A time-stamped collection of experimental data can support reinforcement-learning environments that use the evidence available at a given point in time to model scientists’ next choices or experimental outcomes.

“another another piece would be as we build up a large basket of experimental data you can think of another thing of”

“basically like time stamping the state of the world so you could say at this date this was our experimental evidence up until that point and you can construct reinforcement learning environments where you say okay given that body of experimental evidence and given you know the choices what what was like the the next choice that the scientists made or what was an outcome of that experiment and this is really interesting too because this allows us to do you”