I must confess, while the grad school parts resonated for me, the part that was most engaging was the vein of applied provenance tools.
Having recently left my program (but enjoying research), I've actually been spending a huge amount of time planning out and slowly executing building a better tool chain for data analysis, and one of the really exciting details that has popped out of my design is a very nIce support for incremental computation and computational provenance, while having all of the constituent parts be libraries (rather than needing to mod a run time)
Point being I was really intrigued to see the thinking behind other folks getting drawn into that space
thanks; this might be a presumptuous suggestion, but if you're interested in these topics, please take a look at my dissertation. at the very least, it's useful as a bibliography of work in this field ...
no, not presumptious, I've been trying to figure out where to find a good bibliography of that space!
I'm actually right now figuring out if I can align the stars so I can just support myself while working on this tool chain project of mine, but we really should chat in more detail at some point! (lets one of us get around to emailing the other in the near future)
Having recently left my program (but enjoying research), I've actually been spending a huge amount of time planning out and slowly executing building a better tool chain for data analysis, and one of the really exciting details that has popped out of my design is a very nIce support for incremental computation and computational provenance, while having all of the constituent parts be libraries (rather than needing to mod a run time)
Point being I was really intrigued to see the thinking behind other folks getting drawn into that space