Statistics for big data: A perspective

We look at the role of statistics in data science. Two statisticians, two views. Besides the need of developing appropriate concepts, methodology and algorithms, the first one makes a case for validation and carefully designed simulation studies, while the second one writes that a mathematical underpinning of methods is fundamental. Both views converge to the same point: there should be more room for publishing negative findings.