Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is a grant from the National Science Foundation that funds research at the intersection of computer science, engineering, mathematics, and biomedical and health sciences.

The program is a joint initiative between NSF and the National Institutes of Health, involving multiple NIH institutes including the National Cancer Institute, National Institute on Aging, National Institute of Mental Health, and many others.

The solicitation (NSF 25-542) spans multiple NSF directorates including Computer and Information Science and Engineering, Engineering, Mathematical and Physical Sciences, and Social, Behavioral and Economic Sciences. Eligible applicants include U.S. institutions of higher education and non-profit, non-academic organizations. The program is not currently accepting proposals and is awaiting a new solicitation.

NSF 25-542: Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) | NSF - U.S. National Science Foundation Not currently accepting proposals This program is awaiting a new solicitation and is not currently accepting proposals.

NSF 25-542: Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) To save a PDF of this solicitation, select Print to PDF in your browser's print options.

Program Solicitation NSF 25-542 U.S. National Science Foundation Directorate for Computer and Information Science and Engineering Division of Information and Intelligent Systems Division of Computer and Network Systems Division of Computing and Communication Foundations Directorate for Engineering Division of Civil, Mechanical and Manufacturing Innovation Directorate for Mathematical and Physical Sciences Division of Mathematical Sciences Directorate for Social, Behavioral and Economic Sciences Division of Behavioral and Cognitive Sciences National Institutes of Health Office of Data Science Strategy Office of Behavioral and Social National Center for Complementary and Integrative Health National Cancer Institute National Institute on Aging National Institute of Allergy and Infectious Diseases National Institute of Arthritis and Musculoskeletal and Skin Disease National Institute of Biomedical Imaging and Bioengineering Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institute on Drug Abuse National Institute on Deafness and Other Communication Disorders National Institute of Dental and Craniofacial Research National Institute of Diabetes and Digestive and Kidney Diseases National Institute of Environmental Health Sciences National Institute of Mental Health National Institute of Neurological Disorders and Stroke National Institute of Nursing Research National Library of Medicine National Heart, Lung, and Blood Institute National Institute on Minority Health and Health Disparities National Center for Advancing Translational Sciences Office of Disease Prevention Office of Nutrition Research Office of Research on Women's Health Full Proposal Deadline(s) (due by 5 p.

m. submitting organization's local time): Important Information And Revision Notes The Smart Health program solicitation has been revised and prospective Principal Investigators (PIs) are encouraged to read the solicitation carefully.

Among the changes are the following: Themes areas have been revised; Changes have been made to the participating National Institutes of Health's Institutes and Centers; and, Proposal deadlines have been revised.

Any proposal submitted in response to this solicitation should be submitted in accordance with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted.

The NSF PAPPG is regularly revised and it is the responsibility of the proposer to ensure that the proposal meets the requirements specified in this solicitation and the applicable version of the PAPPG. Submitting a proposal prior to a specified deadline does not negate this requirement.

Summary Of Program Requirements Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) The purpose of this interagency program solicitation is to support the development of transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities.

Transformations hinge on scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze and interpret data from individuals, devices and systems to enable discovery and optimize health.

Solutions to these complex biomedical or public health problems demand the formation of interdisciplinary teams that are ready to address these issues, while advancing fundamental science and engineering. Broadening Participation In STEM: NSF has a mandate to broaden participation in science and engineering, as articulated and reaffirmed in law since 1950.

Congress has charged NSF to "develop intellectual capital, both people and ideas, with particular emphasis on groups and regions that traditionally have not participated fully in science, mathematics, and engineering." Cognizant Program Officer(s): Please note that the following information is current at the time of publishing. See program website for any updates to the points of contact.

Goli Yamini, Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems, telephone: 703-292-5367, email: sch-correspondence@nsf. gov Shivani Sharma, Directorate for Engineering, Division of Civil, Mechanical and Manufacturing Innovation, telephone: 703-292-4204, email: sch-correspondence@nsf. gov Christopher C.

