Opportunity Information: Apply for PA 15 010
Apply for PA 15 010
- The National Institutes of Health in the education environment health sector is offering a public funding opportunity titled "Spatial Uncertainty Data, Modeling, and Communication (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.113 Environmental Health 93.393 Cancer Cause and Prevention Research 93.399 Cancer Control.
- This funding opportunity was created on Oct 10, 2014 and posted on Oct 10, 2014.
- Applicants must submit their applications by Jan 7, 2018. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: Native American tribal governments (Federally recognized) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) County governments City or township governments For profit organizations other than small businesses Private institutions of higher education Public housing authorities/Indian housing authorities Special district governments State governments Small businesses Others (see text field entitled Additional Information on Eligibility for clarification) Independent school districts Public and State controlled institutions of higher education Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education.
- 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 Spatial Uncertainty Data, Modeling, and Communication (R01) opportunity (Funding Opportunity Number PA 15 010) is a National Institutes of Health (NIH) discretionary grant program designed to push forward research on a specific, practical problem in public health and biomedical studies: spatial uncertainty. In this context, spatial uncertainty means that geographic information used in research (such as addresses, locations, boundaries, or mapped exposure surfaces) can be inaccurate, incomplete, unstable over time, or imprecise in ways that matter for analysis and decision-making. The FOA aims to support innovative projects that (1) identify where that uncertainty comes from in real public health data, (2) build statistical approaches that do not ignore the uncertainty but instead incorporate it directly into modeling and inference, and (3) create new visualization and communication tools that help researchers, practitioners, and policymakers understand what the uncertainty does to results and conclusions.
At a high level, the research focus is on strengthening the full pipeline of spatially informed public health research: data collection and geocoding, linkage of people and places, spatial analysis and statistical modeling, and interpretation and communication of results. Projects under this FOA are expected to go beyond simply noting that location error exists. The intent is to develop methods and tools that quantify the uncertainty, propagate it through analyses, and clearly show how it affects findings such as estimated disease risk, detected clusters, associations with environmental exposures, or the identification of high-need areas. The emphasis on "communication" signals that NIH is looking for work that makes uncertainty understandable and actionable, rather than leaving it buried in technical appendices.
The grant mechanism is an R01, meaning it is intended for substantial, research-driven projects that can support a well-developed research plan. The funding activity category is listed under Education, Environment, and Health, and it is associated with multiple CFDA program areas: 93.113 (Environmental Health), 93.393 (Cancer Cause and Prevention Research), and 93.399 (Cancer Control). This combination reflects how spatial uncertainty is a cross-cutting issue that can influence studies in environmental exposure science, cancer etiology, cancer prevention, and cancer control planning, along with many other public health applications.
Eligibility for this FOA is broad. It includes public and private institutions of higher education, nonprofit organizations (both with and without 501(c)(3) status), for-profit organizations (including small businesses), and a wide range of government entities such as state, county, city/township, special district governments, and independent school districts, as well as public housing authorities/Indian housing authorities. It also explicitly includes Native American tribal governments (federally recognized) and other tribal organizations. In addition, the FOA allows applications from foreign organizations and foreign institutions, and it permits foreign components of U.S. organizations as defined by the NIH Grants Policy Statement, indicating NIH was open to internationally relevant methodological work as long as it fits NIH policy and the scientific goals of the program. There is no cost sharing or matching requirement, which reduces barriers for applicants who may not have access to required matching funds.
Key administrative dates indicate the opportunity was posted and created on October 10, 2014, with an original and final closing date of January 7, 2018, and an archive date of February 7, 2018. While that means this specific announcement is no longer open for submission, the description is still useful for understanding NIH priorities in spatial data quality, spatial statistical methodology, and uncertainty visualization, and for guiding applicants who may be looking for current NIH opportunities in similar areas.
For reference and official details, NIH provided an additional information link to the full FOA text (http://grants.nih.gov/grants/guide/pa-files/PA-15-010.html). For technical issues accessing or linking to the announcement, the contact listed is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
Frequently Asked Questions (FAQs)
What is the name of this grant opportunity?
The opportunity is titled Spatial Uncertainty Data, Modeling, and Communication (R01).
What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number is PA 15 010.
Which agency is offering this opportunity?
This is a National Institutes of Health (NIH) discretionary grant program.
What type of grant mechanism is it?
The mechanism is an R01, which is intended for substantial, research-driven projects with a well-developed research plan.
What core problem is the FOA focused on?
