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.

Jointly Sponsored Ruth L. Kirschstein National Research Service Award Institutional Predoctoral Training Program in the Neurosciences (T32 Clinical Trial Not Allowed)

The Jointly Sponsored NIH Predoctoral Training Program in the Neurosciences (JSPTPN) is an institutional program that supports broad and fundamental research training in the neurosciences. In addition to a broad education in the neurosciences, a key component will be a curriculum that provides a strong foundation in experimental design, statistical methodology and quantitative reasoning. JSPTPN programs are intended to be 2 years in duration and students may only be appointed to this training grant during the first 2 years of their graduate research training. The primary objective is to prepare students to be outstanding scientists equipped to pursue careers in neuroscience.

  • Dartmouth can submit one application
  • Federal Sponsor: NIH
  • Funding Opportunity Announcement (FOA) Number RFA-DK-21-025
  • Internal Deadline: 01/21/2022
  • Full Proposal Deadline: May 25, 2022

Chemical and Materials Sciences to Advance Clean Energy Technologies and Low-Carbon Manufacturing

The DOE SC program in Basic Energy Sciences (BES) announces its interest in receiving new applications from single principal investigators (PIs) and from small teams to advance basic and fundamental chemical and materials sciences that underpin clean energy technologies and lowcarbon manufacturing. The goal is creation of foundational knowledge to support the development of approaches that will minimize climate impacts of energy technologies and manufacturing. For this FOA, clean energy technologies include approaches to capture, produce, convert, store, and use energy that reduce or eliminate unwanted emissions such as greenhouse gases (e.g., carbon dioxide, methane, etc.). These technologies also include approaches such as direct air capture (DAC) and carbon storage/sequestration to decrease emissions that have been released into the environment from energy production and use. Low-carbon manufacturing refers to manufacturing processes that minimize carbon emissions and energy consumption. Investments from this FOA are anticipated to include awards that build foundational knowledge underpinning the Energy Earthshots Initiative.

Awards under this FOA will support basic and fundamental research. Applied research, which seeks to exploit fundamental knowledge to solve specific technical challenges, is outside the scope of this FOA.

  • Dartmouth is limited to a total of no more than 3 pre-applications or applications.
  • Federal Sponsor: Department of Energy
  • Funding Opportunity Announcement (FOA) Number DE-FOA-0002676
  • Internal Deadline: March 03, 2022  *UPDATE- One spot still available *
  • Required Pre-Application: March 16, 2022
  • Full Proposal Deadline: May 17, 2022
     

Collaborative Program Grant for Multidisciplinary Teams (RM1 - Clinical Trial Optional)

This funding opportunity announcement (FOA) is designed to support highly integrated research teams of three to six PDs/PIs to address ambitious and challenging research questions that are important for the mission of NIGMS and are beyond the scope of one or two investigators. Collaborative program teams are expected to accomplish goals that require considerable synergy and managed team interactions. Project goals should not be achievable with a collection of individual efforts or projects. Teams are encouraged to consider far-reaching objectives that will produce major advances in their fields.

Applications that are mainly focused on the creation, expansion, and/or maintenance of community resources, creation of new technologies, or infrastructure development are not appropriate for this FOA.

  • Dartmouth can submit one application
  • Federal Sponsor: NIH/NIGMS
  • Funding Opportunity Announcement (FOA) Number PAR-20-103
  • Internal Deadline: March 11, 2022
  • Full Proposal Deadline: May 27, 2022

 

Partnerships for Innovation (PFI)

The Partnerships for Innovation (PFI) Program within the Division of Industrial Innovation and Partnerships (IIP) 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.

In addition, PFI responds to the mandate set by Congress in Section 601(c)(3) of the Act (Follow-on Grants), to support prototype or proof-of-concept development work by participants, including I-Corps participants, with innovations that because of the early stage of development are not eligible to participate in a Small Business Innovation Research Program or a Small Business Technology Transfer Program.

