Adaptive multiscale model reduction using generalized multiscale finite element methods Eric Chung Chinese University of Hong Kong Mathematics In this talk, we present a general adaptive multiscale model reduction framework, based on the Generalized Multiscale Finite Element Method. Besides the method's basic outline, we discuss some important ingredients needed for the method's success. We also discuss several applications. The proposed method allows performing local model reduction in the presence of high contrast and no scale separation. The research is partially supported by the Hong Kong RGC General Research Fund (Project: 14317516).