I think about this periodically in the context of likelihood functions. My bet for the biggest problem is that there isn’t prior work for people to cite or data for them to build on, so it seems to me a good thing to do would be to things like:
Find good public datasets to run likelihood functions against.
Run very basic experiments in huge numbers to get strong effect sizes for fundamental findings.
I think the robotic laboratories would be a great fit for 2.
I think about this periodically in the context of likelihood functions. My bet for the biggest problem is that there isn’t prior work for people to cite or data for them to build on, so it seems to me a good thing to do would be to things like:
Find good public datasets to run likelihood functions against.
Run very basic experiments in huge numbers to get strong effect sizes for fundamental findings.
I think the robotic laboratories would be a great fit for 2.