Finally, PFI seeks to implement the mandate set by Congress in Section 102(c)(a) of the Act (Broader Impacts Review Criterion Update) by enhancing partnerships between academia and industry in the United States, and expanding the participation of women and individuals from underrepresented groups in innovation, technology translation, and entrepreneurship. 

This solicitation offers two broad tracks for proposals in pursuit of the aforementioned goals:

The Technology Translation (PFI-TT) track offers the opportunity to translate prior NSF-funded research results in any field of science or engineering into technological innovations with promising commercial potential and societal impact. PFI-TT supports commercial potential demonstration projects for academic research outputs in any NSF-funded science and engineering discipline. This demonstration is achieved through proof-of-concept, prototyping, technology development and/or scale-up work. Concurrently, students and postdoctoral researchers who participate in PFI-TT projects receive education and leadership training in innovation and entrepreneurship. Successful PFI-TT projects generate technology-driven commercialization outcomes that address societal needs.

The Research Partnerships (PFI-RP) track seeks to achieve the same goals as the PFI-TT track by supporting instead complex, multi-faceted technology development projects that are typically beyond the scope of a single researcher or institution and require a multi-organizational, interdisciplinary, synergistic collaboration. A PFI-RP project requires the creation of partnerships between academic researchers and third-party organizations such as industry, non-academic research organizations, federal laboratories, public or non-profit technology transfer organizations or other universities. Such partnerships are needed to conduct applied research on a stand-alone larger project toward commercialization and societal impact. In the absence of such synergistic partnership, the project’s likelihood for success would be minimal.

The intended outcomes of both PFI-TT and PFI-RP tracks are: a) the commercialization of new intellectual property derived from NSF-funded research outputs; b) the creation of new or broader collaborations with industry (including increased corporate sponsored research); c) the licensing of NSF-funded research outputs to third party corporations or to start-up companies funded by a PFI team; and d) the training of future innovation and entrepreneurship leaders.

There is no limit on the number of PFI-TT proposals an organization may submit to a deadline of this solicitation. However, an organization may not submit more than one (1) new or resubmitted PFI-RP proposal to a deadline of this solicitation

  • Dartmouth can submit one PFI-RP application
  • Federal Sponsor: National Science Foundation
  • Funding Opportunity Announcement (FOA) Number 19-506
  • Internal Deadline: April 08, 2022
  • Full Proposal Deadline: July 13, 2022

 

Team-Based Design in Biomedical Engineering Education (R25 Clinical Trial Not Allowed)

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The overarching goal of this R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs.

To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on:

Courses for Skills Development

This FOA seeks to support programs that include innovative approaches to enhance biomedical engineering (BME) design education to ensure a future workforce that can meet the nation’s needs in biomedical research and healthcare technologies.

Applications are encouraged from institutions that propose to establish new or to enhance existing team-based design courses or programs in undergraduate biomedical engineering departments or other degree-granting programs with biomedical engineering tracks/minors. This FOA targets the education of undergraduate biomedical engineering/bioengineering students in a team-based environment. 

  • Dartmouth can submit one application
  • Federal Sponsor: National Institutes of Health (NIH)
  • Funding Opportunity Announcement (FOA) PAR-22-000
  • Internal Deadline: April 15, 2022
  • Full Proposal Deadline: May 30, 2022

NIH Faculty Institutional Recruitment for Sustainable Transformation (FIRST) Program: FIRST Cohort (U54 Clinical Trial Optional)

Faculty Institutional Recruitment for Sustainable Transformation (FIRST) Cohort Award.

The FIRST Cohort program aims to transform culture at two types of NIH-funded extramural institutions by building a self-reinforcing community of scientists committed to inclusive excellence, through recruitment of a diverse group of individuals who:

are competitive for an advertised research tenure-track or equivalent faculty position (positions must be at the Assistant Professor (or equivalent) level,
meet the criteria for NIH-defined Early Stage Investigators, and
have demonstrated a strong commitment to promoting diversity and inclusive excellence.
Any individual who meets all of these criteria is eligible to be hired for FIRST faculty positions.


