Turbulent flows — the chaotic, swirling motions you see in storm clouds, the wake behind an airplane wing, or the frothy swirls in your morning cup of coffee — span a vast range of interacting scales. Resolving every vortex from meter-wide eddies down to tiny millimeter-scale whirls requires grids with billions of points and supercomputers running for days or weeks. Coarse, low-resolution simulations run quickly but miss critical small-scale physics. The Hack the Turbulence hackathon challenges you to bridge this gap. Develop deep-learning models that take coarse turbulent flow data and reconstruct high-resolution fields, while respecting the underlying physics. We invite students and researchers from mathematics, data science, engineering, and physics to join us for four days of hands-on innovation. Participants will enhance their skills in data analysis and scientific machine learning. They will also connect with researchers from different disciplines and get hands-on experience with KIT's supercomputer cluster. This event is organized by machine learning enthusiasts from KCDS, with support from KIT and SCC.