Using an interpretable Machine Learning approach to study the drivers of International Migration

no code implementations • 5 Jun 2020 • Harold Silvère Kiossou, Yannik Schenk, Frédéric Docquier, Vinasetan Ratheil Houndji, Siegfried Nijssen, Pierre Schaus

a traditional model, and 2) using PDP we are able to gain additional insights on the specific effects of the migration drivers.

BIG-bench Machine Learning Feature Importance +1

An LSTM approach to Forecast Migration using Google Trends

1 code implementation • 20 May 2020 • Nicolas Golenvaux, Pablo Gonzalez Alvarez, Harold Silvère Kiossou, Pierre Schaus

Being able to model and forecast international migration as precisely as possible is crucial for policymaking.