The Seventh Annual Workshop on Formal Demography will be held on May 24-28, 2021, virtually. Funded by NICHD R25HD083136 and co-sponsored by the Center on the Economics and Demography of Aging (CEDA) and the Berkeley Population Center, this annual workshop diverged from previous workshops. The theme of this course will be COVID-19 and Formal Demography.
Primary Instructors: Joshua Goldstein (PI), Dennis Feehan (Assistant Professor) and Ayesha Mahmud (Assistant Professor). All three are in the Department of Demography.
Curriculum: We will be using the fundamental tools of formal demography such as stable population theory and the mathematics of mortality to understand the implications of the Covid-19 pandemic.
Day 1 of the workshop will cover matrix population models and stable population theory.
Day 2 of the workshop will cover mortality modeling, focusing on the continuous representation of the liftable with hazards.
Day 3 of the workshop will feature applications and extensions of the formal models in Days 1 and 2, applying them to Covid-19 topics such as (1) the impact of age structure on Covid-19 outcomes, (2) measures of mortality impact beyond life expectancy, (2) optimal vaccination policy, (3) estimating R0 from contact matrices, and (4) the recovery of fertility and marriage after a temporary shock.
Days 4 and 5 will feature guest speakers presenting new research on Covid-19 using formal demographic methods.
Participants will also get the chance to work on team projects over the course of the week and present their findings on the last day.
Target population: The workshops are aimed both at those with prior demographic training and those who have not studied demography but already have quantitative skills in another area. Advanced graduate students, post-doctoral fellows, and early career researchers and faculty are welcome to apply. We are interested in increasing the diversity of the field and encourage applicants from all backgrounds.
•For any questions, please write to Dr. Leora Lawton, Executive Director, Berkeley Population Center, email@example.com.