Handbook on Governance and Data Science
Published on 28. February 2025
Book
Hardback
414 pages
978-1-0353-0133-1 (ISBN)
Description
Merging governance studies and data science, this Handbook provides a comprehensive overview of how these fields interact with each other, driving a greater understanding of and guidance for the data-driven transformation of government.
Bringing together contributions from leading scholars and practitioners, the Handbook shows how data science can improve decision-making, enhance services, and increase transparency and accountability in government. The authors cover a broad spectrum of techniques, such as predictive modelling and analyzing public sentiments in real time, which are useful tools for today's public administrators. They also address the ethical challenges, privacy issues, and need for transparency when automating decisions. The Handbook provides in-depth analysis and insights into both the benefits and complexities of employing data science in public settings, creating a dialogue on the responsible use of data science in governance.
The Handbook on Governance and Data Science is a vital resource for students and scholars of technology and data science, regulation and governance, public policy and political science, and public administration. It is also valuable for policymakers working in innovation policy and data science governance and management.
Bringing together contributions from leading scholars and practitioners, the Handbook shows how data science can improve decision-making, enhance services, and increase transparency and accountability in government. The authors cover a broad spectrum of techniques, such as predictive modelling and analyzing public sentiments in real time, which are useful tools for today's public administrators. They also address the ethical challenges, privacy issues, and need for transparency when automating decisions. The Handbook provides in-depth analysis and insights into both the benefits and complexities of employing data science in public settings, creating a dialogue on the responsible use of data science in governance.
The Handbook on Governance and Data Science is a vital resource for students and scholars of technology and data science, regulation and governance, public policy and political science, and public administration. It is also valuable for policymakers working in innovation policy and data science governance and management.
Reviews / Votes
'Big data analysis may not have the answer, and a knowledge of what such an approach can offer (and what it cannot) is important - that alone is justification for the book's existence.' -- Tom Proverbs-Garbett, The Law GazetteMore details
Series
Language
English
Place of publication
Cheltenham
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 244 mm
Width: 169 mm
ISBN-13
978-1-0353-0133-1 (9781035301331)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Edited by Sarah Giest, Professor of Public Policy, Innovation, and Sustainability, Bram Klievink, Professor of Public Policy and Digitization, Alex Ingrams, Assistant Professor of Public Administration and Matthew M. Young, Assistant Professor of Public Administration, Institute of Public Administration, Leiden University, the Netherlands
Content
Contents
1 Introduction to the Handbook on Governance and Data Science 1
Sarah Giest, Bram Klievink, Alex Ingrams and Matthew M. Young
PART I DATA APPLICATIONS FOR POLICY CHALLENGES
2 Does it hold up? Testing big data's promise of novel information on labour market policymaking 14
Simon Vydra
3 Data science meets political economy: applications to legislative favouritism around the world 41
Cyril Benoit, Dominik Brenner and Mihaly Fazekas
4 Data science from a national statistics institute perspective: limits and challenges illustrated by historical events 59
Koen van 't Boveneind, Darius Keijdener, Pedro Lemlijn, Jolien Oomens and Eveline Vandewal
5 Soft OR, Big Data: use and limitations in policy-making 75
Michael Howlett, Leong Ching and Tay Swee Kiat
6 Data and digitalization in energy efficiency policy design: the case of Singapore 93
Ishani Mukherjee and Diandrea Ho
7 Examining the cost of living crisis: insights from e-petitions and constituency groupings 109
Stephen D. Clark and Nik Lomax
8 Platform-based coordination for cross-agency collaboration in public service production 124
Yiwei Gong and Marijn Janssen
9 Implementing social media monitoring in the public sector: a four-model approach 141
Julian Villodre
10 Towards a framework for data science governance in the post-pandemic context: an analysis of three initiatives 158
Rodrigo Sandoval-Almazan and David Valle-Cruz
PART II AI GOVERNANCE AND INNOVATION
11 Key challenges for the participatory governance of AI in public administration 179
