Opportunity Information: Apply for 18 541
The Smart and Connected Health (SCH) grant opportunity is an interagency research program led by the National Science Foundation (NSF) in partnership with federal health research agencies, including the National Institutes of Health (NIH). Its core aim is to speed up the creation and real-world integration of advanced computing and information science approaches that can meaningfully transform health, medicine, and healthcare delivery. The program is built around the idea that major improvements in health outcomes will come from pairing technology-driven innovation with biomedical and biobehavioral research, rather than treating health technology as a purely engineering problem or treating health research as separate from modern data and computing systems.
The solicitation targets next-generation, multidisciplinary science and is intentionally broad in the types of technical and scientific breakthroughs it wants to encourage. Priority areas include networking and connected systems that can move health data securely and reliably; pervasive and mobile computing that supports care anywhere, not just in clinical settings; advanced analytics such as machine learning and other data-driven methods that can extract actionable insights from complex health data; sensor integration and cyberphysical systems that bring together wearable devices, environmental sensors, and clinical instruments; and strong privacy and security methods appropriate for sensitive medical information. It also explicitly calls for modeling that accounts for human behavior, socio-behavioral dynamics, and cognitive processes, recognizing that health interventions succeed or fail partly because of how people make decisions, comply with treatment, and interact with technologies. In addition, the program encourages system and process modeling to improve how healthcare workflows operate, how care is coordinated, and how health systems can adapt to new tools and practices.
A key theme throughout SCH is that impactful solutions must work under real constraints. Proposed systems and methods should account for clinical and medical needs, barriers to adoption and change in healthcare environments, and the messy reality of heterogeneous data sources, inconsistent formats, and semantic mismatches across platforms and institutions. The solicitation also highlights limitations in current cyberphysical systems and the growing pressures associated with an aging population, which often increases complexity of care and raises the importance of continuous monitoring, home-based support, and coordinated services. Because of these challenges, SCH expects teams that can cover the full range from foundational computer and information science and engineering to practical medical and public health considerations, with designs that anticipate deployment, usability, and real-world impact.
The program frames itself as both rigorous and ambitious. It emphasizes a coordinated approach that balances theory with evidence-based analysis, values systematic advances while still pushing for genuinely disruptive ideas, and expects cross-disciplinary collaboration that leads to new fundamental insights. Importantly, it encourages empirical validation through research prototypes. These prototypes can be narrow, such as a key algorithmic component or security mechanism, or broad, such as an end-to-end connected health system tested in realistic conditions. In other words, the solicitation is not only looking for promising concepts on paper; it wants credible demonstrations that new approaches can work and can be evaluated in ways that matter for health contexts.
From an application standpoint, the solicitation is focused on high-risk, high-reward research that combines computing, engineering, and technology with behavior and cognition to advance health and medical research. It strongly encourages collaborations among academia, industry, and other organizations to tighten the link between fundamental research and the realities of healthcare practice, technology development, deployment, and adoption. The program is aligned with national-level calls for new partnerships that can drive major changes in health and medicine, and it positions itself as foundational research intended to enable those large-scale shifts rather than incremental, isolated improvements.
This particular opportunity (Funding Opportunity Number 18-541) is categorized as a discretionary grant in the science and technology research and development space, administered by NSF, with multiple CFDA numbers reflecting the multi-agency nature of the program. The opportunity anticipated around 16 awards, and the solicitation specifies that only Integrative (INT) proposals are eligible. These integrative projects must involve multidisciplinary teams and can span up to four years, reinforcing the program’s expectation that meaningful smart and connected health advances require sustained, coordinated work across technical, clinical, and human-centered domains. The eligibility language is listed as “Others (see additional information),” signaling that applicants should confirm eligibility details in the full solicitation text, especially given the interagency structure and the emphasis on cross-sector collaboration.Apply for 18 541
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Smart and Connected Health" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041, 47.070, 47.075, 93.172, 93.242, 93.273, 93.286, 93.396, 93.853, 93.866, 93.879.
- This funding opportunity was created on Feb 21, 2018.
- Applicants must submit their applications by May 22, 2018. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- 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).
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Smart and Connected Health (SCH) Grant (NSF/NIH and Partner Agencies) - FAQs
What is the Smart and Connected Health (SCH) program?
SCH is an interagency research program led by the National Science Foundation (NSF) in partnership with federal health research agencies, including the National Institutes of Health (NIH). It supports research that accelerates the creation and real-world integration of advanced computing and information science approaches that can transform health, medicine, and healthcare delivery.
What is the core goal of SCH?
The program aims to speed up both the development and practical adoption of technology-enabled approaches that lead to meaningful improvements in health outcomes and healthcare delivery, not just technical progress in isolation.
How does SCH define "smart and connected health" in practice?
SCH emphasizes pairing technology-driven innovation with biomedical and biobehavioral research. The solicitation frames health innovation as something that requires computing and information science advances alongside an understanding of clinical realities and human behavior, rather than treating health technology as purely an engineering problem.
Who leads and administers this grant opportunity?
This opportunity is administered by NSF and is part of a multi-agency effort that includes federal health research agencies such as NIH.
What is the Funding Opportunity Number for this solicitation?
The Funding Opportunity Number listed for this opportunity is 18-541.
What type of funding mechanism is SCH using here?
It is categorized as a discretionary grant in the science and technology research and development space.
About how many awards does the solicitation anticipate making?
The opportunity anticipates around 16 awards.
What proposal types are eligible under this solicitation?
The solicitation specifies that only Integrative (INT) proposals are eligible.
What does it mean that only Integrative (INT) proposals are eligible?