Yang, Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems, telephone: 703-292-8111, email: sch-correspondence@nsf. gov James E. Fowler, Computer and Information Science and Engineering, Computing and Communication Foundations, telephone: 703-292-8910, email: sch-correspondence@nsf.

gov Sylvia Spengler, Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems, telephone: 703-292-8930, email: sch-correspondence@nsf. gov Betty K. Tuller, Social, Behavioral and Economic Sciences Directorate, Division of Behavioral and Cognitive Sciences, telephone: 703-292-7238, email: sch-correspondence@nsf.

gov Oleg V. Sokolsky, Program Contact, telephone: (703) 292-4760, email: sch-correspondence@nsf. gov Dana Wolff-Hughes, National Cancer Institute (NCI), telephone: 240-620-0673, email: dana.

wolff@nih. gov James Gao, National Eye Institute (NEI), NIH, telephone: 301-594-6074, email: james. gao@nih.

gov Emrin Horguslouglu, National Center for Complementary and Integrative Health (NCCIH), telephone: 240-383-5302, email: emrin. horgusluoglu-moloch@nih. gov Aron Marquitz, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), telephone: 301-435-1240, email: aron.

marquitz@nih. gov Noffisat Oki, National Institute of Dental and Craniofacial Research (NIDCR), telephone: 301-402-6778, email: noffisat. oki@nih.

gov Susan Wright, National Institute on Drug Abuse (NIDA), NIH, telephone: 301-402-6683, email: Susan. wright@nih. gov Roger Miller, National Institute on Deafness and Other Communication Disorders (NIDCD), NIH, telephone: 301-402-3458, email: millerr@nidcd.

nih. gov Xujing Wang, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, telephone: 301-451-2682, email: xujing. wang@nih.

gov Christopher Duncan, National Institute of Environmental Health Sciences (NIEHS), NIH, telephone: 984-287-3256, email: christopher. duncan@NIH. gov Deborah Duran, National Institute on Minority Health and Health Disparities (NIMHD), NIH, telephone: 301-594-9809, email: deborah.

duran@nih. gov Bill Duval, National Institute of Nursing Research (NINR), NIH, telephone: 301-435-0380, email: bill. duval@nih.

gov Joseph Monaco, Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative, telephone: 301-402-3823, email: Joseph. monaco@nih. gov Robert Cregg, Office of AIDS Research (OAR), telephone: 301-761-7557, email: Robert.

Cregg@nih. gov David Leitman, National Institute of Mental Health (NIMH), telephone: 301-827-6131, email: david. leitman@nih.

gov Jacqueline Lloyd, Office of Disease Prevention (ODP), telephone: 301-827-5559, email: lloydj2@nih. gov Nicholas Jury, Office of Nutrition Research (ONR), telephone: 301-827-1234, email: nicholas. jury@nih.

gov Jamie White, Office of Research on Women’s Health (ORWH), telephone: 301-496-9200, email: jamie. white@nih. gov Adam Berger, Office of Science Policy (OSP), telephone: 301-827-9676, email: adam.

berger@nih. gov Christopher Hartshorn, National Center for Advancing Translational Sciences (NCATS), telephone: 301-402-0264, email: christopher. hartshorn@nih.

gov Lyndon Joseph, National Institute on Aging (NIA), telephone: 301-496-6761, email: lyndon. joseph@nih. gov Goutham Reddy, National Library of Medicine (NLM), telephone: 301-827-6728, email: goutham.

reddy@nih. gov Julia Berzhanskaya, National Heart, Lung, and Blood Institute (NHLBI), NIH, telephone: 301-443-3707, email: julia. berzhanskaya@nih.

gov Fenglou Mao, Office of Data Science Strategy (ODSS), Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI), telephone: 301-451-9389, email: fenglou. mao@nih. gov Leslie C.

Osborne, National Institute of Neurological Disorders and Stroke (NINDS), telephone: 240-921-135, email: leslie. osborne@nih. gov Qi Duan, National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH, telephone: 301-827-4674, email: Qi.

