Completed

No Applicants  // Limit: one postdoctoral applicant per lab

The Predoctoral Fellowship in Drug Delivery provides support for promising students in advanced stages of training and thesis research in drug delivery research, including basic pharmaceutics, biopharmaceutics, pharmaceutical technology, pharmaceutical biotechnology, or biomedical engineering.

Eligibility: 

• Applicants will have completed most of their pre-thesis requirements and be PhD candidates. 
• Applicants should expect to complete their PhD requirements in two years or less from the time funding begins. 
• Applicants enrolled in MD/PhD programs should not be engaged in required clinical coursework or clerkships while the fellowship is active. 

*Due to the competitive nature of this funding program, the internal competition is run based on the anticipated May 15, 2024 LOI deadline.

No Applicants // Limit: one postdoctoral applicant per lab

The Postdoctoral Fellowship in Drug Delivery supports individuals engaged in a multidisciplinary, collaborative research training program that will extend their credentials in drug delivery research, including basic pharmaceutics, biopharmaceutics, pharmaceutical technology, pharmaceutical biotechnology, or biomedical engineering.

Eligibility:

• Applicants must hold a PhD, PharmD, MD, before funding can begin.
• Applicants must be within their first five years of postdoctoral study at the time of award activation.

*Due to the competitive nature of this funding program, the internal competition is run based on the anticipated May 15, 2024 LOI deadline.

Limit: 1 //  S. Radovick ( Health Sciences)

The National Center for Advancing Translational Sciences (NCATS) will award Institutional Research Career Development (K12) programs through the Clinical and Translational Science Awards (CTSA). The purpose of this Funding Opportunity Announcement (FOA) is to encourage institutions to propose creative and innovative institutional research career development programs designed to prepare an outstanding heterogeneous pool of promising later stage postdoctoral fellows and junior faculty scholars in clinical and translational science who have made a commitment to independent research careers (i.e., tenure-track or equivalent faculty positions), and to facilitate their timely transition to more advanced support mechanisms, e.g., K08, K23, R01, R03, etc. Applicants must submit both a UM1 application to PAR-21-293: Clinical and Translational Science Award and a K12 application to this FOA.

This Funding Opportunity Announcement (FOA) allows appointment of Scholars (K12) proposing to serve as the lead investigator of an independent clinical trial; or proposing a separate ancillary clinical trial; or proposing to gain research experience in a clinical trial led by another investigator, as part of their research and career development.

With this solicitation for the K12 application, a separate, companion FOA solicits applications for a required UM1 (PAR-21-293). A UM1 hub application without the required companion K12 application will not be reviewed. The required K12 application will only be awarded if the UM1 application is awarded. Initial and resubmission of K12 will be accepted concurrently or if the UM1 application is awarded.

The application must provide a specific plan describing the partnership between the UM1, the required K12 and any optional components. The applicant institution must be the UM1 applicant. The UM1 institution must have a strong and high-quality research program in the area(s) proposed under this K12 FOA and must have the requisite faculty, staff, potential scholars and facilities on site to conduct the proposed institutional program. In many cases, it is anticipated that the proposed program will complement other ongoing career development programs occurring at the applicant institution and that a substantial number of program faculty will have active research projects in which participating scholars may gain relevant experiences consistent with their research interests and goal.

The sponsoring institution must assure support for the proposed program. Appropriate institutional commitment to the program includes the provision of adequate staff, facilities, and educational resources that can contribute to the planned program.

The PD/PI should be an established investigator in the scientific area in which the application is targeted and capable of providing both administrative and scientific leadership to the development and implementation of the proposed program. The PD/PI will be responsible for the selection and appointment of trainees to the approved research training program, and for the overall direction, management, administration, and evaluation of the program. The PD/PI will be expected to monitor and assess the program and submit all documents and reports as required. The PD/PI has responsibility for the day to day administration of the program and is responsible for appointing members of the Advisory Committee (when applicable), using their recommendations to determine the appropriate allotment of funds.

Only one K12 application will be awarded if the UM1 application is awarded. If the UM1 is awarded and the initial K12 is not, the K12 application may be resubmitted. If the UM1 (A0) application is not awarded, then the K12 (A0) will not be awarded.

NCATS solicits the submission of one set of companion applications. With this FOA for the K12 application, a separate, companion FOA seeks applications for a required UM1 (PAR-21-293: Clinical and Translational Science Award). The UM1 and initial K12 applications must be submitted concurrently; a K12 application without the required companion UM1 application will not be reviewed. The required K12 application will only be awarded if the UM1 application is awarded. 