Based on the solicitation summary provided, Integrative (INT) proposals are expected to be multidisciplinary projects involving teams that span technical computing and engineering expertise and health-relevant domains (such as clinical, public health, and human-centered/behavioral perspectives). The emphasis is on coordinated work that connects these areas rather than isolated contributions.
How long can SCH integrative projects last?
Integrative projects can span up to four years.
What kinds of research does SCH prioritize?
The solicitation is intentionally broad, but it highlights next-generation, multidisciplinary breakthroughs across areas such as secure and reliable networking for health data, pervasive and mobile computing for care outside traditional clinical settings, advanced analytics (including machine learning), sensor integration and cyberphysical systems, and privacy and security methods designed for sensitive medical information.
Does SCH support research involving machine learning and advanced analytics?
Yes. The solicitation explicitly lists advanced analytics, including machine learning and other data-driven methods, as a priority area for extracting actionable insights from complex health data.
Are mobile, pervasive, or at-home care technologies within SCH scope?
Yes. SCH highlights pervasive and mobile computing that supports care anywhere, not only in clinical settings, and it also notes pressures such as an aging population that increase the importance of continuous monitoring, home-based support, and coordinated services.
Is privacy and security a major focus area?
Yes. The solicitation calls for strong privacy and security methods appropriate for sensitive medical information and also mentions secure and reliable movement of health data through networking and connected systems.
What does SCH mean by sensor integration and cyberphysical systems?
The solicitation describes work that brings together wearable devices, environmental sensors, and clinical instruments into integrated systems, recognizing that connected health often requires coordinated sensing, computing, and action in real-world environments.
Why does SCH emphasize human behavior, socio-behavioral dynamics, and cognition?
The program explicitly recognizes that health interventions can succeed or fail based on how people make decisions, comply with treatment, and interact with technologies. For that reason, it calls for modeling that accounts for human behavior and cognitive processes, not just technical system performance.
Does SCH include healthcare workflow or process improvement research?
Yes. The solicitation encourages system and process modeling to improve healthcare workflows, care coordination, and the ability of health systems to adapt to new tools and practices.
How important is real-world deployment and usability in SCH proposals?
Very important. The solicitation stresses that impactful solutions must work under real constraints, including clinical and medical needs, barriers to adoption, and the practical realities of healthcare environments. It highlights usability, deployment considerations, and real-world impact as key expectations.
What kinds of real-world data challenges does SCH expect projects to address?
The program highlights the "messy reality" of heterogeneous data sources, inconsistent formats, and semantic mismatches across platforms and institutions. Projects are expected to account for these constraints rather than assuming clean, uniform data.
Does SCH favor incremental improvements or disruptive ideas?
The program positions itself as both rigorous and ambitious: it values systematic advances but also aims to push genuinely disruptive ideas. The solicitation describes SCH as foundational research intended to enable large-scale shifts rather than isolated, incremental changes.
Is prototype development and testing expected?
Yes. The solicitation encourages empirical validation through research prototypes. These can be narrow (for example, a key algorithmic component or security mechanism) or broad (for example, an end-to-end connected health system tested under realistic conditions).
Do proposals need to show evidence-based analysis?
The program emphasizes a coordinated approach that balances theory with evidence-based analysis. It also stresses credible demonstrations and evaluation approaches that matter in health contexts, rather than concepts that only look promising on paper.
What does SCH mean by "high-risk, high-reward" research?
In the context provided, SCH is focused on ambitious research that combines computing, engineering, and technology with behavior and cognition to advance health and medical research, aiming for major advances that may require taking on harder, less certain technical and translational challenges.
Are collaborations encouraged, and if so, between whom?
Yes. The solicitation strongly encourages collaborations among academia, industry, and other organizations to strengthen the connection between fundamental research and the practical realities of healthcare practice, technology development, deployment, and adoption.
What does the solicitation suggest about cross-disciplinary teams?
SCH expects teams that can cover the full range from foundational computer and information science and engineering to practical medical and public health considerations, with human-centered and behavioral expertise reflected in the project where relevant.
What role does an aging population play in SCH priorities?
The solicitation notes growing pressures associated with an aging population, which can increase complexity of care and raise the importance of continuous monitoring, home-based support, and coordinated services. SCH encourages work that is realistic about these pressures and constraints.
What is meant by the program being "interagency"?
Interagency means the program is led by NSF while involving partner federal health research agencies (including NIH). The opportunity also references multiple CFDA numbers, reflecting this multi-agency nature.
What are CFDA numbers, and why are multiple CFDA numbers mentioned?
The summary notes that multiple CFDA numbers apply, which reflects the multi-agency structure of the program. (The specific CFDA numbers are not listed in the information provided.)
Who is eligible to apply?
The eligibility field is listed as "Others (see additional information)," which signals that applicants should confirm eligibility details in the full solicitation text, especially given the interagency structure and the emphasis on cross-sector collaboration.
Does the solicitation require multidisciplinary participation?
Yes. The solicitation describes integrative projects as requiring multidisciplinary teams and repeatedly emphasizes cross-disciplinary collaboration that connects computing and information science advances with biomedical, biobehavioral, clinical, and practical healthcare considerations.
What kinds of health impact is SCH trying to achieve?
The program aims for approaches that can "meaningfully transform" health, medicine, and healthcare delivery, with emphasis on real-world integration, adoption, and evaluation in health contexts.
Does SCH focus only on hospitals and clinics?
No. The solicitation specifically highlights pervasive and mobile computing and care "anywhere," and it calls out the importance of continuous monitoring and home-based support in realistic health environments.
What does SCH mean by addressing barriers to adoption and change?
The solicitation stresses that proposals should anticipate barriers to adoption in healthcare environments, recognizing that deployment and uptake are constrained by clinical needs, workflows, and human and organizational factors, not just technical feasibility.
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