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U.S. National Science Foundation

Mind, Machine and Motor Nexus

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 adaptability, efficiency, and intuitiveness. Proposals submitted to the M3X program must clearly articulate how the proposed work advances knowledge of bidirectional interactions between humans and intelligent engineered systems. Examples include robots assisting in disaster response, smart environments that learn user preferences, and virtual reality-based rehabilitation technologies that simulate plausible physics. While proposals are not required to address all aspects of the interaction, they must propose significant contributions to at least one of the following areas: Conceptual Frameworks and Theoretical Modeling Development of new conceptual, mathematical, or computational frameworks that provide structured approaches to understanding and analyzing the bidirectional interaction between humans and engineered systems. These frameworks serve as formalized models or methodologies that guide research in areas such as cognition, perception, and behavior of both humans and intelligent engineered systems during their interactions. Additionally, these computational frameworks facilitate the modeling of safe operating conditions in dynamic task environments and the identification of theoretical limits of cognitive and physical performance capabilities during interaction. Dynamic Interaction Analysis and Simulation Investigation of emerging and established bidirectional interaction phenomena in physical, virtual, or hybrid environments. Potential topics may include learning, co-adaptation, cooperation, competition, and multi-scale interaction. The program also welcomes novel experimental paradigms to evaluate processes and performance. Innovative Technologies for Enhanced Interaction Development of methods, tools, and technologies to enable novel or improved forms of bidirectional interaction, guided by hypotheses and interaction-driven requirements. Potential topics may include creating meaningful task environments (physical, virtual, or hybrid); designing new modalities and interfaces for interaction; developing advanced evaluation, measurement, and instrumentation methods; testbeds, and improving real-time integration of multi-modal sensorimotor data. The M3X program strongly encourages proposals that aim to establish new perspectives and paradigms across one or more of the three areas listed above. To ensure strong alignment with M3X objectives, Principal Investigators are encouraged to submit a one-page Project Summary to [email protected] for feedback from Program Directors.

Eligibility

Eligible applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility".

  • Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"

Application requirements

  • 1Apply through Grants.gov (SAM.gov registration required).

How to apply

Apply online at https://www.grants.gov/search-results-detail/358682 via Grants.gov. Agency contact: U.S. National Science Foundation — [email protected].

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Geological Survey

Cooperative Agreement for Affiliated Partner with the Colorado Plateau Cooperative Ecosystem Studies Unit (CESU)

U.S. Geological Survey's (USGS), Northern Rocky Mountain Science Center (NOROCK), is offering a funding opportunity to improve assessments of floodplain connectivity and riverscape health. Current approaches to identify floodplain connectivity across the western United States rely on field data, limiting inference and spatial extent of data. However, existing lidar datasets through the USGS provide unique opportunities to develop approaches using lidar elevation data to provide robust estimates of floodplain connectivity. The ultimate use of these data would be to identify factors limiting healthy riverscapes across the Great Basin. The CESU partner in collaboration with NOROCK's research fisheries biologist will advance the ability to evaluate riverscape health by addressing one or more of the following considerations to improve assessments of riverscape health: Develop a workflow for using lidar to estimate floodplain connectivity within riverscapes in the Great Basin. Demonstrate the benefits this approach in comparison to existing methods. Quantify continuous estimates of floodplain connectivity across portions of the Great Basin. Results will be useful to the broader community working to assess and restore the health and ecosystem services of riverscapes in the Western US in relation to drought, land management activities, and fish and wildlife populations. Biologists and geomorphologists from NOROCK and the CESU Partner will collaborate with federal and state agencies and NGO partners to ensure their approach and data are accessible, scalable, and transferable to encourage the uptake by the broader scientific community involved with riverscape health assessments and restoration actions. This project focuses on using remote sensing products to efficiently direct resources to restoration of rivers and riparian areas. Using lidar data to map the health of riverscapes supports: SO 3435 - Implementation of the Expanding Public Lands Outdoor Recreation Experiences Act (June 25, 2025) SO 3442 - Land and Water Conservation Fund Implementation by the U.S. Department of the Interior (September 4, 2025) Improving methods beyond field data by leveraging available lidar data will provide continuous, robust measures of riverscape health, thus supporting and restoring Gold Standard Science approaches: EO 14303 – Restoring Gold Standard Science (May 23, 2025) SO 3441 Implementing the Requirements of Executive Order 14303, Restoring Gold Standard Science, May 23, 2025 (August 29, 2025) Restoring our riverscapes will inform Land and Water Conservation Fund Implementation by the U.S. Department of the Interior: and the lead to improved riverscape health that align with the Implementation of the Expanding Public Lands Outdoor Recreation Experiences Act. Further, the benefits of this project will provide cascading benefits to fish and wildlife, thus recovering populations and species. This falls in line with the goals outlined in: EO 14313 – Establishing the President's Make America Beautiful Again Commission (July 3, 2025) SO 3435 - Implementation of the Expanding Public Lands Outdoor Recreation Experiences Act (June 25, 2025) SO 3442 - Land and Water Conservation Fund Implementation by the U.S. Department of the Interior (September 4, 2025)

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