Cavitation is governed by highly nonlinear and extremely fast processes that occur on very small spatial scales. A combination of extreme pressures, temperatures and different time scales and an accessibility in normal laboratory environments makes this phenomenon an ideal target for shifting the border in the synergy of experimental techniques, mathematical modelling and data science approaches. New insights and methods in nonlinear dynamics and data analysis co-evolved with pioneering experimental and numerical work. In particular in Göttingen, high-speed imaging and holography, laser-induced cavitation, high performance numerical simulations and the concept of deterministic chaos were used very early and successfully in cavitation research by pioneers in this field such as Werner Lauterborn.

Recent advances in experimental technology and extensive numerical simulations provide a new challenge due to the abundance and quality of new research data, which requires novel approaches and analysis tools. At the same time, there have been very significant advances in the areas of time series analysis, image processing, machine learning, and data assimilation. The goal of this symposium is therefore to bring together researchers working on basic and applied research in cavitation with experts in data science and other fields where new methods of data processing are currently being developed and applied. This exchange of scientific questions, expertise and results is intended to develop shared visions for a better understanding of this fascinating physical phenomenon and for new applications in medicine, technology and other fields.