What is model calibration? You want to pick parameter values on the basis of external (to your data) evidence, and compare the model’s predictions with the actual data: https://www.r-bloggers.com/an-ad-hoc-method-for-calibrating-uncalibrated-models/
KDnuggets has an interesting article out on building data science teams. Granted, they’re talking about a pretty big team here!: https://www.kdnuggets.com/2019/07/disruptive-data-science-teams-best-practices.html