[PDF] The Science Of Public Policy eBook

Author : Tadao Miyakawa
Publisher : Taylor & Francis
Page : 584 pages
File Size : 14,19 MB
Release : 2000-05-25
Category : Political Science
ISBN : 9780415195980

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This set offers a comprehensive collection of papers on this significant discipline. Published in two parts with new introductions to the individual volumes by the editor, this is an invaluable tool for any researcher in this area.

Author : Ken Steif
Publisher : CRC Press
Page : 229 pages
File Size : 31,13 MB
Release : 2021-08-18
Category : Business & Economics
ISBN : 100040157X

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Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

Author : Michael Moran
Publisher : Oxford University Press, USA
Page : 997 pages
File Size : 21,69 MB
Release : 2008-06-12
Category : Political Science
ISBN : 0199548455

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This is part of a ten volume set of reference books offering authoritative and engaging critical overviews of the state of political science. This work explores the business end of politics, where theory meets practice in the pursuit of public good.

Author : Peter John
Publisher : Routledge
Page : 368 pages
File Size : 23,67 MB
Release : 2017-01-06
Category : Political Science
ISBN : 1317680170

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Field experiments -- randomized controlled trials -- have become ever more popular in political science, as well as in other disciplines, such as economics, social policy and development. Policy-makers have also increasingly used randomization to evaluate public policies, designing trials of tax reminders, welfare policies and international aid programs to name just a few of the interventions tested in this way. Field experiments have become successful because they assess causal claims in ways that other methods of evaluation find hard to emulate. Social scientists and evaluators have rediscovered how to design and analyze field experiments, but they have paid much less attention to the challenges of organizing and managing them. Field experiments pose unique challenges and opportunities for the researcher and evaluator which come from working in the field. The research experience can be challenging and at times hard to predict. This book aims to help researchers and evaluators plan and manage their field experiments so they can avoid common pitfalls. It is also intended to open up discussion about the context and backdrop to trials so that these practical aspects of field experiments are better understood. The book sets out ten steps researchers can use to plan their field experiments, then nine threats to watch out for when they implement them. There are cases studies of voting and political participation, elites, welfare and employment, nudging citizens, and developing countries.

Author : Julia I. Lane
Publisher : Stanford University Press
Page : 658 pages
File Size : 20,37 MB
Release : 2011-03-18
Category : Business & Economics
ISBN : 0804781605

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Basic scientific research and technological development have had an enormous impact on innovation, economic growth, and social well-being. Yet science policy debates have long been dominated by advocates for particular scientific fields or missions. In the absence of a deeper understanding of the changing framework in which innovation occurs, policymakers cannot predict how best to make and manage investments to exploit our most promising and important opportunities. Since 2005, a science of science policy has developed rapidly in response to policymakers' increased demands for better tools and the social sciences' capacity to provide them. The Science of Science Policy: A Handbook brings together some of the best and brightest minds working in science policy to explore the foundations of an evidence-based platform for the field. The contributions in this book provide an overview of the current state of the science of science policy from three angles: theoretical, empirical, and policy in practice. They offer perspectives from the broader social science, behavioral science, and policy communities on the fascinating challenges and prospects in this evolving arena. Drawing on domestic and international experiences, the text delivers insights about the critical questions that create a demand for a science of science policy.

Author : Jeffrey C. Chen
Publisher : Springer Nature
Page : 365 pages
File Size : 12,60 MB
Release : 2021-09-01
Category : Mathematics
ISBN : 3030713520

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This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst’s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.

Author : National Research Council
Publisher : National Academies Press
Page : 195 pages
File Size : 26,6 MB
Release : 2004-06-14
Category : Science
ISBN : 030918214X

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This symposium, which was held on March 10-11, 2003, at UNESCO headquarters in Paris, brought together policy experts and managers from the government and academic sectors in both developed and developing countries to (1) describe the role, value, and limits that the public domain and open access to digital data and information have in the context of international research; (2) identify and analyze the various legal, economic, and technological pressures on the public domain in digital data and information, and their potential effects on international research; and (3) review the existing and proposed approaches for preserving and promoting the public domain and open access to scientific and technical data and information on a global basis, with particular attention to the needs of developing countries.