Opportunity Detail
NSF/NIH Smart Health and Biomedical Research (SCH)
NSF/NIH
Inactive
R3: AI + Healthcare
ORED: 2025-09-26
4.4
High Priority
Amount
$300K - $1.2M
Deadline
Oct 3, 2025
LOI Required
No
Funder Type
Federal
NSF/NIH Smart Health and Biomedical Research (SCH)
Priority: HIGH PRIORITY (AI Track) Deadline: PASSED (Oct 3, 2025) - Monitor for FY2026
Quick Facts
| Field | Value |
|---|---|
| Funder | National Science Foundation / National Institutes of Health (Joint Program) |
| Program | NSF 25-542: Smart Health and Biomedical Research in the Era of AI |
| Amount | $300K - $1.2M over 4 years |
| Deadline | October 3, 2025 (PASSED) |
| Type | Federal Research |
| Prior Relationship | No prior SCH award |
About SCH Program
The Smart Health and Biomedical Research in the Era of Artificial Intelligence (SCH) program is a joint NSF-NIH initiative supporting transformative high-risk, high-reward advances in computer science, engineering, and mathematics to address biomedical and public health questions.
Key Characteristics
- AI/ML Innovation Required: Focus on methodological advances, not just applications
- Interdisciplinary Teams: CS/engineering + health/clinical collaborators required
- Health Disparities Priority: Explicitly mentioned as priority area
- 4-Year Awards: Up to $300K/year for 4 years
Strategic Alignment
Recommended Route
Route 3: AI + Healthcare Intersection - AI methodology IS the innovation
Why SCH Fits
- AI-First Framing: Thrive's ML algorithms as innovative CS contribution
- Health Disparities Focus: Explicit NSF priority
- SDOH Integration: Perfect domain for novel ML approaches
- Interdisciplinary: FIU CS + HWCOM + HCAI partnership
- Significant Funding: 4-year support enables substantial development
Alignment Scores
| Dimension | Score | Notes |
|---|---|---|
| Funder Alignment | 5.0 | Direct AI + health disparities match |
| Capability Match | 5.0 | HCAI AI expertise + FIU research |
| Success Probability | 3.0 | Competitive, requires strong CS |
| Strategic Value | 5.0 | Major AI research validation |
| Resource Efficiency | 3.0 | Significant proposal effort |
| Weighted Score | 4.30 | HIGH PRIORITY |
Project Concept
Research Innovation
Title: "Trustworthy AI for Social Determinants of Health Screening and Navigation in Underserved Communities"
Core Innovation:
- Novel ML algorithms for SDOH risk prediction with fairness constraints
- Explainable AI for CHW decision support
- Federated learning approaches for privacy-preserving health data
- Causal inference methods for intervention effectiveness
Technical Contributions
- Fair ML for SDOH: Algorithms that perform equitably across demographic groups
- Explainable Recommendations: Interpretable models for CHW trust and adoption
- Multi-modal Integration: Combining clinical, social, and behavioral data
- Adaptive Intervention Matching: Personalized resource recommendations
Application Requirements
Proposal Types
| Track | Focus | Direct Costs |
|---|---|---|
| Exploratory | High-risk, innovative ideas | Up to $300K/year |
| Integrative | Mature research approaches | Up to $300K/year |
Required Elements
- Project Summary (1 page)
- Project Description (15 pages)
- References Cited
- Biographical Sketches (NSF format)
- Budget Justification
- Current and Pending Support
- Data Management Plan
- Collaborator Letters
Eligibility
- U.S. academic institutions (FIU qualifies)
- Must have CS/engineering AND health/clinical collaborators
- Prior SCH award holders can reapply
Timeline for FY2026
| Date | Action |
|---|---|
| July 2026 | NSF releases FY2026 solicitation (estimate) |
| 4 months before | Identify CS and clinical collaborators |
| 3 months before | Develop technical approach |
| 2 months before | Draft full proposal |
| 1 month before | Internal review and revision |
| Deadline | Submit via Research.gov |
Partnership Strategy
Key Collaborators Needed
- Computer Science/AI Lead: FIU School of Computing or HCAI team
- Clinical/Health Partner: HWCOM faculty
- Community Partner: NHELP/Thrive operations
- Health Equity Expert: FIU-HDI or similar
Dual Submission Option
NSF and NIH each review appropriate aspects of interdisciplinary proposals
Contacts
- NSF Program Officers:
- Wendy Nilsen (Program Director)
- Sylvia Spengler (Information Technology)
- NSF Solicitation: https://www.nsf.gov/funding/opportunities/sch-smart-health-biomedical-research-era-artificial-intelligence/nsf25-542/solicitation
- Research.gov: Submission portal
Notes
- DEADLINE PASSED for FY2025 (October 3, 2025)
- Monitor NSF website for FY2026 solicitation release
- Strong CS component required - cannot be purely health services
- AI fairness and explainability are explicit priorities
- Consider NSF CAREER award as alternative for junior faculty
Alignment Scores
4.4
Weighted Score
Funder Alignment5.0
Capability Match5.0
Success Probability3.0
Strategic Value5.0
Resource Efficiency3.0
Strategic Notes
EXCELLENT AI FIT - Novel AI/ML methods for SDOH screening and intervention matching.