Intensification of Research in High Priority Areas (IRHPA) program of Science and Engineering Research Board (SERB)

The Intensification of Research in High Priority Areas (IRHPA) program of Science and Engineering Research Board (SERB) supports proposals in high priority areas where multidisciplinary / multi-institutional expertise is required which will put our nation in international science map in that particular discipline. The Scheme is designed to provide major support to a few selected areas of research that have high priority from the viewpoint of advances in fundamental science and that can be of great significance for scientific and technological development. SERB identifies the priority areas and makes a national call for seeking proposals. The necessary facilities required for implementing the identified high priority areas will be supported through this scheme.

The project will be set up around established research groups led by a Principal Investigator (PI) with at least two co-PIs of complementary expertise from different departments / institutes to transform the program truly interdisciplinary and multi institutional. The duration of the project is normally for a period of 5 years.

Instructions for Online Application
For successful online submission of the application the following points may be noted:

  1. Principal Investigator (PI) should first register into the online website. click here to register
  2. After successful registration, user will be sent a confirmation mail on registered emaiID .User must click on the url provided in the mail to confirm registration.
  3. After log-in, Principal Investigator (PI) are required to fill all the mandatory fields in Profile Detail section under User Profile. which includes Bio-data, Photo, Institute Address etc.
  4. Ensure that all CO-PI”s in your proposal are registered into the system and has filled Profile Detail section under User Profile which includes Bio data, photo, Institute Address, etc.
  5. Some of the details of your proposal like Project Title (max 500 characters), Project summary (max 3000 characters), Keywords (max 6), Objectives of project (max 1500 characters), Expected output and outcome of the proposal (max 1500 characters), Budget (Manpower, Consumables, Travel, Equipment, Contingency, Overheads) have to be entered at the time of proposal submission.
  6. Other relevant information of the proposal has to be uploaded in single PDF file not more than 10 MB as other technical document (OTD). Download Template

 

  • Documents required (in PDF) should be in prescribed format:

 

Program Name Program Coordinator
Intensification of Research in High Priority Areas (IRHPA)

 

Grant in Artificial Intelligence

  • NIH BRAIN INITIATIVE 

    Since 2014, the Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative has aimed to accelerate the development and application of innovative neurotechnologies, enabling researchers to produce a new dynamic picture of the brain that reveals how individual cells and complex neural circuits interact in both time and space. It is expected that these advances will ultimately lead to new ways to treat and prevent brain disorders.

    As one of several federal agencies involved in the BRAIN Initiative, NIH’s contributions to the BRAIN Initiative were initially guided by “BRAIN 2025: A Scientific Vision,” a strategic plan that detailed seven high-priority research areas. This plan was updated and enhanced in 2019 by: “The BRAIN Initiative 2.0: From Cells to Circuits, Toward Cures” and “The BRAIN Initiative and Neuroethics: Enabling and Enhancing Neuroscience Advances for Society.” This and other BRAIN Initiative Notice of Funding Opportunity (NOFOs) are based on this vision and issued with input from Advisory Councils of the 10 NIH Institutes and Centers supporting the BRAIN Initiative, as assisted by the NIH BRAIN Multi-Council Working Group.

    The NIH BRAIN Initiative recognizes that diverse teams working together and capitalizing on innovative ideas and distinct perspectives outperform homogeneous teams. There are many benefits that flow from a diverse scientific workforce, including fostering scientific innovation, enhancing global competitiveness, contributing to robust learning environments, improving the quality of the research, advancing the likelihood that underserved populations participate in and benefit from research, and enhancing public trust.

    To support the best science, the NIH BRAIN Initiative encourages inclusivity in research. Examples of structures that promote diverse perspectives include but are not limited to:

    • Transdisciplinary research projects and collaborations among neuroscientists and researchers from fields such as computational biology, physics, engineering, mathematics, computer and data sciences, as well as bioethics.
    • Engagement from different types of institutions and organizations (e.g., research-intensive, undergraduate-focused, minority-serving, community-based).
    • Individual applications and partnerships that enhance geographic and regional heterogeneity.
    • Investigators and teams composed of researchers at different career stages.
    • Participation of individuals from diverse backgrounds, including groups traditionally underrepresented in the biomedical, behavioral, and clinical research workforce (see NOT-OD-20-031), such as underrepresented racial and ethnic groups, those with disabilities, those from disadvantaged backgrounds, and women.
    • Project-based opportunities to enhance the research environment to benefit early- and mid-career investigators.

    The NIH also encourages businesses to participate in the BRAIN Initiative. It is possible for companies to submit applications directly to BRAIN Initiative program announcements or to collaborate with academic researchers in joint submissions. Small businesses should consider applying to one of the BRAIN Initiative small business NOFOs.

    The BRAIN Initiative requires a high level of coordination and sharing between investigators. It is expected that BRAIN Initiative awardees will cooperate and coordinate their activities after awards are made by participating in Program Director/Principal Investigator (PD/PI) meetings and in other activities such as the annual BRAIN Initiative meeting. The data sharing expectations for BRAIN Initiative awards can be found at NOT-MH-19-010.

    Brain Behavior Quantification and Synchronization (BBQS)

    The two BRAIN Initiative 2.0 reports (“The BRAIN Initiative 2.0: From Cells to Circuits, Toward Cures” and “The BRAIN Initiative and Neuroethics: Enabling and Enhancing Neuroscience Advances for Society“) highlight that a critical step forward is to study “the brain in action,” including efforts to develop “tools to analyze naturalistic (untrained) and trained behaviors” and “to assimilate and link brain recordings with behavior” (p. 34 of “The BRAIN Initiative 2.0: From Cells to Circuits, Toward Cures“). Matching the scientific rigor and precision of measurements of brain activity with equally precise, temporally dense measurements of the functional output of the brain, as expressed in a broad range of behaviors, will accelerate the discovery of brain-behavior relationships in both health and disease. Achieving a comprehensive understanding across these levels of analysis demands the same level of rigor, precision of measurement, and temporal resolution across all levels.

    At present, tools for measuring behavior in humans and other species lack the necessary precision and resolution to fully capture behavioral dynamics synchronously with data from the environment with which the organism is interacting and which shapes the behavior under study. To address this gap, the BRAIN Initiative BBQS funding opportunities (e.g. RFA-MH-22-240 and RFA-DA-23-030) support 1) development of tools for simultaneous, multimodal measurement of behavior within complex, dynamic physical and/or social environments and align these data with simultaneously recorded neural activity, and 2) development of novel conceptual and computational models that capture dynamic behavior-environment relationships across multiple timescales and that can integrate correlated neural activity into the model. Potential applicants and others interested in BRAIN BBQS Funding Opportunities are encouraged to visit the NIH BRAIN Initiative website for information and guidance or email BRAINBBQS@od.nih.gov.

    BBQS Data Coordination and Artificial Intelligence Center (DCAIC)

    The BBQS research program is characterized by certain features and challenges that need to be addressed through the creation of a multi-component, cross-discipline Data Coordination and Artificial Intelligence Center (DCAIC). First, the BBQS program will generate large amounts of multi-modality data from multiple species, including humans. This may include videographic, audiographic, electrophysiologic, temperature, and other continuous data. In addition, some projects are expected to generate data related to ambulation, limb movements, facial movements, eye movements, vocalizations, glandular secretion, and peripheral physiology. These data sets and related metadata are expected to be large in size and measured across multiple timescales. All the data will be deposited into relevant BRAIN data archive(s) to share with the community as required by the BRAIN Initiative and NIH data sharing policies (NOT-MH-19-010NOT-OD-21-013). To manage such massive and diverse data, and to prepare the data for archiving, will be challenging. The necessary expertise includes both knowledge about how the data were measured along with access to appropriate computational and informatics tools and infrastructure. Often, individual laboratories do not have all of the needed knowledge or infrastructure. The DCAIC should be envisioned as providing a more cost/administration-efficient and process-consistent solution for such large-scale data management and preparation for archiving.