Limit: 1 // S. Carvajal (Health Promotion Sciences /Arizona Prevention Research Center (AzPRC)).

Only one application per SIP per institution is allowed (e.g., multiple applications for the same SIP from the same institution are NOT permitted).

This Notice of Funding Opportunity (NOFO) will provide supplemental funding to the CDC Health Promotion and Disease Prevention Research Centers (RFA-DP-24-004) to conduct Special Interest Research Projects (SIP) to inform public health practice. Recipients will conduct high-quality applied health promotion and disease prevention research in real-world settings to identify, design, test, assess, evaluate, disseminate, and translate interventions (i.e., programs, practices, policies, or strategies) to prevent and reduce risk for the leading causes of illness, disability, and death in the United States.

Competition is limited to the 20 institutions approved for funding under CDC RFA-DP-24-004 as CDC Prevention Research Centers (PRCs). The institutions currently approved for funding are:
U48 DP006799 University of Arizona PI:  S. Carvajal

Limit: 1 // G. Yong (Eller College of Managemen)

Limit on Number of Proposals per Organization: An organization may submit one proposal per submission window. An organization must wait for a determination from NSF (e.g., Award, Decline, or Returned Without Review) on the pending proposal before submitting a new proposal in the next window. Declined proposals require a new invitation to submit (via the Concept Outline process) and significant revision, while proposals Returned Without Review may be submitted using the same invited Concept Outline (assuming that the proposal is received within one year of the original Concept Outline invitation).

The National Science Foundation and its partners support the continued growth of a broad and diverse interdisciplinary research community for the advancement of Artificial Intelligence (AI) and AI-powered innovation, providing a unique opportunity to broadly promote the NSF vision and core values, especially inclusion and collaboration. The National Artificial Intelligence Research Institutes program has established a national network of multisector flagship centers of AI research and workforce development that address a wide range of society's grand challenges through AI-powered innovation.

PROGRAM TRACKS

This program solicitation offers two Tracks corresponding to stages of readiness for partnerships in AI Institutes. These are “ExpandAI Capacity Building Pilots” and “ExpandAI Partnerships” as described below.

Track 1: ExpandAI Capacity Building Pilots

Capacity Building Pilots (CAP) are planning and growth efforts focused on the establishment of AI activities at the funded MSI and the early exploration of future synergistic partnerships that have the potential to be part of prospective ExpandAI Partnerships. Successful pilots will result in establishing new AI research capacity, education/workforce development in AI, and/or AI infrastructure capacity at the proposing institution and, potentially, a basis for future AI partnerships. CAP activities should plan for engaging appropriate communities to test the feasibility of partnerships as well as developing plans for continuing capacity development. Plans should consider required research infrastructure, plans to leverage established groups in related research areas, and inclusion of faculty training and research experiences that emphasize the diversification of investigators. 

Proposals must articulate a clear vision motivating the capacity building activities, with a focus on long-term benefits to the MSI such as enhanced faculty capacity for foundational and/or use-inspired AI research or new effective models for increased education and career pathways in AI. Proposals to this track must include a strong Institutional Need and Support Statement (see proposal preparation instructions) containing an assessment of the current AI research and instructional capacity and infrastructure, a demonstration of institutional need for capacity building in AI, and a statement of the commitment of institutional support for the proposed activities. Proposals that substantiate a strong case in this need and support statement are likely to be most compelling for the funding opportunity. Further guidance for this supporting document can be found in Proposal Preparation Instructions.

Successful proposals will feature a Capacity Building Plan that features clear and measurable outcomes/benefits of capacity building. Suitable activities for such a plan are:

• establishment or significant enhancement of foundational or use-inspired AI research, marked by increased faculty research output;
• design of academic pathways or innovative models for teaching and learning in AI, incorporating how students learn effectively in AI activities, and bringing AI disciplinary advances into the undergraduate and graduate experience;
• establishment or significant expansion of AI career pathways for students resulting from new AI activities;
• enhanced AI research infrastructure;
• significant increase in the participation of investigators and students who have been traditionally underserved and underrepresented in AI; and
• a plan for objective process evaluation in support of the proposed efforts.

Note that this list is representative of suitable activities and outcomes for this track. CAP activities need not be limited to this list, and proposals do not have to include every type of outcome represented in that list. Proposers are encouraged to select and integrate the activities most appropriate for their institutional context and their vision for capacity building toward partnerships. 

