Opportunity Information: Apply for EPA G2009 STAR B1
Apply for EPA G2009 STAR B1
- The Environmental Protection Agency in the environment sector is offering a public funding opportunity titled "Exploring Linkages Between Health Outcomes and Environmental Hazards, Exposures, and Interventions for Public Health Tracking and Risk Management" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 66.509 Science To Achieve Results (STAR) Research Program.
- This funding opportunity was created on May 11, 2009 and posted on May 11, 2009.
- Applicants must submit their applications by Aug 5, 2009 Please refer to the full announcement, including Section IV, for additional information on submission methods and due dates.. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $3,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $500,000.00 in funding.
- The number of recipients for this funding is limited to 5 candidate(s).
- Eligible applicants include: City or township governments County governments Native American tribal governments (Federally recognized) Public and State controlled institutions of higher education Private institutions of higher education State governments Others (see text field entitled Additional Information on Eligibility for clarification).
- See Section III of the announcement for additional eligibility information.
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Opportunity Summary:
This EPA STAR (Science to Achieve Results) funding opportunity, titled "Exploring Linkages Between Health Outcomes and Environmental Hazards, Exposures, and Interventions for Public Health Tracking and Risk Management," focuses on improving the way public health agencies and researchers track how environmental conditions affect human health over time. The core goal is to fund research that develops new or improved Environmental Public Health Indicators (EPHIs), meaning practical, measurable indicators that can connect the dots between environmental hazards (like pollution sources or contaminated media), human exposures (what people actually come into contact with), and health outcomes (such as disease rates, hospital visits, or other measurable health effects). The EPA is looking for indicators that are useful for long-term surveillance and trend tracking, not just one-off analyses, so that decision-makers can better understand whether environmental risk management actions and policy changes are truly making a difference.
A central theme of the program is linkage: building credible, evidence-based relationships across datasets that are often collected separately. Many environmental datasets measure conditions in air, water, or soil, while health datasets capture outcomes in hospitals, clinics, registries, or surveys. This opportunity encourages applicants to bridge those gaps in a way that supports routine tracking and risk management. Projects are expected to take advantage of existing knowledge and resources rather than starting from scratch, such as established monitoring networks, existing administrative health records, prior studies, or ongoing cohorts. The emphasis on using existing data sources suggests the EPA wants deliverables that can be scaled, repeated, and maintained over time, which is essential for a tracking program meant to inform real-world decisions.
Geospatial information may play a role, which signals that mapping, spatial statistics, or GIS-based linkage methods could be important for many projects. In practical terms, that could mean connecting environmental measurements to populations based on location, estimating exposure by proximity or modeled concentrations, identifying geographic disparities, or tracking changes across neighborhoods, counties, or regions. Because environmental hazards and human populations are unevenly distributed, geospatial approaches can help reveal patterns that would be hidden in non-spatial analyses, and they can strengthen public health tracking by enabling consistent comparisons over time and across places.
The announcement also signals openness to advanced or novel statistical methods and models, especially when datasets do not naturally align. For example, researchers may need to address differences in spatial scale (monitor-level data versus county-level health data), time scale (daily pollution readings versus annual health outcomes), or data completeness and bias. The EPA explicitly notes that new modeling approaches may be needed to establish probable relationships among existing datasets or to examine the consequences of environmental actions and policy changes. That points to work such as causal inference strategies, quasi-experimental designs, integrated exposure modeling, small-area estimation, data fusion, and uncertainty characterization, all aimed at producing indicators that are both scientifically defensible and operationally useful.
Administratively, the opportunity is a discretionary EPA grant/cooperative agreement under CFDA 66.509 (STAR Research Program). The EPA anticipated making about 5 awards with an estimated total funding level of $3,000,000, and an award ceiling of $500,000 per project. There is no cost-sharing or matching requirement listed. Eligible applicants include state governments, county and city or township governments, federally recognized tribal governments, public and state-controlled institutions of higher education, and private institutions of higher education, with other eligibility details referenced in Section III of the full announcement. The funding opportunity number is EPA G2009 STAR B1. It was posted May 11, 2009, with an original and current closing date of August 5, 2009, and an archive date of September 4, 2009. For access issues with the full announcement, the listed contact is Maggie Breville at 202-343-9779.
Overall, the grant is aimed at strengthening environmental public health tracking by producing indicators that are grounded in existing science and data, capable of being maintained over time, and helpful for evaluating whether environmental interventions and policies are actually improving exposures and health outcomes. The strongest proposals would likely be those that clearly define an indicator, demonstrate a feasible path to linking hazard, exposure, and health data, explain how the indicator can be used for ongoing surveillance and decision-making, and carefully address statistical and geospatial challenges so that the final product is reliable for public health tracking and risk management.
Frequently Asked Questions (FAQs)
What is the title of this EPA STAR funding opportunity?
The opportunity is titled "Exploring Linkages Between Health Outcomes and Environmental Hazards, Exposures, and Interventions for Public Health Tracking and Risk Management."
