I’m about to head out for JSM in a couple of weeks. The sheer magnitude of the conference means it is pretty hard to figure out what talks I should attend. One approach I’ve used in the past is to identify people who I know give good talks and go to their talks. But that isn’t a very good talk-discovery mechanism. So this year I’m trying a crowd-sourcing experiment.
First, some background on what kind of talks I like.
- I strongly prefer talks where someone is tackling a problem presented by a new kind of data, whether they got that data from a collaborator, they scraped it off the web, or they generated it themselves.
- I am 100% ok if they only used linear regression to analyze the data if it led to interesting exploratory analysis, surprising results, or a cool conclusion.
- Major bonus points if the method is being used to solve a real-world problem.
- I also really like creative and informative plots.
- I prefer pictures to text/equations in general
On the other hand, I really am not a fan of talks where someone developed a method, no matter how cool, then started looking around for a data set to apply it to.
If you know of anyone who is going to give a talk like that can you post it in the comments or tweet it to @simplystats with the hashtag #goodJSMtalks?
Also, if you know anyone who gives posters like this, lemme know so I can drop by.