Computational fluid dynamics is used across a wide range of fields, including civil and aerospace engineering, where strict regulatory requirements must be met. Traditionally, certification has relied on extensive wind tunnel testing programs, which are both costly and time-consuming. With continuous advances in computing power and model fidelity, simulation accuracy has significantly improved over the past few decades, and the CFD community is now exploring the possibility of complementing and reducing, the need for wind tunnel testing. To achieve these ambitious goals, it is essential to develop robust and reliable uncertainty quantification methods particularly those capable of addressing epistemic uncertainties (i.e. caused by lack of knowledge), such as those arising from turbulence closure models. Furthermore, the issue of uncertainty in wind tunnel testing itself raises an important question: how accurate must a model be? This mini-symposium aims to contribute to the establishment of a certification-by-analysis process. It brings together specialists from both computational and experimental backgrounds, offering diverse perspectives on the topic. Participants will have the opportunity to present and discuss their work, and to initiate or strengthen collaborations in this important field.