The invited paper by Peña and Galeano is a very inspiring one. The authors analyze how Big Data is changing statisticians' minds by describing new statistical methods in seven areas: the emergence of new sources of information; visualization in high dimensions; multiple testing problems; analysis of heterogeneity; automatic model selection; estimation methods for sparse models; and merging network information with statistical models. They also compare the statistical view with the ones of Computer Science and Machine Learning and put a lot of emphasis in the emergence of the new field of Data Science. Two nice examples of Big Data statistical analysis are also included.When the reader goes through the paper, plenty of interesting ideas appear. The problems dealt with are also very inspiring, suggesting interesting aspects that surely will need deep insights in the future. Five of them are mentioned in the following subsections.