Mathematics, Computational, & Data Sciences

T. Sawyer (Biomedical Engineering)

The selection process and submission of this funding program are coordinated by the University of Arizona Cancer Center (UACC). For any other questions, please contact UACC Research Development (UACC-PreAward@arizona.edu)

The University of Arizona Cancer Center (UACC) can nominate one applicant for the 2024 Pew-Stewart Scholars Program for Cancer Research which supports assistant professors of outstanding promise in science relevant to the advancement of a cure for cancer.

Purpose of Award:

In line with The Alexander and Margaret Stewart Trust’s mission to invest in innovative, cutting-edge cancer research that may accelerate and advance progress toward a cure for cancer, applications are invited from nominees conducting cancer research. This program is distinct from the Pew Scholars Program, and it follows a different, but parallel set of guidelines and procedures for nominating an applicant whose research is related to cancer.

This program does not fund clinical trials research. Strong proposals will incorporate particularly creative and pioneering approaches to basic, translational, and applied cancer research. Candidates whose work is based on biomedical principles but who bring in concepts and theories from more diverse fields are encouraged to apply. Ideas with the potential to produce an unusually high impact are encouraged.

Selection of the successful candidates will be based on a detailed description of the work that the applicant proposes to undertake, evaluations of the candidate’s performance, and notable past accomplishments, including honors, awards, and publications. In evaluating the candidates, the National Advisory Committee gives considerable weight to both the project proposal and the researcher, including evidence that the candidate is a successful independent investigator and has the skill set needed to carry out their high-impact proposal.

Award Terms

An award of $75,000 per year for four years ($300,000 total) will be provided to the sponsoring institution for use by the Pew-Stewart scholar, subject to annual review of his or her progress. Grant agreements will be issued in August of the award year. Funding from the NIH, other government sources, and project grants from nonprofit associations do not pose a conflict with the Pew-Stewart program.

It is expected that Pew-Stewart scholars will spend at least 80 percent of their time in work or activities related to the accomplishment of their overall research goals (which are not restricted to the specific aims proposed for this award). However, Pew provides flexible support to the general research aims of the Pew-Stewart scholar and does not require effort reporting.

The awarded funds may be used at the discretion of the Pew-Stewart scholar, for personnel, equipment, supplies, or travel directly related to the Pew-Stewart scholar's research and as to best advance his or her research and career. Specifically:

• The amount of the award that may be used for the principal investigator’s salary is limited to $12,500 per year (including benefits) or $50,000 over the duration of the grant. There are no limits on student or postdoctoral salaries.
• Not more than 8 percent ($24,000) of the total award value may be allocated for facilities and administration (F&A) charges or indirect costs (IDCs).
• Should the funds not be immediately required, they may be accumulated and carried over through the grant period and, with written approval of the program office, the grant may receive a no-cost extension for one additional year (without additional funds).
• Subawards are allowed.

Funding from the NIH, other government sources, and project grants from nonprofit associations do not pose a conflict with the Pew-Stewart program. If you have questions concerning eligibility, please contact Kara Coleman, project director, Pew Biomedical Programs at 215-575-4925 or Pew-Stewart@pewtrusts.org in advance of applying.

Applicant Eligibility:

Candidates must meet all of the following eligibility requirements:

K. Sierra-Cajas (Undergraduate Research and Inquiry)

The new Beginning for Tribal Students program (NBTS) makes competitive grants to Land-grant Colleges and Universities to provide identifiable support specifically targeted for tribal students. A Land-grant College or University that receives this grant shall use funds for, but not limited to, recruiting; tuition and related fees; experiential learning; student services, including tutoring; counseling; academic advising; and other student services that would increase the retention and graduation rate of tribal students enrolled at the land-grant college or university. The maximum one state can receive is $500,000 per year. 

• C. Roman Palacios  (School of Information)
• R. Schomer (Plant Sciences)
• S. Sullivan (Chemical & Environmental Engineering)
• J.Green (Environmental Science)
• A. Mallik (Geosciences)
• M. Taylor (Chemistry & Biochemistry)

UA may submit up to three candidates per eligible department. Please note the Department of Astronomy will hold its internal competition. Please contact the department head for more information.

The Sloan Research Fellowships seek to stimulate fundamental research by early-career scientists and scholars of outstanding promise. These $75,000, two-year fellowships are awarded to researchers in recognition of distinguished performance and a unique potential to make substantial contributions to their field. Successful candidates for a Fellowship generally have a strong record of significant independent research accomplishments that demonstrate creativity and the potential to become future leaders in the scientific community.

