TOPx HHS Tech Sprint for AI and Invisible Illness
A $2 million sprint to build working tools from federal open data on conditions that are hard to measure. One of its three tracks is explicitly about quantifying the full cost of illness borne by patients and families.
- Indicative award
- up to $2M (varies by call)Total cash prizes up to $2,000,000. The overview page states the pool but does not break out per-winner amounts; consult the rules section for the tier structure.
- Timing
- Periodic callsPeriodic calls · Jul, OctPublished deadline: 2026-10-15 — 61 days awayPhase 2 open 2026-07-29 to 2026-10-15 at 11:59 PM ET. Sprint-style, not an annual cycle.
- Who can apply
- Practitioner, Community organisation, Postdoctoral, Early-career faculty, Any faculty rank, Doctoral candidate
- Eligibility
- Open to eligible U.S. organizations, U.S. citizens, and permanent residents under the America COMPETES Reauthorization Act. Entrants must register and build on publicly available federal datasets from Data.gov or HealthData.gov. Non-federal teams of any composition may enter; federal employees acting in scope are excluded under standard HHS challenge rules.
- SSWR clusters
- Topics
- open data · cost of illness · chronic conditions · women's health · measurement
- Apply at
- https://www.nih.gov/challenges/topx-hhs-tech-sprint-ai-invisible-illness
- This entry
- Curated by the working group. Written 2026-08-07. The funder link has not yet been machine-checked.
Amounts and dates on this page are indicative and are maintained by people rather than scraped. Funders change ceilings, windows and eligibility without notice; confirm all details at the source above before applying.
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