ABSTRACT Mechanical metamaterials are engineered materials with unconventional mechanical behavior originating from artificially designed microstructures along with intrinsic material properties. Advanced computational analysis and design play a vital role in identifying the optimal metamaterial architectures, which can subsequently be manufactured and tested. This mini-symposium aims to focus on the recent advances in computational design and identification of metamaterials, including analytical and semi-analytical approaches, multi-scale finite element analysis and molecular dynamics simulations, along with the recent trends in machine learning, artificial intelligence and material informatics. Besides the static and dynamic property modulation of conventional mechanical metamaterials at different length scales, the mini-symposium will also cover the rapidly emerging trends in this field of coupling the mechanics of material behavior and metamaterial architecture with different other multi-physical aspects such as electrical or magnetic fields, and stimuli like pneumatic pressure, temperature, light or chemical reactions to explore the scope of programming on-demand mechanical responses. The interest in this context would include (but not limited to) the evolving trends and challenges concerning the notions of real-time reconfigurability and functionality programming, meta-surfaces, nano-scale metamaterials, artificial intelligence and machine learning in metamaterials, inverse design and topology optimization, multi-physical origami/kirigami, soft and conformal metamaterials, robotic matter, intuitive understanding in metamaterial design, and computational additive manufacturing.