Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science | 21 530

Opportunity Information: Apply for 21 530

The Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science opportunity is an interagency grant solicitation led by the National Science Foundation (NSF) that focuses on pushing forward ambitious, high-risk, high-reward research at the intersection of advanced computing and real-world health challenges. The core idea is to fund interdisciplinary teams that can deliver transformative advances in areas like artificial intelligence, data science, computer and information science, engineering, mathematics, statistics, and behavioral or cognitive science, specifically when those advances help answer urgent biomedical and public health questions. Rather than incremental improvements, the solicitation emphasizes breakthroughs that can change what is possible in how health-related data is captured, linked, understood, and used to improve outcomes.

A central theme is building new ways to "intuitively and intelligently" collect, sense, connect, analyze, and interpret data coming from individuals, devices, and larger systems. That includes data streams such as wearables and sensors, clinical and public health records, imaging, lab results, environmental measurements, and other sources that are often fragmented or difficult to integrate. Projects are expected to move beyond simply applying existing tools; the program is looking for novel methods and foundational innovations that make it easier to derive reliable insights from complex, messy, multi-scale, and sometimes real-time data. In practical terms, that could mean new algorithms for learning from limited or biased datasets, more robust approaches for integrating heterogeneous data sources, methods that support earlier detection or better prediction of disease, or systems that enable personalized or adaptive interventions.

The solicitation also makes it clear that success depends on teams that genuinely span disciplines. The biomedical or public health problem is not treated as a backdrop; it is the driver for new fundamental research in computing and related fields, and the expectation is that teams will be prepared to tackle both sides at once. The work should advance underlying scientific and engineering knowledge while also making progress on concrete health questions, such as improving diagnosis, optimizing treatment decisions, strengthening population health monitoring, or enabling better prevention strategies. Because the problems are complex and high stakes, the program encourages creative approaches that may be technically challenging but potentially game-changing.

From the funding details provided, this is a discretionary grant opportunity (Funding Opportunity Number 21-530) in the science and technology research and development category. The ceiling amount per award is listed as $1,200,000, with an expected total of 16 awards, indicating a competitive program designed to support a limited number of substantial, research-intensive projects. The opportunity was created on November 20, 2020, with an original closing date of February 16, 2021. While the listed deadline is historical, the summary still reflects how the program is structured and what it values: transformative interdisciplinary research that leverages AI and advanced data science to improve biomedical and public health discovery and decision-making.

Eligibility is described as "Others (see text field entitled Additional Information on Eligibility for clarification)," which implies that applicants needed to consult the full solicitation for specifics on who could apply (for example, different institution types, collaborations, or other requirements). The CFDA numbers span both NSF and multiple health-related research programs, reinforcing that this is interagency in nature and that proposals are expected to sit at the boundary between core computational innovation and meaningful health impact.

Overall, the opportunity is aimed at researchers who can demonstrate both a compelling health-related use case and a credible plan to invent or significantly advance the computational, statistical, engineering, or behavioral science methods needed to solve it. The strongest projects, by the program’s own framing, would be those that create new capabilities for connected health data ecosystems and deliver insights that help enable discovery and optimize health, while also contributing lasting advances to the fundamental sciences and engineering disciplines that underpin smart health technologies.

• The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041, 47.049, 47.070, 47.075, 93.172, 93.173, 93.213, 93.242, 93.279, 93.286, 93.361, 93.396, 93.846, 93.847, 93.853, 93.859, 93.865, 93.866, 93.867, 93.879.
• This funding opportunity was created on Nov 20, 2020.
• Applicants must submit their applications by Feb 16, 2021. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Each selected applicant is eligible to receive up to $1,200,000.00 in funding.
• The number of recipients for this funding is limited to 16 candidate(s).
• Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).

Apply for 21 530

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