Hardback
Artificial Intelligence and Big Data
Lessons from Evaluations of the Rule of Law and Development
9781803925660 Edward Elgar Publishing
This timely book explores how Artificial Intelligence (AI) and Big Data contribute to the evaluation of the rule of law (covering legal arrangements, empirical legal research, law and technology, and international law), and social and economic development programs in both industrialized and developing countries. Issues of ethics and bias in the use of AI are also addressed and indicators of the growth of knowledge in the field are discussed.
More Information
Critical Acclaim
Contributors
Contents
More Information
This timely book explores how Artificial Intelligence (AI) and Big Data contribute to the evaluation of the rule of law (covering legal arrangements, empirical legal research, law and technology, and international law), and social and economic development programs in both industrialized and developing countries. Issues of ethics and bias in the use of AI are also addressed and indicators of the growth of knowledge in the field are discussed.
Interdisciplinary and international in scope, and bringing together leading academics and practitioners from across the globe, the book explores the applications of AI and big data in Rule of Law and development evaluation, identifies differences in the approaches used in the two fields, and how each could learn from the approaches used in the other, as well as differences in the AI-related issues addressed in industrialized nations compared to those addressed in Africa and Asia.
Artificial Intelligence and Big Data is an essential read for researchers, academics and students working in the fields of Rule of Law and Development, and researchers in institutions working on new applications in AI will all benefit from the book’s practical insights.
Interdisciplinary and international in scope, and bringing together leading academics and practitioners from across the globe, the book explores the applications of AI and big data in Rule of Law and development evaluation, identifies differences in the approaches used in the two fields, and how each could learn from the approaches used in the other, as well as differences in the AI-related issues addressed in industrialized nations compared to those addressed in Africa and Asia.
Artificial Intelligence and Big Data is an essential read for researchers, academics and students working in the fields of Rule of Law and Development, and researchers in institutions working on new applications in AI will all benefit from the book’s practical insights.
Critical Acclaim
‘This highly relevant and fascinating book brings together leading scholars and practitioners to share their insights on the growing influence of Big Data and AI on research and evaluation. Taking real world examples, both the enormous potential and the pitfalls of making use of Big Data and AI are explored. A must-read for researchers interested in better understanding and navigating the “new evaluation frontier”.’
– Peter van der Knaap, IOB Evaluation, the Netherlands
‘This book provides a crisp, clear, and compelling analysis of how artificial intelligence and big data are reshaping both legal research and development evaluation. By blending theoretical insights with practical examples, it serves as a valuable and timely resource for researchers, evaluators, and policymakers seeking to better understand the potential and limitations of these rapidly developing technologies.’
– Markus A. Palenberg, Institute for Development Strategy, Germany
‘The book offers a comprehensive and insightful overview of the potentials and challenges of applying BD/AI within the rule of law and development evaluation. It identifies several critical knowledge gaps, resulting in a well-defined agenda for research to address the challenges and responsibly harness the potentials.’
– Sunil Choenni, Ministry of Justice and Security, the Netherlands
‘Leeuw and Bamberger’s book brings together leading subject matter experts in legal research, the rule of law, (international) development, evaluation methodology and data science. The aim is to explore definitions, approaches and applications of Big Data and Artificial Intelligence. The result is a thought provoking journey into our professional future.’
– Steffen Bohni Nielsen, National Research Centre for the Working Environment, Denmark
– Peter van der Knaap, IOB Evaluation, the Netherlands
‘This book provides a crisp, clear, and compelling analysis of how artificial intelligence and big data are reshaping both legal research and development evaluation. By blending theoretical insights with practical examples, it serves as a valuable and timely resource for researchers, evaluators, and policymakers seeking to better understand the potential and limitations of these rapidly developing technologies.’
– Markus A. Palenberg, Institute for Development Strategy, Germany
‘The book offers a comprehensive and insightful overview of the potentials and challenges of applying BD/AI within the rule of law and development evaluation. It identifies several critical knowledge gaps, resulting in a well-defined agenda for research to address the challenges and responsibly harness the potentials.’
– Sunil Choenni, Ministry of Justice and Security, the Netherlands
‘Leeuw and Bamberger’s book brings together leading subject matter experts in legal research, the rule of law, (international) development, evaluation methodology and data science. The aim is to explore definitions, approaches and applications of Big Data and Artificial Intelligence. The result is a thought provoking journey into our professional future.’
