Data

Data quality and rigorous measurement is important for any funder using performance-based or results-based aid. Poorly measured or self-reported data are often subject to major biases.

When a tree falls in a forest, does anyone realize that it’s fallen? You might be surprised to learn that until now, the answer to this question has basically been “no.”  

The High Level Panel on the Post-2015 Development Agenda calls for a “data revolution,” a new international initiative to improve the quality and scope of statistics and information available to citizens and policymakers. 

This is a joint post with Yuna Sakuma. The majority of the world’s sick live in middle-income countries (MIC) – mainly Pakistan, India, Nigeria, China and Indonesia (or PINCI), according to new data from the Institute for Health Metrics and Evaluation (IHME) at the University of Washing...