
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Book Description
This book gathers an expert group of social scientists to showcase emerging forms of analysis and evaluation for public policy analysis. Each chapter highlights a different method or approach, putting it in context and highlighting its key features before illustrating its application and potential value to policy makers. Aimed at upper-level undergraduates in public policy and social work, it also has much to offer policy makers and practitioners themselves.
Author: Aboul Ella Hassanien
Publisher: Springer
ISBN: 331911056X
Category : Technology & Engineering
Languages : en
Pages : 502
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Book Description
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
Author: Stoker, Gerry
Publisher: Policy Press
ISBN: 1447329376
Category : Political Science
Languages : en
Pages : 328
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Book Description
This book gathers an expert group of social scientists to showcase emerging forms of analysis and evaluation for public policy analysis. Each chapter highlights a different method or approach, putting it in context and highlighting its key features before illustrating its application and potential value to policy makers. Aimed at upper-level undergraduates in public policy and social work, it also has much to offer policy makers and practitioners themselves.
Author: Sarah Ehlers
Publisher: Taylor & Francis
ISBN: 100061476X
Category : History
Languages : en
Pages : 213
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Book Description
This volume is an interdisciplinary attempt to insert a broader, historically informed perspective into current political and academic debates on the issue of evidence and the reliability of scientific knowledge. The tensions between competing paradigms, different bodies of knowledge and the relative hierarchies between them are a crucial element of the historical and contemporary dynamics of scientific knowledge production. The negotiation of evidence is at the heart of this process. Starting from the premise that evidence constitutes a central, but also essentially contested concept in contemporary knowledge-based societies, this volume focuses on how evidence is generated and applied in practice—in other words, on “evidence in action.” The contributions analyze and compare different evidence practices within the field of science and technology, how they interlink with different forms of power, their interaction with and impact on the legal and political domain, and their relationship to other, more heterodox forms of evidence that challenge traditional notions of evidence. In doing so, this volume provides much-needed context and historical background to contemporary debates on the so-called “post-truth” society. Evidence in Action is the perfect resource for all those interested in the relationship between science, technology, and the role of knowledge in society. Chapter 6 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
Author: Michael Howlett
Publisher: Taylor & Francis
ISBN: 1000622894
Category : Political Science
Languages : en
Pages : 827
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Book Description
This handbook provides a unique, systematic and comprehensive overview from leading experts in the field of the policy-making tools deployed at all the phases of the policy process. It covers the fundamentals of both new and established policy tools – from regulation and public enterprises to subsidies and information campaigns, as well as new tools, such as social impact investing, nudges, crowdsourcing, co-production and new digital governance and data analysis techniques. The book consists of nine sections with five corresponding to the major research emphases of studies on policy tools across the stages of the policy cycle (agenda-setting, formulation, decision-making, implementation and evaluation). These are accompanied by overviews of key research and concepts, a discussion of how different kinds of tools can be usefully combined in simple or complex policy portfolios or mixes, and a concluding section on future research directions. Consolidating the state of knowledge and uniting classic foundational material with recent advancements in theory and practice in one location, the handbook is a defining volume in this field. The Routledge Handbook of Policy Tools is essential reading and an authoritative reference for scholars, students, researchers and practitioners of public policy, public administration, and public management, as well as those interested in comparative politics and government, public organizations and the use of policy tools and instruments in individual policy areas from climate change to public health.
Author: Roland Vogl
Publisher: Edward Elgar Publishing
ISBN: 1788972821
Category : Law
Languages : en
Pages : 544
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Book Description
This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.
