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Date: October 12, 2023
Time: 5:00 pm – 6:00 pm (CT)
Register Here: Click Here
Description: Our very own Jonathan Williams was approached by a nonprofit organization which hoped to prevent the undemocratic consequences of an undercount in the 2020 census, an outcome feared by census observers and watchdog groups.  The ensuing challenges were both quite varied and each impossible to fully answer:

– What would the likely degree of undercount be?
– What groups of people, in which locales, would most likely be undercounted?
– What effect on our democratic system would result from an undercount?
– What groups of people, in which locales, would be most affected by an undercount?
– What messages would most induce people at risk of an undercount to complete their census forms?
– Where should these messages be displayed to have the most outsized impact / reduce the most harm?
– Could we see a real-time effect from our advertising?
– Should we continue to run the ads, or should we switch to a backup set of ads?
Join us to learn how our own MS in Applied Data Science Instructor, Jonathan Williams, tackled this data science problem!


Jonathan Williams, MS

Assistant Clinical Professor