RSS feed source: National Science Foundation

Synopsis

The long-range goal of the Research Training Groups in the Mathematical Sciences (RTG) program is to strengthen the nation’s scientific competitiveness by increasing the number of well-prepared U.S. citizens, nationals, and permanent residents who pursue careers in the mathematical sciences, be they in academia, government, or industry. The RTG program supports efforts to improve graduate student research training and professional development through structured groups pursuing collaborative research. In addition to graduate student trainees working with faculty members, RTG supported research teams may, but are not required to, include undergraduate or postdoctoral trainees.

The RTG program invites submissions in all fields within mathematical sciences; especially encouraged in 2024-2025 are those that align and integrate research in mathematics and statistics with emerging areas such as Artificial Intelligence, Biotechnology, Quantum Computing, and Cybersecurity.

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RSS feed source: National Science Foundation

Synopsis

Plasma science is a transdisciplinary field of research where fundamental studies in many disciplines, including plasma physics, plasma chemistry, materials science, and space science, come together to advance knowledge for discovery and technological innovation.  The primary goal of the ECosystem for Leading Innovation in Plasma Science and Engineering (ECLIPSE) program is to identify and capitalize on opportunities for bringing fundamental plasma science investigations to bear on problems of societal and technological need within the scope of science and engineering supported by the participating NSF programs.

The ECLIPSE meta-program has been created to foster an inclusive community of scientists and engineers, an ecosystem spanning multiple NSF Directorates, in the pursuit of translational research at the interface of fundamental plasma science and technological innovation.  The ECLIPSE program builds on the long history of NSF leadership in supporting multi-disciplinary research in plasma science and engineering, and is intended to enhance organizational

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RSS feed source: National Science Foundation

Synopsis

The Established Program to Stimulate Competitive Research (EPSCoR) fulfills the mandate of the National Science Foundation (NSF) to promote scientific progress nationwide. NSF EPSCoR facilitates the establishment of partnerships among academic institutions, government, industry, and non-profit sectors that are designed to promote sustainable improvements in the research infrastructure, Research and Development (R&D) capacity, and R&D competitiveness of EPSCoR-eligible jurisdictions (i.e., states, territories, and commonwealths).

The E-RISE RII program supports the incubation of research teams and products in a scientific topical area that links to research priorities identified in the submitting jurisdiction’s approved Science and Technology (S&T) Plan. E-RISE RII invites innovative proposals that will lead to development and implementation of sustainable broad networks of individuals, institutions, and organizations that will transform the science, technology, engineering and mathematics (STEM) research capacity and competitiveness in a jurisdiction within the chosen field of research. E-RISE RII

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Synopsis

Correctness for Scientific Computing Systems (CS2) is a joint program of the National Science Foundation (NSF) and the Department of Energy (DOE). The program addresses challenges that are both core to DOE’s mission and essential to NSF’s mission of ensuring broad scientific progress. The program’s overarching goal is to elevate correctness as a fundamental requirement for scientific computing tools and tool chains, spanning low-level libraries through complex multi-physics simulations and emerging scientific workflows.

At an elementary level, correctness of a system means that desired behavioral properties will be satisfied during the system’s execution. In the context of scientific computing, correctness can be understood, at both the level of software and hardware, as absence of faulty behaviors such as excessive numerical rounding, floating-point exceptions, data races deadlocks, memory faults, violations of specifications at interfaces of system modules, and so on. The CS2 program puts

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