Opportunity Information: Apply for RFA CA 19 054
The Cancer Intervention and Surveillance Modeling Network (CISNET) (U01 Clinical Trial Not Allowed) funding opportunity (RFA-CA-19-054) is a National Institutes of Health (NIH) cooperative agreement designed to continue and strengthen the CISNET program (https://cisnet.cancer.gov). The central purpose is to support collaborative research projects that use simulation modeling and related quantitative approaches to better understand cancer trends and to evaluate how different interventions, technologies, and policies might affect cancer outcomes. Rather than funding clinical trials or direct service delivery, this program focuses on building and applying sophisticated models that can translate existing evidence and data into practical, policy-relevant decision tools.
The research supported under this FOA is expected to produce evidence-based modeling outputs that help decision-makers compare cancer control strategies and allocate resources efficiently. In practical terms, the models are meant to inform decisions at multiple levels, including international, national, regional, and local contexts. These decision tools can be used to weigh tradeoffs among prevention, screening, diagnostic approaches, treatment strategies, and emerging technologies, with an emphasis on identifying which combinations are likely to provide the greatest population health impact relative to costs, feasibility, or implementation constraints. Because the program is built around modeling, applicants typically need to demonstrate strong capabilities in areas such as statistical inference, simulation, epidemiology, health services research, and the use of large surveillance and clinical datasets, along with a clear plan for translating modeling results into actionable insights.
This opportunity uses the U01 mechanism, meaning it is a cooperative agreement rather than a standard grant. In a cooperative agreement, NIH staff generally have substantial programmatic involvement during the project period, which often includes coordination across projects, shared data or methodological standards, and participation in network activities. The FOA explicitly states that clinical trials are not allowed, reinforcing that the work should be focused on modeling and simulation research rather than enrolling participants into interventional studies.
Eligible applicants are broad and include state governments; public and state-controlled institutions of higher education; private institutions of higher education; nonprofit organizations both with and without 501(c)(3) status (as long as they are not institutions of higher education in those categories); for-profit organizations other than small businesses; and small businesses. The FOA also highlights additional eligible applicant types that are often emphasized in federal funding to encourage inclusive participation: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISIs); Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Tribally Controlled Colleges and Universities (TCCUs); U.S. territories or possessions; and non-domestic (non-U.S.) entities, meaning foreign organizations may apply as well.
From an administrative standpoint, the opportunity is categorized as discretionary funding and falls under the Education and Health activity category. It is associated with multiple CFDA numbers (93.393, 93.394, 93.395, 93.396, 93.399), reflecting NIH program areas that commonly include cancer research and related infrastructure. The award ceiling listed is $1,330,000, indicating the maximum anticipated funding per award under the terms described in the posting (with actual budgets typically depending on scope and NIH approval). The posting shows an original closing date of December 10, 2019, and a creation date of September 17, 2019, which places it in a specific funding cycle for that period.
Overall, this FOA is aimed at teams that can work collaboratively within a networked research environment to develop and refine cancer models that integrate surveillance data, clinical evidence, and assumptions about disease natural history and intervention effects. The end goal is not just academic modeling, but credible, transparent, and decision-relevant tools that help policymakers, public health leaders, and health systems plan cancer control strategies using the best available evidence.Apply for RFA CA 19 054
- The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Cancer Intervention and Surveillance Modeling Network (CISNET) (U01 Clinical Trial Not Allowed)" 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 2019-09-17.
- Applicants must submit their applications by 2019-12-10. (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 $1,330,000.00 in funding.
- Eligible applicants include: State governments, Public and State controlled institutions of higher education, 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 - Cancer Intervention and Surveillance Modeling Network (CISNET) (U01 Clinical Trial Not Allowed), RFA-CA-19-054
What is this funding opportunity?
This is an NIH cooperative agreement funding opportunity (U01) to continue and strengthen the Cancer Intervention and Surveillance Modeling Network (CISNET). It supports collaborative research projects that use simulation modeling and other quantitative methods to understand cancer trends and to evaluate how interventions, technologies, and policies might affect cancer outcomes.
What is CISNET?
