This project analyzes the demographic transition in the United States, focusing on historical changes in fertility and mortality patterns. Using models like Lee-Carter and Renshaw-Haberman, it explores the impact of socio-economic factors, healthcare advancements, and cultural shifts on population dynamics, forecasting trends for the next 50 years.

This repository contains the code required to perform the data processing and analysis associated with the manuscript submitted to Nature under the name "Maladaptive Genetic Assortment in Humans

👶 Has COVID-19 made us not want to have children? - analysis of birth rate determinants

Exploring the genetic and behavioral factors behind the fertility-longevity trade-off, this project uses survival analysis and polygenic risk scores to uncover the complex interplay of reproductive behavior, socio-demographic influences, and genetic predispositions in shaping human lifespan.

R code to reproduce models testing for cross-national human fertility patterns relative to underlying drivers

Code for the paper "Human capital mediates natural selection in contemporary humans"

This app projects a user-defined Leslie (age-classified) matrix to examine population changes through time.