*New* CSDE Computational Demography Working Group (CDWG) Hosts Julie Kim on Estimating Subnational Fertility, Mortality, and Migration Across Social and Spatial Intersections (4/30/25)
Posted: 4/24/2025 ()
On April 30th from 10:00 AM – 11:00 AM PST, CDWG will host Julie Kim for a research talk. Julie Sojin Kim is a demographer and population health researcher currently pursuing a PhD in Health Metrics Sciences at the University of Washington, where she is affiliated with the Institute for Health Metrics and Evaluation (IHME). Her research focuses on small-area estimation using Bayesian statistical methods and the development and application of demographic forecasting techniques.
Title: Estimating Subnational Fertility, Mortality, and Migration Across Social and Spatial Intersections
Traditional demographic estimates, typically reported at the national or first-administrative level, often obscure important subnational variation that reflects socioeconomic and geographic dimensions of inequality. This study aims to develop and apply small-area estimation and Bayesian statistical techniques to produce high-resolution estimates of fertility, mortality, and internal migration across socially and spatially stratified populations. Using two large and diverse countries, the United States and India, as case studies, this work models population dynamics disaggregated by combinations of education, race/ethnicity, gender, residence, and geography. Across all components, the study foregrounds intersectionality and addresses the challenges of estimating demographic indicators for smaller populations. Ultimately, I aim to develop statistical models that can help accurate measurement of uneven distribution of demographic components by place and social position and offer tools to generate evidence that can inform equitable policy and planning in diverse national contexts.
Julie holds a Master of Science degree from Harvard University and a Bachelor of Science degree from the University of Pennsylvania. During her PhD, she was affiliated with the Max Planck Institute for Demographic Research (MPIDR) through the Population and Social Data Science Summer Incubator Program and with the International Institute for Applied Systems Analysis (IIASA) through the Young Scientists Summer Program. Her work aims to generate timely, disaggregated population estimates that inform health and social policy in both national and subnational contexts. For her dissertation, she is estimating fertility, mortality, and migration across policy-relevant subpopulations, including geographic, educational, and racial-ethnic groups in India and the United States.
CDWG will be hybrid in the Spring Quarter of 2025. During this talk, Julie will join us in person at Raitt 223.
Zoom Registration is here.
Room: Raitt 223 – The Demography lab