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Data Science For Public Policy

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Data Science For Public Policy

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Author : Jeffrey C. Chen
language : en
Publisher: Springer Nature
Release Date : 2021-09-01

Data Science For Public Policy written by Jeffrey C. Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Mathematics categories.

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.

Public Policy Analytics

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Author : Ken Steif
language : en
Publisher: CRC Press
Release Date : 2021-08-18

Public Policy Analytics written by Ken Steif and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-18 with Business & Economics categories.

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.

Introduction To Data Science For Social And Policy Research

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Author : Jose Manuel Magallanes Reyes
language : en
Publisher: Cambridge University Press
Release Date : 2017-09-21

Introduction To Data Science For Social And Policy Research written by Jose Manuel Magallanes Reyes and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-21 with Mathematics categories.

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

Data Science For Public Policy

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Author : Jeffrey C. Chen
language : en
Publisher:
Release Date : 2021

Data Science For Public Policy written by Jeffrey C. Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

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.

Public Policy Analytics

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Author : Ken Steif
language : en
Publisher: CRC Press
Release Date : 2021-08-18

Data Analysis For Business Economics And Policy

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Author : Gábor Békés
language : en
Publisher: Cambridge University Press
Release Date : 2021-05-06

Data Analysis For Business Economics And Policy written by Gábor Békés and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-06 with Business & Economics categories.

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

Handbook On Science And Public Policy

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Author : Dagmar Simon
language : en
Publisher: Edward Elgar Publishing
Release Date : 2019

Handbook On Science And Public Policy written by Dagmar Simon and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with SCIENCE categories.

This Handbook assembles state-of-the-art insights into the co-evolutionary and precarious relations between science and public policy. Beyond this, it also offers a fresh outlook on emerging challenges for science (including technology and innovation) in changing societies, and related policy requirements, as well as the challenges for public policy in view of science-driven economic, societal, and cultural changes. In short, this book deals with science as a policy-triggered project as well as public policy as a science-driven venture.

Data Science In The Public Interest

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Author : Joshua D. Hawley
language : en
Publisher:
Release Date : 2020

Data Science In The Public Interest written by Joshua D. Hawley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Big data categories.

"This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development. Hawley describes how government is currently using data to inform decisions about the workforce at the state and local levels. He then moves beyond standardized performance metrics designed to serve federal agency requirements and discusses how government can improve data gathering and analysis to provide better, up-to-date information for government decision making"--

Science For Public Policy

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Author : H. Brooks
language : en
Publisher: Elsevier
Release Date : 2013-10-22

Science For Public Policy written by H. Brooks and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Political Science categories.

Since World War II, national and international policy makers have been confronted by a growing number of complex problems the resolution of which hangs, to a significant degree, on scientific knowledge or technical insights. This puts a premium on the quality and clarity of scientific/technical advice they receive. From their vantage points as scientists, policy makers or science advisors from both East and West, the authors of this book examine the issues involved in science for public policy and explore ways to improve the quality and timeliness of the scientific advice available to decision makers. Environmental problems provide much of the focus for the analysis.

Big Data And Social Science

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Author : Ian Foster
language : en
Publisher: CRC Press
Release Date : 2020-11-17

Big Data And Social Science written by Ian Foster and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-17 with Mathematics categories.

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.

Data Science For Public Policy

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