The ‘Human Development and the Data Revolution’ report, edited by Mark Graham, Sanna Ojanperä, and Eduardo López and published by Oxford University Press features LIRNEasia as a significant case study, detailing our establishment, research, challenges, and lessons learned in leveraging big data for public good in the Global South. Through the Chapter 7 “Leveraging Big Data for Public Purposes in the Global South: LIRNEasiaʼs Experiences”, the report highlights how LIRNEasia has pioneered the use of big data across the Asia-Pacific, offering valuable real-world experiences and a critical Global South perspective on data-driven development. LIRNEasia Research fellow Shazna Zuhyle and former team members of LIRNEasia Sriganesh Lokanathan and Thavisha Perera-Gomez have contributed to this report as authors. For a more comprehensive understanding of our work and the impact on public policy, readers are encouraged to read the report, specifically the Chapter 7. 
The ‘Human Development and the Data Revolution’ report, edited by Mark Graham, Sanna Ojanperä, and Eduardo López and published by Oxford University Press features LIRNEasia as a significant case study, detailing our establishment, research, challenges, and lessons learned in leveraging big data for public good in the Global South. Through the Chapter 7 “Leveraging Big Data for Public Purposes in the Global South: LIRNEasiaʼs Experiences”, the report highlights how LIRNEasia has pioneered the use of big data across the Asia-Pacific, offering valuable real-world experiences and a critical Global South perspective on data-driven development. LIRNEasia Research fellow Shazna Zuhyle and former team members of LIRNEasia Sriganesh Lokanathan and Thavisha Perera-Gomez have contributed to this report as authors. For a more comprehensive understanding of our work and the impact on public policy, readers are encouraged to read the report, specifically the Chapter 7.
The work that we have been doing using mobile network big data over the last year, has been challenging on many fronts. I’ve spent some time reflecting on some of the analytical challenges that are faced in the Big Data paradigm and the common fallacies that I sometimes find in the broader discussion I see on the subject. What is below are some of my preliminary thoughts, which I am working up into a paper. Still a work in progress. Comments welcome.