Handbook on Governance and Data Science

Name: Handbook on Governance and Data Science
Author: Sarah Giest

Specificaties

Gebonden, 414 blz. | Engels

Edward Elgar Publishing | 1e druk, 2025

ISBN13: 9781035301331

Rubricering

Hoofdrubriek : Juridisch

Edward Elgar Publishing 1e druk, 2025 9781035301331

Onderdeel van serie Elgar Handbooks in Public Administration and Management

Verwachte levertijd ongeveer 16 werkdagen

380,20

In winkelwagen

Samenvatting

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.

Specificaties

ISBN13:9781035301331

Taal:Engels

Bindwijze:gebonden

Aantal pagina's:414

Uitgever:Edward Elgar Publishing

Druk:1

Verschijningsdatum:25-3-2025

Hoofdrubriek:Juridisch

Jongbloed:Bestuursrecht [algemeen], ICT recht - Algemeen

Serie:Elgar Handbooks in Public Administration and Management

Inhoudsopgave

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 Benoît, Dominik Brenner and Mihály 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
Julián 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 Muñoz-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