| Abstract Scope |
The Materials Genome Initiative (MGI), which established the goal to “double the pace of advanced-materials discovery, innovation, manufacture, and commercialization”, has catalyzed many opportunities to enhance the educational experience of undergraduate and graduate students in the materials science and engineering space. Meeting these objectives will require a workforce equipped with a new set of abilities beyond traditional training methods. To date, few academic institutions integrate robust artificial intelligence (AI), data science, and creativity into a formal materials-focused curriculum. None, to our knowledge, includes evidence-based creativity training to supplement traditional pedagogy and fuel new pursuits and approaches. In this presentation, we will discuss how the University of Missouri has leveraged creativity training and data science, AI, to work towards meeting the above objectives. Through two NSF-funded programs, graduate and undergraduate students leave with a set of unique tools to further enhance their understanding of materials science and engineering. |