I spent lunch talking with Leonidas Moustakas (JPL) about possible cross-cutting work on data analysis and information theory for large scientific projects, in astrophysics and beyond. He imagines building a group at JPL that can make all the projects at the lab better. I followed this conversation by making slides from scratch for my plenary talk tomorrow; I am talking about things I have never really put together into one talk before. I think I left it a bit late! I plan to argue that if we are going to get the most out of our data, we have to respect information theory, which means building and propagating likelihood functions. Unfortunately, there are many places where this might be intractable.