The second of two training sessions on “Machine Learning Tools for the Analysis of Migration Trajectories” oorganized by the IUSSP Scientific Panel on Lifetime Migration in collaboration with the Centre for Demographic Studies at the Autonomous University of Barcelona.
This second 2-hour session, held on June 15, 2023, was led by Prof. Danilo Bolano, Research Fellow and Lecturer in Social Demography at Bocconi University Carlo F. Dondena Centre for Research on Social Dynamics. He discussed machine learning approaches (Boruta feature selection algorithm, and Lasso stability selection) to cluster life trajectories in R based on the same dataset on Santiago’s resident biographies. At the end of his 2-hour session, Prof. Bolano stressed how feature selection algorithms might represent a significant improvement to classical model-based regression approaches in social sciences, given their ability to deal with highly collinear sets of variables.
For more information and to access the data:
iussp.org/en/m...
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