Duan@NIH. gov Samantha Calabrese, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, telephone: 301-827-7568, email: samantha. calabrese@nih.

gov Applicable Catalog of Federal Domestic Assistance (CFDA) Number(s): 47. 049 --- Mathematical and Physical Sciences 47. 070 --- Computer and Information Science and Engineering 47.

075 --- Social Behavioral and Economic Sciences 93. 121 --- National Institute of Dental and Craniofacial Research 93. 173 --- National Institute on Deafness and Other Communication Disorders 93.

213 --- National Center for Complementary and Integrative Health 93. 242 --- National Institute of Mental Health 93. 279 --- National Institute on Drug Abuse 93.

286 --- National Institute of Biomedical Imaging and Bioengineering 93. 310 --- NIH Office of Data Science Strategy 93. 350 --- National Center for Advancing Translational Sciences 93.

361 --- National Institute of Nursing Research 93. 396 --- National Cancer Institute 93. 846 --- National Institute of Arthritis and Musculoskeletal and Skin Disease 93.

847 --- National Institute of Diabetes and Digestive and Kidney Diseases 93. 853 --- National Institute of Neurological Disorders and Stroke 93. 865 --- Eunice Kennedy Shriver National Institute of Child Health and Human Development 93.

866 --- National Institute on Aging 93. 867 --- National Eye Institute 93. 879 --- National Library of Medicine Anticipated Type of Award: Standard Grant or Continuing Grant or Cooperative Agreement Estimated Number of Awards: 10 to 16 per year, subject to the availability of funds.

Projects will be funded for up to four years for a total of $1,200,000 ($300,000 per year). Anticipated Funding Amount: $15,000,000 to $20,000,000 will be invested in proposals submitted to this solicitation in each year of the solicitation, subject to the availability of funds and the quality of the proposals received.

Who May Submit Proposals: Proposals may only be submitted by the following: Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.

Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.

Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. There are no restrictions or limits. Limit on Number of Proposals per Organization: There are no restrictions or limits.

Limit on Number of Proposals per PI or co-PI: 2 In each annual competition, an investigator may participate as Principal Investigator (PI), co-Principal Investigator (co-PI), Project Director (PD), Senior/Key Personnel or Consultant in no more than two proposals submitted in response to each annual deadline in this solicitation. These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently .

In the event that an individual exceeds this limit, proposals received within the limit will be accepted based on earliest date and time of proposal submission (i.e., the first two proposals received will be accepted, and the remainder will be returned without review). No exceptions will be made.

Proposals submitted in response to this solicitation may not duplicate or be substantially similar to other proposals concurrently under consideration by NSF or NIH programs or study sections. Duplicate or substantially similar proposals will be returned without review.

NIH will not accept any application that is essentially the same as one already reviewed within the past 37 months (as described in the NIH Grants Policy Statement ), except for submission: To an NIH Requests for Applications (RFA) of an application that was submitted previously as an investigator-initiated application but not paid; Of an NIH investigator-initiated application that was originally submitted to an RFA but not paid; or Of an NIH application with a changed grant activity code.

Proposal Preparation and Submission Instructions A. Proposal Preparation Instructions Letters of Intent: Not required Preliminary Proposal Submission: Not required Full Proposals submitted via Research. gov: NSF Proposal and Award Policies and Procedures Guide (PAPPG) guidelines apply.

The complete text of the PAPPG is available electronically on the NSF website at: https://www. nsf. gov/publications/pub_summ.

jsp? ods_key=pappg . Full Proposals submitted via Grants.

gov: NSF Grants. gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants. gov guidelines apply (Note: The NSF Grants.

gov Application Guide is available on the Grants. gov website and on the NSF website at: https://www. nsf.

gov/publications/pub_summ. jsp? ods_key=grantsgovguide ).

Cost Sharing Requirements: Inclusion of voluntary committed cost sharing is prohibited. Indirect Cost (F&A) Limitations: For NSF, Proposal & Award Policies & Procedures Guide (PAPPG) Guidelines apply. For NIH, indirect costs on foreign subawards/subcontracts will be limited to eight (8) percent.

