|Army Research Office Broad Agency Announcement for Fundamental Research
|Whitepaper strongly encouraged Open till 3/31/2022
|ARL’s strategy is based on seven Science and Technology (S&T) Competencies: Ballistic Sciences, Computational Sciences, Human Sciences, Materials & Manufacturing Sciences, Network & Information Sciences, Propulsion Sciences, and Protection Sciences.
|Army Research Laboratory Broad Agency Announcement for Basic and Applied Scientific Research
|Open till 3/31/2022
The ARL BAA identifies topics of interest to the ARL Directorates (Computational and
Information Sciences Directorate, Human Research and Engineering Directorate, Sensors and Electron Devices Directorate, Survivability/Lethality Analysis Directorate, Vehicle and Technology Directorate, and Weapons and Materials Research Directorate) and to the Army Artificial Intelligence Task Force. The Directorates focus on executing in-house research programs, with a significant emphasis on collaborative research with other organizations in an Open Campus setting.
|Air Force Office of Scientific Research (AFOSR) Broad Agency Announcement
|Open until superseded
Our focus is on research areas that offer significant and comprehensive benefits to our national warfighting and peacekeeping capabilities. These areas are organized and managed in two scientific branches, each with two teams:
* Engineering and Information Sciences(RTA): ENGINEERING AND COMPLEX SYSTEMS (RTA1) and INFORMATION AND NETWORKS (RTA2)
* Physical and Biological Sciences(RTB): PHYSICAL SCIENCES (RTB1) and CHEMISTRY AND BIOLOGICAL SCIENCES (RTB2)
|Research on Emerging Technologies for Teaching and Learning (RETTL)
|The RETTL program is to fund exploratory and synergistic research in emerging technologies: artificial intelligence (AI), robotics, and immersive or augmenting technologies for teaching and learning in the future. The program accepts proposals that focus on learning, teaching, or a combination of both. The scope of the program is broad, with special interest in diverse learner/educator populations, contexts, and content, including teaching and learning in science, technology, engineering, and mathematics (STEM) and in foundational areas that enable STEM (e.g., self-regulation, literacy, communication, collaboration, creativity, and socio-emotional skills). Research in this program should be informed by the convergence (synthesis) of multiple disciplines: e.g., learning sciences; discipline-based education research; computer and information science and engineering; design; and cognitive, behavioral, and social sciences. Within this broad scope, the program also encourages projects that investigate teaching and learning related to futuristic and highly technological work environments.
|Energy Power Control and Networks (EPCN)
|The Energy, Power, Control, and Networks (EPCN) Program supports innovative research in modeling, optimization, learning, adaptation, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation, as well as risk management in the presence of uncertainty, sub-system failures, and stochastic disturbances. EPCN also invests in novel machine learning algorithms and analysis, adaptive dynamic programming, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN's goal is to encourage research on emerging technologies and applications including energy, transportation, robotics, and biomedical devices & systems. EPCN also emphasizes electric power systems, including generation, transmission, storage, and integration of renewable energy sources into the grid; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory & economic structures and with consumer behavior.
|Mind, Machine and Motor Nexus (M3X)
|The M3X program supports fundamental research at the intersection of mind, machine and motor. A distinguishing characteristic of the program is an integrated treatment of human intent, perception, and behavior in interaction with embodied and intelligent engineered systems and as mediated by motor manipulation. The M3X program seeks to support the development of theories, representations, and working models that draw upon and contribute to fundamental understanding within and across diverse fields, including but not limited to systems science and engineering; mechatronics; cognitive, behavioral and perceptual sciences; and applied computing.
Application areas supported by the M3X program span the full breadth of the Division of Civil, Mechanical and Manufacturing Innovation. Methodological innovation is emphasized, as is a focus on engaging new and emerging thematic areas.
|Principles and Practice of Scalable Systems (PPoSS)
|Planning: $250,000; Large: $1M
|PPoSS specifically seeks to fund projects that span the entire hardware/software stack and will lay the groundwork for sustainable approaches for engineering highly performant, scalable, and robust computing applications.
|Comcast Innovation Fund
|Up to $150,000
|Funding is done annually starting in January and continues until the year's fund is exhausted.
|Formal Methods in the Field (FMitF)
|$750,000 for Track I; $100,000 for Track II
|This solicitation limits the field to the following areas that stand to directly benefit from a grounding in formal methods: computer networks, distributed/operating systems, embedded systems, human centered computing, and machine learning. Track I addresses fundamental contributions to both formal methods and the respective field(s). Track II supports the ongoing development of extensible and robust formal-methods research prototypes/tools to facilitate usability and accessibility to a larger and more diverse community of users.
|Explainable Artificial Intelligence for Decoding and Modulating Neural Circuit Activity Linked to Behavior (R01 Clinical Trial Optional)
|Solicits applications in the area of XAI applied to neuroscientific questions of encoding, decoding, and modulation of neural circuits linked to behavior.
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