Data Science: Opportunities to Transform Chemical Sciences and Engineering Proceedings of a Workshop – in Brief

New technologies and approaches are generating large, diverse data sets, and data science offers the tools that are needed to interrogate, analyze, and manage these data sets. Biology, material sciences,
and other fields have embraced data science tools and used them to gain insights into, for example,
gene–environment interactions, molecular mechanisms of disease, and implications of material characteristics on performance. Chemical sciences
and engineering have also used data science tools to, for example, monitor and control chemical processes, predict activity depending on chemical structures or properties, and inform business and research decisions.

However, data science applications in the chemical sciences and engineering communities have been relatively limited, and many opportunities for
advancing the fields have gone unexplored. Accordingly, the Chemical Sciences Roundtable of the National Academies of Sciences, Engineering, and
Medicine, in collaboration with the National Academies Board on Mathematical Sciences and Analytics, held a workshop to explore opportunities to use data science to transform chemical sciences and
engineering on February 27–28, 2018, in Washington, DC. Stakeholders from academia, government, and industry convened to discuss the challenges and
opportunities to integrate data science into chemical sciences and engineering practice and data science training for the future chemical sciences and engineering workforce. This Proceedings of a Workshop-in Brief summarizes the presentations and discussions that took place during the workshop. The workshop videos and presentations are available online Read Full Article

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