Tiny steps of learning

Small continuous incremental improvements in models is what we are aiming for. How to know if a model is improving? If prediction power or simulation accuracy gets better, a peer provides feedback of self improvement and different ways of analyzing the problem provide supporting evidence. Even better if this analysis comes from besearch cycles of different scales and resolution of data and data from more than one source. With so many potential combinations of experiments to conduct beebee overriding goal is to support and guide peers to the combinations that are best for them, personal, community and natural world.