Other Budgetary Limitations: Other budgetary limitations apply. Please see the full text of this solicitation for further information. Full Proposal Deadline(s) (due by 5 p.

m. submitting organization's local time): Proposal Review Information Criteria National Science Board approved criteria apply. Award Administration Information Additional award conditions apply.

Please see the full text of this solicitation for further information. Additional reporting requirements apply. Please see the full text of this solicitation for further information.

These anticipated transformations hinge on scientific and engineering innovations by interdisciplinary teams that intelligently collect, connect, analyze and interpret data from individuals, devices, and systems to enable discovery and optimize health.

Technical challenges include a range of issues, including effective data generation, analysis and automation for a range of biomedical devices (from imaging through medical devices) and systems (e.g., electronic health records) and consumer devices (including the Internet of Things), as well as new technology to generate knowledge.

Underlying these challenges are many fundamental scientific and engineering issues that require investment in interdisciplinary research to actualize the transformations, which is the goal of this solicitation. This interagency solicitation is a collaboration between NSF and the NIH.

The Smart Health program supports innovative, high-risk/high-reward research with the promise of disruptive transformations in biomedical and public health research, which can only be achieved by well-coordinated, convergent, and interdisciplinary approaches that draw from multiple domains of computer and information science, engineering, mathematical sciences and the biomedical, social, behavioral, and economic sciences.

Therefore, the work to be funded by this solicitation must make fundamental scientific or engineering contributions to two or more disciplines , such as computer or information sciences, engineering, mathematical sciences, statistics, social, behavioral, or cognitive sciences to improve fundamental understanding of human biological, biomedical, public health and/or health-related processes and address a key health problem.

The research teams must include members with appropriate and demonstrable expertise in the major areas involved in the work. Traditional disease-centric medical, clinical, pharmacological, biological or physiological studies and evaluations are outside the scope of this solicitation.

In addition, fundamental biological research with humans that also does not advance other fundamental science or engineering areas is out of scope for this program. Finally, proposals addressing health indirectly in the education or work environment are also out of scope.

Generating these transformations will require fundamental research and development of new tools, workflows and methods across many dimensions; some of the themes are highlighted below. These themes should be seen as examples and not exhaustive. 1.

Fairness and Trustworthiness : Advancing fairness and trustworthiness in modeling in AI/ML is a highly interdisciplinary endeavor. Real world considerations go beyond the analytics and can inform new directions for computational science to better realize the benefits of algorithmic and data fairness and trustworthiness.

The complexity of biomedical and health systems requires deeper understanding of causality in AI/ML models; new ways of integrating social and economic data to optimize health, such as disease heterogeneity, disease prevention, resilience, and treatment response, while systematically accounting for a broad range of uncertainties; and new insights into human-AI systems for clinical decision support.

In general, this thrust supports the conduct of fundamental computational research into theories, techniques, and methodologies that go well beyond today's capabilities and are motivated by challenges and requirements in biomedical applications. 2.

Transformative Analytics in Biomedical and Behavioral Research : As biomedical and behavioral research continues to generate large amount of multi-level and multi-scale data (e.g., clinical, imaging, personal, social, contextual, environmental, and organizational data), challenges remain.

New development in areas such as artificial intelligence and machine learning (AI/ML), natural language technologies (NLT), mathematics and statistics and/or quantum information science (QIS) also bring opportunities to address important biomedical and behavioral problems.

This theme will support efforts to push forward the current frontline of AI/ML and advanced analytics for biomedical and behavioral research including: novel data reduction methods; new robust knowledge representations, visualizations, reasoning algorithms, optimization, modeling and inference methods to support development of innovative models for the study of health and disease; new computational approaches with provable mathematical guarantees for fusion and analysis of complex behavioral, biomedical and image data to improve inference accuracy, especially in scenarios of noisy and limited data records; novel explainable and interpretable AI/ML model development; advanced data management systems with the capability to deal with security, privacy and provenance issues; novel data systems to build a connected and modernized biomedical data ecosystem; development of novel technologies to extract information from unstructured text data such as clinical notes, radiology and pathology reports; development of novel simulation and modeling methods to aid in the design and evaluation of new assessments, treatments and medical devices; and novel QIS approaches to unique challenges in biomedical and behavioral research.

