The International Conference on Robust Statistics (ICORS) aimed to bring together researchers and practitioners interested in the interplay of robust statistics, data analysis, computer science, and visualization, and to build bridges between these fields for interdisciplinary research. This includes theoretical and applied statisticians as well as data analysts from other fields, and leading experts as well as junior researchers and graduate students. This conference shall create a forum to discuss recent progress and emerging ideas in these different disciplines and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.

The conference welcomes contributions to applied statistics as well as theoretical statistics, in particular new problems related to robust statistics, machine learning and statistical learning, outlier detection, visualization and verbalization of data, data analysis and other important themes. Given the recent revoluton in AI and on large language models, ICORS 2025 encourage contributions on the interplay between robustness issues in these new fields.