Some observations from reviewing pre-analysis plans on what they do well, where they remain thin, and why many of the weak spots are predictable rather than accidental.
I am hiring one or two pre-doctoral fellows at the University of Toronto to work on projects related to guaranteed income, evidence-based policymaking, forecasting, and AI for science.
A short summary of findings from a discrete choice experiment showing that local recommendations and contextual information can substantially influence policy choices.