|Microsoft||AI for Earth Grant||Azure compute credits worth $5,000, $10,000, or $15,000||4/5/2021, 7/5/2021, 10/4/2021||AI for Earth awards grants to support projects that use AI to change the way people and organizations monitor, model, and manage Earth's natural systems.|
|DOD||Army Applied Small Business Innovation Research Program (SBIR)||Phase I:$260,000 and six months
Phase II:up to $1.7 million and 18 months
|Open from 4/14/21 to 5/18/2021||The Army Applied SBIR Program just released 29 new contract opportunities for U.S.-based small businesses to tackle challenges in some of the Army’s most critical modernization needs such as advanced manufacturing, artificial intelligence (AI) and machine learning (ML), hypersonics, advanced materials, and network.|
|DOE||Data Science to Advance Chemical and Materials Sciences||$400k - $1.2M||4/14/2021-Pre-proposal
6/1/2021- Full proposal
|The program interests in receiving new applications from teams of investigators expanding the integration of data science methods with BES research disciplines, to accelerate scientific discovery and overcome difficult challenges in these fields. This FOA is focused on new applications that will take advantage of the rapid growth of data science, including artificial intelligence (AI) and machine learning (ML) methodologies.|
|DOD||Fiscal Year 2022 Defense University Research Instrumentation Program (DURIP)||$50k-$1.5M for one year||4/23/2021-White Paper
|This announcement seeks proposals from universities to purchase equipment and instrumentation in support of research in areas of interest to the DoD. A central purpose of the DURIP is to provide equipment and instrumentation to enhance research related education in areas of interest and priority to the DoD. Therefore, your proposal must address the impact of the equipment or instrumentation on your institution’s ability to educate students through research in disciplines important to DoD missions.
DoD interests include the areas of research supported ARO, ONR and AFOSR.
|NSF||NSF Convergence Accelerator Phases I and II for the 2021 Cohort (21-572)||Phase I:25-30 awards, up to $750K for 12 months
Phase II: 5-8 awards, up to $5M for 24 months
6/14/2021-Phase I proposal
5/22/2022-Phase II proposal
|FY 2021 Track Topics:
Networked Blue Economy (Track E): This track aims to create a smart, integrated, connected, and open ecosystem for ocean innovation, exploration, and sustainable utilization.
Trust & Authenticity in Communications Systems (Track F): The overarching goal of Track F is to develop prototype(s) of novel research platforms forming integrated collection(s) of tools, techniques, and educational materials and programs to support increased citizen trust in public information of all sorts (health, climate, news, etc.), through more effectively preventing, mitigating, and adapting to critical threats in our communications systems.
|NIH||Screening for Conditions by Electronic Nose Technology (SCENT) (U01 Clinical Trial Optional)||$650,000/$800,000 in direct cost per year||5/10/2021, 6/10/2021||Seeking applications for a portable sensing device to detect volatile organic compounds (VOCs, i.e. scents or odors) emanating from skin and to develop a catalog of VOCs as distinct signatures for at least 20 human diseases and conditions.|
|Assistant Secretary of the Army||xTechGlobal AI Challenge||$10k(Part 1)
|5/12/2021- Part I Concept paper||The xTechGlobal AI Challenge aims to engage with eligible international small to medium enterprises in the DEVCOM Atlantic Area of responsibility (AOR), including Europe, the Middle East and Africa (EMEA), across the broad spectrum of science and technology to identify capabilities that provide robust, AI-enabled capabilities to manage, integrate, and process disparate data/information sources for rapid decision making.|
|NSF||Stimulating Collaborative Advances Leveraging Expertise in the Mathematical and Scientific Foundations of Deep Learning (SCALE MoDL)||Up to $1.2M||5/12/2021||This solicitation seeks projects that aim to enlarge the nation’s base of researchers and students in theoretical foundations of deep learning, and that may bring novel approaches from the MoDL disciplines to bear on the challenges of deep learning.|
|DOD||N00014-21-S-F003 Fiscal Year (FY) 2022 Department of Defense Multidisciplinary Research Program of the University Research Initiative (MURI)||Up to $1.5M per year for 5 years||6/7/2021-White Paper
|DoD's MURI, one element of the University Research Initiative (URI), is sponsored by the DoD research offices, including ONR, ARO and AFOSR. DoD's MURI program addresses high-risk basic research and attempts to understand or achieve something that has never been done before. Key to the program’s success is the close management of the MURI projects by Service program officers and their active role in providing research guidance.|
|US Department of State (DOS)||American Center Technology Club||$1,000 - $15,000||5/31/2021||Through this funding opportunity, the U.S. Consulate General aims to provide American Center patrons high quality opportunities to learn and experience new Science, Technology, Engineering, and Mathematics (STEM) programs. Projects should indicate the level of the program (a) beginners with little to no coding knowledge, (b) for medium STEM knowledge, (c) for advanced STEM professionals.
