






Thanks to Florence Forbes, who was also celebrating Adrian Raftery’s carreer (so far!), I became aware the day before that there would be a 10k race in down-town Seattle, around Lake Union, Sunday morning, and decided to join, despite the hefty entry fees (although reduced for seniors like me!), and with a rather poor week, training-wise. With the impression that it was an easier race than the week before, being mostly flat… After a very fast, too fast, start, I began to feel belly pains, which forced me to stop twice by convenient bushes and to slow down to standard training times (despite keeping to 20mn at the 5k mark). A counter-performance, when I could have been among the 20 first runners with last week time (39:26). I wonder what is the origin for these belly issues, between having drunk (a small amount of) beer the previous evening, eaten deep-fried oysters the previous lunch (on Seattle harbour), swam in Lake Washington (with otters!!) the previous morning, or simply opting for a cereal breakfast too close to the time of the race… In addition, my time did not get recorded properly and I got listed as non-finisher, missing the podium in my age group. Oh well, not all races can be great and enjoyable!



Demography aims to estimate and forecast population, fertility, mortality and migration. This is important for government policy-making, private sector planning, and research in the health and social sciences, and also critical for climate science and global health. It has traditionally been done using deterministic mathematical methods, but these ignore uncertainty and measurement error. In the past decade, modern statistical methods were developed for this by our group at the University of Washington, and these were recently adopted by the United Nations for their official population forecasts for all countries. Statistical demography is expanding rapidly, and this course will teach theory and practice of methods and models of the field, with a focus on current and potential future research.The topics will be:1. Review of basic mathematical demographic methods.2. Modeling age-specific rates, including model schedules and Lee-Carter method.3. Statistical modeling and projection of fertility, mortality, migration and population.4. Reconstructing population and vital rates from imperfect data.
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