– Steffen Bohni Nielsen, National Research Centre for the Working Environment, Denmark
Contributors
Contents
Contents
Introduction to Artificial Intelligence and Big Data: lessons
from evaluations of the Rule of law and development 1
Michael Bamberger and Frans L. Leeuw
PART 1 EVALUATION IN THE AGE OF ARTIFICIAL
INTELLIGENCE AND BIG DATA
1 The evolving role of Artificial Intelligence and Big Data in
development evaluation: opportunities and challenges 18
Michael Bamberger and Frans L. Leeuw
2 The power of machine learning to extract meaning from big
data in a world that demands data privacy Pete York 40
Pete York
3 Addressing ethics and rights challenges with Big Data and
Artificial Intelligence 59
Mark Irura, Gachara and Linda Raftree
PART 2 ARTIFICIAL INTELLIGENCE AND BIG DATA:
CONTRIBUTIONS FROM EMPIRICAL LEGAL
RESEARCH AND THE RULE OF LAW
4 Legal complexity and evaluating legal phenomena: The
relevance of linking data and legal data analytics 84
Gijs van Dijck
5 Empirical legal research in a digital society: Questions,
approaches, examples, and a case study 106
Antonia Waltermann and Frans L. Leeuw
6 Evaluating the effects of using AI and Big Data in
interventions: examples and the need for a realist agenda 126
Frans L. Leeuw
7 Big Data and the Rule of Law: South African experience 146
Jerusha Govender and Diana Zhou
8 The new frontiers of legal evaluation 172
Bart Custers
PART 3 ARTIFICIAL INTELLIGENCE AND BIG DATA:
CONTRIBUTIONS FROM THE EVALUATION OF
DEVELOPMENT PROGRAMS
9 Applications of spatial science, satellites, and drones in
combating crime and conflict 194
Anupam Anand
10 Applications of digital data innovations and Artificial
Intelligence in the humanitarian sector: lessons from a UN
global pulse pilot project 213
Michael Bamberger and Paula
11 World Bank IEG evaluations and the role of data science:
reflections from recent experiences 234
Harsh, Anuj, Virginia Ziulu, Ariya Hagh, Estelle Raimondo
and Jos Vaessen
12 Lessons from the applications and regulation of health sector
data in the EU 255
Miklós Szócska and Krisztina Davidovics
13 Harnessing administrative data for evaluation: The Indian
experience 276
Kaamila Patherya, Sandeep Ghosh and Swapnil Shekhar
14 Conclusions, growth of knowledge, but also knowledge gaps
and challenges 296
Frans L. Leeuw and Michael Bamberger
Introduction to Artificial Intelligence and Big Data: lessons
from evaluations of the Rule of law and development 1
Michael Bamberger and Frans L. Leeuw
PART 1 EVALUATION IN THE AGE OF ARTIFICIAL
INTELLIGENCE AND BIG DATA
1 The evolving role of Artificial Intelligence and Big Data in
development evaluation: opportunities and challenges 18
Michael Bamberger and Frans L. Leeuw
2 The power of machine learning to extract meaning from big
data in a world that demands data privacy Pete York 40
Pete York
3 Addressing ethics and rights challenges with Big Data and
Artificial Intelligence 59
Mark Irura, Gachara and Linda Raftree
PART 2 ARTIFICIAL INTELLIGENCE AND BIG DATA:
CONTRIBUTIONS FROM EMPIRICAL LEGAL
RESEARCH AND THE RULE OF LAW
4 Legal complexity and evaluating legal phenomena: The
relevance of linking data and legal data analytics 84
Gijs van Dijck
5 Empirical legal research in a digital society: Questions,
approaches, examples, and a case study 106
Antonia Waltermann and Frans L. Leeuw
6 Evaluating the effects of using AI and Big Data in
interventions: examples and the need for a realist agenda 126
Frans L. Leeuw
7 Big Data and the Rule of Law: South African experience 146
Jerusha Govender and Diana Zhou
8 The new frontiers of legal evaluation 172
Bart Custers
PART 3 ARTIFICIAL INTELLIGENCE AND BIG DATA:
CONTRIBUTIONS FROM THE EVALUATION OF
DEVELOPMENT PROGRAMS
9 Applications of spatial science, satellites, and drones in
combating crime and conflict 194
Anupam Anand
10 Applications of digital data innovations and Artificial
Intelligence in the humanitarian sector: lessons from a UN
global pulse pilot project 213
Michael Bamberger and Paula
11 World Bank IEG evaluations and the role of data science:
reflections from recent experiences 234
Harsh, Anuj, Virginia Ziulu, Ariya Hagh, Estelle Raimondo
and Jos Vaessen
12 Lessons from the applications and regulation of health sector
data in the EU 255
Miklós Szócska and Krisztina Davidovics
13 Harnessing administrative data for evaluation: The Indian
experience 276
Kaamila Patherya, Sandeep Ghosh and Swapnil Shekhar
14 Conclusions, growth of knowledge, but also knowledge gaps
and challenges 296
Frans L. Leeuw and Michael Bamberger
