Artificial Intelligence and Big Data

Edited by Frans L. Leeuw, Professor Emeritus of Law, Public Policy and Social Science Research, Maastricht University, the Netherlands and Michael Bamberger, Senior Research Fellow, International Initiative for Impact Evaluation (3IE)

‘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”.’

• ContentsIntroduction to Artificial Intelligence and Big Data: lessonsfrom evaluations of the Rule of law and development 1Michael Bamberger and Frans L. LeeuwPART 1 EVALUATION IN THE AGE OF ARTIFICIALINTELLIGENCE AND BIG DATA1 The evolving role of Artificial Intelligence and Big Data indevelopment evaluation: opportunities and challenges 18Michael Bamberger and Frans L. Leeuw2 The power of machine learning to extract meaning from bigdata in a world that demands data privacy Pete York 40Pete York3 Addressing ethics and rights challenges with Big Data andArtificial Intelligence 59Mark Irura, Gachara and Linda RaftreePART 2 ARTIFICIAL INTELLIGENCE AND BIG DATA:CONTRIBUTIONS FROM EMPIRICAL LEGALRESEARCH AND THE RULE OF LAW4 Legal complexity and evaluating legal phenomena: Therelevance of linking data and legal data analytics 84Gijs van Dijck5 Empirical legal research in a digital society: Questions,approaches, examples, and a case study 106Antonia Waltermann and Frans L. Leeuw6 Evaluating the effects of using AI and Big Data ininterventions: examples and the need for a realist agenda 126Frans L. Leeuw7 Big Data and the Rule of Law: South African experience 146Jerusha Govender and Diana Zhou8 The new frontiers of legal evaluation 172Bart CustersPART 3 ARTIFICIAL INTELLIGENCE AND BIG DATA:CONTRIBUTIONS FROM THE EVALUATION OFDEVELOPMENT PROGRAMS9 Applications of spatial science, satellites, and drones incombating crime and conflict 194Anupam Anand10 Applications of digital data innovations and ArtificialIntelligence in the humanitarian sector: lessons from a UN Global Pulse pilot project 213Michael Bamberger and Paula Hidalgo-Sanchis11 World Bank IEG evaluations and the role of data science:reflections from recent experiences 234Harsh, Anuj, Virginia Ziulu, Ariya Hagh, Estelle Raimondoand Jos Vaessen12 Lessons from the applications and regulation of health sectordata in the EU 255Miklós Szócska and Krisztina Davidovics13 Harnessing administrative data for evaluation: The Indianexperience 276Kaamila Patherya, Sandeep Ghosh and Swapnil Shekhar14 Conclusions, growth of knowledge, but also knowledge gapsand challenges 296Frans L. Leeuw and Michael Bamberger