Instructions to students for this assignment read:
Please find one story of algorithmic and/or Bayesian forecasting being relevant to people's everyday lives in a way they might not expect. (Examples need not be strictly economic, and a sample qualifying story would be the now-infamous one about Target predicting a pregnancy.) Please format your entry as follows, and take care to avoid posts that overlap with what others have already contributed:
Title: [Title goes here]
Link: [URL to an article or website describing what you're contributing, from a reputable source]
Reputability statement: [why you think the link you've provided should be considered reputable.... a sentence or two will do, but please give us something more than "because I hear about this publication a lot"]
Comments: [include a paragraph or two summarizing how an algorithm or Bayesian approach is used, and your thoughts on the consequences]
During Seminar, we connected the student contributions to a diagram we drew and called "Derek's Day," shown here.
Eventually, we cleaned the diagram up a bit... ;-)!