Eligibility:

• Candidates must hold a Ph.D. or equivalent degree in chemistry, computer science, Earth system science, economics, mathematics, neuroscience, physics, or a related field.
• Candidates must be tenure-track, though untenured, as of September 15, 2023.
• Candidate’s faculty position must carry a regular teaching obligation.

In keeping with the Alfred P. Sloan Foundation's longstanding support of underrepresented minorities in the sciences, the Foundation strongly encourages the nomination of qualified women and minority candidates.

1. H.J. Kim (Civil Engineering-Engineering Mechanics)
2. M. Tfail (Environmental Science) 
3. M. Chertkov (Applied Mathematics)

UA may submit three pre-proposals to this funding program.
 

Applications must focus on addressing basic research challenges motivated by the Energy Earthshots listed above. The scope of the Energy Earthshots are described below. This FOA is a collaborative effort across three SC research programs: Advanced Scientific Computing Research, Basic Energy Sciences, and Biological and Environmental Research. Program descriptions follow below. Multi-disciplinary applications are encouraged, addressing more than one SC research program. Additionally, the following common considerations apply to all Energy Earthshots:

Applicants should consider how innovative high-performance and scientific-computing techniques can contribute to advancing the goals of the proposed research. Applicants should also leverage the applications and software technologies developed by DOE’s Exascale Computing Project (ECP)10 to make use of computing at all scales. Applicants should also consider how to leverage data, software, models, and other information from recent and concurrent activities, including those funded by SC, other DOE departmental elements, and other agencies. SC resources include, but are not limited to, those with the Public Reusable Research (PuRe) Data designation11. Applicants are encouraged to consult the references posted on each Energy Earthshot’s webpage for information on other potentially-leverageable resources. 

R. Hossein ( Aerospace-Mechanical Engineering)

NIOSH organizes its research program under the framework of the National Occupational Research Agenda (NORA). NORA is a partnership program to stimulate innovative research and improved workplace practices. Unveiled in 1996, NORA entered its third decade (2016-2026) with an enhanced structure. It now consists of ten industry sectors based on major areas of the U.S. economy, and seven health and safety cross-sectors organized according to the major health and safety issues affecting the U.S. working population. The national agenda is developed and implemented through the NORA Sector and Cross-Sector Councils. Each council develops and maintains an Agenda for its sector or cross-sector. The collection of agendascomprises the agenda for the nation for improvements in occupational safety and health. The agenda also provides a vehicle for stakeholders to describe the most relevant safety and health issues, research gaps, and needs.

Protecting the health and safety of mine workers by preventing diseases, injuries, and fatalities is a NIOSH priority, along with making certain that workers are qualified, trained, and properly equipped. The NORA Mining Agenda was developed and implemented through NORA Sector Councils and is guidance for the nation as a whole, while the 2019-2023  Mining Program Strategic Plan is specific to NIOSH and its capabilities and resources. 
 

The NIOSH Mining Program has established three overarching strategic goals for this plan:

Strategic Goal 1: Reduce mine workers’ risk of occupational illness

Strategic Goal 2: Reduce mine workers’ risk of traumatic injuries and fatalities

Strategic Goal 3: Reduce the risk of mine disasters and improve post-disaster survivability of mine workers.

This is a collaborative grant and applicants should outline their expected interactions with NIOSH researchers and subject matter experts.

Objectives

The objective of this cooperative agreement is to address research initiatives in automation, robotics, and intelligent mining systems to improve workplace safety and health in U.S. mining operations. 

The impact of research conducted by recipients should focus on advances in assured autonomy, i.e., assuring autonomous mining equipment and robotics achieve improved workplace safety and health for mine workers while meeting efficiency and productivity goals.

Interactions with mining stakeholders have shown that the U.S. industry is lagging behind other parts of the world in the implementation of automation technologies due to a lack of guidance in implementing new technology, questions about technology readiness, a lack of guidance and tools for effectively dealing with the migration from human-operated equipment to autonomous equipment, and concerns about the potential unsafe interactions between autonomous equipment and workers. Impacts could include but are not limited to:

Applicants are encouraged to consider those aspects of their graduate degree program in mining and explosives engineering, including unique facilities, that could best support their proposed research related to automation, robotics, and intelligent mining systems.

