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Synopsis

CREST Center awards provide support to enhance the research capabilities of Minority-serving institutions (MSIs) through the establishment of centers that effectively integrate education and research. CREST Center awards promote the development of new knowledge, enhancements of the research productivity of individual faculty, and an expanded presence of students historically underrepresented in science, technology, engineering, and mathematics (STEM) disciplines.  

Successful CREST Center proposals will demonstrate a clear vision and integration of STEM research and education and will align with the mission of the Division of Equity for Excellence in STEM (EES) with respect to the development of a diverse STEM workforce. CREST Centers are also expected to provide leadership by meaningfully involving the efforts of those faculty, students, and postdoctoral researchers who are traditionally underrepresented in STEM at all levels. Centers are required to use evidence-based and innovative strategies to address salient broadening participation

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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).

Synopsis

The Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics program (MFS-SPEED) is a cross-directorate funding call in response to The National Defense Authorization Act (NDAA) for Fiscal Year (FY) 2021 and the 2022 CHIPS and Science Act. It is supported by the NSF Directorates for Mathematical and Physical Sciences (MPS) and Technology, Innovation, and Partnerships (TIP), and five industry partners: Procter & Gamble, PepsiCo, BASF, Dow, and IBM.

The goal of MFS-SPEED is to support fundamental research enabling the accelerated discovery and ultimate manufacturing of sustainable polymers using state-of-the-art data science, and to enhance development of a cross-disciplinary workforce skilled in this area. In particular, through this solicitation the research community is encouraged to address the discovery and elaboration of new sustainable polymers or sustainable pathways to existing polymers by the creation and use of a data-centric environment where research

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