    The BBQS projects will employ diverse technologies and approaches to measure and collect research data under different circumstances. It is, therefore, essential to adopt a common set of standards in the (meta)data collection, description, annotation, organization, and analysis in order to ensure consistency across different studies and to make the outcomes comparable and integrable. The DCAIC will be responsible for establishing such standards across the BBQS program through a centralized coordination effort. This will be accomplished by working together with other BBQS projects and relevant BRAIN data standards projects, with inputs from the research community and consensus from the BBQS consortium. The established standards will be of great value in strengthening data interpretability and integrability within and across the consortium, while facilitating the compliance of BBQS data with the FAIR (Findable, Accessible, Interoperable and Reusable) principles.

    The BBQS program will employ a great amount of machine learning (ML) and artificial intelligence (AI) approaches in the research, which is expected to range from mapping data streams of behavior as a multidimensional response to neuronal activity, to building new conceptual models of behavioral systems, to predicting behavior that might guide intervention development or selection. It will be important for the BBQS consortium to develop a comprehensive set of ML/AI research resources. The resources will include ML/AI-ready datasets and training data, validated models, best AI practices, among others, specific to the studies. These resources will enable scientists to quickly build on and extend the results of others, and compare new experiments to state-of-the-art practices while strengthening the research rigor and reproducibility. Developing or preparing such comprehensive ML/AI resources is highly time-consuming and costly; a centralized effort by the DCAIC will be more efficient and avoid considerable duplicative efforts.

    Last but not least, the BBQS program will involve extensive data processing, analysis and modeling, and large-scale computation. It will be necessary for the consortium to develop a cloud-based computational platform that is integrated with the data repository under the same set of data standards. Such an integrated data ecosystem is expected to significantly enhance analytic capability and data reusability. The ecosystem will also promote a collaborative and consistent research environment, making scientific discovery more robust and reproducible. The ecosystem will nevertheless provide a valuable learning and working environment for students and citizen scientists.

    Resource Objectives

    The NOFO will support a single award to a multi-disciplinary team with a single or multiple PIs to create the DCAIC. Activities directed by the DCAIC will fall into five interrelated categories:1) Data Management; 2) Data Standards; 3) ML/AI Resources; 4) Data Ecosystem; and 5) Dissemination, Training, and Coordination. Each application in response to this NOFO must address all five categories of research activities.

    The DCAIC is expected to support, communicate, coordinate and collaborate with the other BBQS projects on each category of research activities. As part of this process, the DCAIC will also solicit input from various fields contributing to the behavioral and neural sciences to guide design and implementation of DCAIC components. The DCAIC is also expected to collaborate or integrate with relevant BRAIN informatics infrastructure projects, particularly data archive(s). Applicants should therefore familiarize themselves with the BBQS program (www.braininitiative.nih.gov/funding/initiatives.htm; also see the NOFOs RFA-MH-22-240 and RFA-DA-23-030), as well as the BRAIN Informatics Program (www.braininitiative.nih.gov/brain-programs/informatic; also see the NOFOs RFA-MH-20-600RFA-MH-22-145RFA-MH-21-135), in preparation of the application.

    The DCAIC team should be multidisciplinary  and is required to include scientists that contribute, specifically, broad and deep expertise in research design and analysis of high-dimensional and/or multimodal behavioral data, and expertise in collection and analysis and of high-dimensional neural data. The PD(s)/PI(s) of the DCAIC must be experienced in the coordination and management of multiple projects.

    1. Data Management

    The DCAIC will work collaboratively with other BBQS projects and BRAIN data archive(s) to manage BBQS data workflows. In the workflows, the BBQS data generation projects will first submit raw and/or processed data to the DCAIC. The DCAIC will curate and process the data, conduct necessary quality assurance (QA)/quality control (QC), and then coordinate with relevant BRAIN data archive(s) to ingest and deposit the data into the archive. The data archive will further validate, index, and harmonize the data, and make the data available for use by the scientific community. In this way, the DCAIC will serve as the organizational hub for rapid and seamless data management and sharing.

    Specific activities of the DCAIC in this category include, but are not limited to:

    • Develop or implement data quality metrics and informatics tools or pipelines that are required for data management and preparation for archiving.
    • Conduct data processing, QA/QC evaluation, harmonization, ingestion, and preparation for submission to BRAIN data archive(s).
    • Integrate or link data across modalities, scales, and species within and across different studies.
    • Track BBQS data workflows and provenance by establishing a dashboard and monitoring data use statistics and data users’ experience.
    • Establish milestones of data submission by individual projects,
    • Monitor and report to NIH the data submission and release status according to projects’ Data Sharing Plans.

    2. Data Standards

    The DCAIC will establish a catalog of standards required for BBQS studies (referred to as Standards4BBQS). This includes standards for data and metadata, along with data dictionaries and controlled vocabularies. This also includes domain-specific ontologies that capture various components of brain-behavior knowledge. This, in addition, includes standard operational procedures (SOPs) or best practices for data collection, processing, and analysis. As necessary, the DCAIC should leverage or re-use existing standards, ontologies, common data elements, well-established data collection approaches, data processing pipelines, and other tools which are suitable for BBQS studies. The DCAIC will furthermore be responsible for implementing the standards across different BBQS projects or research activities. Expectedly, all  will be performed through close collaboration and coordination with other BBQS projects, various working groups with domain experts, relevant BRAIN data standards projects, and the BBQS steering committee, with input from the research community and consensus from the BBQS consortium.

    3. ML/AI Resources

    The DCAIC will develop and deploy a series of ML/AI resources required for BBQS (referred to as AIR4BBQS). The DCAIC should target multi-modality data that are collected not only within the BBQS consortium but also by similar projects beyond the consortium and BRAIN to develop the resources. The created resources, as well as the processes for developing and preparing the resource (e.g., data curation, model training, model assessment), should be adequately documented using appropriate methods (e.g., data card, model card) to enhance transparency, accountability, and reproducibility. The models should be well validated, and the feasibility adequately tested using existing data or synthetic data. The created resources should be deposited to BRAIN data archive(s) or other public repositories and made FAIR.

    Specific activities of the DCAIC in this category include, but are not limited to:

    • Prepare or repurpose large-scale datasets for ML/AI analysis addressing key questions or challenges in BBQS.
    • Create training or benchmark datasets for ML/AI in BBQS studies.
    • Train or re-train ML/AI models that are scientifically or clinically important to BBQS studies.
    • Evaluate or compare ML/AI models or create benchmark models that are relevant to BBQS goals.
    • Generate rubrics that allow for evaluation of ML/AI-ready datasets for BBQS.
    • Establish plans or inform best practices for generating or collecting data or repurposing existing data for BBQS ML/AI studies.

    4. Data Ecosystem

    The DCAIC will develop a cloud-based computational platform that is integrated with the data archive as well as data standards for a modern data ecosystem for BBQS studies. The computational platform will be implemented with a series of uniform data processing pipelines and cutting-edge software tools for data processing, analysis, visualization, harmonization, and integration, among others. The ecosystem will be powered by AIR4BBQS for ML/AI research in particular. A cloud-based interface to the ecosystem will also be created that allows investigators to access data and conduct distributed analysis or modeling near the data. The interface will also allow BBQS researchers to install or load their own tools, models, or datasets to the platform to conduct analyses. In this case, the ecosystem will provide opportunities for researchers to create data sandboxes in the platform, where investigators can test or optimize computational pipelines or software tools, and compare their codes and analysis results with others. The computational platform and ecosystem should be user-friendly and easily accessible to the community.