Janis Wong, Deborah Morgan, Vincent J. Straub, Youmna Hashem and Jonathan Bright
12 Artificial intelligence and governance challenges in Latin America - the game between decolonization and dependence 198
Fernando Filgueiras
13 Proactive algorithmic transparency in government: the case of the Colombian repositories of public algorithms 222
Juan David Gutierrez and Sarah Munoz-Cadena
14 Decoding the privacy puzzle: a study on AI deployment in public governance 239
Jose Ramon Saura, Belem Barbosa and Sudhir Rana
PART III RESPONSIBLE AND PARTICIPATORY DATA USE BY GOVERNMENT
15 Intersecting digital governance and data science: preparing for communication to strengthen citizen-government partnerships 265
Jae-Seong Lee
16 Delivering on transparency's good governance promise? The state of government data against political corruption 282
Kristen Rose and Joseph Foti
17 System update: emerging transparency and oversight functions for responsible data use 298
Joseph Foti, Tara Davis and Divij Joshi
18 Classificatory versus transformative data regimes: towards a positive right to data production and analysis 316
Willie Gin
19 The Janus face of personal data agency in public and private use applications 332
Dale Mineshima-Lowe, Roxana Bratu and Sarah Giest
20 A social capital perspective to building sustainable data centers for science 346
Federica Fusi and Eric W. Welch
21 Public sector innovation labs as an approach to data-driven innovation 365
Francesco Leoni
22 Conclusion, research agenda, and policy recommendations for governance and data science 379
Bram Klievink and Sarah Giest
Index 385
1 Introduction to the Handbook on Governance and Data Science 1
Sarah Giest, Bram Klievink, Alex Ingrams and Matthew M. Young
PART I DATA APPLICATIONS FOR POLICY CHALLENGES
2 Does it hold up? Testing big data's promise of novel information on labour market policymaking 14
Simon Vydra
3 Data science meets political economy: applications to legislative favouritism around the world 41
Cyril Benoit, Dominik Brenner and Mihaly Fazekas
4 Data science from a national statistics institute perspective: limits and challenges illustrated by historical events 59
Koen van 't Boveneind, Darius Keijdener, Pedro Lemlijn, Jolien Oomens and Eveline Vandewal
5 Soft OR, Big Data: use and limitations in policy-making 75
Michael Howlett, Leong Ching and Tay Swee Kiat
6 Data and digitalization in energy efficiency policy design: the case of Singapore 93
Ishani Mukherjee and Diandrea Ho
7 Examining the cost of living crisis: insights from e-petitions and constituency groupings 109
Stephen D. Clark and Nik Lomax
8 Platform-based coordination for cross-agency collaboration in public service production 124
Yiwei Gong and Marijn Janssen
9 Implementing social media monitoring in the public sector: a four-model approach 141
Julian Villodre
10 Towards a framework for data science governance in the post-pandemic context: an analysis of three initiatives 158
Rodrigo Sandoval-Almazan and David Valle-Cruz
PART II AI GOVERNANCE AND INNOVATION
11 Key challenges for the participatory governance of AI in public administration 179
Janis Wong, Deborah Morgan, Vincent J. Straub, Youmna Hashem and Jonathan Bright
12 Artificial intelligence and governance challenges in Latin America - the game between decolonization and dependence 198
Fernando Filgueiras
13 Proactive algorithmic transparency in government: the case of the Colombian repositories of public algorithms 222
Juan David Gutierrez and Sarah Munoz-Cadena
14 Decoding the privacy puzzle: a study on AI deployment in public governance 239
Jose Ramon Saura, Belem Barbosa and Sudhir Rana
PART III RESPONSIBLE AND PARTICIPATORY DATA USE BY GOVERNMENT
15 Intersecting digital governance and data science: preparing for communication to strengthen citizen-government partnerships 265
Jae-Seong Lee
16 Delivering on transparency's good governance promise? The state of government data against political corruption 282
Kristen Rose and Joseph Foti
17 System update: emerging transparency and oversight functions for responsible data use 298
Joseph Foti, Tara Davis and Divij Joshi
18 Classificatory versus transformative data regimes: towards a positive right to data production and analysis 316
Willie Gin
19 The Janus face of personal data agency in public and private use applications 332
Dale Mineshima-Lowe, Roxana Bratu and Sarah Giest
20 A social capital perspective to building sustainable data centers for science 346
Federica Fusi and Eric W. Welch
21 Public sector innovation labs as an approach to data-driven innovation 365
Francesco Leoni
22 Conclusion, research agenda, and policy recommendations for governance and data science 379
Bram Klievink and Sarah Giest
Index 385