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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 breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting. The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, propo...

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AGS Infrastructure Cluster  The Atmospheric and Geospace Sciences (AGS) Infrastructure Cluster (IC) is responsible for the oversight of facilities that enable research in the atmospheric and geospace sciences. The IC primarily oversees the NSF National Center for Atmospheric Research (NCAR), but it also supports community-based instrumentation and facilities, and data storage and provisioning. NSF

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The Geospace Cluster (GC) in the Division of Atmospheric and Geospace Sciences (AGS) supports fundamental and solutions-oriented research, technology development and education related to the Earth's near-space environment (including the mesosphere, thermosphere, ionosphere, exosphere, magnetosphere and radiation belts) and the inner heliosphere and solar atmosphere. The GC advances knowledge of the Sun--Earth system, including how various parts of the system are coupled through dynamical, electrodynamical and chemical processes. The GC supports research on the societal impacts of these processes including space weather and upper atmosphere climate change, with the aim of increasing resilience to such natural hazards. The GC supports research that uses ground-based or space-based observational facilities and instruments as well as data centers and a broad range of theoretical, modeling, observational, data analyses and laboratory activities. General research topics that are supported by the GC include, but are not limited to: Aeronomy, including studies of wave dynamics, ionization, recombination, chemical reaction, photo emission and transport of energy and momentum within and between the mesosphere, thermosphere and ionosphere of the Earth; how this global system is coupled to the stratosphere below and magnetosphere above; and the plasma physics of phenomena manifested in the coupled ionosphere-magnetosphere system. Magnetospheric physics, including studies of the magnetosphere, or the cavity carved out of the solar wind by the Earth's magnetic field, its energization by....

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The Chemical Evolution of the Solid Earth and Volcanology (CESEV) program aims to advance fundamental knowledge about the origin and evolution of our home planet including its core, mantle, and continental crust. The program encourages a wide range of laboratory, field, experimental, theoretical, and/or computational studies that explore the continuous high-temperature igneous and metamorphic geochemical and petrologic processes that shape the Earth. Volcanology and magmatic processes, ore deposits and economic geology, and geochronology are all in the purview of this program. Research in these areas can help improve our understanding of volcanic and other natural hazards, and the distribution of mineral and other natural resources.

The Water, Landscape, and Critical Zone Processes program supports research on the Earth’s near-surface environment and how that environment responds to change. The Program focuses on the complex interplay amongst and between hydrologic, geomorphic, and geochemical processes and how they regulate the structure and function of the Earth’s near surface. These processes drive weathering and soil development, control water availability and quality, and help regulate the Earth’s climate system, all of which are important for natural resource sustainability and mitigation of natural hazards. It is expected that the research funded in this program will advance fundamental knowledge in Earth surface processes, leading to transformational discoveries in Earth Sciences.

The Life and Environments Through Time (LET) program supports research that advances knowledge about the patterns and processes relating to the origin and evolution of Earth’s climate, environments, life, and sedimentary record. This research takes place at the molecular, local, regional, and global scales from the Archean Eon through the Holocene epoch. LET-supported research can be useful for predicting and planning for future global change, and for the maintenance and security of ecosystem services and human societies.

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The Mind, Machine, and Motor Nexus (M3X) program supports fundamental research that enables intelligent engineered systems and humans to engage in bidirectional interaction in a physics-based environment, to enhance and ensure safety, productivity, and well-being. For the purpose of this program an intelligent engineered system is a human-designed system — physical, virtual, or a combination of both — that interacts with its environment to achieve specific goals. These systems collect data, analyze it to make informed decisions, and take actions that enhance safety, efficiency, and well-being. They may operate autonomously or collaboratively with humans, adapting their actions based on the data they collect. A key requirement for the M3X program is that these systems must function within a physics-based environment, whether physical or virtual, where interactions exhibit recognizable physical behaviors, such as those associated with gravity, friction, force, and inertia. Intelligent engineered systems are becoming increasingly integrated into our daily lives, interacting with humans across diverse environments and through different modalities (for example, visual, haptic, auditory). M3X aims to deepen the understanding of such interactions, particularly in complex and dynamic settings such as elder care, disaster response, and dynamic workplaces. The program encourages explorations into the physical or cognitive principles that enable or constrain human-machine collaboration, advancing foundational theories, interaction modeling, and technological innovations that enhance a...

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