RSS feed source: National Science Foundation

Synopsis

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation’s overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers’ abilities to lead the development of new CI, and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven methods for advancing fundamental research, into the Nation’s undergraduate and graduate educational curriculum/instructional materials. Proposals responding to this solicitation may target one or both of the two solicitation goals. For the purpose of this solicitation, advanced CI is broadly defined as

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RSS feed source: National Science Foundation

Synopsis

The Decision, Risk and Management Sciences Program (DRMS) supports scientific research directed at increasing understanding and effectiveness of decision making by individuals, groups, organizations and society. DRMS supports research with solid foundations in theories and methods of the social and behavioral sciences. This social and behavioral science research should advance knowledge, address fundamental scientific and societal issues and have strong broader impacts. DRMS funds disciplinary and interdisciplinary research, doctoral dissertation research improvement grants (DDRIGs) and conferences in the following areas: judgment and decision making; decision analysis and decision aids; risk analysis, perception and communication; societal and public-policy decision making; management science and organizational design. The program supports the use of the RAPID funding mechanism for research that involves ephemeral data, typically tied to disasters or other unanticipated events. Much less frequently, the program also supports highly unusual, proof-of-concept, high-risk projects that are potentially

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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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Synopsis

The Social Psychology Program at NSF supports research and research infrastructure to advance basic knowledge in social psychology. Projects funded by the Social Psychology Program support the NSF mission to promote the progress of science; to advance the national health, prosperity and welfare; and to secure the national defense. Proposals considered by the Social Psychology Program must communicate both the intellectual merit of the science and its broader societal impacts.

Proposed research should carry strong potential for creating transformative advances in the basic understanding of human social behavior. Among the many research topics supported are social cognition, attitudes, social and cultural influence, stereotypes, motivation, decision making, group dynamics, aggression, close relationships, social and affective neuroscience, social psychophysiology, emotions, prosocial behavior, health-related behavior, and personality and individual differences. Proposals that develop new theories or methods for understanding social behavior are highly encouraged. Research samples

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