Public Policy Analytics

Public Policy Analytics
Author: Ken Steif
Publisher: CRC Press
Total Pages: 229
Release: 2021-08-18
Genre: Business & Economics
ISBN: 100040157X

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.

Data-Driven Policy Impact Evaluation

Data-Driven Policy Impact Evaluation
Author: Nuno Crato
Publisher: Springer
Total Pages: 344
Release: 2018-10-02
Genre: Political Science
ISBN: 3319784617

In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.

Data Science for Public Policy

Data Science for Public Policy
Author: Jeffrey C. Chen
Publisher: Springer Nature
Total Pages: 365
Release: 2021-09-01
Genre: Mathematics
ISBN: 3030713520

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.

Data Analysis for Business, Economics, and Policy

Data Analysis for Business, Economics, and Policy
Author: Gábor Békés
Publisher: Cambridge University Press
Total Pages: 741
Release: 2021-05-06
Genre: Business & Economics
ISBN: 1108483011

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Introduction to Data Science for Social and Policy Research

Introduction to Data Science for Social and Policy Research
Author: Jose Manuel Magallanes Reyes
Publisher: Cambridge University Press
Total Pages: 317
Release: 2017-09-21
Genre: Computers
ISBN: 1107117410

This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.

Data Analysis for Politics and Policy

Data Analysis for Politics and Policy
Author: Edward R. Tufte
Publisher: Prentice Hall
Total Pages: 196
Release: 1974
Genre: Political Science
ISBN:

Introduction to data analysis; Predictions and projections: some issues of research design; Two-variable linear regression; Multiple regression.

EU Personal Data Protection in Policy and Practice

EU Personal Data Protection in Policy and Practice
Author: Bart Custers
Publisher: Springer
Total Pages: 249
Release: 2019-02-28
Genre: Law
ISBN: 9462652821

In this book, the protection of personal data is compared for eight EU member states,namely France, Germany, the United Kingdom, Ireland, Romania, Italy, Sweden andthe Netherlands. The comparison of the countries is focused on government policiesfor the protection of personal data, the applicable laws and regulations, implementationof those laws and regulations, and supervision and enforcement. Although the General Data Protection Regulation (GDPR) harmonizes the protectionof personal data across the EU as of May 2018, its open norms in combination withcultural differences between countries result in differences in the practical implementation,interpretation and enforcement of personal data protection. With its focus on data protection law in practice, this book provides indepth insightsinto how different countries deal with data protection issues. The knowledge and bestpractices from these countries provide highly relevant material for legal professionals,data protection officers, policymakers, data protection authorities and academicsacross Europe. Bart Custers is Associate Professor and Director of Research at the Center for Law andDigital Technologies of the Leiden Law School at Leiden University, the Netherlands.Alan M. Sears, Francien Dechesne, Ilina Georgieva and Tommaso Tani are all affiliated tothat same organization, of which Professor Simone van der Hof is the General Director.

Indigenous Data Sovereignty and Policy

Indigenous Data Sovereignty and Policy
Author: Maggie Walter
Publisher: Routledge
Total Pages: 174
Release: 2020-10-29
Genre: Education
ISBN: 1000214281

This book examines how Indigenous Peoples around the world are demanding greater data sovereignty, and challenging the ways in which governments have historically used Indigenous data to develop policies and programs. In the digital age, governments are increasingly dependent on data and data analytics to inform their policies and decision-making. However, Indigenous Peoples have often been the unwilling targets of policy interventions and have had little say over the collection, use and application of data about them, their lands and cultures. At the heart of Indigenous Peoples’ demands for change are the enduring aspirations of self-determination over their institutions, resources, knowledge and information systems. With contributors from Australia, Aotearoa New Zealand, North and South America and Europe, this book offers a rich account of the potential for Indigenous data sovereignty to support human flourishing and to protect against the ever-growing threats of data-related risks and harms. The Open Access version of this book, available at https://www.taylorfrancis.com/books/e/9780429273957, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license

Competition, Data and Privacy in the Digital Economy

Competition, Data and Privacy in the Digital Economy
Author: Maria Wasastjerna
Publisher: Kluwer Law International B.V.
Total Pages: 416
Release: 2020-07-16
Genre: Law
ISBN: 9403522240

Increasingly, we conduct our lives online, and in doing so, we grant access to our personal information. The crucial feedstock of the world economy thus generated - the commercialization and exploitation of personal data and the intrusion of digital privacy it entails - has built an imposing edifice of market power. As we enter the third decade of the 21st century, this detailed exploration of the interlinkage between competition and data privacy takes a critical look at competition policy to evaluate whether the system in its current form and with the existing approach is capable of tackling the challenges raised by the role of personal data in the shift from an offline to an online economy. Challenging the commonplace assumption that privacy has little or no role and relevance in competition law, the author’s penetrating analysis accomplishes the following and more: provides an in-depth understanding of the intersection of competition and privacy in the data-driven economy; surveys legal policy developments on the role of privacy in competition law; underlines the importance of non-price parameters in competition, such as consumer choice; clearly explains why and how competition law can protect privacy among its policy objectives; and addresses challenges in measuring the intangible harm of digital privacy violation in assessing abuse of market power. Recent case law in Europe and elsewhere, a revealing comparison between relevant European Union (EU) and United States (US) practice, the expanded role of the EU’s Competition Commissioner, and the likely impact of such phenomena as the coronavirus pandemic are all drawn into the book’s remit. In her analysis of the growing privacy dimension in competition policy, the author examines the topic from a broad perspective that includes societal, political, economic, historical and cultural elements. Her insightful multidimensional and value-based review will prove of immeasurable value to practitioners, academics, policymakers and enforcers in its identification of implications for business practice as we go forward.