Federal Limited Opportunities
Below is a list of upcoming programs with proposal submission restrictions. Please make sure to check each individual opportunity announcement for eligibility, specific deadline and submission information. This is not a comprehensive list of all limited submission proposals, and while this page will be updated regularly, it should be used in conjunction with other grant information resources available from individual funding agency websites. *Important: If a program has a limited submission requirement and you do not see it on the list below, please notify limitedfunding@dartmouth.edu and follow the procedure outlined here.
EPSCoR Research Infrastructure Improvement (RII): EPSCoR Research Fellows
NSF 24-528
EPSCoR RII: EPSCoR Research Fellows directly aligns with the NSF EPSCoR strategic goal of establishing sustainable Science, Technology, Engineering, and Mathematics (STEM) professional development pathways that advance workforce development and effects engagement in STEM at national and global levels. EPSCoR RII: EPSCoR Research Fellows provides awards to build research capacity in institutions and transform the career trajectories of investigators and further develop their individual research potential through collaborations with investigators from the nation's premier private, governmental, or academic research institutions and/or centers. The fellowship provides opportunities to establish strong collaborations through extended or periodic collaborative visits to a selected host site. Through collaborative research activities with the host site, Fellows will be able to learn new techniques, develop new collaborations, advance existing partnerships, benefit from access to unique equipment and facilities, and/or shift their research toward potentially transformative new directions. The experiences gained through the fellowships are intended to have lasting impacts that will enhance the Fellows' research trajectories well beyond the award period. The benefits to the Fellows are also expected to improve the research capacity of their institutions and jurisdictions more broadly.
Dartmouth is limited to four applications for RII Track-4 to NSF (Dartmouth is not eligible to submit to RII Track-4: NASA)
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "EPSCoR" as the email subject line.
Internal Deadline: February 16, 2024
Sponsor Application Deadline: April 22, 2024
DATA REDUCTION FOR SCIENCE
Department of Energy DE-FOA-0003266
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more efficient analysis and use of massive data sets produced by observations, experiments and simulation.
Scientific observations, experiments, and simulations are producing data at rates beyond our capacity to store, analyze, stream, and archive the data in raw form. Of necessity, many research groups have already begun reducing the size of their data sets via techniques such as compression, reduced order models, experiment-specific triggers, filtering, and feature extraction. Once reduced in size, transporting, storing, and analyzing the data is still a considerable challenge – a reality that motivates SC’s Integrated Research Infrastructure (IRI) program [1] and necessitates further innovation in data-reduction methods. These further efforts should continue to increase the level of mathematical rigor in scientific data reduction to ensure that scientifically-relevant constraints on quantities of interest are satisfied, that methods can be integrated into scientific workflows, and that methods are implemented in a manner that inspires trust that the desired information is preserved. Moreover, as the scientific community continues to drive innovation in artificial intelligence (AI), important opportunities to apply AI methods to the challenges of scientific data reduction and apply data-reduction techniques to enable scientific AI, continue to present themselves [2-4].
The drivers for data reduction techniques constitute a broad and diverse set of scientific disciplines that cover every aspect of the DOE scientific mission. An incomplete list includes light sources, accelerators, radio astronomy, cosmology, fusion, climate, materials, combustion, the power grid, and genomics, all of which have either observatories, experimental facilities, or simulation needs that produce unwieldy amounts of raw data. ASCR is interested in algorithms, techniques, and workflows that can reduce the volume of such data, and that have the potential to be broadly applied to more than one application. Applicants who submit a pre-application that focuses on a single science application may be discouraged from submitting a full proposal.
Limit:
• No more than two pre-applications or applications as the lead institution.
• No more than one pre-application or application for each PI at the applicant institution.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "DATA" as the email subject line.
Internal Deadline: February 16, 2024
Sponsor Pre-Application Deadline: March 19, 2024 * Required
Sponsor Application Deadline: May 07, 2024
NSF 24-532: NSF Innovation Corps Hubs Program (I-Corps™ Hubs)
The National Science Foundation (NSF) seeks to further develop and nurture a national innovation ecosystem that guides the output of scientific discoveries closer to the development of technologies, products, processes, and services that benefit society. The goal of the NSF Innovation Corps (I-Corps) program, created in 2011, is to reduce the time and risk associated with translating promising ideas and technologies from the laboratory to the marketplace, to increase the economic competitiveness of the United States, to encourage collaboration between academia and industry, and to train NSF-funded faculty, students, post-docs, and other researchers in innovation and entrepreneurship skills. The I-Corps program utilizes experiential learning of customer and industry discovery, coupled with first-hand investigation of industrial problems and processes, to quickly assess the translational potential of inventions. The I-Corps program is designed to support the commercialization of so-called "deep technologies," i.e., those based on fundamental discoveries in science and engineering. The I-Corps program addresses the skills and knowledge gaps associated with the transformation of promising basic research outcomes into deep technology ventures (DTVs).
