PS2: Themes: data collection, reduction and analysis. Example of topics of discussion : 1) Exploring noisy data and analyzing large amount of data [ Minimizing the reliance on good training data and biases from training on simulated data] 2) Changes in data taking/content/quality [dealing with experimental uncertainties]