The overall goals and specific measurable objectives that the program expects FIRST Cohort awardees to accomplish are:

Goal 1: Demonstrate institutional support and develop or modify a strategic plan with specific goals and strategies, interventions, and organizational policies that will be implemented to achieve significant systemic and sustainable institutional culture change over baseline toward inclusive excellence (at the faculty, department, and institution level). FIRST Cohort awardees are also expected to develop an evaluation plan to assess the impact of actions taken towards these goals at their institution.

Goal 2: Conduct recruitment activities for new faculty, outline institutional commitment, and develop recruitment committees based on past interests and commitments to diversity, equity, and inclusion. FIRST Cohort awardees are also expected to establish a supportive environment for new faculty.

Goal 3: Develop strategies to establish individual research and career development plans and mentorship and sponsorship plans for all new faculty hired under this award. The applicants must describe how the program will reduce isolation, increase community building, foster career development, and ensure retention of the new faculty.

  • Dartmouth can submit one application
  • Federal Sponsor: National Institutes of Health (NIH)
  • Funding Opportunity Announcement (FOA) RFA-RM-22-008
  • Internal Deadline: April 22, 2022
  • Full Proposal Deadline: July 12, 2022

MANAGEMENT AND STORAGE OF SCIENTIFIC DATA

"The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in computer science exploring innovative approaches to the management and storage of scientific data."

Each pre-application and application must address as its primary focus one of the areas listed below:

1. “High-productivity interfaces for accessing scientific data efficiently” – Innovative interfaces to data-management capabilities allowing for flexible, high-performance access to large data sets, potentially federated across different kinds of memory, edge devices, and repositories, capturing relevant usage statistics, provenance, and other metadata.
2. “Understanding the behavior of complex data management systems in DOE science” – Understanding how the behavior of users, application and system algorithms, and hardware can be combined and exploited to improve performance and resilience of scientific-data-management systems, recognizing that the relevant behaviors can change over time.
3. “Rich metadata and provenance collection, management, search, and access” – Innovative methods for collecting and managing provenance and other metadata to support FAIR principles, resilience, and scientific reproducibility and discovery.
4. “Reinventing data services for new applications, devices, and architectures” – Innovative methods to design scientific-data-management services for state-of-the-art storage and networking devices, including those providing computational capabilities.

  • Dartmouth can submit two pre-applications and applications as the lead institution in a multi-institution team and no more than one for each PI 
  • Federal Sponsor: Department of Energy (DOE)
  • Funding Opportunity Announcement: DE-FOA-0002725  
  • Internal Deadline: 04/27/2022
  • Pre-Application Deadline: 05/05/2022 *A Pre-Application is required
  • Full Proposal Deadline: 06/13/2022

DATA VISUALIZATION FOR SCIENTIFIC DISCOVERY, DECISION-MAKING, AND COMMUNICATION

"The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in computer science exploring innovative approaches in data visualization to support scientific discovery, decision-making, and communication."

Each pre-application and application must address one of the three areas listed below:

1. Advancing theory and techniques for visualization to support the analysis and understanding of complex scientific data. New techniques and corresponding theory are needed to develop novel representations, algorithms, and systems to promote scientific understanding of the many different data types of interest to DOE (multivariate, multimodal, high dimensional, etc.). Furthermore, abstract information about the behavior of a complex system or about the inherent uncertainty of a decision could be more accessible through intuitive visualizations.
2. Introducing interoperable and adaptable visualization to support diverse scientific workflows across all scales. Design, develop, and deploy new portable visualization tools to support different use cases, that can leverage common infrastructure, maintain data provenance, and represent uncertainty information, while spanning the needs of a diverse set of domain users.
3. Harnessing technology innovations to accelerate science through visualization. Rapidly evolving technologies are creating opportunities and challenges for visualization in areas such as novel interfaces (touch screens, virtual reality, haptic devices, etc.) and disruptive computing modalities (exascale, edge devices, etc.). New techniques are needed to take advantage of these areas.

