RSS feed source: National Science Foundation

Synopsis

The intent of this solicitation is to request proposals from organizations who are willing to serve as resource providers within the NSF Advanced Computing Systems and Services (ACSS) program. Resource providers would (1) provide advanced cyberinfrastructure (CI) resources in production operations to support the full range of computation, data-analysis, and AI research across all of science and engineering (S&E), and (2) enable democratized and equitable access to the proposed resources. The current solicitation is intended to complement previous NSF investments in advanced computational infrastructure by provisioning resources, broadly defined in this solicitation to include systems and services, in two categories: 

Category I, Capacity Resources: production computational resources maximizing the capacity provided to support the broad range of computation, data analytics and AI needs in S&E research; and  Category II, Innovative Prototypes/Testbeds: innovative forward-looking capabilities deploying novel technologies, architectures, usage modes, etc., and

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

Award information

The number of MRSEC awards will depend on the quality of the proposals and available funds. An estimate of $27M will be available for the FY 2026 competition for funding 8-10 MRSEC awards.

Estimated number of awards

8 to 10

Proposals may only be submitted by certain types of organizations. Please see solicitation for details. Limit on number of proposals per organization

1

Limit on number of proposals per organization description –

Only one MRSEC preliminary proposal may be submitted by any one organization as the lead institution in this competition. An institution proposing research in several groups should submit a single MRSEC proposal with multiple Interdisciplinary Research Groups (IRGs). A MRSEC proposal must contain a minimum of 2 IRGs and a maximum of 3 IRGs.

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

Synopsis

Wildland fire is a powerful force on the planet, one that is rapidly accelerating in complexity beyond our current understanding. A new approach is needed. This approach requires a proactive and scalable perspective that recognizes the variety and connectedness of components of wildland fire. Coordinated scientific research and education that enables large-scale, cross-cutting breakthroughs to transform our understanding of wildland fire is urgently needed. In an era of rapid change, our society needs forward-looking research built on new frameworks that will realign our relationship with wildland fire.

The Fire Science Innovations through Research and Education (FIRE) program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. All areas of science, engineering, and education supported by the U.S. National Science Foundation are included in this program. Projects developed by a wide array of groups including, for example,

Click this link to continue reading the article on the source website.

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

Click this link to continue reading the article on the source website.