Clearly state your proposed goals and objectives, and directly link these to the occupational health and safety burdens you are addressing.

Provide data to support your selection of the proposed work, such as morbidity or mortality rates and indicators of the size of the population at risk (including estimates of the target population’s potential risk of exposure to the hazard, frequency of exposure, or sociodemographic factors such as age, gender, and race/ethnicity). Similarly, provide qualitative data that describe exposures, the magnitude of the problem, and potential benefits and impacts of addressing the issue. Qualitative data may be necessary when the nature of the exposure or population at risk makes it difficult to collect large-scale, representative quantitative data.

1. • Advances in and implementation of human-centered design principles for automated equipment and the systems used to monitor or interact with them.
   • New methods, guidance, and best practices in change management, training/retraining workers, technology integration, and safety evaluation.
   • New methods and evaluation techniques for safe design that consider the entire mining operation as a system.
   • Advances and availability of enabling technologies for assured autonomy including sensors, data fusion and processing, artificial intelligence, and systems for improved machine and operator situational awareness.
   • Availability of new miner rescue and post-disaster surveillance technologies.

No applicants // Limit: 2 // Tickets Available: 2 

UArizona may submit no more than two (2) applications in response to this announcement.

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, non-technical 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).

The estimated budget for this program is $6,000,000.00 for a project period of three years. 

Areas of interest include, but are not limited to:

• Application of wireless communications, drones, robotics, and autonomous control in operations and maintenance activities;

• Digital engineering/analytics, advanced sensors, and digital instrumentation/controls at nuclear facilities;

• Evaluation of technical gaps and major uncertainties in assessing risk for operating, new and advanced reactors (e.g., modeling of complex dependencies, advanced calculation techniques, multi-unit and multi-moule risk, application of risk techniques to radiological consequence analysis, development of improved risk metrics);

• Human and organizational factors and human reliability analysis for advanced nuclear applications, (e.g., improved models for dependency, consideration of organizational factors, dynamic methods, and risk analysis).

• Characterization of fire hazards in new reactor designs (e.g., sodium) and post-fire safe shutdown capability;

• Characterization of natural hazards including but not limited to flooding, high winds, hurricanes, wildfires, climate change;

• Analysis models and methods for fuel and cladding performance;

• Advanced technology approaches (e.g., data and text analytics, data visualization techniques, and artificial intelligence) and applications (e.g., data mining, autonomous control) in nuclear power-related applications; Evaluation of the radiological releases and offsite consequences for fusion reactor accidents;

• Application of innovative and advanced technologies for decommissioning and remediation of radiologically contaminated sites;

• Evaluation of the technical gaps and uncertainties in licensing new veterinary and medical uses of byproduct materials;

• Analytical approaches that combine probabilistic risk assessment (PRA) risk quantification methods with reactor systems sensitivity or uncertainty analysis methods to quantify the risk significance of safety analysis errors or uncertainties; Performance-based technology-neutral safety assurance;

• Evaluation of technical gaps and major uncertainties in assessing risk for decommissioning and waste management; and

• Comparative analysis, consistencies, and harmonization in application of dosimetry and dose coefficients

J. Van Haren (Biosphere 2)

Mid-scale RI-2 is an NSF-wide competitive program that addresses scientific demand for research infrastructure in the $20 million -$100 million cost range for implementation. Mid-scale RI-2 is intended to support visionary projects that are high-priority national needs as identified by research communities of the United States, rather than projects primarily serving regional, campus or local interests. Solving the most pressing scientific and societal problems of the day – such as those called out in National Academies reports and decadal surveys, identified through research community planning and prioritizing exercises or other emerging national priorities – using new technologies, techniques, and concepts is encouraged in this competition. The scientific justification should demonstrate how the proposed research infrastructure provides potentially transformative research capability or access relative to what is currently available to the general U.S. research community. Investigators whose preliminary proposals are for capabilities similar to those currently available to the U.S. research community are unlikely to be invited to submit full proposals. All proposals should show the project's value and benefit to the U.S. science community.

Proposals for research infrastructure that is part of a larger project must clearly state the impact of the proposed infrastructure on the project, whether and how any specific part(s) of the infrastructure would be identified with NSF, and the benefit to the U.S. research communities that NSF supports.