LIMIT: Dartmouth may be a participant (Lead or Partner) in one proposal per deadline.
The PI must be in a senior academic administrative role, at the level of Dean or higher, at the Lead (defined in Section II: Program Description) institution.
Each Partner (defined in Section II: Program Description) institution must identify a senior academic administrator at the level of Dean or higher to be included as Senior/Key Personnel.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "I-Corps" as the email subject line.
Internal Deadline: February 15, 2024
Sponsor Deadline: April 25, 2024
NSF 24-523: Expanding Capacity in Quantum Information Science and Engineering (ExpandQISE)
National Science Foundation
The NSF Expanding Capacity in Quantum Information Science and Engineering (ExpandQISE) program aims to increase research capacity and broaden participation in Quantum Information Science and Engineering (QISE) and related disciplines through the creation of a diversified investment portfolio in research and education that will lead to scientific, engineering and technological breakthroughs, while securing a talent pipeline in a field where workforce needs of industry, government and academia continue to outgrow the available talent.
The ExpandQISE program helps build and maintain a close connection between new efforts and existing impactful work in research, research training, education, outreach, and broadening participation done at the existing QISE Centers such as, for example but not limited to NSF QLCI Institutes, DOE National Research Centers, NSF Quantum Foundries, or leading QISE research Institutions, while creating and nurturing necessary critical mass at Institutions not yet fully involved in QISE. In keeping with the NSF goal of increasing the participation of all members of society in the scientific enterprise, institutions from EPSCoR jurisdictions, and institutions at which more than 50% of enrolled students come from groups that are currently under-represented in the sciences, e.g. minority-serving institutions (MSIs), are especially encouraged to apply.
Principal Investigators submitting proposals to the National Science Foundation (NSF) in response to this solicitation can expect that Program Managers from DOE will have access to the following information: letters of intent, white papers, proposals, unattributed reviews and panel summaries. DOE Program Managers may also recommend reviewers and attend the review panels as observers. Coordination with the DOE will help avoid duplication of funding by the agencies and contribute to enhancing the breadth and impact of the investments by each agency.
Dartmouth can submit up to two (2) Track 2 proposals. There are no limits on the number of Track 1 proposals.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "ExpandQISE" as the email subject line.
Internal Deadline: February 23, 2024
Required Letter of Intent: March 08, 2024
Sponsor Application Deadline: April 01, 2024
ACCELERATED RESEARCH IN QUANTUM COMPUTING (DE-FOA-0003265)
Department of Energy
The DOE SC program in Advanced Scientific Computing Research (ASCR) announces its interest in receiving applications that advance the field of quantum computing by developing enabling end-to-end software infrastructures. This FOA solicits applications from large cross-disciplinary teams that will advance computer science toward a software stack that is ready to leverage multiple quantum technologies, or will develop mathematical foundations, algorithms, and software tools toward quantum utility [1] demonstration for applications within the DOE mission.
The 2023 Basic Research Needs Workshop in Quantum Computing and Networking [6] identified several priority research directions (PRDs); this FOA targets end-to-end software toolchains to program and control quantum systems and networks at scale (PRD1), quantum algorithms delivering quantum advantage (PRD2), and resilience through error detection, prevention, protection, mitigation, and correction (PRD4). These are key components for the development of a software ecosystem that must be ready to account for modularity and interoperability on one side, and for specialization and performance on another. Research proposed in response to this FOA must primarily focus on addressing one of the two topics described below:
Topic 1 – Modular Software Stack: The diversity of quantum computing architectures and hardware technologies is expected to persist into the foreseeable future; this is an important consideration that guides the advancement of computer science sought in this topic. The development of an integrated computational ecosystem requires a general-purpose quantum software stack that is adaptable to, and takes advantage of, multiple kinds of quantum hardware.
We seek basic research in computer science and applied mathematics that:
• Addresses practical and fundamental bottlenecks that hinder modularity and potential synergy among selected hardware technologies;
• Pursues general approaches to integration that may remain relevant for future technologies;
• Devises ways to embed quantum processors in parallel and distributed computing models; and
• Integrates error management across the software stack.
Topic 2 – Quantum Utility: This topic aims to advance the research towards achievement and demonstration of quantum utility [1] by developing new algorithms and fine-tuning all levels of the software stack for a selected portfolio of promising problems within the ASCR mission.
Dartmouth is limited to no more than THREE pre-applications, or applications as the lead institution.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "Topic 1 or Topic 2" as the email subject line.