The FOA focuses on spatial uncertainty in public health and biomedical research, meaning geographic information (addresses, locations, boundaries, mapped exposure surfaces, and related spatial data) may be inaccurate, incomplete, unstable over time, or imprecise in ways that affect analysis and decision-making.
What kinds of spatial data issues are included under "spatial uncertainty" in this FOA?
Spatial uncertainty, as described here, includes geographic information that can be:
- Inaccurate (e.g., incorrect locations)
- Incomplete (e.g., missing or partial location details)
- Unstable over time (e.g., changing boundaries or locations)
- Imprecise in ways that matter for inference and decisions
What is NIH trying to achieve through this FOA?
The FOA aims to support innovative projects that:
- Identify where spatial uncertainty comes from in real public health data
- Develop statistical approaches that incorporate uncertainty directly into modeling and inference (rather than ignoring it)
- Create visualization and communication tools that help researchers, practitioners, and policymakers understand how uncertainty affects results and conclusions
What parts of the research workflow does the FOA emphasize?
The FOA is oriented toward strengthening the full pipeline of spatially informed public health research, including:
- Data collection and geocoding
- Linkage of people and places
- Spatial analysis and statistical modeling
- Interpretation and communication of results
Is it enough for a project to simply acknowledge that location error exists?
No. The FOA expects projects to go beyond noting that spatial error exists. The intent is to develop methods and tools that quantify uncertainty, propagate it through analyses, and show clearly how it changes findings.
What does the FOA mean by "communication" of uncertainty?
The FOA places specific emphasis on making uncertainty understandable and actionable for audiences beyond purely technical readers. The goal is not to leave uncertainty buried in technical appendices, but to provide ways to communicate what uncertainty does to results and conclusions for researchers, practitioners, and policymakers.
What kinds of results might be affected by spatial uncertainty, according to the FOA?
The description highlights that spatial uncertainty can affect findings such as:
- Estimated disease risk
- Detected clusters
- Associations with environmental exposures
- Identification of high-need areas
What is the funding activity category for this FOA?
The funding activity category is listed under Education, Environment, and Health.
Which CFDA program areas are associated with this opportunity?
The FOA is associated with multiple CFDA program areas:
- 93.113 (Environmental Health)
- 93.393 (Cancer Cause and Prevention Research)
- 93.399 (Cancer Control)
Why does the FOA connect to environmental health and cancer-related CFDA areas?
Because spatial uncertainty is described as a cross-cutting issue that can influence environmental exposure studies, cancer etiology, cancer prevention research, and cancer control planning, along with many other public health applications.
Who is eligible to apply?
Eligibility is broad and includes:
- Public and private institutions of higher education
- Nonprofit organizations (with or without 501(c)(3) status)
- For-profit organizations (including small businesses)
- Government entities (state, county, city/township, special district governments, independent school districts)
- Public housing authorities / Indian housing authorities
- Native American tribal governments (federally recognized) and other tribal organizations
- Foreign organizations and foreign institutions
- Foreign components of U.S. organizations (as defined by the NIH Grants Policy Statement)
Are foreign organizations allowed to apply?
Yes. The FOA explicitly allows applications from foreign organizations and foreign institutions, and it also permits foreign components of U.S. organizations as defined by the NIH Grants Policy Statement.
Is cost sharing or matching required?
No. The FOA states there is no cost sharing or matching requirement.
When was this opportunity posted?
The opportunity was posted and created on October 10, 2014.
What were the application closing dates for this FOA?
The original and final closing date listed is January 7, 2018.
Is this funding opportunity still open?
No. The FOA indicates an archive date of February 7, 2018, and the final closing date was January 7, 2018, meaning it is no longer open for submission.
If it is closed, why does this FOA still matter?
Even though it is archived, the description is still useful for understanding NIH priorities in spatial data quality, spatial statistical methodology, and uncertainty visualization and communication, and for guiding applicants looking for current NIH opportunities in similar areas.
Where can applicants find the official FOA text?
NIH provided a link to the full FOA text here: http://grants.nih.gov/grants/guide/pa-files/PA-15-010.html
Who should be contacted for technical issues accessing or linking to the announcement?
For technical issues, the contact listed is the NIH Office of Extramural Research (OER) Webmaster at FBOWebmaster@OD.NIH.GOV.
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| Global Research Initiative Program, Behavioral/Social Sciences (R01) Apply for PAR 07 328 Funding Number: PAR 07 328 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: $50,000 |
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| Psychopharmacology Of Widely Available Psychoactive Natural Products (R03) Apply for PA 07 375 Funding Number: PA 07 375 Agency: National Institutes of Health Category: Education Environment Health Funding Amount: Case Dependent |
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