The Total Project Cost (TPC) submitted to NSF for implementation must be at least $20 million but less than $100 million. Mandatory cost analyses will be conducted on proposals considered for award and will need to demonstrate a high probability that the project can be completed in less than $100 million. Projects whose most likely risk-adjusted costs are found to exceed this threshold, as determined via the NSF cost analysis, will not be considered for funding from the Mid-scale RI-2 Program. NSF will utilize independent cost estimate reviews (in some cases performed by contractors or other government agencies) to inform the cost analysis.

PIs are reminded of the GAO cost escalation and uncertainly requirements as outlined in the RIG (Section 4.2.2.3). Besides the award duration, careful consideration should also be given to the 2-year cycle of the Mid-scale RI-2 Program, from solicitation publication to eventual award decision, and its potential impact on the anticipated total project cost. Thus, proposed budgets should carefully consider validity of quotes, market forces, escalation (including inflation), and other potential influencing factors that could push the risk-adjusted total project cost above the programmatic threshold.

If a PI finds, while developing the project budget, that the total project cost could reasonably exceed the upper limit of the Mid-scale RI-2 Program, they should consult with the cognizant Program Officer about other potential options.

NSF defines Research Infrastructure (RI) as any combination of facilities, equipment, instrumentation, or computational hardware or software, and the necessary human capital in support of the same. Major facilities and mid-scale projects are subsets of research infrastructure. The NSF Mid-scale RI-2 Program supports the implementation of unique and compelling RI projects at a national scale. Mid-scale RI-2 projects may include any combination of equipment, instrumentation, cyberinfrastructure, broadly used large-scale data sets, and the commissioning and/or personnel needed to successfully complete the project. Mid-scale RI-2 projects should fill a research community-defined scientific need or national research priority that enables current and next-generation U.S. researchers and a diverse STEM workforce to remain competitive in the global research environment. Mid-scale RI-2 investments are expected to demonstrate high potential to significantly advance the Nation's research capabilities. Mid-scale RI-2 projects will directly enable advances in any of the research domains supported by NSF, including STEM education research. Projects may also include upgrades to existing research infrastructure.

Mid-scale RI-2 is intended to support the implementation stage of a wide variety of RI projects. Mid-scale RI-2 therefore uses an inclusive definition of implementation, which can include traditional stand-alone construction or acquisition as well as a degree of final development for infrastructure and equipment projects. For example, it could include a spiral development step leading to the acquisition of a larger system for cyberinfrastructure or other shared community research capability.

No applicants // Limit: 1 // Tickets Available: 1 

Brain Research Foundation is inviting UArizona to nominate one senior faculty member to submit a Letter of Intent for the 2023 Scientific Innovations Award (SIA). The objective of the program is to support projects that may be too innovative and speculative for traditional funding sources but still have a high likelihood of producing important findings. It is expected that investigations supported by these grants will yield high impact findings and result in major grant applications and funding as well as significant publications in high impact journals.

To be eligible, the nominee must be a full-time associate professor/full professor working in the area of neuroscience and brain function in health and disease. Current major NIH or other peer-reviewed funding is preferred but evidence of such funding in the past three years is essential. The grant period is for two years totaling $150,000. The support focus is for new research projects of the highest scientific merit. 

Brain Research Foundation’s Scientific Innovations Award Program provides funding for innovative science in both basic and clinical neuroscience. This funding mechanism is designed to support creative, exploratory, cutting edge research in well-established research laboratories, under the direction of established investigators.

The objective of the SIA is to support projects that may be too innovative and speculative for traditional funding sources but still have a high likelihood of producing important findings. It is expected that investigations supported by these grants will yield high impact findings and result in major grant applications and significant publications in high impact journals.

Funding Preferences:

• Funding is to be directed at projects that may be too innovative and speculative for traditional funding sources but still have a high likelihood of producing important findings. This should be a unique project for senior investigators who are encouraged to stretch their imagination into areas that can substantially change an area of research.
• Funding of research projects that will likely lead to successful grant applications with NIH and other public and private funding entities.

• G. Sutphin (Molecular and Cellular Biology)  - Medical Research Track
• The physical Sciences and Engineering slot is available

UA may submit one concept paper in Physical Sciences and Engineering and one concept paper in Medical Sciences in this cycle.
The selected projects must participate in the concept counseling session with the W.M. Keck Foundation between July 1 and August 15 to determine if they can proceed to the Phase I submission.

