This five-year, $999,809 National Science Foundation Project Grant under the Engineering (47.041) program will establish a novel artificial intelligence-enabled framework called ALGO for the data-driven design of programmable material systems. Northwestern University will develop new statistical and machine learning techniques to understand complex material-architecture-stimuli interactions and derive transferable design rules for programmable material systems focused on shape transformation, wave guiding, and surface engineering applications. The University of Illinois at Chicago will collaborate to characterize manufacturability of additive manufacturing processes, experimentally test sample programmable material systems, fabricate testbeds using these processes, and involve undergraduate and minority students in interdisciplinary research. This award aims to advance the United States' competitiveness in developing innovative material systems through intelligent design exploiting heterogeneity and programmability.