Computational fluid dynamics has become an essential tool for understanding, predicting, and controlling complex flow phenomena in science and engineering. This minisymposium covers state-of-the-art computational and data-based approaches for flow prediction and flow control, including direct numerical simulation, large-eddy simulation, reduced-order modeling, data analysis, data assimilation, system identification, and control-oriented modeling. Topics of interest include, but are not limited to, drag reduction, enhancement of mixing, heat and mass transfer control, multiphysics flow problems, turbulent flow prediction, coherent-structure analysis, optimal and feedback control, and applications to canonical, environmental, biomedical, and industrial flows. The aim of this minisymposium is to provide a broad forum for researchers working on experimental and computational fluid dynamics, flow control, and data-based analysis to exchange ideas on current progress and future developments in this field. Particular emphasis is placed on discussions that connect physical understanding, predictive modeling, and control-oriented applications. Contributions from students and young researchers are especially welcome, and the minisymposium is intended to encourage active discussion across different methodologies, flow configurations, and application areas.