Big Data and Public Policy
Springer International Publishing (Verlag)
978-3-031-16033-2 (ISBN)
Rebecca Moody is Assistant Professor of Public Administration at Erasmus University Rotterdam, the Netherlands. Her research focuses on the relationship between technology and public policy. Victor Bekkers is Professor of Public Administration at Erasmus University Rotterdam, the Netherlands. His research focuses on the role of e-government and big data in shaping public policy and governance.
Chapter 1: Introduction.- Chapter 2: Big Data.- Chapter 3: Public Policy Making.- Chapter 4: Big Data and Public Policy Making.- Chapter 5: Research Strategy.- Chapter 6: DARE in Rotterdam.- Chapter 7: Food Security in Denmark.- Chapter 8: Noise Pollution in Dublin.- Chapter 9: Analysis.- Chapter 10: Discussion.
"Big data and public policy: course, content, and outcome ... is an excellent book for those who are involved in policy-making processes and looking to learn how big data and public policy are strengthened together. The book is well structured and easy to follow, with plenty of case studies to help readers understand the concepts and put them into practice. ... big data in public policy has the potential to improve decision-making, increase efficiency, and promote better outcomes for citizens." (Mihailescu Marius Iulian, Computing Reviews, May 25, 2023)
“Big data and public policy: course, content, and outcome … is an excellent book for those who are involved in policy-making processes and looking to learn how big data and public policy are strengthened together. The book is well structured and easy to follow, with plenty of case studies to help readers understand the concepts and put them into practice. … big data in public policy has the potential to improve decision-making, increase efficiency, and promote better outcomes for citizens.” (Mihailescu Marius Iulian, Computing Reviews, May 25, 2023)
Erscheinungsdatum | 31.01.2024 |
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Zusatzinfo | IX, 198 p. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 148 x 210 mm |
Gewicht | 278 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Algorithmen | |
Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie | |
Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung | |
Schlagworte | Data Science • Political Science • public administration • Public Policy • Sociology |
ISBN-10 | 3-031-16033-9 / 3031160339 |
ISBN-13 | 978-3-031-16033-2 / 9783031160332 |
Zustand | Neuware |
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