Early partnership development between the proposing MSI and one or more AI Institutes is neither required nor encouraged in a CAP proposal.

Track 2: ExpandAI Partnerships

The ExpandAI Partnership (PARTNER) track is an opportunity for MSIs to scale up already-established AI research and/or education programs and to initiate/leverage new collaborations with AI Institutes. These partnerships will be multi-organization collaborations submitted by an MSI and will include a subaward to an AI Institute. PARTNER projects are centered around shared, complementary goals. Proposals will be submitted as single-organizational collaborative proposals. PARTNER proposals may only be submitted by a qualifying MSI as indicated in Eligible Institutions in this solicitation. 

PARTNER proposals should scale up and make fully productive an appropriate existing capacity in AI research, education/workforce development, and/or infrastructure capacity. The proposing MSI in this track is not required to have previously been awarded a CAP project under this program. PARTNER proposals must constitute a significant new partnership that has the clear potential to build on the institution’s current AI capacity as well as leverage the intrinsic strengths and talents of the MSI for mutual benefit in collaborative AI activities.

MSIs applying for this track must demonstrate readiness to leverage external expertise and financial resources to focus on medium- and long-range plans to leverage this funding opportunity and new partnerships to develop AI capacity within the MSI, including but not limited to further development of the MSI’s envisioned methodological thrusts, use cases, educational and/or workforce development activities, and the potential for the MSI to expand and scale these efforts through formal, mutually beneficial partnerships. Proposals should include at least one (and if appropriate, more) established AI Institutes in developing a roadmap for collaborative work in some unifying theme or focus. 

PARTNER proposals must feature a compelling Partnership Roadmap for collaborative work in some unifying theme or focus. Roadmaps are the beginning of a joint strategy between organizations for collaborative work. These roadmaps may also include community building activities (e.g., workshops) to further develop common interests, objectives, and goals for the growth of collaborative activities. Effective roadmaps are both depicted visually (e.g., conceptual diagram, logic model, table, etc.) and fully explained by a descriptive narrative. The roadmap should address all proposed projects involving research, education/workforce development, infrastructure, and any other types that are applicable to the collaboration. Roadmaps might address:

• enhancement of existing projects by virtue of new collaboration;
• initiation of new projects made possible by the collaboration;
• community building activities (e.g., workshops) to further develop common interests, objectives, and further growth of the partnership;
• potential and plans for scaling nascent programs;
• an evaluation plan for measuring the growth and mutual benefit of activities in all projects.

No Applicants /// Limit: 1 // Tickets Available: 0

There won't be a submission for this program during the June deadline. 

Limit on Number of Proposals per Organization: An organization may submit one proposal per submission window. An organization must wait for a determination from NSF (e.g., Award, Decline, or Returned Without Review) on the pending proposal before submitting a new proposal in the next window. Declined proposals require a new invitation to submit (via the Concept Outline process) and significant revision, while proposals Returned Without Review may be submitted using the same invited Concept Outline (assuming that the proposal is received within one year of the original Concept Outline invitation).

The National Science Foundation and its partners support the continued growth of a broad and diverse interdisciplinary research community for the advancement of Artificial Intelligence (AI) and AI-powered innovation, providing a unique opportunity to broadly promote the NSF vision and core values, especially inclusion and collaboration. The National Artificial Intelligence Research Institutes program has established a national network of multisector flagship centers of AI research and workforce development that address a wide range of society's grand challenges through AI-powered innovation.

PROGRAM TRACKS

This program solicitation offers two Tracks corresponding to stages of readiness for partnerships in AI Institutes. These are “ExpandAI Capacity Building Pilots” and “ExpandAI Partnerships” as described below.

Track 1: ExpandAI Capacity Building Pilots

Capacity Building Pilots (CAP) are planning and growth efforts focused on the establishment of AI activities at the funded MSI and the early exploration of future synergistic partnerships that have the potential to be part of prospective ExpandAI Partnerships. Successful pilots will result in establishing new AI research capacity, education/workforce development in AI, and/or AI infrastructure capacity at the proposing institution and, potentially, a basis for future AI partnerships. CAP activities should plan for engaging appropriate communities to test the feasibility of partnerships as well as developing plans for continuing capacity development. Plans should consider required research infrastructure, plans to leverage established groups in related research areas, and inclusion of faculty training and research experiences that emphasize the diversification of investigators. 

