Sponsor	Title	Amount	Deadline	Notes
DOD	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.
DOD	Army Research Laboratory Broad Agency Announcement for Basic and Applied Scientific Research		Open till 3/31/2022	W911NF-17-S-0003 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.
DOD	Air Force Office of Scientific Research (AFOSR) Broad Agency Announcement		Open until superseded	FA9550-21-S-0001 Our focus is on research areas that offer significant and comprehensive benefits to our national warfighting and peacekeeping capabilities.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)
NSF	Advanced Manufacturing (AM)			The AM program accelerates advances in manufacturing technologies with emphasis on multidisciplinary research that fundamentally alters and transforms manufacturing capabilities, methods and practices. Advanced manufacturing research proposals should address issues related to national prosperity and security, and advancing knowledge to sustain global leadership.
DOD	Science &Technology for Advanced Manufacturing Projects (STAMP)		10/30/2021	The focus of this BAA is primarily on projects that continue to advance the systems engineering approach needed for the design, fabrication, and manufacture of structural components to address challenges in system weight, performance, affordability, and/or survivability. The foundation of this approach should include the integration of materials information, captured in computational tools, with engineering product performance analysis and manufacturing-process simulation termed commonly as Integrated Computational Materials Engineering (ICME).
NSF	Engineering Design and System Engineering (EDSE)			Of particular interest is research on the design of engineering material systems that leverages the unique aspects of a particular material system to realize advanced design methods that are driven by performance metrics and incorporate processing/manufacturing considerations.
NSF	Particulate and Multiphase Processes			Major research areas of interest in the program include: Multiphase flow phenomena, Particle science and technology, Multiphase transport in biological systems and Interfacial transport.
NSF	Engineering for Civil Infrastructure (ECI)			The ECI program focuses on geomaterials and geostructures, structural materials (metallic, polymeric, cementitious, glass, composites, etc.), structural and non-structural systems, and building envelopes. Principal Investigators are encouraged to consider physical civil infrastructure subjected to and interacting with the natural environment during construction; under normal service conditions; and under severe loading and environmental conditions.
NSF	Mechanics of Materials and Structures (MOMS)			The MOMS program supports fundamental research in mechanics as related to the behavior of deformable solid materials and structures under internal and external actions. Proposals that explore and build upon advanced computing techniques and tools to enable major advances in mechanics are particularly welcome.
NSF	Operations Engineering (OE)			The OE program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context.