    5. Dissemination, Training, and Coordination

    The DCAIC will promote broad dissemination of BBQS research resources, such as data, tools, models, methods, and protocols, to the community. This includes coordinating resource sharing across the consortium. This also includes (but is not limited to) developing or compiling tutorials, detailed walkthroughs and other materials about consortium studies, and broadly sharing those materials with the research community. The DCAIC will also organize training activities, which are primarily targeted to investigators of the BBQS awards but can be extended to researchers from BRAIN-funded training or other relevant programs. The topics of training include (but are not limited to) data processing, curation and analysis, data standards, computation on the cloud, and using the BBQS data ecosystem. The DCAIC will, moreover, develop and maintain the BBQS Web Portal, which will constitute the main entry point to consortium information, resources, and data ecosystem for internal and external communication, dissemination and training activities. With these and other efforts, the DCAIC will facilitate and promote open science approaches to BBQS. The DCAIC will, in addition, help in the overall coordination and administration of the consortium, by working with assigned NIH staff. That coordination will include (but is not limited to) organizing meetings or/and working groups, planning for publications, and maintaining consortium-relevant workflows, protocols, and documents in a single location. The DCAIC will furthermore help in addressing policy issues related to data or resource sharing and ethical or societal concerns arising from the consortium studies, under the guidance of the BRAIN ethics team and in coordination with NIH staff.

    Plan for Enhancing Diverse Perspectives (PEDP)

    This NOFO requires a Plan for Enhancing Diverse Perspectives (PEDP) as part of the application (see further below). Applicants are strongly encouraged to read the NOFO instructions carefully and view the available PEDP guidance material.  Applications must include a Plan for Enhancing Diverse Perspectives (PEDP) submitted as Other Project Information as an attachment (see Section IV). The PEDP will be assessed as part of the scientific and technical peer review evaluation, as well as considered among programmatic matters with respect to funding decisions.

    Applications Not Responsive to the NOFO

    The following applications will be considered non-responsive to the NOFO and will not be reviewed:

    • Applications that fail to address all five categories of research activities (i.e., data management, data standards; ML/AI resources; data ecosystem; and dissemination, training and coordination).
    • Applications that propose to generate experimental data.
    • Applications primarily focused on the development of software tools, computational platforms, methods, models or data standards. Such applications may consider other BRAIN Initiative NOFOs (including RFA-MH-22-145RFA-MH-21-135).
    • Applications that propose to develop data archive(s). Such applications may consider the BRAIN Initiative NOFO RFA-MH-20-600.
    • Applications primarily focused on data analysis or re-analysis.
    • Applications that fail to include milestones and a timeline.
    • Applications that fail to include a PEDP (see details of PEDP in Section IV. Application and Submission Information).

    The NIMH has published updated policies and guidance for investigators regarding human research protection and clinical research data and safety monitoring (NOT-MH-19-027). The application’s Protection of Human Subjects and Clinical Trials Information and data and safety monitoring plans should reflect the policies and guidance in this notice. Plans for the protection of research subjects and data and safety monitoring will be reviewed by the NIMH for consistency with NIMH and NIH policies and federal regulations.

    See Section VIII. Other Information for award authorities and regulations.

    Investigators proposing NIH-defined clinical trials may refer to the Research Methods Resources website for information about developing statistical methods and study designs.

    Eligible Organizations

    Higher Education Institutions

    • Public/State Controlled Institutions of Higher Education
    • Private Institutions of Higher Education

    The following types of Higher Education Institutions are always encouraged to apply for NIH support as Public or Private Institutions of Higher Education:

    • Hispanic-serving Institutions
    • Historically Black Colleges and Universities (HBCUs)
    • Tribally Controlled Colleges and Universities (TCCUs)
    • Alaska Native and Native Hawaiian Serving Institutions
    • Asian American Native American Pacific Islander Serving Institutions (AANAPISIs)

    Nonprofits Other Than Institutions of Higher Education

    • Nonprofits with 501(c)(3) IRS Status (Other than Institutions of Higher Education)
    • Nonprofits without 501(c)(3) IRS Status (Other than Institutions of Higher Education)

    For-Profit Organizations

    • Small Businesses
    • For-Profit Organizations (Other than Small Businesses)

    Local Governments

    • State Governments
    • County Governments
    • City or Township Governments
    • Special District Governments
    • Indian/Native American Tribal Governments (Federally Recognized)
    • Indian/Native American Tribal Governments (Other than Federally Recognized)

    Federal Government

    • Eligible Agencies of the Federal Government including the NIH Intramural Program
    • U.S. Territory or Possession

    Other

    • Independent School Districts
    • Public Housing Authorities/Indian Housing Authorities
    • Native American Tribal Organizations (other than Federally recognized tribal governments)
    • Faith-based or Community-based Organizations
    • Regional Organizations
    • Non-domestic (non-U.S.) Entities (Foreign Institutions)
    Foreign Institutions

    Non-domestic (non-U.S.) Entities (Foreign Institutions) are eligible to apply.

    Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.

    Foreign components, as defined in the NIH Grants Policy Statementare allowed.

    Required Registrations

    Applicant Organizations

    Applicant organizations must complete and maintain the following registrations as described in the SF 424 (R&R) Application Guide to be eligible to apply for or receive an award. All registrations must be completed prior to the application being submitted. Registration can take 6 weeks or more, so applicants should begin the registration process as soon as possible. The NIH Policy on Late Submission of Grant Applications states that failure to complete registrations in advance of a due date is not a valid reason for a late submission.

    • System for Award Management (SAM)– Applicants must complete and maintain an active registration, which requires renewal at least annually. The renewal process may require as much time as the initial registration. SAM registration includes the assignment of a Commercial and Government Entity (CAGE) Code for domestic organizations which have not already been assigned a CAGE Code.
      • NATO Commercial and Government Entity (NCAGE) Code – Foreign organizations must obtain an NCAGE code (in lieu of a CAGE code) in order to register in SAM.
      • Unique Entity Identifier (UEI)- A UEI is issued as part of the SAM.gov registration process. The same UEI must be used for all registrations, as well as on the grant application.
    • eRA Commons – Once the unique organization identifier is established, organizations can register with eRA Commons in tandem with completing their Grants.gov registration; all registrations must be in place by time of submission. eRA Commons requires organizations to identify at least one Signing Official (SO) and at least one Program Director/Principal Investigator (PD/PI) account in order to submit an application.
    • Grants.gov – Applicants must have an active SAM registration in order to complete the Grants.gov registration.

    Program Directors/Principal Investigators (PD(s)/PI(s))

    All PD(s)/PI(s) must have an eRA Commons account.  PD(s)/PI(s) should work with their organizational officials to either create a new account or to affiliate their existing account with the applicant organization in eRA Commons. If the PD/PI is also the organizational Signing Official, they must have two distinct eRA Commons accounts, one for each role. Obtaining an eRA Commons account can take up to 2 weeks.

    Eligible Individuals (Program Director/Principal Investigator)

    Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as the Program Director(s)/Principal Investigator(s) (PD(s)/PI(s)) is invited to work with their organization to develop an application for support. Individuals from diverse backgrounds, including underrepresented racial and ethnic groups, individuals with disabilities, and women are always encouraged to apply for NIH support. See, Reminder: Notice of NIH’s Encouragement of Applications Supporting Individuals from Underrepresented Ethnic and Racial Groups as well as Individuals with Disabilities, NOT-OD-22-019.

    For institutions/organizations proposing multiple PDs/PIs, visit the Multiple Program Director/Principal Investigator Policy and submission details in the Senior/Key Person Profile (Expanded) Component of the SF424 (R&R) Application Guide.

    2. Cost Sharing

    This NOFO does not require cost sharing as defined in the NIH Grants Policy Statement.

    3. Additional Information on Eligibility

    Number of Applications

    Applicant organizations may submit more than one application, provided that each application is scientifically distinct.

