An introduction to robust data analysis and its applications.

This article discusses the importance of robust data analysis in various domains, such as healthcare systems and financial predictions. It highlights the need for techniques that can handle uncertainty, voluminous databases, and high-dimensional samples to yield reliable models. The special issue of the Annals of Operations Research showcases a collection of papers that cover topics ranging from robust optimization to the application of machine learning techniques. These contributions not only advance the theoretical foundations of robust data analysis but also offer practical insights for decision-making processes. The article concludes by emphasizing the enduring significance of robust data analysis in addressing the complexities and uncertainties of the modern world. [Extracted from the article]