Opportunity Information: Apply for RFA CA 14 012
Apply for RFA CA 14 012
- 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)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.393 Cancer Cause and Prevention Research 93.394 Cancer Detection and Diagnosis Research 93.395 Cancer Treatment Research 93.396 Cancer Biology Research 93.399 Cancer Control.
- This funding opportunity was created on Jul 31, 2014 and posted on Jul 31, 2014.
- Applicants must submit their applications by Nov 14, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: City or township governments Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Small businesses County governments Native American tribal governments (Federally recognized) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Public and State controlled institutions of higher education Others (see text field entitled Additional Information on Eligibility for clarification) Private institutions of higher education For profit organizations other than small businesses State governments Independent school districts Special district governments Public housing authorities/Indian housing authorities.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Asian American Native American Pacific Islander Serving Institutions (AANAPISISs) Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Non domestic (non U.S.) Entities (Foreign Organizations) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:
The Cancer Intervention and Surveillance Modeling Network (CISNET) (U01) opportunity, Funding Opportunity Number RFA-CA-14-012, is a National Institutes of Health program run through the National Cancer Institute that supports collaborative research centered on cancer control modeling. The main purpose is to fund teams that use simulation and other advanced modeling approaches to study specific cancer sites and produce rigorous, evidence-based tools that can guide real-world decisions about cancer prevention, screening, diagnosis, treatment, and broader control strategies. In practical terms, the work is meant to help decision-makers compare the likely impact, tradeoffs, costs, and population-level outcomes of different interventions, including both established approaches and emerging technologies.
This FOA is structured as a cooperative agreement (U01), which typically signals substantial scientific involvement from the funding agency compared with a standard research project grant. That matters because CISNET is designed as a network: funded groups are generally expected to collaborate, align methods where appropriate, share data inputs and assumptions, and contribute to products that have value beyond a single institution. The end goal is not just academic modeling for its own sake, but decision-support tools that can inform policy and practice at multiple levels, including international, national, regional, and local planning.
The scientific scope emphasizes sophisticated modeling and simulation methods, which commonly include approaches like microsimulation, state-transition models, natural history models, comparative modeling across independent teams, and scenario analyses. Projects under CISNET are expected to translate the best available evidence into models that can estimate outcomes such as incidence, mortality, overdiagnosis, quality-adjusted life years, resource use, and cost-effectiveness under different intervention strategies. A key theme in CISNET work is the ability to evaluate "what if" questions that are hard or impossible to test directly in trials, such as long time horizons, rare outcomes, or complex combinations of policies (for example, changing screening intervals while new treatments enter practice).
The FOA was posted on July 31, 2014, with an original and current closing date of November 14, 2014, and an archive date of December 15, 2014. It sits within multiple cancer-related CFDA program areas, reflecting the breadth of topics that modeling projects can touch: 93.393 (Cancer Cause and Prevention Research), 93.394 (Cancer Detection and Diagnosis Research), 93.395 (Cancer Treatment Research), 93.396 (Cancer Biology Research), and 93.399 (Cancer Control). Importantly, there is no cost sharing or matching requirement, which lowers barriers for applicants that may not have institutional resources to meet matching expectations.
Eligibility is intentionally broad, consistent with a network program that benefits from diverse expertise and data access. Eligible applicants include public and private institutions of higher education, nonprofits with and without 501(c)(3) status, for-profit organizations (including small businesses and other for-profits), and multiple levels of government such as state, county, city or township governments, special district governments, and independent school districts. Public housing authorities and Indian housing authorities are also listed. The FOA also explicitly includes a wide range of mission-driven and community-connected institutions and organizations, such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian-serving institutions, and Asian American Native American Pacific Islander-serving institutions (AANAPISIs), as well as faith-based and community-based organizations. Another notable feature is that non-U.S. entities and foreign institutions are eligible to apply, non-U.S. components of U.S. organizations are eligible, and foreign components (as defined by NIH policy) are allowed. That international openness fits the program’s stated intent to inform decisions at global as well as domestic levels.
Applicants are also encouraged to engage early through an NCI-hosted pre-application informational webinar, with details to be posted on the CISNET website (http://cisnet.cancer.gov/). These webinars are typically used to clarify program expectations, network coordination requirements, the cooperative agreement structure, and the kinds of deliverables or collaborative practices reviewers and program staff expect to see. The full announcement and official instructions were made available through the NIH Grants Guide page linked in the FOA (http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-14-012.html).
For access or technical issues related to the announcement, NIH points applicants to the NIH Office of Extramural Research (OER) support contact (FBOWebmaster@OD.NIH.GOV), which is a standard pathway for resolving broken links or document access problems. Overall, this CISNET U01 FOA is best understood as support for networked, high-impact cancer modeling projects that synthesize evidence into practical decision tools, with strong emphasis on collaboration, methodological rigor, and policy-relevant outputs.
Frequently Asked Questions (FAQs)
What is the CISNET (U01) funding opportunity?
The Cancer Intervention and Surveillance Modeling Network (CISNET) (U01) is a National Institutes of Health (NIH) program run through the National Cancer Institute (NCI) that funds collaborative research focused on cancer control modeling. This opportunity is identified as Funding Opportunity Number (FON) RFA-CA-14-012.
