Public Policy Analytics: Code and Context for Data Science in Government

Public Policy Analytics: Code & Context for Data Science in Government provides a comprehensive introduction to data science and its application in public policy, with a focus on reproducible methods in R. It offers a detailed case study and demonstrates how to develop exploratory indicators, understand spatial processes, create predictive analytics, and convey outputs to non-technical decision-makers through data visualization.

Format: Paperback / softback
Length: 206 pages
Publication date: 29 July 2021
Publisher: Taylor & Francis Ltd

Public Policy Analytics: Code & Context for Data Science in Government is a comprehensive guide that empowers readers to tackle intricate public policy challenges through the power of data and analytics. By employing reproducible methods in the R programming language, the book offers a step-by-step approach to developing exploratory indicators, understanding spatial processes, creating useful predictive analytics, effectively communicating findings to non-technical decision-makers through data visualization, and highlighting the inseparable relationship between data science and planning. This graduate-level introduction to data science is tailored for researchers and data scientists who specialize in the intersection of data analytics and public policy, as well as individuals interested in comprehending the impact of algorithms on the future of government.

The book is organized into eight chapters, each presenting a detailed case study that demonstrates the practical application of data science techniques. These case studies cover a wide range of topics, including urban planning, healthcare, education, and social welfare. Through these real-world examples, readers gain a deep understanding of how data can be used to inform policy decisions, identify patterns, and predict outcomes.

One of the key strengths of the book is its emphasis on reproducibility. The authors provide clear code snippets and explanations that allow readers to replicate the analyses and findings presented in the book. This not only enhances the learning experience but also promotes transparency and accountability in the field of data science.

In addition to its technical aspects, Public Policy Analytics: Code & Context for Data Science in Government also delves into the ethical considerations and social implications of data science in public policy. The authors raise important questions about privacy, bias, and the potential for unintended consequences of using data-driven approaches. They encourage readers to approach data science with a critical eye and to consider the broader societal impact of their work.

Overall, Public Policy Analytics: Code & Context for Data Science in Government is a valuable resource for anyone interested in applying data science to address complex public policy problems. Whether you are a researcher, policymaker, or simply curious about the future of government, this book provides a comprehensive and accessible introduction to the field.

Weight: 494g
Dimension: 177 x 253 x 22 (mm)
ISBN-13: 9780367507619