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.
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 datas 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 Benoīt, Dominik Brenner and Mihįly 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
Juliįn 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 Gutiérrez and Sarah Muńoz-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 transparencys 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
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