Internal Deadline: February 23, 2024
Required Pre- Application: March 13, 2024
Sponsor Application Deadline: May 8, 2024
Advancements in Artificial Intelligence for Science (DE-FOA-0003264)
Department of Energy
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of:
• Foundation models for computational science;
• Automated scientific workflows and laboratories;
• Scientific programming and scientific-knowledge-management systems;
• Federated and privacy-preserving training for foundation and other AI models for science; and
• Energy-efficient AI algorithms and hardware for science.
The development of new AI techniques applicable to multiple scientific domains can accelerate progress, increase transparency, and open new areas of exploration across the scientific enterprise.
Dartmouth is limited to no more than THREE pre-applications, or applications as the lead institution.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "AI as the email subject line.
Internal Deadline: February 27, 2024
Required Pre- Application: March 19, 2024
Sponsor Application Deadline: May 21, 2024
Nuclear Regulatory Commission 31310024K0001
The program provides funding to support research and development (R&D) for nuclear science, engineering, technology, and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. University R&D activities provide an opportunity to complement current, ongoing NRC-led research. More specifically, the program shall be used to provide financial assistance for R&D projects relevant to the programmatic mission of the NRC referenced above, with an emphasis on providing federal financial assistance with respect to research, development, demonstration, and commercial application of new and advanced nuclear technologies. Social science research will be considered under this announcement (for example, projects that would foster the development of innovative community engagement strategies, including incorporation of principles of equity and environmental justice).
Dartmouth is limited to two applications.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "NRC" as the email subject line.
Internal Deadline: March 04, 2024
Sponsor Application Deadline: April 01, 2024
NSF National Quantum Virtual Laboratory (NQVL) Quantum Science and Technology Demonstrations (QSTD): I. Pilot Phase
The National Quantum Initiative (NQI) Act1 aims to ensure the continuing leadership of the United States (U.S.) in quantum information science and technology. In conformance with the NQI goals, an argument2-5 was set forth for a renewed emphasis on identifying and fostering early adoption of quantum technologies to transform the field of Quantum Information Science and Engineering (QISE) and to accelerate broader impacts on society. A systematic approach to maturing quantum technology platforms by integrating end-users and potential customers from other fields of science and engineering and other sectors of the economy into cycles of research, development, and demonstration should result in lowering the barriers for end-users to pioneer new applications. NSF support for use-inspired and translational research in QISE, combined with its existing strength in support of the underlying foundational research, is anticipated to accelerate development of a market for quantum technologies.
With this program solicitation, the Foundation is introducing the National Quantum Virtual Laboratory (NQVL) concept as an overarching shared infrastructure designed to facilitate the translation from basic science and engineering to the resultant technology, while at the same time emphasizing and advancing its scientific and technical value. The NQVL aims to develop and utilize use-inspired and application-oriented quantum technologies. In the process, NQVL researchers will explore quantum frontiers6, foster QISE workforce education and training, engage in outreach activities at all levels, and promote broadening participation, diversity, equity, and inclusion in QISE, thereby lowering barriers at all entry points of the research enterprise. The engagement of the entire United States (U.S.) QISE community will be necessary for this initiative to succeed, and, indeed, the project is designed to include participation from a full spectrum of organizations who have expertise to contribute. In particular, NSF recognizes that the involvement of industry partners is essential and will welcome these to be a part of the overall structure. Partnerships with other U.S. Federal agencies under the NQI umbrella are also encouraged.
This solicitation lays out a vision for the entire NQVL program that includes Quantum Science and Technology Demonstration (QSTD) projects, support for enabling technologies through Transformative Advances in Quantum Systems (TAQS), as well as a central coordination hub. Proposals for Pilot phase QSTDs are solicited at this time.
It is required that prospective PIs contact the NQVL Program Officer(s) as soon as possible, but not later than two weeks before submitting a proposal in response to this solicitation, to ascertain that the focus and budget of their proposal is appropriate for this solicitation.
Up to one (1) QSTD Pilot proposal may be submitted per Lead Organization.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "QSTD" as the email subject line.
Internal Deadline: March 08, 2024
Required Letter of Intent: April 09, 2024
Sponsor Application Deadline: June 11, 2024
Partnerships for Innovation (PFI)
NSF NSF 23-538
The Partnerships for Innovation (PFI) Program within the Division of Translational Impacts (TI) offers researchers from all disciplines of science and engineering funded by NSF the opportunity to perform translational research and technology development, catalyze partnerships and accelerate the transition of discoveries from the laboratory to the marketplace for societal benefit.