The W.M. Keck Foundation Research Program uses a three-step process for this opportunity. The first step is a Concept paper. The Undergraduate Education program is currently not accepting concept papers. The next steps are by the foundation’s invitation. UArizona review criteria reflect previous interactions with the W.M. Keck Foundation. Proposals should focus on basic, fundamental science with broad applications.

The proposed work should show a significant leap forward rather than an extension of existing work.  

To be considered by Keck, applicants must have a statement from a federal program officer expressing that the project is not a good fit due to risk (rather than technical or theoretical fit) or a decline from a federal program where the summary statement or individual reviews highlight the incredible novelty, but the high-risk nature that makes it difficult to fund at the federal level.

Limit: 4*  // PIs selected: 

Track 1:

• J. Pyun (Chemistry and Biochemistry)
• D. Sand  (Astronomy)

Track 2:

• J. Schaibley ( Physics)
   

Track 3:

• J. Dai (Chemistry and Biochemistry)

*Number of proposals allowed per organization: Four.

• No more than two submissions in Track 1 (Track 1 MRI proposals are those that request funds from NSF greater than or equal to $100,000 and less than $1,400,000).
• No more than one submission in Track 2 (Track 2 MRI proposals are those that request funds from NSF greater than or equal to $1,400,000 up to and including $4,000,000). 
• Track 3: Track 3 MRI proposals are those that request funds from NSF greater than or equal to $100,0001 and less than or equal to $4,000,000 that include the purchase, installation, operation, and maintenance of equipment and instrumentation to conserve or reduce the consumption of helium. Institutions may submit no more than one Track 3 proposal. Submission of a Track 3 proposal does not impact limits that apply for Track 1 and Track 2 proposals.

The Major Research Instrumentation (MRI) Program (MRI Program Website) serves to increase access to multi-user scientific and engineering instrumentation for research and research training in our Nation's institutions of higher education and not-for-profit scientific/engineering research organizations. An MRI award supports the acquisition of a multi-user research instrument that is commercially available through direct purchase from a vendor, or for the personnel costs and equipment that are required for the development of an instrument with new capabilities, thereby advancing instrumentation capabilities and enhancing expertise for instrument design and fabrication at academic institutions. MRI instruments are, in general, too costly and/or not appropriate for support through other NSF programs.

MRI provides support to acquire critical research instrumentation without which advances in fundamental science and engineering research may not otherwise occur. MRI also provides support to obtain next-generation research instruments by developing instruments with new capabilities that open new opportunities to advance the frontiers in science and engineering research. Additionally, an MRI award is expected to enhance research training of students who will become the next generation of instrument users, designers and builders.

An MRI proposal may request from NSF up to $4 million for either acquisition or development of a research instrument. Each performing organization may submit in revised "Tracks" as defined below, with no more than two (2) submissions in Track 1 and no more than one (1) submission in Track 2. For the newly defined Track 3, no more than one (1) submission per competition is permitted.  As a result, it is now possible for an institution to submit up to four MRI proposals within the Track limits as described above.

• Track 1: Track 1 MRI proposals are those that request funds from NSF greater than $100,000[1] and less than $1,400,000.
• Track 2: Track 2 MRI proposals are those that request funds from NSF greater than or equal to $1,400,000 up to and including $4,000,000.
• Track 3: Track 3 MRI proposals are those that request funds from NSF greater than or equal to $100,000[1] and less than or equal to $4,000,000 that include the purchase, installation, operation, and maintenance of equipment and instrumentation to conserve or reduce the consumption of helium. Track 3 is an institutionally coordinated submission and won't be part of the internal competition.

  Institutions may submit no more than one Track 3 proposal. Submission of a Track 3 proposal does not impact limits that apply for Track 1 and Track 2 proposals.

Cost sharing requirements for new awards in the MRI Program are waived for a period of 5 years beginning with the FY 2023 MRI competition. Institutional submission limits for Track 1, Track 2 and Track 3 proposals remain.

The MRI Program especially seeks broad representation of groups, institutions, and geographic regions that are underrepresented in STEM disciplines. Proposals from women, underrepresented minorities, persons with disabilities and early-career PIs are encouraged, as are proposals that benefit early-career researchers and proposals with PIs from geographically underserved regions, including EPSCoR jurisdictions. Additionally, proposals are encouraged from under-resourced institutions, including from emerging research institutions, where MRI can significantly build capacity for research