    The NIH will not accept duplicate or highly overlapping applications under review at the same time, per 2.3.7.4 Submission of Resubmission Application. This means that the NIH will not accept:

    • A new (A0) application that is submitted before issuance of the summary statement from the review of an overlapping new (A0) or resubmission (A1) application.
    • A resubmission (A1) application that is submitted before issuance of the summary statement from the review of the previous new (A0) application.
    • An application that has substantial overlap with another application pending appeal of initial peer review (see 2.3.9.4 Similar, Essentially Identical, or Identical Applications)

    Section IV. Application and Submission Information

    1. Requesting an Application Package

    The application forms package specific to this opportunity must be accessed through ASSIST, Grants.gov Workspace or an institutional system-to-system solution. Links to apply using ASSIST or Grants.gov Workspace are available in Part 1 of this NOFO. See your administrative office for instructions if you plan to use an institutional system-to-system solution.

    2. Content and Form of Application Submission

    It is critical that applicants follow the instructions in the Research (R) Instructions in the SF424 (R&R) Application Guide except where instructed in this notice of funding opportunity to do otherwise. Conformance to the requirements in the Application Guide is required and strictly enforced. Applications that are out of compliance with these instructions may be delayed or not accepted for review.

    Letter of Intent

    Although a letter of intent is not required, is not binding, and does not enter into the review of a subsequent application, the information that it contains allows IC staff to estimate the potential review workload and plan the review.

    By the date listed in Part 1. Overview Information, prospective applicants are asked to submit a letter of intent that includes the following information:

    • Descriptive title of proposed activity
    • Name(s), address(es), and telephone number(s) of the PD(s)/PI(s)
    • Names of other key personnel
    • Participating institution(s)
    • Number and title of this funding opportunity

    The letter of intent should be sent to:

    Email: nimhpeerreview@mail.nih.gov

    Page Limitations

    All page limitations described in the SF424 Application Guide and the Table of Page Limits must be followed.

    Instructions for Application Submission

    The following section supplements the instructions found in the SF424 (R&R) Application Guide and should be used for preparing an application to this NOFO.

    SF424(R&R) Cover

    All instructions in the SF424 (R&R) Application Guide must be followed.

    SF424(R&R) Project/Performance Site Locations

    All instructions in the SF424 (R&R) Application Guide must be followed.

    SF424(R&R) Other Project Information

    All instructions in the SF424 (R&R) Application Guide must be followed.

    Other Attachments :

    Plan for Enhancing Diverse Perspectives (PEDP)

    In an “Other Attachment” entitled “Plan for Enhancing Diverse Perspectives,” all applicants must include a summary of strategies to advance the scientific and technical merit of the proposed project through expanded inclusivity. The PEDP should provide a holistic and integrated view of how enhancing diverse perspectives is viewed and supported throughout the application and can incorporate elements with relevance to any review criteria (significance, investigator(s), innovation, approach, and environment) as appropriate. Where possible, applicant(s) should align their description with these required elements within the research strategy section. The PEDP will vary depending on the scientific aims, expertise required, the environment and performance site(s), as well as how the project aims are structured. The PEDP may be no more than 1-page in length and should include a timeline and milestones for relevant components that will be considered as part of the review. Examples of items that advance inclusivity in research and may be part of the PEDP can include, but are not limited to:

    • Discussion of engagement with different types of institutions and organizations (e.g., research-intensive, undergraduate-focused, minority-serving, community-based).
    • Description of any planned partnerships that may enhance geographic and regional diversity.
    • Plan to enhance recruiting of women and individuals from groups traditionally under-represented in the biomedical, behavioral, and clinical research workforce.
    • Proposed monitoring activities to identify and measure PEDP progress benchmarks.
    • Plan to utilize the project infrastructure (i.e., research and structure) to support career-enhancing research opportunities for diverse junior, early- and mid-career researchers.
    • Description of any training and/or mentoring opportunities available to encourage participation of students, postdoctoral researchers and co-investigators from diverse backgrounds.
    • Plan to develop transdisciplinary collaboration(s) that require unique expertise and/or solicit diverse perspectives to address research question(s).
    • Publication plan that enumerates planned manuscripts and proposed lead authorship.
    • Outreach and planned engagement activities to enhance recruitment of individuals from diverse groups as research participants including those from under-represented backgrounds.

    Applicants may get additional information regarding the PEDP from the PEDP Frequently Asked Questions and the Key Elements and Examples.

    SF424(R&R) Senior/Key Person Profile

    All instructions in the SF424 (R&R) Application Guide must be followed.

    R&R Budget

    All instructions in the SF424 (R&R) Application Guide must be followed.

    PEDP implementation costs:

    R&R Subaward Budget

    All instructions in the SF424 (R&R) Application Guide must be followed.

    PHS 398 Cover Page Supplement

    All instructions in the SF424 (R&R) Application Guide must be followed.

    PHS 398 Research Plan

    All instructions in the SF424 (R&R) Application Guide must be followed, with the following additional instructions:

    Research Strategy

    The application in response to this NOFO must address all the following five categories of research activities as part of the research strategy: 1) Data Management, 2) Data Standards, 3) ML/AI Resources, 4) Data Ecosystem, and 5) Dissemination, Training and Coordination. The description or discussion of Research Strategy will include (but not be limited to) the following areas:

    • An overall strategy, operational plan, and organizational structure that are  appropriate to accomplish the goals of the DCAIC
    • Gaps, challenges and state-of-the-art of relevant subjects
    • A plan for transferring data from data generation projects to the DCAIC, conducting data management, validation and preparation, and depositing the curated data to data archive(s)
    • A plan to develop and deploy data standards, ontologies, and best practices for BBQS
    • A plan to develop, document and disseminate ML/AI resources
    • A plan to establish a cloud-based computational platform and data ecosystem, along with the interface
    • A plan for developing and carrying out broad dissemination, training, and coordination activities  that support the BBQS consortium mission
    • A plan to implement FAIR data principles
    • How the proposed plans leverage current best practices or existing tools or methods, or integrate existing approaches in novel ways to support the goals of the DCAIC
    • How and why the proposed approaches are optimal in contributing to the goals of the DCAIC
    • Relevant preliminary results

    Applications are expected to present their plans on how to support, communicate, coordinate and collaborate with the other BBQS projects, and on how to collaborate or integrate with BRAIN data archive and other informatics infrastructure projects based on their best knowledge.

    The application should reflect the team’s multidisciplinary background and expertise in different areas of BBQS studies, with at least one neuroscientist with expertise in high-dimensional behavioral data collection and analysis. The application should detail the DCAIC PD(s)/PI(s) experience in the coordination and management of multiple projects, cloud-based data analysis, and data and resources dissemination. The roles and responsibilities each PD/PI and key personnel must be well-defined.

    Applications should include a timeline for carrying out the research activities of the DCAIC that includes clear quantitative milestones. Milestones should cover all five categories of research activities.

    Resource Sharing Plan:

    Individuals are required to comply with the instructions for the Resource Sharing Plans as provided in the SF424 (R& R ) Application Guide.

    Other Plan(s):

    Note: Effective for due dates on or after January 25, 2023, the Data Management and Sharing Plan will be attached in the Other Plan(s) attachment in FORMS-H application forms packages.