PFI has five broad goals, as set forth by the American Innovation and Competitiveness Act of 2017 (“the Act”, S.3084 — 114th Congress; Sec. 602. Translational Research Grants): (1) identifying and supporting NSF-sponsored research and technologies that have the potential for accelerated commercialization; (2) supporting prior or current NSF-sponsored investigators, institutions of higher education, and non-profit organizations that partner with an institution of higher education in undertaking proof-of-concept work, including the development of technology prototypes that are derived from NSF-sponsored research and have potential market value; (3) promoting sustainable partnerships between NSF-funded institutions, industry, and other organizations within academia and the private sector with the purpose of accelerating the transfer of technology; (4) developing multi-disciplinary innovation ecosystems which involve and are responsive to the specific needs of academia and industry; (5) providing professional development, mentoring, and advice in entrepreneurship, project management, and technology and business development to innovators.
This solicitation offers two broad tracks for proposals in pursuit of the aforementioned goals.
1. The Technology Translation (PFI-TT) - no limit.
2. The Research Partnerships (PFI-RP) -Dartmouth may not submit more than one (1) new or resubmitted PFI-RP proposal to a deadline of this solicitation.
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "PFI-RP" as the email subject line.
Internal Deadline: March 29, 2024
Sponsor Deadline: May 07, 2024
NSF 23-558: Accelerating Research Translation (ART)
The ART program is intended for IHEs that clearly see the benefits of building capacity and actively seek the infrastructure necessary for scaling translational research activities. The program aims to increase such institutions' capacity to conduct and accelerate translational research activities with a clear emphasis on capturing the resultant societal and economic benefits to their surrounding communities and regions.
The ART program provides funding to build institutional capacity and the infrastructure needed to conduct translational research activities. The programmatic intent of ART is to support IHEs where the fundamental research activity is high, but the level of translational research activity is relatively low. NSF data on research expenditures can be used by the IHEs considering proposal submission for this program to determine whether their respective institutions are operating at high fundamental research levels. There are different research translation and entrepreneurship metrics (e.g., number of invention disclosures, patents issued, start-ups, licenses/options, revenue from royalties, the overall volume of industry-funded research, broad adoption of research outputs by communities or constituents, etc.) that can reflect the current capacity and the status of an infrastructure for translational research activities at an IHE. However, these metrics do not necessarily provide a complete picture. As a result, for this solicitation, each submitting IHE must provide data to justify their current capacity and infrastructure for translational research activities, using multiple evidence-based methods and metrics to determine such capacity. Most importantly, IHEs submitting a proposal to this program should clearly articulate why there is significant potential and an opportunity to build institutional capacity for translational research activities and its transition to practice.
LIMIT: One proposal allowed
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "ART" as the email subject line.
Internal Deadline: April 26, 2024
Sponsor Deadline: September 18, 2024
NSF 23-518: Advanced Computing Systems & Services: Adapting to the Rapid Evolution of Science and Engineering Research. *Category I*
Category I, Capacity Resources: production computational resources maximizing the capacity provided to support the broad range of computation and data analytics needs in S&E research.
The intent of this solicitation is to request proposals from organizations who are willing to serve as resource providers within the NSF Advanced Computing Systems and Services (ACSS) program.
Resources proposed in this category are intended to be operational deployments of production computational resources that will provide maximum capacity and throughput to support the broad range of computation and data analytics needs in S&E research. The deployments are expected to adhere to a vision of an advanced computing ecosystem as a federated set of resources and services that are heterogeneous in architecture, resource type, and usage mode to collectively meet the Nation’s foundational needs for world-leading computing capabilities.
The proposed resource must be clearly motivated by the current and future demand for computational and data analytics capacity in the broad and diverse S&E research community. This category particularly targets capabilities and/or services for small- to mid-scale jobs (from one to a few thousand cores per job) across broad areas of S&E, including support for “long-tail science” applications, as well as new classes of applications, such as artificial intelligence/machine learning/deep learning applications.
Proposers are encouraged to explore novel models for future dynamic national cyberinfrastructure federation (such as those enabled by the PATh facility), including in compute resources, software, data, technical expertise, stakeholders, on-demand allocations, and resource provisioning mechanisms. The latter mechanisms can govern regional and/or campus supported resources, and/or commercial cloud services, enabling comprehensive and effective science-based response to a potential future national and/or international urgent need; or be available to fuel AI research and development opening opportunities for the next breakthroughs in science, engineering, and technology.
LIMIT: Dartmouth can submit one proposal
To apply for this opportunity, email the following to limitedfunding@dartmouth.edu:
Overview/abstract of proposal (one page maximum)
Total request amount
Curriculum Vitae (CV)
Use "ACSS" as the email subject line.
Internal Deadline: May 03, 2024
Sponsor Deadline: October 29, 2024