Each pre-application and application submitted in response to this FOA must address at least one of the PRDs described above. Additionally, submissions that can combine one or more of the following research themes with one or more of the three PRDs above are highly encouraged:


4. Improving equity in accessing and engaging with scientific data and processes. New approaches to visual communication are needed to change the scientific discourse and accelerate science into decision making. Visualization to communicate complex ideas across domains, educational backgrounds and cultures are needed, with a focus on accessibility to data, transparency, and trustworthiness to promote engagement and understanding of results from scientific computing.
5. Developing intelligent approaches for adaptive, context aware visualization of scientific data and artificial intelligence (AI). Technical advances are needed across multiple fronts: (i) development of mathematical models of perception and cognition to drive the development and adaptation of next-generation visualization tools and serve as surrogates for large-scale visualization evaluation studies, (ii) methods to enable the personalization of visualization tools that enhance the user’s experience while assisting the user with scientific insights, and (iii) development of robust, scalable, and unbiased evaluation methods and metrics for visualization tools.

  • Dartmouth can submit two pre-applications and applications as the lead institution in a multi-institution team and no more than one for each PI  
  • Federal Sponsor: Department of Energy (DOE)
  • Funding Opportunity Announcement: DE-FOA-0002726
  • Internal Deadline: 04/29/2022
  • Pre-Application Deadline: 05/10/2022 *A Pre-Application is required
  • Full Proposal Deadline: 06/21/2022

EXPRESS: 2022 EXPLORATORY RESEARCH FOR EXTREMESCALE SCIENCE

"The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science."

Applications must address one of the six research topics below:

A. Federated Scientific Machine Learning
B. Differentiable Programming
C. Explainable Artificial Intelligence
D. Parallel Discrete Event Simulation
E. Quantum Algorithms and Mathematical Methods
F. Quantum Computing at the Edge

  • Dartmouth can submit six pre-applications and applications as the lead institution (or subawards) in a single- or muti-institutional team and no more than one for each PI 
  • Federal Sponsor: Department of Energy (DOE)
  • Funding Opportunity Announcement: DE-FOA-0002717
  • Internal Deadline: 04/29/2022
  • Pre-Application Deadline: 05/12/2022 *A Pre-Application is required
  • Full Proposal Deadline: 06/23/2022

2022 MATHEMATICAL MULTIFACETED INTEGRATED CAPABILITY CENTERS (MMICCS)

"The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby invites applications for basic research that address fundamental challenges within DOE’s mission areas of energy (as detailed by the Energy Earthshots Initiative [1]), environment, and security, and from a perspective that requires new integrated efforts across multiple mathematical, statistical, and computational disciplines. This FOA invites applications for new Mathematical Multifaceted Integrated Capability Centers (MMICCs) to enable greatly enhanced scientific discovery, design, optimization or decision-support capabilities for the increasingly complex systems, processes, and problems that arise in science and energy research. Proposed research tightly focused on the solution of a particular science or engineering problem are outside the scope of this solicitation."

  • Dartmouth can submit two pre-applications and applications as the lead institution and no more than one for an individual applicant as MMICCs Director or Deputy Director
  • Federal Sponsor: Department of Energy (DOE)
  • Funding Opportunity Announcement: DE-FOA-0002704
  • Internal Deadline: 04/29/2022
  • Pre-Application Deadline: 05/17/2022 *A Pre-Application is required
  • Full Proposal Deadline: 06/28/2022

Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining)

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers' abilities to lead the development of new CI; (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven methods for advancing fundamental research, into the Nation's undergraduate and graduate educational curriculum/instructional materials; and (iii) build communities of research CI professional staff to deploy, manage, and collaboratively support the effective use of research CI, as well as establish career paths for those staff within and across institutions and science and engineering (S&E) disciplines. Proposals responding to the Pilot and Implementation project classes defined in this solicitation may target one or both of the first two solicitation goals, while proposals responding to the CIP project class must address the third goal. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental S&E research and education.