3. Next Generation Multimodal and Reconfigurable Sensing Systems : This theme addresses the need for new multimodal and reconfigurable sensing systems/platforms and analytics to generate predictive and personalized models of health.

The next generation of sensor systems for smart health must have just-in-time monitoring of biomarkers from multiple sensor modalities (e.g., electrochemical, electromagnetic, mechanical, optical, acoustic, etc.) interfaced with different platforms (e.g., mobile, wearable, and implantable).

Existing sensor systems generally operate either in discrete formats or with limited inter-connectivity, and are limited in accuracy, selectivity, reliability and data throughput. Those limitations can be overcome by integrating heterogeneous sensing modalities and by having field-adaptive reconfigurable sensor microsystems.

This theme encourages the design and fabrication of multimodal and/or reconfigurable sensor systems through innovative research on novel functional materials, devices and circuits for sensing or active interrogation of system states, imaging, communications, and computing. Areas of interest include miniaturized sensor microsystems with integrated signal processing and communication functionalities.

Another area of interest is multimodal or reconfigurable sensor systems with dramatically reduced power consumption to extend battery lifetime and enable self-powered operation, making the sensor systems suitable for wearable and implantable applications. Other areas of interest include real-time monitoring of analytes and new biorecognition elements that can be reconfigured to target different analytes on-demand.

This thrust also requires researchers to integrate data generated by the multimodal sensor systems, as well as data from other sources, such as laboratory generated data (e.g., genomics, proteomics, etc.), patient-reported outcomes, electronic health records, and existing data sources. 4. Cyber-Physical Systems : Development and adoption of automation has lagged in the biomedical and public health communities.

Cyber-physical systems (CPS) are controlled systems built from, and dependent upon, the seamless integration of computation and physical components. These data-rich systems enable new and higher degrees of automation and autonomy.

Thus, this theme supports work that enables the creation of closed-loop or human-in- the-loop CPS systems to assess, treat and reduce adverse health events or behaviors, with core research areas including control, data analytics, and machine learning including real-time learning for control, autonomy, design, Internet of Things (IoT), networking, privacy, real-time systems, safety, security, and verification.

Finally, development of automated technology that can be utilized across a range of settings (e.g., home, primary care, schools, criminal justice system, child welfare agencies, community-based organizations) to optimize the delivery of effective health interventions is also within scope of the theme. 5.

Robotics: This theme addresses the need for novel robotics to provide support and/or automation to enhance health, lengthen lifespan and reduce illness, enhance social connectedness and reduce disabilities. The theme encourages research on robotic systems that exhibit significant levels of both computational capability and physical complexity.

Robots are defined as intelligence embodied in an engineered construct, with the ability to process information, sense, plan, and move within or substantially alter its working environment. Here intelligence includes a broad class of methods that enable a robot to solve problems or to make contextually appropriate decisions and act upon them.

Currently, robotic devices in health have focused on limited areas (e.g., surgical robotics and exoskeletons). This theme welcomes a wide range of robotic areas, as well as research that considers inextricably interwoven questions of intelligence, computation, and embodiment. The next generation of robotic systems for smart health will need to also have to consider human-robot interaction to enhance usability and effectiveness.

6. Biomedical Image interpretation . This theme's goal is to determine how characteristics of human pattern recognition, visual search, perceptual learning, attentional biases, etc. can inform and improve image interpretation.

This theme would include using and developing presentation modalities (e.g., pathologists reading optical slides through a microscope vs. digital whole-slide imagery) and identifying the sources of inter- and intra-observer variability. The theme encourages development of models of how multi-modal contextual information (e.g., integrating patient history, omics, etc. with imaging data) changes the perception of complex images.

