1. Bayesian Hierarchical Model for Estimating Age and Sex Patterns of International Migration Using Socioeconomic Covariates • Aysha Basheer , Max Planck Institute for Demographic Research; Arkadiusz Wisniowski, University of Manchester; Maciej Jan Danko, Max Planck Institute for Demographic Research; Emilio Zagheni, Max Planck Institute for Demographic Research.

2. Learning Individual Reproductive Behavior from Aggregate Fertility Rates via Neural Posterior Estimation • Daniel Ciganda , Max Planck Institute for Demographic Research; Ignacio Campón, UDELAR / Max Planck Institute for Demographic Research; Iñaki Permanyer, Center for Demographic Studies; Jakob Macke, Machine Learning in Science, University of Tübingen \& Tübingen AI Center.

3. A Bayesian Coherent Framework for Forecasting Fertility by Age and Education • Felipe Sanchez , London School of Hygiene and Tropical Medicine; Arkadiusz Wisniowski, University of Manchester; José Manuel Aburto, London School of Hygiene & Tropical Medicine.

4. A Bayesian Parametric Model to Estimate and Reconstruct Male Age-Specific Fertility Rates • Benjamin-Samuel Schlueter , Max Planck Institute for Demographic Research; Bruno Schoumaker, UCLouvain; Monica Alexander, University of Toronto.

5. Bayesian Matrix Factor Models for Demographic Analysis across Age and Time • Gregor Zens , IIASA.