Proposals must articulate a clear vision motivating the capacity building activities, with a focus on long-term benefits to the MSI such as enhanced faculty capacity for foundational and/or use-inspired AI research or new effective models for increased education and career pathways in AI. Proposals to this track must include a strong Institutional Need and Support Statement (see proposal preparation instructions) containing an assessment of the current AI research and instructional capacity and infrastructure, a demonstration of institutional need for capacity building in AI, and a statement of the commitment of institutional support for the proposed activities. Proposals that substantiate a strong case in this need and support statement are likely to be most compelling for the funding opportunity. Further guidance for this supporting document can be found in Proposal Preparation Instructions.

Successful proposals will feature a Capacity Building Plan that features clear and measurable outcomes/benefits of capacity building. Suitable activities for such a plan are:

• establishment or significant enhancement of foundational or use-inspired AI research, marked by increased faculty research output;
• design of academic pathways or innovative models for teaching and learning in AI, incorporating how students learn effectively in AI activities, and bringing AI disciplinary advances into the undergraduate and graduate experience;
• establishment or significant expansion of AI career pathways for students resulting from new AI activities;
• enhanced AI research infrastructure;
• significant increase in the participation of investigators and students who have been traditionally underserved and underrepresented in AI; and
• a plan for objective process evaluation in support of the proposed efforts.

Note that this list is representative of suitable activities and outcomes for this track. CAP activities need not be limited to this list, and proposals do not have to include every type of outcome represented in that list. Proposers are encouraged to select and integrate the activities most appropriate for their institutional context and their vision for capacity building toward partnerships. 

Early partnership development between the proposing MSI and one or more AI Institutes is neither required nor encouraged in a CAP proposal.

Track 2: ExpandAI Partnerships

The ExpandAI Partnership (PARTNER) track is an opportunity for MSIs to scale up already-established AI research and/or education programs and to initiate/leverage new collaborations with AI Institutes. These partnerships will be multi-organization collaborations submitted by an MSI and will include a subaward to an AI Institute. PARTNER projects are centered around shared, complementary goals. Proposals will be submitted as single-organizational collaborative proposals. PARTNER proposals may only be submitted by a qualifying MSI as indicated in Eligible Institutions in this solicitation. 

PARTNER proposals should scale up and make fully productive an appropriate existing capacity in AI research, education/workforce development, and/or infrastructure capacity. The proposing MSI in this track is not required to have previously been awarded a CAP project under this program. PARTNER proposals must constitute a significant new partnership that has the clear potential to build on the institution’s current AI capacity as well as leverage the intrinsic strengths and talents of the MSI for mutual benefit in collaborative AI activities.

MSIs applying for this track must demonstrate readiness to leverage external expertise and financial resources to focus on medium- and long-range plans to leverage this funding opportunity and new partnerships to develop AI capacity within the MSI, including but not limited to further development of the MSI’s envisioned methodological thrusts, use cases, educational and/or workforce development activities, and the potential for the MSI to expand and scale these efforts through formal, mutually beneficial partnerships. Proposals should include at least one (and if appropriate, more) established AI Institutes in developing a roadmap for collaborative work in some unifying theme or focus. 

PARTNER proposals must feature a compelling Partnership Roadmap for collaborative work in some unifying theme or focus. Roadmaps are the beginning of a joint strategy between organizations for collaborative work. These roadmaps may also include community building activities (e.g., workshops) to further develop common interests, objectives, and goals for the growth of collaborative activities. Effective roadmaps are both depicted visually (e.g., conceptual diagram, logic model, table, etc.) and fully explained by a descriptive narrative. The roadmap should address all proposed projects involving research, education/workforce development, infrastructure, and any other types that are applicable to the collaboration. Roadmaps might address:

• enhancement of existing projects by virtue of new collaboration;
• initiation of new projects made possible by the collaboration;
• community building activities (e.g., workshops) to further develop common interests, objectives, and further growth of the partnership;
• potential and plans for scaling nascent programs;
• an evaluation plan for measuring the growth and mutual benefit of activities in all projects.

No Applicants // Limit: 1 // Tickets Available: 1 

 Multiple applications from an organization are not allowed. 

This notice announces the opportunity to apply for funding under the Maternal Health Training and Resource Center (MHTRC) program. The purpose of this program is to support MCHB’s maternal health recipients, with a primary focus on the State Maternal Health Innovation (State MHI) program, to improve maternal health and to respond to the needs of populations impacted by maternal mortality and severe maternal morbidity (SMM). The MHTRC will also provide limited support to MCHB’s maternal health recipients with the implementation of maternal health projects, innovations, and initiatives in their respective states, where funds are available.

