https://uknow.uky.edu/research/nsf-career-award-supports-faster-smarter-use-massive-scientific-data

Sounds like a semi-new vocabulary for what many of us have been doing for years. So where's our $500k check?

Def fits some of my work in 2005-6 at LBL on using the compression indices in massive data sets to identify "interesting" (low-compression ==> high entropy ==> interesting)) subsets/slices/views of massive data sets.  My only published work from that was actually in providing visualization of the compression itself as a diagnostic for the multi-scale effectivity of the compression on various data sets, but I believed that the whole process could have been inverted to actually enhance efficient analysis.  Unfortunately it was the Data Storage folks funding/driving the work, not the Viz or Data Mining folks.

We also touched on deriving CFD familiar-measures like Div/Curl over non-obvious data sets, once again as a meta-field to try to intuit within.   This was part of a DHS-funded "visual analytics" effort, unfortunately managed by a rival lab who managed to undermine most project proposals not lead by their lab...  bah-humbug!  I wasn't directly active in it, but LANL had a 1 year LDRD project funding the normalization of a broad suite of graph-metric algorithms for the same purpose (INCAA?) I don't know of any applications of it beyond the principles on the project re-using their tools and understanding going forward.  Meta-Tools often don't get good traction?

I'm generally a fan of "early career" funding like this even though it naturally fosters jealousy among peers, etc.  My elderDotter was in the running for several of those types of things about 10 years go (wow, time flies!) when there was a pause in the program and her eligibility timed out while the system took that pause.

It still rankles her that she missed that boat.   She also missed the CRISPR boat by an inch or two (coulda been a contender for a position in Doudna Lab just before that unfolded) but for personal life constraints!

 All the counterfactuals we conjure when we reflect and ideate!

   /I coulda been a contendah!/


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