1st place of the Faculty’s Team in the global econometric competition Econometric Game 2023

The Faculty’s Team’s knowledge of machine learning, econometrics and data analysis allowed them to win among 26 teams from the best universities from all over the world!

This year's case concerned an issue related to predicting malnutrition in Africa. The solution by our Team involved training a set of machine learning algorithms, of which #LightGBM and #CatBoost, as well as #NBEATS performed best. Also included was a set of recommendations for policymakers, based on eXplainable AI (#XAI).

Our sincere congratulations! We keep our fingers crossed for your next successes.