Leveraging AI/ML for Environmental Health Risk Assessment in Homes
About This Grant
PROJECT SUMMARY / ABSTRACT Millions of people in the United States experience respiratory health conditions such as asthma, COPD, and allergies that make them more susceptible to the acute health impacts of indoor air pollution, including coughing, difficulty breathing, wheezing, dizziness, and irritation. Interventions are needed to reduce acute exposures and health risks in homes to (1) identify sources of pollution and (2) guide residents in effective exposure mitigation strategies. Sources include emissions from smoking, fires, cooking, cleaning, dust, household products, and ambient pollution. Reducing indoor air exposure will also reduce long-term risks such as cancer and cardiovascular diseases. To meet these needs, we will leverage the latest sensor technology, voice and cloud platforms, and Artificial Intelligence / Machine Learning (AI/ML) technologies to develop a Just- in-Time Adaptive Intervention for households, called CLYR-VUE, that learns precise exposure contexts and delivers context-aware real-time guidance in the moments that hazards occur. The intervention will help users verify and maximize intervention effectiveness with adaptive refinements over time. We will first develop the hardware and software infrastructure needed to implement the CLYR-VUE intervention. We will use industry- standard sensors for environmental quantities that can be used to indicate different sources (particle counts by size, VOCs, CO, CO2, NO2, HCHO, temperature, humidity, light, and noise). Next, we will evaluate and test its performance in the laboratory and conduct an intensive field pilot test in 4 real homes with adults and children to evaluate its feasibility in terms of usability, acceptability, technical performance, and potential health impact. Our specific aims with tasks are: AIM #1. Develop software and hardware (Engineer and build 25 units → Add Voice Interface → Web scraping of public air quality data → AI/ML computation → Messaging engine → Web app frontend). AIM #2. Perform 73 laboratory tests (Measure source emissions in a chamber → Evaluate and calibrate sensor readings → Train and evaluate ML models for source classification). AIM #3. Perform pilot field test in 4 homes (Develop procedures → Deploy 2-5 devices per home → Evaluate CLYR- VUE feasibility). We will elicit feedback from participants on each component of their experience, including setup, instruction, voice interaction, web app use, accuracy of source identification, appropriate messaging, guidance, impact on behavior and health, cost, and privacy. We will also observe objective changes in exposure events and mean pollutant levels as a measure of potential impact. This study will feed into a Phase II impact study and commercialization.
Grant Summary
Leveraging AI/ML for Environmental Health Risk Assessment in Homes is a NIEHS - National Institute of Environmental Health Sciences grant providing up to $307K for university, nonprofit, healthcare org. Applications are due 2027-07-31 (open). Check eligibility and apply with FindGrants.
Not quite the right fit?
Search 9,000+ open grants, or get matches ranked for your organization — free.
Focus Areas
Eligibility
How to Apply
Up to $307K
2027-07-31
- 1Confirm your organization is eligible for Leveraging AI/ML for Environmental Health Risk Assessment in Homes from NIEHS - National Institute of Environmental Health Sciences, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIEHS - National Institute of Environmental Health Sciences before the deadline.
Don't want to draft it yourself?
We'll draft the complete application against NIEHS - National Institute of Environmental Health Sciences's requirements, run a quality review, and email you a submission-ready PDF plus an editable Word doc within 5 business days. Most orders deliver in 24-48 hours. Flat $399, any grant size.
AI Requirement Analysis
Detailed requirements not yet analyzed
Have the NOFO? Paste it below for AI-powered requirement analysis.
Leveraging AI/ML for Environmental Health Risk Assessment in Homes: Frequently Asked Questions
Who is eligible for the Leveraging AI/ML for Environmental Health Risk Assessment in Homes?
Leveraging AI/ML for Environmental Health Risk Assessment in Homes is offered by NIEHS - National Institute of Environmental Health Sciences and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Leveraging AI/ML for Environmental Health Risk Assessment in Homes provide?
Leveraging AI/ML for Environmental Health Risk Assessment in Homes provides up to $307K per award from NIEHS - National Institute of Environmental Health Sciences. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Leveraging AI/ML for Environmental Health Risk Assessment in Homes deadline?
Applications for Leveraging AI/ML for Environmental Health Risk Assessment in Homes are due 2027-07-31 (open). Because deadlines can change, verify the date with the funder, NIEHS - National Institute of Environmental Health Sciences, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Leveraging AI/ML for Environmental Health Risk Assessment in Homes?
To apply for Leveraging AI/ML for Environmental Health Risk Assessment in Homes, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIEHS - National Institute of Environmental Health Sciences.