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The National Science Foundation (NSF) Convergence Accelerator program addresses national-scale societal challenges through use-inspired convergence research. Using a convergence approach and innovation processes like human-centered design, user discovery, and team science and integration of multidisciplinary research, the Convergence Accelerator program...
Supports participation in an Ideas Lab — an intense, facilitated workshop — to stimulate the translation of novel approaches to protein design and enable new applications of importance to the U.S. bioeconomy.
Supports research to advance theory on the design and management of organizations; the behavior and well-being of individuals within organizations; and the relationships between people, organizations and systems.
Supports NSF-funded researchers from all disciplines of science and engineering to perform translational research and technology development, cultivate partnerships and accelerate the transition of their discoveries into innovative technology.
The biodiversity found in nature is essential for healthy ecosystems and human well-being. However, the disruption and decline of Earth’s biodiversity is currently occurring at an unprecedented rate. The resulting shifts in biodiversity dynamics — including changes in the scope...
Supports interdisciplinary, evidence-based traineeships that advance ways for graduate students in research-based master's and doctoral degree programs to pursue a range of STEM careers.
Supports research focused on advancing knowledge and theory on the social science of scientific discovery; theories, models and data improving our understanding of scientific communication; and how science advances evidence-based policymaking and public value.
Supports the development of theories, models, analytical tools, data and metrics that can inform the science of science, science policy, public outcomes and the advancement of the scientific enterprise, with a focus on the biomedical sciences.
Supports fundamental changes to the training of undergraduate engineering students that equip them with the technical and professional skills needed to solve complex societal problems.
The purpose of the Focused Research Group activity is to support collaborative groups employing innovative methods to solve specific, major research challenges in the mathematical sciences. A major challenge is an outstanding problem of significant importance that requires the focused...
Supports foundational and transformative research to advance the design, engineering and fabrication of organoid systems that are capable of processing information dynamically while interfacing with non-living systems.
Supports inclusive experiential learning opportunities that provide cohorts of diverse learners with the skills needed to succeed in emerging technology fields.
Supports foundational research addressing the substantial environmental impacts of computing. Projects should surpass studies of energy efficiency alone, pursuing dramatic improvements to overall sustainability.
The Community Infrastructure for Research in Computer and Information Science and Engineering (CIRC) program drives discovery and learning in the core disciplines of the three participating CISE divisions [Computing and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information...
Supports doctoral research that digitally records and documents languages — with an emphasis on endangered languages — through the preparation of lexicons, grammars, text samples and databases, advancing linguistic theory and the study of language.
The contemporary research landscape is a collaborative and international enterprise requiring high level coordination among multi-disciplinary, cross-cultural teams. As such, the Accelerating Research through International Network-to-Network Collaborations program (AccelNet) values cooperation over competition. Program goals are to 1) leverage prior...
Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering...
Posted
Full Proposal Window
September 16, 2024
Proposal window September 1, 2024 - September 16, 2024
Supports research and infrastructure that digitally records and documents languages — with an emphasis on endangered languages — through the preparation of lexicons, grammars, text samples and databases, advancing linguistic theory and the study of language.
Supports fundamental, applied and translational research that advances knowledge and practice about diverse, equitable, inclusive and accessible STEM and STEM education workplaces and postsecondary training environments for persons with disabilities.
Supports research on the theory and applications of probability including discrete probability, stochastic processes, limit theory, interacting particle systems, stochastic differential and partial differential equations and Markov processes.
Supports early-career scientists at non-Carnegie R1 institutions in computer and information science and engineering who lack access to organizational resources, enabling them to undertake exploratory research and develop collaborations and new approaches.
Supports institutions of higher education that seek to build capacity and infrastructure for translation of fundamental academic research into tangible solutions that benefit the public.
Supports participation in an Ideas Lab — an intense, facilitated workshop — to accelerate the adoption of cell-free systems, enable new, use-inspired applications and contribute to the growth of the U.S. bioeconomy.