Please contact the symposium organizers with questions.

Materials Data Science is a cross-cutting research area that, in over a decade, has progressed along the data science continuum: from data science to generate insights on materials phenomena; through machine learning to establish predictions along the process-structure-property continuum; to artificial intelligence to take action on materials design/discovery spaces. Materials Data Science has also fostered further integration of computational and experimental approaches to better understand materials phenomena, impacting research in areas such as data-enabled materials discovery and design, quantification of hierarchical material microstructures, multi-scale computational materials simulations for performance and materials degradation as well as data-enabled materials decision-making.

Given its transformative nature, it is not surprising that Materials Data Science has permeated much of materials-related research activity around the world. However, materials education lags behind but presents an important challenge to the community. The full potential of the Materials Genome Initiative can be realized only through the development of human resources that are not only versed in the concepts and frameworks behind data-science methods but also capable of deploying them to discover and design materials capable of transforming our future. This symposium is thus dedicated to explore the different ways in which Materials Data Science is being integrated into the undergraduate, graduate and continuing education material-focused curricula and to provide a discussion of best practices and “lessons learned” for modernizing materials-science curricula and to identify gaps and additional needs/opportunities in the educational spectrum.

Topics will include:

• New Interdisciplinary Curricula and Degree Program
• Teaching Data Science Skills at the Undergraduate and Graduate Levels
• Interdisciplinary Communications
• Materials Design: A Materials-Informatics Perspective
• Materials Science Onotologies
• Data Lifecycle and Data Curation
• Open-source, Open-Access Resources for Research and Education
• Evolution of Employer Expectations for Data Science and Informatics Literacy

Invited Speakers:

• Nigel Browning (University of Liverpool, United Kingdom)
• Chris Wolverton (Northwestern University, USA)
• Elizabeth Holm (Carnegie Mellon University, USA)
• Anubhav Jain (Lawrence Berkeley National Laboratory, USA)
• Kristen Brosnan (GE Research, USA)
• Jennifer Carter (Case Western Reserve University, USA)
• Dane Morgan (University of Wisconsin-Madison, USA)
• Krishna Ranjan (University of Buffalo, USA)
• Laura Regassa (National Science Foundation, USA)
• Josh Tappan (Citrine Informatics, USA)
• Daniela Ushizima (Lawrence Berkeley National Laboratory, USA)
• Yaroslova Yingling (North Carolina State University, USA)

Symposium Organizers