Clarifying Machine Learning Methods for Population Research

A workshop on November 5-6, 2024 at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany, aims to demystify machine learning (ML) methods for population researchers. The workshop covers an introduction to ML methods, showcases of ML applications, discussions of current developments in ML for population health, fertility and family dynamics, and critical discussions about the limitations of these techniques. Keynote lectures will be delivered by Prof. Ian Lundberg (Cornell University) and Prof. Jennie E. Brand (UCLA). The workshop invites population researchers with interest in ML applications to submit original research abstracts and CVs by May 15, 2024. Limited financial support is available for junior scientists or scientists from low-middle income countries. The workshop is organized by the Max Planck Institute for Demographic Research and The Max Planck – University of Helsinki Center for Social Inequalities in Population Health.