RSS feed source: National Science Foundation

Synopsis

The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States.  It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and technology (S&T) enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports including Women, Minorities and Persons with Disabilities in Science and Engineering and the National Science Board’s biennial report, Science and Engineering (S&E) Indicators.

The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys as well as promote the education and training of researchers in the use of large-scale nationally representative datasets. NCSES

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RSS feed source: National Science Foundation

Synopsis

Microbes and communities of microbes have remarkable diversity, allowing them to flourish in environments all over the planet and in a variety of substrates and hosts. Given their relative importance to ecosystems around the world, to the economy and to health, researchers have studied microbial systems extensively and have a better understanding of their capabilities and impacts on hosts and the environment. In recent years, researchers have turned to synthetic microbial communities, which are less complex and better defined than natural systems and used them to address fundamental biological questions as well as a range of societal problems.

This solicitation seeks projects that use a model synthetic microbial community to better understand the formation, maintenance or functionality of natural communities and to understand a natural community’s impact on the host, when applicable. This solicitation also seeks projects that create synthetic communities with novel

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