Something that goes against the grain of the contemporary "reproducibility" mindset but worth keeping in mind: that's always the option of reading the paper, ex

Something that goes against the grain of the contemporary "reproducibility" mindset but worth keeping in mind: that's always the option of reading the paper, extracting the core ideas (but not necessarily the exact algorithm) then sitting down and writing your own. To me, that seems like what "replication" should really mean -- not downloading a Docker image and re-running someone else's analysis verbatim. This is far from an original thought: In the good old days physicists repeated each other's experiments, just to be sure. Today they stick to FORTRAN, so that they can share each other's programs, bugs included. -- E. W. Dijkstra, 1975 apparently