    All instructions in the SF424 (R&R) Application Guide must be followed, with the following additional instructions:

    The following modifications also apply:

    • All applicants planning research (funded or conducted in whole or in part by NIH) that results in the generation of scientific data are required to comply with the instructions for the Data Management and Sharing Plan.
    •  The data sharing expectations for BRAIN Initiative awards requires that the data is deposited to relevant data archives developed by the BRAIN Initiative. Applicants can refer to NOT-MH-19-010 for more information about BRAIN Initiative data sharing information
    • Applications should provide a detailed plan for transferring, managing, and depositing data into the BRAIN data archive(s) in the Research Strategy section of the application. The plan should ensure that the data are FAIR (i.e., findable, accessible, interoperable and reusable).
    • Research resources generated by the BBQS projects include research tools, models, protocols, technologies, reagents, user manuals, preprints, among others. The resources should be made rapidly available to the research community. The rapid dissemination of the resources will accelerate scientific exploration, enhance research rigor and reproducibility, and avoid duplicative resource development efforts. The application should provide specific plans for sharing and distributing the resources via open repositories. NIH staff will be responsible for any additional administrative review of the plan for sharing resources and may negotiate modifications of the plan with the prospective awardee prior to award. The final negotiated version of the resource sharing plan will become a term and condition of the award of the cooperative agreement.
    Appendix:

    Only limited Appendix materials are allowed. Follow all instructions for the Appendix as described in the SF424 (R&R) Application Guide.

    • No publications or other material, with the exception of blank questionnaires or blank surveys, may be included in the Appendix.
    PHS Human Subjects and Clinical Trials Information

    When involving human subjects research, clinical research, and/or NIH-defined clinical trials (and when applicable, clinical trials research experience) follow all instructions for the PHS Human Subjects and Clinical Trials Information form in the SF424 (R&R) Application Guide, with the following additional instructions:

    If you answered “Yes” to the question “Are Human Subjects Involved?” on the R&R Other Project Information form, you must include at least one human subjects study record using the Study Record: PHS Human Subjects and Clinical Trials Information form or Delayed Onset Study record.

    Study Record: PHS Human Subjects and Clinical Trials Information

    All instructions in the SF424 (R&R) Application Guide must be followed.

    Delayed Onset Study

    Note: Delayed onset does NOT apply to a study that can be described but will not start immediately (i.e., delayed start).All instructions in the SF424 (R&R) Application Guide must be followed.

    PHS Assignment Request Form

    All instructions in the SF424 (R&R) Application Guide must be followed.

    Foreign Institutions

    Foreign (non-U.S.) institutions must follow policies described in the NIH Grants Policy Statement, and procedures for foreign institutions described throughout the SF424 (R&R) Application Guide.

    3. Unique Entity Identifier and System for Award Management (SAM)

    See Part 1. Section III.1 for information regarding the requirement for obtaining a unique entity identifier and for completing and maintaining active registrations in System for Award Management (SAM), NATO Commercial and Government Entity (NCAGE) Code (if applicable), eRA Commons, and Grants.gov

    4. Submission Dates and Times

    Part I. Overview Information contains information about Key Dates and times. Applicants are encouraged to submit applications before the due date to ensure they have time to make any application corrections that might be necessary for successful submission. When a submission date falls on a weekend or Federal holiday, the application deadline is automatically extended to the next business day.

    Organizations must submit applications to Grants.gov (the online portal to find and apply for grants across all Federal agencies). Applicants must then complete the submission process by tracking the status of the application in the eRA Commons, NIH’s electronic system for grants administration. NIH and Grants.gov systems check the application against many of the application instructions upon submission. Errors must be corrected and a changed/corrected application must be submitted to Grants.gov on or before the application due date and time.  If a Changed/Corrected application is submitted after the deadline, the application will be considered late. Applications that miss the due date and time are subjected to the NIH Policy on Late Application Submission.

    Applicants are responsible for viewing their application before the due date in the eRA Commons to ensure accurate and successful submission.

    Information on the submission process and a definition of on-time submission are provided in the SF424 (R&R) Application Guide.

    5. Intergovernmental Review (E.O. 12372)

    This initiative is not subject to intergovernmental review.

    6. Funding Restrictions

    All NIH awards are subject to the terms and conditions, cost principles, and other considerations described in the NIH Grants Policy Statement.

    Pre-award costs are allowable only as described in the NIH Grants Policy Statement.

    7. Other Submission Requirements and Information

    Applications must be submitted electronically following the instructions described in the SF424 (R&R) Application Guide.  Paper applications will not be accepted.

    Applicants must complete all required registrations before the application due date. Section III. Eligibility Information contains information about registration.

    For assistance with your electronic application or for more information on the electronic submission process, visit How to Apply – Application Guide. If you encounter a system issue beyond your control that threatens your ability to complete the submission process on-time, you must follow the Dealing with System Issues guidance. For assistance with application submission, contact the Application Submission Contacts in Section VII.

    Important reminders:

    All PD(s)/PI(s) must include their eRA Commons ID in the Credential field of the Senior/Key Person Profile formFailure to register in the Commons and to include a valid PD/PI Commons ID in the credential field will prevent the successful submission of an electronic application to NIH. See Section III of this NOFO for information on registration requirements.

    The applicant organization must ensure that the unique entity identifier provided on the application is the same identifier used in the organization’s profile in the eRA Commons and for the System for Award Management. Additional information may be found in the SF424 (R&R) Application Guide.

    See more tips for avoiding common errors.

    Upon receipt, applications will be evaluated for completeness and compliance with application instructions by the Center for Scientific Review and responsiveness by components of participating organizations, NIH. Applications that are incomplete, non-compliant and/or nonresponsive will not be reviewed.

    Applications must include annual milestones covering all the five categories of research activities. Applications that fail to include annual milestones and a timeline will be considered incomplete and will be withdrawn before review. Applications must include a PEDP submitted as Other Project Information as an attachment. Applications that fail to include a PEDP will be considered incomplete and will be withdrawn before review.

    Applications Involving the NIH Intramural Research Program

    The requests by NIH intramural scientists will be limited to the incremental costs required for participation. As such, these requests will not include any salary and related fringe benefits for career, career conditional or other Federal employees (civilian or uniformed service) with permanent appointments under existing position ceilings or any costs related to administrative or facilities support (equivalent to Facilities and Administrative or F&A costs). These costs may include salary for staff to be specifically hired under a temporary appointment for the project, consultant costs, equipment, supplies, travel, and other items typically listed under Other Expenses. Applicants should indicate the number of person-months devoted to the project, even if no funds are requested for salary and fringe benefits.

    If selected, appropriate funding will be provided by the NIH Intramural Program. NIH intramural scientists will participate in this program as PDs/PIs in accord with the Terms and Conditions provided in this NOFO. Intellectual property will be managed in accord with established policy of the NIH in compliance with Executive Order 10096, as amended, 45 CFR Part 7; patent rights for inventions developed in NIH facilities are NIH property unless NIH waives its rights.

    Should an extramural application include the collaboration with an intramural scientist, no funds for the support of the intramural scientist may be requested in the application. The intramural scientist may submit a separate request for intramural funding as described above.

    Use of Common Data Elements in NIH-funded Research

    Many NIH ICs encourages the use of common data elements (CDEs) in basic, clinical, and applied research, patient registries, and other human subject research to facilitate broader and more effective use of data and advance research across studies. CDEs are data elements that have been identified and defined for use in multiple data sets across different studies. Use of CDEs can facilitate data sharing and standardization to improve data quality and enable data integration from multiple studies and sources, including electronic health records. NIH ICs have identified CDEs for many clinical domains (e.g., neurological disease), types of studies (e.g. genome-wide association studies (GWAS)), types of outcomes (e.g., patient-reported outcomes), and patient registries (e.g., the Global Rare Diseases Patient Registry and Data Repository). NIH has established a “Common Data Element (CDE) Resource Portal” (http://cde.nih.gov/) to assist investigators in identifying NIH-supported CDEs when developing protocols, case report forms, and other instruments for data collection. The Portal provides guidance about and access to NIH-supported CDE initiatives and other tools and resources for the appropriate use of CDEs and data standards in NIH-funded research. Investigators are encouraged to consult the Portal and describe in their applications any use they will make of NIH-supported CDEs in their projects.