 

  • Dartmouth can submit one application
  • Federal Sponsor: National Science Foundation
  • Funding Opportunity Announcement (FOA) Number 22-574
  • Internal Deadline: April 31, 2022
  • Full Proposal Deadline: May 16, 2022

RANDOMIZED ALGORITHMS FOR COMBINATORIAL SCIENTIFIC COMPUTING

"The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in the design, development, analysis, and scalability of randomized algorithms for the challenging discrete and combinatorial problems that arise in the Department’s energy, environmental, and national security mission areas."

There are five research areas of interest:

1. Randomized algorithms for discrete problems that cannot be modeled as networks
2. Randomized algorithms for solving well-defined problems on networks
3. Universal sketching and sampling on discrete data
4. Randomized algorithms for combinatorial and discrete optimization
5. Randomized algorithms for machine learning on networks

  • Dartmouth can submit two pre-applications and applications as the lead institution in a single- or muti-institutional team and no more than one for each PI
  • Federal Sponsor: Department of Energy (DOE)
  • Funding Opportunity Announcement: DE-FOA-0002722
  • Internal Deadline: 05/04/2022
  • Pre-Application Deadline: 05/19/2022 *A Pre-Application is required
  • Full Proposal Deadline: 06/30/2022

Cystic Fibrosis Research and Translation Centers (P30 Clinical Trial Optional)

This Funding Opportunity Announcement (FOA) invites applications for Cystic Fibrosis (CF) Research and Translation Core Centers. CF Research and Translation Core Centers are designed to support both basic and clinical research on Cystic Fibrosis. CF Research and Translation Core Centers support three primary research-related activities: Research Core services; a Pilot and Feasibility program; and an Administrative Core with an enrichment program. Core Centers provide shared resources to support research to develop and test new therapies for CF and to foster collaborations among institutions with a strong existing research base in CF. 

  • Dartmouth can submit one application
  • Federal Sponsor: National Institutes of Health (NIH)
  • Funding Opportunity Announcement: RFA-DK-22-011
  • Internal Deadline: 05/15/2022
  • Letter of Intent Deadline: 06/28/2022
  • Full Proposal Deadline: 07/28/2022

Equipment Grants Program

The Equipment Grant Program (EGP) serves to increase access to shared-use special purpose equipment/instruments for fundamental and applied research for use in the food and agricultural sciences programs at institutions of higher education, including State Cooperative Extension Systems. The program seeks to strengthen the quality and expand the scope of fundamental and applied research at eligible institutions, by providing them with opportunities to acquire one major piece of equipment/instruments that support their research, training, and extension goals and may be too costly and/or not appropriate for support through other NIFA grant programs.

  • Dartmouth can submit two applications
  • Federal Sponsor: National Institute of Food and Agriculture (NIFA)
  • Funding Opportunity Announcement: USDA-NIFA-OP-009103
  • Internal Deadline: 05/20/2022
  • Full Proposal Deadline: 06/15/2022

IUSE/Professional Formation of Engineers: Revolutionizing Engineering Departments (IUSE/PFE: RED)

Revolutionizing Engineering Departments (hereinafter referred to as RED) is designed to build upon previous efforts in engineering education research. Specifically, previous and ongoing evaluations of the NSF Engineering Education and Centers Division program and its predecessors, as well as those related programs in the Directorate of Education and Human Resources, have shown that prior investments have significantly improved the first year of engineering students’ experiences, incorporating engineering material, active learning approaches, design instruction, and a broad introduction to professional skills and a sense of professional practice – giving students an idea of what it means to become an engineer.

  • Dartmouth can submit two applications (e.g. 2 RED Innovation Track or 1 RED A&I Track and 1 RED Two-year Track)
  • Federal Sponsor: National Science Foundation (NSF)
    Funding Opportunity Announcement: NSF 22-587
  • Internal Deadline: 05/27/2022
  • Full Proposal Deadline: 07/18/2022

NICHD Neonatal Research Network (NRN): Data Coordinating Center (U24 Clinical Trial Optional)

The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) invites institutions to submit applications to participate in the Neonatal Research Network (NRN).

This Funding Opportunity Announcement (FOA) invites applications for a NRN Data Coordinating Center; a separate FOA invites applications for NRN Clinical Centers.

