We aim to advance understanding and predictive modeling of wind flow in urban areas through collaborative learning and research. Our research focusses on establishing multi-scale and multi-fidelity modeling frameworks that incorporate uncertainty quantification and data assimilation, and on investigating how these tools can effectively support sustainable urban and building design.