    NIMH expects investigators for this funding announcement to collect Common Data Elements (CDEs) for mental health human subjects research. Unless NIMH stipulates otherwise during the negotiation of the terms and conditions of a grant award, this Notice applies to all grant applications involving human research participants. The necessary funds for collecting and submitting these CDE data from all research participants to the NIMH Data Archive (NDA) should be included in the requested budget. A cost estimator (https://nda.nih.gov/ndarpublicweb/Documents/NDA_Data_Submission_Costs.xlsx) is available to facilitate the calculation of these costs. NIMH may seek further information regarding CDEs prior to award. Additional information about CDEs can be found at the NIMH webpage on Data Sharing for Applicants and Awardees

    Post Submission Materials

    Applicants are required to follow the instructions for post-submission materials, as described in the policy

    Any instructions provided here are in addition to the instructions in the policy.

    Section V. Application Review Information

    1. Criteria

    Only the review criteria described below will be considered in the review process.  Applications submitted to the NIH in support of the NIH mission are evaluated for scientific and technical merit through the NIH peer review system.

    For this particular announcement, note the following:

    A proposed Clinical Trial application may include study design, methods, and intervention that are not by themselves innovative but address important questions or unmet needs. Additionally, the results of the clinical trial may indicate that further clinical development of the intervention is unwarranted or lead to new avenues of scientific investigation.

    Overall Impact

    Reviewers will provide an overall impact score to reflect their assessment of the likelihood for the project to exert a sustained, powerful influence on the research field(s) involved, in consideration of the following review criteria and additional review criteria (as applicable for the project proposed).

    Scored Review Criteria

    Reviewers will consider each of the review criteria below in the determination of scientific merit and give a separate score for each. An application does not need to be strong in all categories to be judged likely to have major scientific impact. For example, a project that by its nature is not innovative may be essential to advance a field.

    Significance

    Does the proposed Center address the needs of the research consortium that it will serve? Is the scope of activities proposed for the Center appropriate to meet those needs? Will successful completion of the aims bring unique advantages or capabilities to the research consortium?

    In addition, for applications involving clinical trials

    Are the scientific rationale and need for a clinical trial to test the proposed hypothesis or intervention well supported by preliminary data, clinical and/or preclinical studies, or information in the literature or knowledge of biological mechanisms? For trials focusing on clinical or public health endpoints, is this clinical trial necessary for testing the safety, efficacy or effectiveness of an intervention that could lead to a change in clinical practice, community behaviors or health care policy? For trials focusing on mechanistic, behavioral, physiological, biochemical, or other biomedical endpoints, is this trial needed to advance scientific understanding?

    Specific to this NOFO:

    • How well do the proposed aims and research plans align with the DCAIC goals in the areas of data management, data standards, ML/AI resources, data ecosystem, and dissemination, training and coordination?
    • To what extent  will the proposed DCAIC advance the management, analysis, sharing and dissemination of data from research employing high-resolution, multi-disciplinary approaches to capturing and analyzing multiple dimensions of behavior (including gross and fine movements, location, vocalization, peripheral physiologic changes)?
    • How adequately does the project address important challenges in implementing FAIR data principles?
    • To what extent do the efforts described in the Plan for Enhancing Diverse Perspectives further the significance of the project?

    Investigator(s)

    Are the PD(s)/PI(s) and other personnel well suited to their roles in the Center? Do they have appropriate experience and training, and have they demonstrated experience and an ongoing record of accomplishments in managing collaborative research? Do the investigators demonstrate significant experience with coordinating collaborative research? If the Center is multi-PD/PI, do the investigators have complementary and integrated expertise and skills; are their leadership approach, governance, plans for conflict resolution, and organizational structure appropriate for the Center? Does the applicant have experience overseeing selection and management of subawards, if needed?

    In addition, for applications involving clinical trials

    With regard to the proposed leadership for the project, do the PD/PI(s) and key personnel have the expertise, experience, and ability to organize, manage and implement the proposed clinical trial and meet milestones and timelines? Do they have appropriate expertise in study coordination, data management and statistics? For a multicenter trial, is the organizational structure appropriate and does the application identify a core of potential center investigators and staffing for a coordinating center?

    Specific to this NOFO:

    • How well  the proposed DCAIC team demonstrate multidisciplinary expertise and a track record of hands-on involvement in management, coordination, cloud-based data analysis, and data and resources dissemination?
    • To what extent does the application reflect the team’s background in different areas of BBQS studies?
    • To what extent does  the team include at least one scientist with expertise in high-dimensional behavioral data collection and analysis?
    • To what extent does  the team include a neuroscientist with expertise relevant to the proposed data archive(s)?
    • How well are  the roles and responsibilities each PD/PI and key personnel well-defined?
    • To what extent are  the PD(s)/PI(s) and other key personnel devoting sufficient time/effort to achieve the goals of the proposed project?
    • To what extent will the efforts described in the Plan for Enhancing Diverse Perspectives strengthen and enhance the expertise required for the project?

    Innovation

    Does the application propose novel organizational concepts in coordinating the research program the Center will serve? Are the concepts, strategies, or instrumentation novel to one type of research program or applicable in a broad sense? Is a refinement, improvement, or new application of organizational concepts proposed?

    In addition, for applications involving clinical trials

    Does the design/research plan include innovative elements, as appropriate, that enhance its sensitivity, potential for information or potential to advance scientific knowledge or clinical practice?

    Specific to this NOFO:

    • How adequately does  the application describe plans to employ unique or novel methodologies to meet the goals of the DCAIC?
    • How well does the DCAIC plan leverage current best practices, use existing tools or methods, or integrate existing approaches in novel ways to support the goals of the DCAIC?
    • To what extent does  the application include a plan to deploy cloud-based computational platform appropriate for analysis or visualization of BBQS data types?
    • To what extent will the efforts described in the Plan for Enhancing Diverse Perspectives meaningfully contribute to innovation?

    Approach

    Are the overall strategy, operational plan, and organizational structure well-reasoned and appropriate to accomplish the goals of the research consortium the Center will serve? Will the investigators promote strategies to ensure a robust and unbiased scientific approach across the consortium, as appropriate for the work proposed? Are potential problems, alternative strategies, and benchmarks for success presented? If the consortium is in the early stages of operation, does the proposed strategy adequately establish feasibility and manage the risks associated with the activities of the consortium? Is an appropriate plan for work-flow and a well-established timeline proposed? Have the investigators presented adequate plans to ensure consideration of relevant biological variables, such as sex, for studies of vertebrate animals or human subjects?

    If the project involves human subjects and/or NIH-defined clinical research, are the plans to address 1) the protection of human subjects from research risks, and 2) inclusion (or exclusion) of individuals on the basis of sex/gender, race, and ethnicity, as well as the inclusion or exclusion of individuals of all ages (including children and older adults), justified in terms of the scientific goals and research strategy proposed?

    In addition, for applications involving clinical trials

    Does the application adequately address the following, if applicable?

    Study Design

    Are the overall strategy, operational plan, and organizational structure well-reasoned and appropriate to accomplish the goals of the research consortium the Center will serve? Will the investigators promote strategies to ensure a robust and unbiased scientific approach across the consortium, as appropriate for the work proposed? Are potential problems, alternative strategies, and benchmarks for success presented? If the consortium is in the early stages of operation, does the proposed strategy adequately establish feasibility and manage the risks associated with the activities of the consortium? Are an appropriate plan for work-flow and a well-established timeline proposed? Have the investigators presented adequate plans to ensure consideration of relevant biological variables, such as sex, for studies of vertebrate animals or human subjects?

    Are potential ethical issues adequately addressed? Is the process for obtaining informed consent or assent appropriate? Is the eligible population available? Are the plans for recruitment outreach, enrollment, retention, handling dropouts, missed visits, and losses to follow-up appropriate to ensure robust data collection? Are the planned recruitment timelines feasible and is the plan to monitor accrual adequate? Has the need for randomization (or not), masking (if appropriate), controls, and inclusion/exclusion criteria been addressed? Are differences addressed, if applicable, in the intervention effect due to sex/gender and race/ethnicity?