It also supports new methods to exploit experts' implicit knowledge to improve perceptual decision making (e.g., via rapid gist extraction, context-guided search, etc.). Research on optimal methods for conveying 3D (and 4D) information about anatomy and physiology to human observers is also welcome. This theme also supports advances in image data compression algorithm development to enable more efficient data storage.

The above listed themes are to provide examples for possible research activities that may be supported by this solicitation, but by no means should the proposed research activities be restricted to these themes. These research themes are clearly not mutually exclusive, and a given project may address multiple themes.

This solicitation aims to support research activities that complement rather than duplicate the core programs of the NSF Directorates and the NIH Institutes and Centers and the research efforts supported by other agencies such as the Agency for Healthcare Research and Quality. NSF supports investigation of fundamental research questions with broadly applicable results. The Smart Health program supports research evaluation with humans.

Because advancing fundamental science is early-stage research, randomized control trials are not appropriate for this solicitation and will not be funded. Research that has advanced to a stage that requires randomized control trials should be submitted to an agency whose mission is to improve health.

Proposals submitted to this solicitation must be integrative and undertake research addressing key application areas by solving problems in multiple scientific domains. The work must make fundamental scientific or engineering contributions to two or more disciplines , such as computer or information sciences, engineering, mathematical sciences, social, behavioral, cognitive and/or economic sciences and address a key health problem.

For example, these projects are expected to advance understanding of how computing, engineering and mathematics, combined with advances in behavioral and social science research, would support transformations in health, medicine and/or healthcare and improve the quality of life. Projects are expected to include students and postdocs.

Project descriptions must be comprehensive and well-integrated, and should make a convincing case that the collaborative contributions of the project team will be greater than the sum of each of their individual contributions. Collaborations with researchers in the health application domains are required. Such collaborations typically involve multiple institutions, but this is not required.

Because the successes of collaborative research efforts are known to depend on thoughtful collaboration mechanisms that regularly bring together the various participants of the project, a Collaboration Plan is required for ALL proposals . Projects will be funded for up to a four-year period and for up to a total of $300,000 per year. The proposed budget should be commensurate with the corresponding scope of work.

Rationale must be provided to explain why a budget of the requested size is required to carry out the proposed work. Estimated program budget, number of awards and average award size/duration are subject to the availability of funds. An estimated 10 to 16 projects will be funded, subject to availability of funds.

Up to $15,000,000-20,000,000 of NSF funds will be invested in proposals submitted to this solicitation. The number of awards and program budgets are subject to the availability of funds. All awards under this solicitation made by NSF will be as grants or cooperative agreements as determined by the supporting agency.

All awards under this solicitation made by NIH will be as grants or cooperative agreements. Scientists from all disciplines are encouraged to participate. Projects will be awarded depending on the availability of funds and with consideration for creating a balanced overall portfolio.

IV. Eligibility Information Who May Submit Proposals: Proposals may only be submitted by the following: Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.

Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.

Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. There are no restrictions or limits. Limit on Number of Proposals per Organization: There are no restrictions or limits.

Limit on Number of Proposals per PI or co-PI: 2 In each annual competition, an investigator may participate as Principal Investigator (PI), co-Principal Investigator (co-PI), Project Director (PD), Senior/Key Personnel or Consultant in no more than two proposals submitted in response to each annual deadline in this solicitation. These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently .

In the event that an individual exceeds this limit, proposals received within the limit will be accepted based on earliest date and time of proposal submission (i.e., the first two proposals received will be accepted, and the remainder will be returned without review). No exceptions will be made.

Proposals submitted in response to this solicitation may not duplicate or be substantially similar to other proposals concurrently under consideration by NSF or NIH programs or study sections. Duplicate or substantially similar proposals will be returned without review.

NIH will not accept any application that is essentially the same as one already reviewed within the past 37 months (as described in the NIH Grants Policy Statement ), except for submission: To an NIH Requests for Applications (RFA) of an application that was submitted previously as an investigator-initiated application but not paid; Of an NIH investigator-initiated application that was originally submitted to an RFA but not paid; or Of an NIH application with a changed grant activity code.

