Unlocking the Power of Machine Learning for Population Research: A Clarifying Workshop
Join us at the Max Planck Institute for Demographic Research in Rostock, Germany, on November 5-6, 2024, for a two-day workshop aimed at demystifying machine learning (ML) techniques for population researchers. With the rapid advancement of computational power and statistical algorithms, ML methods have become essential tools for predicting population dynamics and improving causal inference tasks.
Our workshop will provide an introduction to ML methods, showcase applications to answer causal questions, discuss current developments in ML for population health, fertility, and family dynamics, and foster critical discussions about the limitations of these techniques.
Keynote speeches will be delivered by Prof. Ian Lundberg from Cornell University and Prof. Jennie E. Brand from UCLA, and we welcome contributions from various fields of population sciences, including population health, formal and social demography, public health, and economics.
Interested population researchers are invited to submit original research abstracts (max 500 words) and a CV (max. one page) to MLworkshop at demogr.mpg.de by April 30, 2024. Decisions on the selection will be communicated before May 15th. The workshop has no fees, but limited financial support is available for junior scientists or scientists from low-middle income countries. Please indicate the request for such funding at the time of abstract submission.
Organized by the Max Planck Institute for Demographic Research and The Max Planck – University of Helsinki Center for Social Inequalities in Population Health.