I've found the tools discussed here very helpful: http://mg.pov.lt/blog/hunting-python-memleaks.html.
I had a similar sort of problem tracking down a severe memory leak in a numpy/scipy heavy code where none of the usual Python memory management tools and diagnostics detected the leak or hinted at its source.
I cant really gove you an answer,but what I can give you is a way to a solution, that is you have to find the anglde that you relate to or peaks your interest. A good paper is one that people get drawn into because it reaches them ln some way.As for me WW11 to me, I think of the holocaust and the effect it had on the survivors, their families and those who stood by and did nothing until it was too late.