  • Dartmouth can submit one application
  • Federal Sponsor: National Institutes of Health (NIH)
  • Funding Opportunity Announcement: RFA-HD-23-001
  • Internal Deadline: 06/03/2022
  • Letter of Intent: 07/11/2022
  • Full Proposal Deadline: 08/11/2022

NICHD Neonatal Research Network (NRN): Clinical Centers (UG1 Clinical Trial Optional)

The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) invites institutions to submit applications to participate in the Neonatal Research Network (NRN).

This Funding Opportunity Announcement (FOA) invites applications for NRN Clinical Centers; a separate FOA invites applications for a NRN Data Coordinating Center.

  • Dartmouth can submit one application
  • Federal Sponsor: National Institutes of Health (NIH)
  • Funding Opportunity Announcement: RFA-HD-23-002
  • Internal Deadline: 06/03/2022
  • Letter of Intent: 07/11/2022
  • Full Proposal Deadline: 08/11/2022

NIH Director’s Early Independence Awards (DP5 Clinical Trial Optional)

The NIH Director's Early Independence Award supports exceptional junior investigators who wish to pursue independent research soon after completion of their terminal doctoral degree or post-graduate clinical training, thereby forgoing the traditional post-doctoral training period and accelerating their entry into an independent research career. For the program to support the best possible researchers and research, applications are sought which reflect the full diversity of the research workforce. Individuals from diverse backgrounds, including those from underrepresented groups and from the full spectrum of eligible institutions in all geographic locations, are strongly encouraged to apply to this Funding Opportunity Announcement. In addition, applications in all topics relevant to the broad mission of NIH are welcome, including, but not limited to, topics in the behavioral, social, biomedical, applied, and formal sciences and topics that may involve basic, translational, or clinical research. The NIH Director's Early Independence Award is a component of the High-Risk, High-Reward Research program of the NIH Common Fund.

  • Dartmouth can submit two applications 
  • Federal Sponsor: National Institutes of Health (NIH)
  • Funding Opportunity Announcement: RFA-RM-22-021 
  • Internal Deadline: 06/24/2022
  • Letter of Intent: 08/02/2022
  • Full Proposal Deadline: 09/02/2022

NIAMS Rheumatic Diseases Research Resource-based Centers (P30 - Clinical Trial Not Allowed)

The National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) requests applications for the NIAMS Resource-based Centers Program (P30) for rheumatic diseases research areas within its mission. The Resource-based Centers will provide critical research infrastructure, shared facilities, services, and/or resources to groups of investigators conducting research on rheumatic diseases, enabling them to conduct their independently-funded individual and/or collaborative research projects more efficiently and/or more effectively, with the broad overall goal of accelerating, enriching, and enhancing the effectiveness of ongoing basic, translational, and clinical research and promoting new research within the NIAMS mission.

  • Dartmouth can submit one application
  • Federal Sponsor: National Institutes of Health (NIH)
  • Funding Opportunity Announcement: RFA-AR-23-002
  • Internal Deadline: 06/24/2022
  • Letter of Intent: 08/13/2022
  • Full Proposal Deadline: 09/13/2022

Summer Stipends

The National Endowment for the Humanities’ Summer Stipends program aims to stimulate new research in the humanities and its publication. The program works to accomplish this goal by:

Providing small awards to individuals pursuing advanced research that is of value to humanities scholars, general audiences, or both
Supporting projects at any stage of development, but especially early-stage research and late-stage writing in which small awards are most effective
Funding a wide range of individuals, including independent scholars, community college faculty, and non-teaching staff at universities
Summer Stipends support continuous full-time work on a humanities project for a period of two consecutive months.  NEH funds may support recipients’ compensation, travel, and other costs related to the proposed scholarly research.

  • Dartmouth may nominate two faculty
  • Federal Sponsor: National Endowment for the Humanities
  • Funding Opportunity Announcement: 20220921-FT
  • Internal Deadline: 07/08/2022
  • Full Proposal Deadline: 09/21/2022

 

 

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