Proposals that focus on one or more of the priority STEM and esports programs and target audiences specified below will receive funding. The program will help build networking and mentorship opportunities for students and young professionals in practicing STEM and entrepreneurial processes.
|DOD||Department of Army Ultra-wide Bandgap RF Electronics Center Fiscal Year 2022||$150,000 USD
Amount Upper: $4,500,000 USD
|6/1/2021||The ARO is soliciting proposals for establishing a multidisciplinary research center for extreme-radio-frequency electronics (x-RF electronics) based on ultra-wide bandgap (UWBG) semiconductors and related emerging materials. The UWBG RF Electronics Center to be created will facilitate collaboration between extramural academic researchers and the Army in pursuit of a mutual goal: generating the foundational knowledge in solid-state physics, device structures, integrated circuit design, materials discovery and development, and physics-based machine learning needed to enable the next generation of RF electronics with unprecedented power, bandwidth, frequency agility, and size-weight-and-power (SWaP) requirements. This necessitates novel research that moves beyond the frequency, power and noise constraints imposed by current approaches to modeling, materials, and established device structures. The Center will provide the Army with a new ability to create advanced RF technologies across its modernization priorities for robust multi-domain operations in highly contested electromagnetic (EM) environments.|
|NIH||Virtual Approaches Towards New Chemistries for Un-drugged Targets through A Specialized Platform for Innovative Research Exploration (ASPIRE) Collaborative Research Program (U18 Clinical Trials Not Allowed)||Up to $400,000 in direct cost||6/8/2021||ASPIRE encourages submissions to facilitate translational and clinical research to develop approaches that will enhance our ability to discover and develop new chemistries designed towards previously undrugged biological targets (i.e., biological targets with no known drugs to modulate their function) across many human diseases and conditions.|
|NIH||New Chemistries for Un-drugged Targets through A Specialized Platform for Innovative Research Exploration (ASPIRE) Collaborative Research Program (UG3/UH3 Clinical Trials Not Allowed)||$750,000/$1M in direct cost per year||6/8/2021; 7/8/2021||For FY2021, Artificial Intelligence (AI) and Quantum Information Science and Engineering (QISE) have been added to the national priority areas in which the NRT Program encourages proposals. Proposals are sought on any interdisciplinary research theme of national priority, with special emphasis on AI and QISE and the six research areas within NSF's 10 Big Ideas.|
|NIH||Exploratory/Developmental Bioengineering Research Grants (EBRG) (R21 Clinical Trial Optional)||Amount Upper: $275,000||6/16/2021Standard Due Dates||The EBRG applications to demonstrate feasibility and potential utility of new capabilities or improvements in quality, speed, efficacy, operability, costs, and/or accessibility of solutions to problems in basic biomedical, pre-clinical, or clinical research, clinical care delivery, or accessibility. The rationale is to support first steps toward delivery of new capabilities to meet evolving requirements for technologies and methods relevant to the advance of research and/or medical care in pre-clinical, clinical and non-clinical settings, domestic or foreign, for conditions and diseases within the missions of participating NIH Institutes and Centers.
Proposed research to solve a wide range of relevant problems is sought, and may explore, but is not limited to a (1) new multidisciplinary approach to a biomedical challenge; (2) high- or low-risk development of significance; or (3) data collection to support future research with potential significance.
|NSF||National Science Foundation Research Traineeship Program (NRT)||Up to $3M for Track 1; $2M for Track 2||9/6/2021||For FY2021, Artificial Intelligence (AI) and Quantum Information Science and Engineering (QISE) have been added to the national priority areas in which the NRT Program encourages proposals. Proposals are sought on any interdisciplinary research theme of national priority, with special emphasis on AI and QISE and the six research areas within NSF's 10 Big Ideas.|
|NSF||Research on Emerging Technologies for Teaching and Learning (RETTL)||$850,000||10/18/2021
|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.|
|NSF||Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH)||Small: up to $500,000; Medium: $500,000 - $1.2M, Frontier: $1.2M -$1.7M||12/15/2021 -FRONTIER; Any time -SMALL and MEDIUM Proposals||The purpose of this interagency program solicitation is to support the development of transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities. Transformations hinge on scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze and interpret data from individuals, devices and systems to enable discovery and optimize health. Solutions to these complex biomedical or public health problems demand the formation of interdisciplinary teams that are ready to address these issues, while advancing fundamental science and engineering.|
|NSF||Cyber-Physical Systems (CPS)||Small: up to $500,000; Medium: $500,000 - $1.2M, Frontier: $1.2M -$1.7M||12/15/2021 -FRONTIER; Any time -SMALL and MEDIUM Proposals||The CPS program aims to develop the core research needed to engineer these complex CPS, some of which may also require dependable, high-confidence, or provable behaviors. Core research areas of the program include control, data analytics, and machine learning including real-time learning for control, autonomy, design, Internet of Things (IoT), mixed initiatives including human-in- or human-on-the-loop, networking, privacy, real-time systems, safety, security, and verification. By abstracting from the particulars of specific systems and application domains, the CPS program seeks to reveal cross-cutting, fundamental scientific and engineering principles that underpin the integration of cyber and physical elements across all application domains. The program additionally supports the development of methods, tools, and hardware and software components based upon these cross-cutting principles, along with validation of the principles via prototypes and testbeds. This program also fosters a research community that is committed to advancing education and outreach in CPS and accelerating the transition of CPS research into the real world.|
|NSF||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.|
|NSF||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.
|NSF||Principles and Practice of Scalable Systems (PPoSS)||Planning: $250,000; Large: $1M||1/24/2022||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||Comcast Innovation Fund||Up to $150,000||Funding is done annually starting in January and continues until the year's fund is exhausted.|
|NSF||Formal Methods in the Field (FMitF)||$750,000 for Track I; $100,000 for Track II||2/15/2022||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.|
|NIH||Explainable Artificial Intelligence for Decoding and Modulating Neural Circuit Activity Linked to Behavior (R01 Clinical Trial Optional)||3/10/2022||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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