Abstract: This talk is about the construction of higher-order multiscale methods in the framework of the Localized Orthogonal Decomposition approach. We show how to achieve higher-order convergence rates in the elliptic setting without restrictive regularity assumptions on the domain, the coefficient, or the exact solution. Further, we discuss extensions to time-dependent problems where appropriate adaptations are required. Numerical examples are presented to illustrate the theoretical findings.