The goals of the MHTRC are to improve maternal health by:

• Providing tailored technical assistance (TA), capacity-building assistance (CBA), and evaluation support services to recipients of MCHB’s maternal health programs to aid awardees in addressing the needs of maternal health for populations disproportionately impacted by maternal mortality and severe maternal morbidity (SMM).

• Establishing a national resource center that provides evidence-based strategies and guidance to improve maternal health, reduce maternal mortality and SMM, and advance health equity at the individual, interpersonal, community, and societal levels.

We estimate approximately $3,000,000 to be available annually to fund one recipient. You may apply for a ceiling amount of up to $3,000,000 annually (reflecting direct and indirect costs). The period of performance is September 30, 2024, through September 29, 2029 (5 years).

No Applicants   //  Limit: 1 // Tickets Available: 1 

Only one application per institution (normally identified by having a unique entity identifier (UEI) or NIH IPF number) is 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 NOFO will support educational activities with a primary focus on:

• Courses for Skills Development

This R25 program will support the development and implementation of short courses to prepare nurse scientists, and scientists in aligned fields, to conduct firearm injury prevention research in support of the NINR Strategic Plan (https://www.ninr.nih.gov/aboutninr/ninr-mission-and-strategic-plan). Applications for courses that build on the existing knowledge, approaches, methods, and techniques related to injury prevention to advance research specifically in the area of firearm injury are encouraged. Proposed courses should include content related to inequities in firearm injuries (e.g., race, ethnicity, socioeconomic position, gender, geography, and their intersections) and research at the individual, community, institutional, and structural levels.

This NOFO requires a Plan for Enhancing Diverse Perspectives (PEDP), which will be assessed as part of the scientific and technical peer review evaluation. Applications that fail to include a PEDP will be considered incomplete and will be withdrawn.

Applicants are strongly encouraged to read the NOFO instructions carefully and view the available PEDP guidance material.

Budgets are limited to $200,000 direct costs per year and need to reflect the actual needs of the proposed project.

The scope of the proposed project should determine the project period. The maximum project period is three (3) years

Limit: 3 // Tickets Available: 2

N. Rengaswamy (Electrical and Computer Engineering)

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.

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.

Applications should:

• Choose generalizable application-inspired target problems;
• Develop algorithms for optimized math kernels and math primitives for selected current (NISQ) and future quantum systems that significantly advance state-of-the-art performance for the selected target problems;
• Adapt, if needed, any level of the software stack for the specific target problems; and
• Estimate quantum resources by employing important complementary metrics, including energy-to-solution.

Verification protocols and tools are important for both Topic 1 and Topic 2 and should be discussed in the application.Applicants must choose and specify Topic 1 or Topic 2 as the focus of their application. In the choice of Topic 1 or 2, proposed research is encouraged to consider multiple metrics, such as qubit count, gate fidelity, and qubit connectivity.

The ceiling and floor specified below are for total costs, both direct and indirect costs.

Ceiling

$3,000,000 per year

Applications requesting more than this amount of support may be declined without further review.

Floor

$250,000 per year

Applications requesting less than this amount of support may be declined without further review.

No Applicants // Limit: 1 // Tickets Available: 1 

The purpose of this notice of funding opportunity (NOFO) is to support enhanced surveillance and applied research for influenza virus or other respiratory infections in humans and animals in China. This support aims to better define the global risk and to build the evidence for prevention and control of novel and seasonal avian and non-avian seasonal influenza viruses and other respiratory diseases in China. The scope of research performed will include, but will not be limited to, activities such as estimating the burden and cost of illness for groups at high risk for severe disease; monitoring vaccine uptake and efficacy; promoting vaccine programs for groups at high risk for severe influenza complications; and conducting surveillance for detection and control of novel and seasonal influenza viruses and other respiratory pathogens. Research activities for the prevention and control of novel and seasonal influenza viruses and other respiratory pathogens and pandemic preparedness activities will be aimed at preventing and controlling the spread and transmission within China and potentially to other countries, including the United States. Continued monitoring, detection, and reporting of these influenza viruses and other respiratory pathogens in China will advance global health efforts. These activities will assist to inform global health infection control policies and prevent and control seasonal epidemic and pandemic influenza in countries around the world. This NOFO provides an opportunity to conduct research in these important areas.