Dear Applied Statistics Workshop Community, Our next meeting of the semester will be at 12:10 pm (EST) Wednesday, December 1, where Susan Murphy<http://people.seas.harvard.edu/~samurphy/> (Harvard University) presents "Assessing Personalization in Digital Health." Abstract Reinforcement Learning provides an attractive suite of online learning methods for personalizing interventions in a Digital Health. However after an reinforcement learning algorithm has been run in a clinical study, how do we assess whether personalization occurred? We might find users for whom it appears that the algorithm has indeed learned in which contexts the user is more responsive to a particular intervention. But could this have happened completely by chance? We discuss some first approaches to addressing these questions. Where: CGIS Knafel Building, Room K354 (See this link<https://map.harvard.edu/?bld=04471&level=9> for directions). When: Wednesday, December 1 at 12:10 - 1:30 pm. (Bagged lunches available for pick-up at CGIS K354 11:30 - 11:45 am, for the participants who responded to our previous survey. The CGIS cafe on the first floor has been designated as an eating area, and participants may also use outdoor spaces for lunch. Please be present at K354 by 12:10 pm for the presentations.) Zoom link: https://harvard.zoom.us/j/97004196610?pwd=eGFydkF5RDRjUlk5RVcyTjV6OStUQT09 (For the participants who cannot join the session physically.) Schedule of the workshop: https://projects.iq.harvard.edu/applied.stats.workshop-gov3009 Looking forward to seeing you all on Wednesday! Best, Sooahn