What is the main purpose of RFA-CA-14-012?
The purpose is to support teams that use simulation and other advanced modeling approaches to study specific cancer sites and to produce rigorous, evidence-based tools that can guide real-world decisions about cancer prevention, screening, diagnosis, treatment, and broader cancer control strategies.
What kinds of real-world decisions is CISNET intended to inform?
CISNET projects are intended to help decision-makers compare the likely impact, tradeoffs, costs, and population-level outcomes of different interventions. This can include established approaches as well as emerging technologies, and it is meant to support policy and practice decisions at international, national, regional, and local levels.
What does it mean that this is a cooperative agreement (U01)?
This FOA uses a U01 cooperative agreement mechanism, which typically indicates substantial scientific involvement from the funding agency compared with a standard research project grant. In the CISNET context, this matters because the program is structured as a network, and funded groups are generally expected to collaborate and coordinate as part of that network.
How is CISNET structured as a network program?
CISNET is designed for collaborative, networked work. Funded groups are generally expected to collaborate, align methods where appropriate, share data inputs and assumptions, and contribute to products that have value beyond a single institution.
Is the goal mainly academic modeling research?
No. The stated end goal is not modeling for its own sake, but practical decision-support tools that can inform policy and practice across multiple levels of planning and implementation.
What scientific methods are emphasized by this FOA?
The FOA emphasizes sophisticated modeling and simulation methods. Examples mentioned include microsimulation, state-transition models, natural history models, comparative modeling across independent teams, and scenario analyses.
What types of questions are CISNET models expected to address?
CISNET modeling is expected to support "what if" analyses that may be hard or impossible to test directly in trials, such as evaluating long time horizons, rare outcomes, or complex combinations of policies (for example, changing screening intervals while new treatments enter practice).
What outcomes can CISNET models estimate?
Projects are expected to translate the best available evidence into models that can estimate outcomes such as incidence, mortality, overdiagnosis, quality-adjusted life years (QALYs), resource use, and cost-effectiveness under different intervention strategies.
Does this opportunity focus on particular cancer sites?
Yes. The FOA supports teams that study specific cancer sites using simulation and advanced modeling approaches, with an emphasis on producing evidence-based tools to guide cancer control decisions.
When was the FOA posted and what were the key dates?
The FOA was posted on July 31, 2014. The original and current closing date is November 14, 2014, and the archive date is December 15, 2014.
Which CFDA program areas are associated with this FOA?
The FOA is associated with multiple CFDA program areas: 93.393 (Cancer Cause and Prevention Research), 93.394 (Cancer Detection and Diagnosis Research), 93.395 (Cancer Treatment Research), 93.396 (Cancer Biology Research), and 93.399 (Cancer Control).
Is cost sharing or matching required?
No. The FOA specifies that there is no cost sharing or matching requirement.
Who is eligible to apply?
Eligibility is broad. Eligible applicants include public and private institutions of higher education, nonprofits with and without 501(c)(3) status, for-profit organizations (including small businesses and other for-profits), and multiple levels of government (such as state, county, city or township governments, special district governments, and independent school districts). Public housing authorities and Indian housing authorities are also listed as eligible.
Are minority-serving institutions and community-based organizations eligible?
Yes. The FOA explicitly includes a range of institutions and organizations such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian-serving institutions, Asian American Native American Pacific Islander-serving institutions (AANAPISIs), as well as faith-based and community-based organizations.
Are foreign institutions or non-U.S. entities eligible to apply?
Yes. The FOA states that non-U.S. entities and foreign institutions are eligible to apply, non-U.S. components of U.S. organizations are eligible, and foreign components (as defined by NIH policy) are allowed.
Where can applicants find official details and instructions?
The full announcement and official instructions are available through the NIH Grants Guide page for RFA-CA-14-012 at http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-14-012.html.
Is there a pre-application webinar for this opportunity?
Yes. Applicants are encouraged to engage early through an NCI-hosted pre-application informational webinar, with details to be posted on the CISNET website at http://cisnet.cancer.gov/.
What is the purpose of the pre-application informational webinar?
Based on the FOA description, the webinar is intended to clarify program expectations, network coordination requirements, the cooperative agreement structure, and the types of deliverables or collaborative practices that reviewers and program staff expect.
Who should be contacted for access or technical issues related to the announcement?
For access or technical issues (such as broken links or document access problems), NIH points applicants to the NIH Office of Extramural Research (OER) support contact at FBOWebmaster@OD.NIH.GOV.
What makes this FOA "policy-relevant"?
The FOA emphasizes producing decision-support tools that synthesize evidence into practical outputs. The modeling is intended to inform real-world choices by comparing intervention strategies and estimating tradeoffs, costs, and population outcomes that can guide policy and practice.
How does collaboration factor into what applicants should plan to do?
Because CISNET is a network program under a cooperative agreement mechanism, funded teams are generally expected to collaborate with other groups, share inputs and assumptions, and contribute to outputs that extend beyond a single institution's work.
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