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Expeditions in Training, Research, and Education for Mathematics and Statistics through Quantitative Explorations of Data

U.S. National Science Foundation · Opportunity 12-606

Who can apply

• Others

*Organization Limit: Proposals may only be submitted by the following: -Universities and Colleges -- Universities and four-year colleges accredited in and having a campus located in the US, acting on behalf of their faculty members. Two-year colleges or community colleges may serve as non-leadorganizationsin collaborative proposals or receive support via subcontracts.

About this opportunity

The long-range goal of EXTREEMS-QED is to support efforts to educate the next generation of mathematics and statistics undergraduate students to confront new challenges in computational and data-enabled science and engineering (CDS&E). EXTREEMS-QED projects must enhance the knowledge and skills of most, if not all, the institution's mathematics and statistics majors through training that incorporates computational tools for analysis of large data sets and for modeling and simulation of complex systems. Funded activities are expected to provide opportunities for undergraduate research and hands-on experiences centered on CDS&E; result in significant changes to the undergraduate mathematics and statistics curriculum; have broad institutional support and department-wide commitment that encourage collaborations within and across disciplines; and include professional development activities for faculty or for K-12 teachers.EXTREEMS-QED is a joint effort of the Directorate of Mathematical and Physical Sciences and the Office of Cyberinfrastructure at the National Science Foundation. The Office of Cyberinfrastructure is interested in supporting educational activities that incorporate cyberinfrastructure considerations at a fundamental level, and in efforts that leverage and advance major NSF investments in cyberinfrastructure. Cyberinfrastructure consists of advanced computing systems, data storage systems, instruments and data repositories, visualization environments, and people, all linked together by software and high performance networks to improve research productivity and enable breakthroughs not otherwise possible. Examples of NSF investments in cyberinfrastructure can be found at [http://www.nsf.gov/od/oci/cif21/cybinf_list.jsp].

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