Data Visualization and Democratizing AI in Materials Science

This presentation discusses role of data visualization methods in material science as an effective means for lowering the barriers for interpretation. Examples are given on how one can use such data visualization methods, especially those derived from data dimensionality reduction techniques, to impact our understanding of complex phenomena in materials science. We also discuss how we have adopted such approaches to not only speak to domain experts but also use it as a pedagogical tool in education, a data driven tool for guiding policy makers and as science communication tool to empower public understanding of science