Opportunity Information: Apply for RFA CA 23 014
The National Institutes of Health, through the National Cancer Institute (NCI) Informatics Technology for Cancer Research (ITCR) Program, released this Funding Opportunity Announcement (RFA-CA-23-014) to support exploratory and developmental projects that create genuinely new informatics methods and algorithms for cancer research and cancer care-related research. It uses the R21 grant mechanism (clinical trial optional) and is meant for early-stage, high-risk, high-reward work that can open up new technical directions rather than incrementally extending existing tools.
The central goal is to fund innovative computational approaches that improve how cancer-related data are acquired, analyzed, visualized, or interpreted across the full cancer research continuum. That scope is intentionally broad and can include, for example, cancer biology and mechanisms, diagnosis and treatment, early detection, risk assessment and prevention, cancer control and epidemiology, and research addressing cancer health disparities. In practical terms, applicants are expected to propose new informatics capabilities that could speed up discovery, make analyses more reliable or scalable, enable new types of measurements or integration across data types, or improve interpretability and usability for researchers and clinicians.
A key requirement is that the novelty must be in the informatics method or algorithm itself. The FOA is explicit that proposals are not responsive if they mainly apply existing methods and claim innovation primarily in the biological or clinical question being studied. In other words, the review focus is on whether the project advances the state of the art in cancer informatics (new algorithms, new computational frameworks, new data integration or visualization paradigms, new approaches to learning from complex cancer data, etc.), and whether there is a clear, well-argued rationale for why that technical innovation will benefit the broader cancer research community.
The award information provided in the source indicates an award ceiling of $275,000 (as listed), with an original closing date of 2023-11-17, and a creation date of 2022-12-22. The funding instrument is a grant, categorized under education and health-related activities, and it is associated with CFDA numbers 93.393, 93.394, 93.395, 93.396, and 93.399.
Eligibility is broad and includes many types of U.S. organizations and institutions, such as state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status; for-profit organizations (other than small businesses); small businesses; and other entities. The FOA also explicitly highlights additional eligible applicants, including Alaska Native and Native Hawaiian Serving Institutions, AANAPISIs, Hispanic-serving institutions, HBCUs, Tribally Controlled Colleges and Universities, faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and non-U.S. entities (foreign organizations). This wide eligibility reflects an intent to draw strong technical ideas from a diverse set of settings, including institutions working closely with communities affected by cancer disparities.
Overall, this opportunity is best suited for teams that can clearly articulate a technical gap in current cancer informatics, propose an original method or algorithm to fill that gap, and explain how the resulting capability could accelerate or enhance cancer research broadly. The most competitive applications under this FOA are likely to be those that treat the cancer use case as a proving ground for a new informatics advance, rather than treating informatics as a supporting tool for a primarily biological or clinical study.Apply for RFA CA 23 014
- The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21 Clinical Trial Optional)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.393, 93.394, 93.395, 93.396, 93.399.
- This funding opportunity was created on 2022-12-22.
- Applicants must submit their applications by 2023-11-17. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $275,000.00 in funding.
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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FAQs: NCI ITCR Exploratory/Developmental Cancer Informatics Methods (RFA-CA-23-014, R21)
What is this funding opportunity (RFA-CA-23-014) trying to support?
This Funding Opportunity Announcement from the National Institutes of Health (NIH), through the National Cancer Institute (NCI) Informatics Technology for Cancer Research (ITCR) Program, supports exploratory and developmental projects that create genuinely new informatics methods and algorithms for cancer research and cancer care-related research. The emphasis is on early-stage, high-risk, high-reward technical work that can open up new directions in cancer informatics rather than incrementally extending existing tools.
What grant mechanism does this FOA use?
This opportunity uses the R21 grant mechanism, with clinical trial optional.
What kinds of projects are a good fit for this FOA?
Projects are a good fit when the core deliverable is a novel informatics method or algorithm that improves how cancer-related data are acquired, analyzed, visualized, or interpreted. Strong matches include new algorithms, computational frameworks, data integration approaches, visualization paradigms, or new ways to learn from complex cancer data that could benefit the broader cancer research community.
What is the central goal of the program?
The central goal is to fund innovative computational approaches that improve the handling and understanding of cancer-related data across the full cancer research continuum, including acquisition, analysis, visualization, and interpretation.
