Malnutrition, in all its forms, is one of the most pressing challenges in the world, accounting for more than half of all deaths of children under five years old and costing the global economy nearly $5.5 trillion per year.

This research seeks to better understand and find effective algorithmic approaches to alleviate malnutrition in emerging markets.

This study develops a framework that designs nutrition-targeted, price-discount programmes that can effectively and efficiently improve nutrition.

The research strategy involves combining data-driven methods with a randomised controlled trial.

It is important for policymakers to better understand the food choices of the poor in developing countries and how they react to price changes.

The goal in this research is to achieve better nutritional outcomes through price-discountbased nutrition programmes (e.g. government food subsidies) with the same food budget allocated per household.