    Are the plans to standardize, assure quality of, and monitor adherence to, the trial protocol and data collection or distribution guidelines appropriate? Is there a plan to obtain required study agent(s)? Does the application propose to use existing available resources, as applicable?

    Data Management and Statistical Analysis

    Are planned analyses and statistical approach appropriate for the proposed study design and methods used to assign participants and deliver interventions? Are the procedures for data management and quality control of data adequate at clinical site(s) or at center laboratories, as applicable? Have the methods for standardization of procedures for data management to assess the effect of the intervention and quality control been addressed? Is there a plan to complete data analysis within the proposed period of the award?

    Specific to this NOFO:

    • How well does  the application include an organizational structure which is likely to ensure that the diverse DCAIC activities are well-coordinated?
    • How well does  the application provide a strategy for processing and managing BBQS data and uploading the raw and/or derived data to the BRAIN data archive(s)?
    • How adequately has the application presented appropriate methods and plans to create ML/AI resources and ??????adequately document the created resources and their preparation procedures?
    • To what extent does  the proposed computational platform include robust and efficient informatics infrastructure and state-of-the-art software tools and pipelines that are required by BBQS studies?
    • To what extent will the proposed data ecosystem, as well as the cloud-based interface, be easily accessible and user-friendly?
    • How strong is the plan for the DCAIC to work with the other BBQS projects and BRAIN informatics infrastructure projects?
    • How strong is the plan for soliciting and assimilating input from the behavioral sciences and neuroscience communities?
    • To what extent will the proposed DCAIC help create a scalable data ecosystem that can be accessed and used to create novel, integrated datasets to be used by behavioral and neural scientists for secondary data analysis?
    • How strong is the plan for developing and carrying out dissemination, training and coordination activities of the DCAIC?
    • Are the timeline and milestones associated with the Plan for Enhancing Diverse Perspectives well-developed and feasible?

    Environment

    Will the institutional environment in which the Center will operate contribute to the probability of success in facilitating the research consortium it serves? Are the institutional support, equipment and other physical resources available to the investigators adequate for the Center proposed? Will the Center benefit from unique features of the institutional environment, infrastructure, or personnel? Are resources available within the scientific environment to support electronic information handling?

    In addition, for applications involving clinical trials

    If proposed, are the administrative, data coordinating, enrollment and laboratory/testing centers, appropriate for the trial proposed?

    Does the application adequately address the capability and ability to conduct the trial at the proposed site(s) or centers? Are the plans to add or drop enrollment centers, as needed, appropriate?

    If international site(s) is/are proposed, does the application adequately address the complexity of executing the clinical trial?

    If multi-sites/centers, is there evidence of the ability of the individual site or center to: (1) enroll the proposed numbers; (2) adhere to the protocol; (3) collect and transmit data in an accurate and timely fashion; and, (4) operate within the proposed organizational structure?

    Specific to this NOFO:

    • To what extent will features of the environment described in the Plan for Enhancing Diverse Perspectives (e.g., collaborative arrangements, geographic diversity, institutional support) contribute to the success of the project?

    Additional Review Criteria

    As applicable for the project proposed, reviewers will evaluate the following additional items while determining scientific and technical merit, and in providing an overall impact score, but will not give separate scores for these items.

    Study Timeline

    Specific to applications involving clinical trials

    Is the study timeline described in detail, taking into account start-up activities, the anticipated rate of enrollment, and planned follow-up assessment? Is the projected timeline feasible and well justified? Does the project incorporate efficiencies and utilize existing resources (e.g., CTSAs, practice-based research networks, electronic medical records, administrative database, or patient registries) to increase the efficiency of participant enrollment and data collection, as appropriate?

    Are potential challenges and corresponding solutions discussed (e.g., strategies that can be implemented in the event of enrollment shortfalls)?

    Protections for Human Subjects

    For research that involves human subjects but does not involve one of the categories of research that are exempt under 45 CFR Part 46, the committee will evaluate the justification for involvement of human subjects and the proposed protections from research risk relating to their participation according to the following five review criteria: 1) risk to subjects, 2) adequacy of protection against risks, 3) potential benefits to the subjects and others, 4) importance of the knowledge to be gained, and 5) data and safety monitoring for clinical trials.

    For research that involves human subjects and meets the criteria for one or more of the categories of research that are exempt under 45 CFR Part 46, the committee will evaluate: 1) the justification for the exemption, 2) human subjects involvement and characteristics, and 3) sources of materials. For additional information on review of the Human Subjects section, please refer to the Guidelines for the Review of Human Subjects.

    Inclusion of Women, Minorities, and Individuals Across the Lifespan

    When the proposed project involves human subjects and/or NIH-defined clinical research, the committee will evaluate the proposed plans for the inclusion (or exclusion) of individuals on the basis of sex/gender, race, and ethnicity, as well as the inclusion (or exclusion) of individuals of all ages (including children and older adults) to determine if it is justified in terms of the scientific goals and research strategy proposed. For additional information on review of the Inclusion section, please refer to the Guidelines for the Review of Inclusion in Clinical Research.

    Vertebrate Animals

    The committee will evaluate the involvement of live vertebrate animals as part of the scientific assessment according to the following criteria: (1) description of proposed procedures involving animals, including species, strains, ages, sex, and total number to be used; (2) justifications for the use of animals versus alternative models and for the appropriateness of the species proposed; (3) interventions to minimize discomfort, distress, pain and injury; and (4) justification for euthanasia method if NOT consistent with the AVMA Guidelines for the Euthanasia of Animals. Reviewers will assess the use of chimpanzees as they would any other application proposing the use of vertebrate animals. For additional information on review of the Vertebrate Animals section, please refer to the Worksheet for Review of the Vertebrate Animals Section.

    Biohazards

    Reviewers will assess whether materials or procedures proposed are potentially hazardous to research personnel and/or the environment, and if needed, determine whether adequate protection is proposed.

    Resubmissions

    Not Applicable

    Renewals

    Not Applicable

    Revisions

    Not Applicable

    Additional Review Considerations

    As applicable for the project proposed, reviewers will consider each of the following items, but will not give scores for these items, and should not consider them in providing an overall impact score.

    Applications from Foreign Organizations

    Reviewers will assess whether the project presents special opportunities for furthering research programs through the use of unusual talent, resources, populations, or environmental conditions that exist in other countries and either are not readily available in the United States or augment existing U.S. resources.

    Select Agent Research

    Reviewers will assess the information provided in this section of the application, including 1) the Select Agent(s) to be used in the proposed research, 2) the registration status of all entities where Select Agent(s) will be used, 3) the procedures that will be used to monitor possession use and transfer of Select Agent(s), and 4) plans for appropriate biosafety, biocontainment, and security of the Select Agent(s).

    Resource Sharing Plans

    Reviewers will comment on whether the Resource Sharing Plan(s) (i.e., Sharing Model Organisms) or the rationale for not sharing the resources, is reasonable.

     

    Authentication of Key Biological and/or Chemical Resources:

    For [programs/projects/networks/consortia/resources] involving key biological and/or chemical resources, reviewers will comment on the brief plans proposed for identifying and ensuring the validity of those resources.

    Budget and Period of Support

    Reviewers will consider whether the budget and the requested period of support are fully justified and reasonable in relation to the proposed research.

    2. Review and Selection Process

    Applications will be evaluated for scientific and technical merit by an appropriate Scientific Review Group convened by NIMH, in accordance with NIH peer review policy and procedures, using the stated review criteria. Assignment to a Scientific Review Group will be shown in the eRA Commons.

    As part of the scientific peer review, all applications will receive a written critique.

