The Future of Provenance: Why Data Acquisition Must Be Code
Data acquisition and preparation are not auxiliary tasks. They are methodological acts. And in the age of AI, they must be executable and auditable.
Personal Blog
Personal articles and reflections on education, data, learning poverty, and development economics. These are locally-hosted copies of articles originally published on LinkedIn.
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2026
2025
From Evidence to Action: Strengthening Africa's Learning Data Ecosystems
Reflections from the ADEA Triennale 2025 in Accra on building fit-for-purpose, comparable learning assessments across Africa.
When the Future Arrives Faster Than Expected: Reflections on AI and Education at CIES 2025
Initial reflections on AI and Education from the Comparative and International Education Society (CIES) 2025 conference in Chicago.
🚀 Strengthening Child and Adolescent Statistics in Africa | #UN56SC
Launch of the Africa Expert Group on Child and Adolescent Statistics at the UN 56th Statistical Commission side event.
A Year of Insights, A Future of Action: UNICEF Data and Analytics 2024
Highlights from UNICEF Data and Analytics Team publications in 2024, covering child mortality, FGM, immunization, and more.
2024
Data that Matters: Achieving Both Precision and Public Trust in Statistics
How Colombia transformed its poverty measurement through the MESEP process, rebuilding public trust in statistics.
Analyzing Intergenerational Mobility in Brazil: Education and Poverty Trends
Analysis of Brazil's progress in education and poverty reduction across generations using age-period-cohort data.
2020
Learning Poverty and COVID-19 School Closures: Initial Simulations
Simulation scenarios showing potential impacts of COVID-19 school closures on learning poverty in low- and middle-income countries.