How broad is the scientific scope for cancer topics?
The scope is intentionally broad and can span the full cancer research continuum. Examples mentioned include cancer biology and mechanisms, diagnosis and treatment, early detection, risk assessment and prevention, cancer control and epidemiology, and research addressing cancer health disparities.
What does the FOA mean by "novelty" and where must it be?
The FOA requires that novelty be in the informatics method or algorithm itself. Reviewers are expected to focus on whether the project advances the state of the art in cancer informatics (for example, new algorithms, new computational frameworks, new data integration or visualization paradigms, or new approaches to learning from complex cancer data).
What types of applications are considered non-responsive?
Applications are not responsive if they mainly apply existing informatics methods and claim innovation primarily in the biological or clinical question being studied. In other words, proposals where informatics is largely a supporting tool for a primarily biological or clinical study (without a true informatics advance) are not aligned with the FOA.
Is incremental improvement of an existing tool enough?
This FOA is intended for early-stage, high-risk, high-reward work that opens new technical directions, not incremental extensions of existing tools. The strongest alignment is when the project proposes a genuinely new method or algorithm.
What kinds of benefits should applicants argue their approach will provide?
Applicants are expected to propose new informatics capabilities that could speed up discovery, make analyses more reliable or scalable, enable new types of measurements or integration across data types, or improve interpretability and usability for researchers and clinicians.
Is this opportunity limited to basic research, or can it include cancer care-related research?
It can include both cancer research and cancer care-related research, as long as the project centers on a novel informatics method or algorithm.
Does this FOA require a specific cancer use case?
The FOA emphasizes that the cancer use case should function as a proving ground for a new informatics advance. The most competitive applications are likely to treat the cancer use case as a demonstration of a broadly useful informatics innovation rather than as the primary source of novelty.
Who is eligible to apply?
Eligibility is broad and includes many types of U.S. organizations and institutions, including state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; other tribal organizations; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status; for-profit organizations (other than small businesses); small businesses; and other entities.
Are foreign (non-U.S.) organizations eligible?
Yes. The FOA explicitly includes non-U.S. entities (foreign organizations) among eligible applicants.
Are U.S. territories or possessions eligible?
Yes. The FOA explicitly lists U.S. territories or possessions among eligible applicants.
Does the FOA highlight any institution types as additional eligible applicants?
Yes. The FOA explicitly highlights additional eligible applicants, including Alaska Native and Native Hawaiian Serving Institutions, AANAPISIs, Hispanic-serving institutions, HBCUs, Tribally Controlled Colleges and Universities, faith-based or community-based organizations, eligible federal agencies, and regional organizations.
Can small businesses apply?
Yes. Small businesses are listed as eligible applicants.
Can for-profit organizations apply?
Yes. For-profit organizations (other than small businesses) are listed as eligible, and small businesses are also eligible.
Can nonprofits apply even if they do not have 501(c)(3) status?
Yes. Nonprofits with or without 501(c)(3) status are included in the eligibility list.
What is the maximum award amount listed for this opportunity?
The award ceiling listed in the source information is $275,000.
What is the funding instrument type?
The funding instrument is a grant.
How is this opportunity categorized?
It is categorized under education and health-related activities.
What are the CFDA numbers associated with this opportunity?
The opportunity is associated with CFDA numbers 93.393, 93.394, 93.395, 93.396, and 93.399.
What were the creation date and original closing date listed?
The creation date listed is 2022-12-22, and the original closing date listed is 2023-11-17.
What makes an application "competitive" under this FOA based on the description provided?
Based on the description, the most competitive applications are likely to (1) clearly articulate a technical gap in current cancer informatics, (2) propose an original method or algorithm to fill that gap, and (3) provide a clear, well-argued rationale for why the technical innovation will benefit the broader cancer research community. Applications that treat the cancer problem as a proving ground for a new informatics capability, rather than focusing novelty on biology or clinical aims, appear best aligned.
Is addressing cancer health disparities within scope?
Yes. The scope explicitly includes research addressing cancer health disparities, as part of the broader cancer research continuum.
What types of cancer data improvements are explicitly within scope?
Improvements across cancer-related data acquisition, analysis, visualization, and interpretation are explicitly within scope, including approaches that make analyses more reliable or scalable, enable new measurements or data-type integration, or improve interpretability and usability for researchers and clinicians.
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