CISNET is the Cancer Intervention and Surveillance Modeling Network. It is a program organized around using modeling to translate evidence and data into decision-relevant tools for cancer control. The program website is https://cisnet.cancer.gov.
What is the main purpose of the program?
The central purpose is to support modeling-based research that can produce credible, evidence-based outputs to help decision-makers compare cancer control strategies and allocate resources efficiently. The emphasis is on practical, policy-relevant tools rather than purely academic modeling.
Does this opportunity fund clinical trials?
No. The FOA explicitly states "Clinical Trial Not Allowed." The work should focus on modeling and simulation research rather than enrolling participants into interventional studies.
What kinds of projects are a good fit?
Projects that build, refine, or apply simulation models and related quantitative approaches to evaluate cancer control options. This includes using existing evidence and data to explore the likely impact of prevention, screening, diagnostic approaches, treatment strategies, and emerging technologies, as well as policy choices.
What kinds of outcomes are these models expected to inform?
The models are intended to inform cancer outcomes and trends at the population level and to help compare tradeoffs among alternative strategies. They are meant to support decision-making by estimating potential impact relative to factors like costs, feasibility, and implementation constraints.
Is this program about direct service delivery?
No. The focus is on building and applying sophisticated models and producing decision tools. It is not a program for delivering clinical services directly to patients.
What levels of decision-making can the results support?
The modeling outputs are described as useful across international, national, regional, and local contexts, supporting a range of decision-makers such as policymakers, public health leaders, and health systems.
What technical capabilities are typically important for applicants?
Applicants typically need strong capabilities in areas such as statistical inference, simulation, epidemiology, health services research, and working with large surveillance and clinical datasets. A clear plan for translating modeling results into actionable insights is also important.
What does the U01 mechanism mean in this announcement?
U01 is a cooperative agreement, which generally means NIH staff have substantial programmatic involvement during the project period. This can include coordination across projects, shared data or methodological standards, and active participation in network activities.
What does "cooperative agreement" imply for how the work is carried out?
It implies the funded projects operate in a networked environment with coordination and collaboration, and that NIH staff are more involved programmatically than they typically are in standard research grants.
Who is eligible to apply?
Eligibility is broad and includes state governments; public and state-controlled institutions of higher education; private institutions of higher education; nonprofit organizations (with or without 501(c)(3) status, as long as they are not institutions of higher education in those categories); for-profit organizations other than small businesses; and small businesses.
Are minority-serving institutions specifically included as eligible applicants?
Yes. The FOA highlights Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISIs); Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); and Tribally Controlled Colleges and Universities (TCCUs) as eligible applicant types.
Can U.S. territories or possessions apply?
Yes. U.S. territories or possessions are listed among eligible applicant types.
Can non-U.S. (foreign) organizations apply?
Yes. The FOA indicates that non-domestic (non-U.S.) entities, meaning foreign organizations, may apply.
What is the award ceiling for this opportunity?
The listed award ceiling is $1,330,000, meaning this is the maximum anticipated funding per award under the terms described in the posting. Actual budgets are typically dependent on project scope and NIH approval.
What kind of funding is this categorized as?
It is categorized as discretionary funding and is listed under the Education and Health activity category.
What CFDA numbers are associated with this opportunity?
The opportunity is associated with CFDA numbers 93.393, 93.394, 93.395, 93.396, and 93.399.
What is the funding opportunity number and title?
The FOA is RFA-CA-19-054, titled "The Cancer Intervention and Surveillance Modeling Network (CISNET) (U01 Clinical Trial Not Allowed)."
When was this opportunity posted and when did it close?
The posting creation date is September 17, 2019. The original closing date listed is December 10, 2019, indicating it was part of a specific funding cycle during that period.
What is the expected end product of funded work?
The expected end product is evidence-based modeling outputs that function as credible, transparent, decision-relevant tools. These tools are intended to help compare cancer control strategies and support planning and resource allocation using the best available evidence.
What types of strategies might the models compare?
Examples described include combinations of prevention, screening, diagnostic approaches, treatment strategies, and emerging technologies, with an emphasis on understanding tradeoffs and likely population health impact under real-world constraints.
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