The project aims to extend the theory of hyperuniformity from point processes to random geometric graphs and tessellations. It will identify natural graph-based observables, study when suppressed large-scale fluctuations are inherited from the underlying point pattern, and develop corresponding spectral descriptors. The project will also investigate how this hidden order influences connectivity, edge geometry, optimal transport, and the spectra of Laplacian-type operators.