New Award for Data Science and Modeling in Green Chemistry

CBriddell
Contributor III
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The rise of computational tools in chemistry is opening up new opportunities to guide the sustainable design of chemical processes. To recognize and encourage these innovations, the ACS Green Chemistry Institute Pharmaceutical Roundtable (GCIPR) has launched a new award program—Data Science and Modeling for Green Chemistry.

The new award will recognize computational innovations that help researchers effectively design implement, and evaluate green processes with reduced process mass intensity, waste, health and safety impact, and other improvements. All algorithms and software tools that leverage machine learning, data science, and other computational modeling techniques are in scope, with a focus on the tool's user-friendliness. Both academic and industrial research groups are welcome to submit nominations.

This award joins the GCIPR’s two existing awards—the Peter J. Dunn Award for Green Chemistry & Engineering Impact in Industry and the CMO Excellence in Green Chemistry award. The CMO Award is now open to CMOs globally, whereas it was previously restricted to Asian CMOs.

The Call for Nominations for all three awards is open through 5 p.m. EST, December 1, 2023. Winners will be announced in early 2024 and will be invited to participate in an award presentation and associated symposium at the ACS Green Chemistry Institute’s Green Chemistry & Engineering Conference next June 3-5 in Atlanta, Georgia. Learn more and apply at: https://www.acsgcipr.org/awards/

 

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