CBS Graduate Wins Djøf Thesis Prize for Machine Learning Migration Forecasts

Christoffer Nielsen-Friis, a graduate from Copenhagen Business School, has won the Djøf Thesis Prize for his master's thesis focusing on forecasting international migration to Denmark. The winning project introduces a hybrid framework that combines a traditional theory-based gravity model with machine learning techniques.

The thesis investigates how this combination can produce more precise predictions regarding migration flows into the country. By improving the accuracy of these forecasts, the new approach aims to strengthen the foundational data used for national fiscal and economic planning.

This recognition highlights the practical application of advanced analytical methods in public sector forecasting. Accurate migration data is critical for long-term financial stability and government budgeting, making innovative forecasting tools valuable for policymakers and planners.