V. Proposal Preparation And Submission Instructions A. Proposal Preparation Instructions Full Proposal Preparation Instructions : Proposers may opt to submit proposals in response to this Program Solicitation via Research.

gov or Grants. gov. Full Proposals submitted via Research. gov: Proposals submitted in response to this program solicitation should be prepared and submitted in accordance with the general guidelines contained in the NSF Proposal and Award Policies and Procedures Guide (PAPPG).

The complete text of the PAPPG is available electronically on the NSF website at: https://www. nsf. gov/publications/pub_summ.

jsp? ods_key=pappg . Paper copies of the PAPPG may be obtained from the NSF Publications Clearinghouse, telephone (703) 292-8134 or by e-mail from nsfpubs@nsf.

gov . The Prepare New Proposal setup will prompt you for the program solicitation number. Full proposals submitted via Grants.

gov: Proposals submitted in response to this program solicitation via Grants. gov should be prepared and submitted in accordance with the NSF Grants. gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.

gov . The complete text of the NSF Grants. gov Application Guide is available on the Grants.

gov website and on the NSF website at: ( https://www. nsf. gov/publications/pub_summ.

jsp? ods_key=grantsgovguide ). To obtain copies of the Application Guide and Application Forms Package, click on the Apply tab on the Grants.

gov site, then click on the Apply Step 1: Download a Grant Application Package and Application Instructions link and enter the funding opportunity number, (the program solicitation number without the NSF prefix) and press the Download Package button. Paper copies of the Grants. gov Application Guide also may be obtained from the NSF Publications Clearinghouse, telephone (703) 292-8134 or by e-mail from nsfpubs@nsf.

gov . In determining which method to utilize in the electronic preparation and submission of the proposal, please note the following: Collaborative Proposals. All collaborative proposals submitted as separate submissions from multiple organizations must be submitted via Research.

gov. PAPPG Chapter II. E. 3 provides additional information on collaborative proposals.

See PAPPG Chapter II. D. 2 for guidance on the required sections of a full research proposal submitted to NSF.

Please note that the proposal preparation instructions provided in this program solicitation may deviate from the PAPPG instructions. The following information SUPPLEMENTS (note that it does NOT replace) the guidelines provided in the NSF Proposal & Award Policies & Procedures Guide (PAPPG). Proposal Titles: Proposal titles must begin with SCH , followed by a colon and the title of the project (i.e., SCH: Title ).

If you submit a proposal as part of a set of collaborative proposals, the title of the proposal should begin with Collaborative Research followed by a colon, then SCH followed by a colon, and the title. For example, if you are submitting a collaborative set of proposals, then the title of each would be Collaborative Research: SCH: Title.

Proposals from PIs in institutions that have Research in Undergraduate Institutions (RUI) eligibility should have a proposal title that begins with Collaborative Research (if applicable), followed by a colon, then SCH followed by a colon, then RUI followed by a colon, and then the title, for example, Collaborative Research: SCH: RUI: Title.

Project Summary (1 page limit): The Project Summary must include three labeled sections: Overview, Intellectual Merit and Broader Impacts. At the beginning of the Overview section of the Project Summary enter the title of the Smart Health project, the name of the PI and the lead institution. The overview includes a description of the project.

Intellectual Merit should describe the transformative research and the potential of the proposed activity to advance knowledge. Broader Impacts should describe the potential of the proposed activity to benefit society and contribute to the achievement of specific, desired societal outcomes. The Broader Impacts can include education goals, and the community (communities) that will be impacted by its results.

Project Description: There is a 15-page limit for all proposals. Within the project description, include a section labeled 'Evaluation Plan' that includes a description of how the team will evaluate the proposed science/engineering . This plan could include results from applications of the research to specific outcomes in health domain, efficacy studies, assessments of learning and engagement, and other such evaluation.

The proposed Evaluation Plan should be appropriate for the size and scope of the project. Please note that the Collaboration Plan must be submitted as a Supplementary Document for this solicitation; see guidance below. Proposal Budget: It is expected that the