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Knowledge Base

A curated collection of academic research and technical resources that inform our approach to program evaluation, machine learning, and data engineering.

Program Evaluation / Causal Inference

  • Causal Inference for The Brave and True
  • Airports, Air Pollution, and Contemporaneous Health
  • Under the Weather: Health, Schooling and Economic Consequences of Early-Life Rainfall
  • J-PAL Research Resources

Machine Learning & Prediction

  • Hastie, Tibshirani & Friedman – An Introduction to Statistical Learning
  • Ribeiro et al. (2016) – “Why Should I Trust You?” Explaining ML Predictions
  • Interpretable Machine Learning (Molnar)

Data Engineering & Infrastructure

  • Fowler – From Data Monolith to Data Mesh
  • Kleppmann – Designing Data-Intensive Applications
  • The Data Lakehouse Architecture