What is the main purpose of this grant?
The core purpose is to improve how public health agencies and researchers track, over time, the ways environmental conditions affect human health. The EPA is specifically seeking research that strengthens environmental public health tracking and supports risk management decisions.
What types of research outcomes is EPA trying to fund?
The EPA is looking for research that develops new or improved Environmental Public Health Indicators (EPHIs). These indicators should be practical and measurable, and they should help connect environmental hazards, human exposures, and health outcomes in a way that supports ongoing surveillance and trend tracking.
What are Environmental Public Health Indicators (EPHIs) in this context?
EPHIs are practical, measurable indicators intended to "connect the dots" between (1) environmental hazards (such as pollution sources or contaminated environmental media), (2) human exposures (what people actually come into contact with), and (3) health outcomes (such as disease rates, hospital visits, or other measurable health effects). The intent is for these indicators to be useful for long-term tracking rather than one-time analyses.
What does the EPA mean by "linkages"?
A central theme is building credible, evidence-based relationships across datasets that are usually collected separately. For example, environmental datasets may measure air, water, or soil conditions, while health datasets may come from hospitals, clinics, registries, or surveys. The program encourages applicants to bridge those data gaps in ways that support routine tracking and risk management.
Is the EPA looking for one-time studies or long-term tracking tools?
The emphasis is on indicators that support long-term surveillance and trend tracking. The goal is to help decision-makers evaluate whether environmental risk management actions and policy changes are making a measurable difference over time.
Does the program encourage using existing data and systems?
Yes. Projects are expected to take advantage of existing knowledge and resources rather than starting from scratch. Examples mentioned include established monitoring networks, existing administrative health records, prior studies, and ongoing cohorts. This focus supports indicators that can be scaled, repeated, and maintained over time.
What kinds of datasets might a project try to connect?
Based on the description, projects may link environmental datasets (air, water, soil measurements; hazards such as pollution sources or contaminated media) with health datasets (hospital or clinic data, disease registries, or surveys) in order to relate hazards and exposures to observed health outcomes.
Is geospatial analysis relevant to this opportunity?
Yes. The announcement notes that geospatial information may play a role. Approaches like mapping, GIS-based linkage, and spatial statistics may be important for connecting environmental measurements to populations by location, identifying geographic disparities, and tracking changes across neighborhoods, counties, or regions.
Why does geospatial information matter for environmental public health tracking?
Environmental hazards and populations are not evenly distributed. Geospatial approaches can help reveal patterns that might be missed otherwise and can enable consistent comparisons over time and across places, strengthening routine tracking and surveillance.
Does the EPA allow advanced statistical or modeling methods?
Yes. The announcement signals openness to advanced or novel statistical methods and models, especially where datasets do not naturally align. It notes that new modeling approaches may be needed to establish probable relationships among existing datasets or to evaluate the consequences of environmental actions and policy changes.
What kinds of technical challenges does EPA expect projects to address?
The description highlights challenges such as mismatched spatial scales (for example, monitor-level environmental data versus county-level health data), mismatched time scales (daily readings versus annual outcomes), and issues of data completeness or bias. Projects are expected to handle these challenges in ways that produce scientifically defensible and operationally useful indicators.
What is the funding mechanism for this opportunity?
This is a discretionary EPA grant/cooperative agreement under the STAR (Science to Achieve Results) Research Program.
What is the CFDA number for this opportunity?
The CFDA number is 66.509 (STAR Research Program).
What is the funding opportunity number?
The funding opportunity number is EPA G2009 STAR B1.
How many awards did EPA anticipate making?
The EPA anticipated making about 5 awards.
What is the estimated total funding available?
The estimated total funding level is $3,000,000.
What is the maximum award amount per project?
The award ceiling is $500,000 per project.
Is cost-sharing or matching required?
No. The information provided states there is no cost-sharing or matching requirement listed.
Who is eligible to apply?
Eligible applicants include state governments; county and city or township governments; federally recognized tribal governments; public and state-controlled institutions of higher education; and private institutions of higher education. Other eligibility details are referenced in Section III of the full announcement.
When was this opportunity posted?
It was posted on May 11, 2009.
What is the closing date for applications?
The original and current closing date listed is August 5, 2009.
When was the opportunity archived?
The archive date is September 4, 2009.
Who should be contacted for access issues with the full announcement?
For access issues, the listed contact is Maggie Breville at 202-343-9779.
What kinds of deliverables would best align with the stated goals?
Based on the description, strong deliverables would likely include a clearly defined indicator (EPHI), a feasible and evidence-based approach to linking hazard, exposure, and health outcome data, and a plan showing how the indicator can be maintained and used for ongoing surveillance, trend tracking, and evaluating environmental interventions and policy changes.
What is the overall emphasis of the program?
The overall emphasis is strengthening environmental public health tracking by producing indicators grounded in existing science and data, capable of being maintained over time, and useful for understanding whether environmental risk management actions and policy changes are improving exposures and health outcomes.
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