Completed

No Applicants // Limit: 2 // Tickets Available: 2 

An applicant/institution may submit no more than two (2) applications in response to this announcement.

The U.S. Nuclear Regulatory Commission (NRC) is an independent agency, established by the Atomic Energy Act of 1954, as amended, tasked with licensing, and regulating the Nation’s civilian use of byproduct, source, and special nuclear material to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment.

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 financial assistance with respect to research, development, demonstration, and commercial application of new and advanced nuclear technologies. New this year, nontechnical 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).

Award of these grants is contingent upon the availability of funds. The estimated budget for this program is $6,000,000.00. The NRC anticipates that there maybe up to twelve (12) grants awarded as a result of this NOFO. The number of awards depends on the number, quality, duration, and costs of the applications received.

This is a three (3)-year program. Research and development funds may be requested up to $500,000.00 total costs (direct costs and facilities and administrative costs) for the project period.

 Limit: 15* // Tickets Available: 10

PO Confirmed DOE will accept 15 applications, 3 for each of the 5 research areas.

L. Xuan ( Computer science) - Research Area 2: AI Innovations for Scientific Knowledge Synthesis and Software Development
M. Chertkov (Pharmacy) - Research area 3: AI Innovations for Computational Decision Support of Complex Systems. 
R. Tandon (Electrical & Computer Engineering) // Subaward Lawrence Berkeley National Lab - Research Area 4: Federated and privacy-preserving for foundation and other AI models for science.
S. Salehi (Electrical and Computer Engineering) - Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures. 
M. Krunz (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.
T. Adegbija (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.

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.

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

No pre-proposals were received in the internal competition.

The Research Infrastructure for the Social and Behavioral Sciences Program (RISBS) invites investigators who possess the theoretical, methodological, measurement and managerial skills, as well as organizational resources, to undertake a large-scale survey data collection project to submit proposals to conduct the General Social Survey (GSS) and the International Social Survey Program (ISSP) United States surveys.

No Applicants // Limit: one postdoctoral applicant per lab

The Predoctoral Fellowship in Drug Discovery Targets and Pathways provides support for promising students in advanced stages of training and thesis research in drug discovery research.

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 PhRMA Foundation seeks to fund novel early-stage, exploratory drug discovery research with the potential for translation to humans, including biological validation of potential drug targets, signaling pathways, or mechanisms of disease. 

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.

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.