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Developing data-driven materials scientists: the Citrine NextGen undergraduate fellowship

Dr Bryce Meredig | Citrine Informatics

Developing data-driven materials scientists: the Citrine NextGen undergraduate fellowship

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Within a few years, all materials scientists will need to be able to comfortably analyze, mine, and model large-scale data as part of their daily work. Indeed, this emerging need for data-driven workforce development was highlighted as a pillar of the US Materials Genome Initiative's 2014 Strategic Plan. While most materials science curricula do not place a strong emphasis on programming, data structures, statistics, visualization, and machine learning, a few notable programs have emerged to provide such background, including D3EM at Texas A&M University, FLAMEL at Georgia Tech, and SEAS at NC State University.
As undergraduate and graduate curricula adapt to the emerging data-driven paradigm in materials science, Citrine Informatics is investing in data-intensive training for the next generation of materials scientists. In particular, Citrine has launched NextGen, a summer fellowship for undergraduates who want to work at the intersection of data science and materials science. This program provides these undergraduates intensive training in cutting-edge data-driven methods in materials science, and then enables the students to directly apply their new skillset in research projects at their home institutions.