| Topic: | On Searching for Novel Ideas in Statistics (this is not a talk about AI) |
| Date: | 02/03/2026 |
| Time: | 2:30 pm - 3:30 pm |
| Venue: | LT6, Lady Shaw Building, The Chinese University of Hong Kong |
| Category: | Distinguished Lecture |
| Speaker: | Professor Ian McKEAGUE |
| PDF: | 20260302-DL-McKeague.pdf |
| Details: | Abstract: As well as coining the word software, John Tukey famously remarked that the best thing about being a statistician is that you get to play in everyone's backyard. Tukey's point was that, at least in academia, being a statistician gives the freedom to pursue an interest in almost any field, given you have a slight corner on something. A similar point can be made about the worldly and unconventional style of the British writer Geoff Dyer. In this talk, I will argue for what I will call the Tukey-Dyer method: the inspired choice of "a slight corner on something" as the starting point for creative work, even when you are not an expert. I will discuss the surprising role that this method can play in searching for novel ideas in statistics, and how it has helped in starting various projects I have been involved with throughout my career. That is, this is a talk about the background stories we rarely tell each other when doing research in statistics -- what was the seed of the idea and what was the underlying motivation at a personal level? |