Other
Glass-Box Modeling Working Group
The Glass-Box Modeling Working Group is a small collective interested in glass-box models: those expressed as a linear combination of a parsimonious set of meaningful parameters with quantified uncertainty, prioritizing transparency and honest interpretability alongside predictive performance.
The group stewards Data Diction, where we write about data and the stories they tell more freely than we can in academic journals. Every post is archived with a citable DOI through Rogue Scholar. If you are interested in contributing a post or collaborating on a piece, feel free to leave a comment on an existing post, or get in touch!
StatCTR
The Statistical Consulting Training Repository includes indexed, vetted videos and online resources. I collaborated with Julia Sharp and Emily Griffith to build this resource and have recently integrated it within the American Statistical Association’s Statistical Consulting Section.