    Applications may undergo a selection process in which only those applications deemed to have the highest scientific and technical merit (generally the top half of applications under review) will be discussed and assigned an overall impact score.

    Appeals of initial peer review will not be accepted for applications submitted in response to this NOFO.

    Applications will be assigned on the basis of established PHS referral guidelines to the appropriate NIH Institute or Center. Applications will compete for available funds with all other recommended applications submitted in response to this FOA. Following initial peer review, recommended applications will receive a second level of review by the appropriate national Advisory Council or Board. The following will be considered in making funding decisions:

    • Scientific and technical merit of the proposed project as determined by scientific peer review.
    • Availability of funds.
    • Relevance of the proposed project to program priorities including the PEDP.

    3. Anticipated Announcement and Award Dates

    After the peer review of the application is completed, the PD/PI will be able to access his or her Summary Statement (written critique) via the eRA Commons. Refer to Part 1 for dates for peer review, advisory council review, and earliest start date.

    Information regarding the disposition of applications is available in the NIH Grants Policy Statement.

    Section VI. Award Administration Information

    1. Award Notices

    If the application is under consideration for funding, NIH will request “just-in-time” information from the applicant as described in the NIH Grants Policy Statement.

    A formal notification in the form of a Notice of Award (NoA) will be provided to the applicant organization for successful applications. The NoA signed by the grants management officer is the authorizing document and will be sent via email to the recipient’s business official.

    Recipients must comply with any funding restrictions described in Section IV.5. Funding Restrictions. Selection of an application for award is not an authorization to begin performance. Any costs incurred before receipt of the NoA are at the recipient’s risk. These costs may be reimbursed only to the extent considered allowable pre-award costs.

    Any application awarded in response to this NOFO will be subject to terms and conditions found on the Award Conditions and Information for NIH Grants website.  This includes any recent legislation and policy applicable to awards that is highlighted on this website.

    The NIMH has published policies and guidance for investigators regarding human research protection, data and safety monitoring, Independent Safety Monitors and Data and Safety Monitoring Boards, reportable events, and participant recruitment monitoring (NOT-MH-19-027). The application’s PHS Human Subjects and Clinical Trials Information should reflect the manner in which these policies will be implemented for each study record. These plans will be reviewed by the NIMH for consistency with NIMH and NIH policies and federal regulations. The NIMH will expect clinical trials to be conducted in accordance with these policies including, but not limited to: timely registration to ClinicalTrials.gov, submission of review determinations from the clinical trial’s data and safety monitoring entity (at least annually), timely submission of reportable events as prescribed, and establishment of recruitment milestones and progress reporting.

    Individual awards are based on the application submitted to, and as approved by, the NIH and are subject to the IC-specific terms and conditions identified in the NoA.

    ClinicalTrials.gov: If an award provides for one or more clinical trials. By law (Title VIII, Section 801 of Public Law 110-85), the “responsible party” must register and submit results information for certain “applicable clinical trials” on the ClinicalTrials.gov Protocol Registration and Results System Information Website (https://register.clinicaltrials.gov). NIH expects registration and results reporting of all trials whether required under the law or not. For more information, see https://grants.nih.gov/policy/clinical-trials/reporting/index.htm

    Institutional Review Board or Independent Ethics Committee Approval: Recipient institutions must ensure that all protocols are reviewed by their IRB or IEC. To help ensure the safety of participants enrolled in NIH-funded studies, the recipient must provide NIH copies of documents related to all major changes in the status of ongoing protocols.

    Data and Safety Monitoring Requirements: The NIH policy for data and safety monitoring requires oversight and monitoring of all NIH-conducted or -supported human biomedical and behavioral intervention studies (clinical trials) to ensure the safety of participants and the validity and integrity of the data. Further information concerning these requirements is found at http://grants.nih.gov/grants/policy/hs/data_safety.htm and in the application instructions (SF424 (R&R) and PHS 398).

    Investigational New Drug or Investigational Device Exemption Requirements: Consistent with federal regulations, clinical research projects involving the use of investigational therapeutics, vaccines, or other medical interventions (including licensed products and devices for a purpose other than that for which they were licensed) in humans under a research protocol must be performed under a Food and Drug Administration (FDA) investigational new drug (IND) or investigational device exemption (IDE).

    2. Administrative and National Policy Requirements

    All NIH grant and cooperative agreement awards include the NIH Grants Policy Statement as part of the NoA. For these terms of award, see the NIH Grants Policy Statement Part II: Terms and Conditions of NIH Grant Awards, Subpart A: General and Part II: Terms and Conditions of NIH Grant Awards, Subpart B: Terms and Conditions for Specific Types of Grants, Recipients, and Activities, including of note, but not limited to:

    If a recipient is successful and receives a Notice of Award, in accepting the award, the recipient agrees that any activities under the award are subject to all provisions currently in effect or implemented during the period of the award, other Department regulations and policies in effect at the time of the award, and applicable statutory provisions.

    Should the applicant organization successfully compete for an award, recipients of federal financial assistance (FFA) from HHS will be required to complete an HHS Assurance of Compliance form (HHS 690) in which the recipient agrees, as a condition of receiving the grant, to administer programs in compliance with federal civil rights laws that prohibit discrimination on the basis of race, color, national origin, age, sex and disability, and agreeing to comply with federal conscience laws, where applicable. This includes ensuring that entities take meaningful steps to provide meaningful access to persons with limited English proficiency; and ensuring effective communication with persons with disabilities. Where applicable, Title XI and Section 1557 prohibit discrimination on the basis of sexual orientation, and gender identity, The HHS Office for Civil Rights provides guidance on complying with civil rights laws enforced by HHS. See https://www.hhs.gov/civil-rights/for-providers/provider-obligations/index.html and https://www.hhs.gov/civil-rights/for-individuals/nondiscrimination/index.html .

    HHS recognizes that research projects are often limited in scope for many reasons that are nondiscriminatory, such as the principal investigator’s scientific interest, funding limitations, recruitment requirements, and other considerations. Thus, criteria in research protocols that target or exclude certain populations are warranted where nondiscriminatory justifications establish that such criteria are appropriate with respect to the health or safety of the subjects, the scientific study design, or the purpose of the research. For additional guidance regarding how the provisions apply to NIH grant programs, please contact the Scientific/Research Contact that is identified in Section VII under Agency Contacts of this NOFO.

    Please contact the HHS Office for Civil Rights for more information about obligations and prohibitions under federal civil rights laws at https://www.hhs.gov/ocr/about-us/contact-us/index.html or call 1-800-368-1019 or TDD 1-800-537-7697.

    In accordance with the statutory provisions contained in Section 872 of the Duncan Hunter National Defense Authorization Act of Fiscal Year 2009 (Public Law 110-417), NIH awards will be subject to the Federal Awardee Performance and Integrity Information System (FAPIIS) requirements. FAPIIS requires Federal award making officials to review and consider information about an applicant in the designated integrity and performance system (currently FAPIIS) prior to making an award. An applicant, at its option, may review information in the designated integrity and performance systems accessible through FAPIIS and comment on any information about itself that a federal agency previously entered and is currently in FAPIIS. The Federal awarding agency will consider any comments by the applicant, in addition to other information in FAPIIS, in making a judgement about the applicant’s integrity, business ethics, and record of performance under Federal awards when completing the review of risk posed by applicants as described in 45 CFR Part 75.205 and 2 CFR Part 200.206 “Federal awarding agency review of risk posed by applicants.” This provision will apply to all NIH grants and cooperative agreements except fellowships.”

    Cooperative Agreement Terms and Conditions of Award

    The following special terms of award are in addition to, and not in lieu of, otherwise applicable U.S. Office of Management and Budget (OMB) administrative guidelines, U.S. Department of Health and Human Services (DHHS) grant administration regulations at 2 CFR 200, 45 CFR Parts 75, and other HHS, PHS, and NIH grant administration policies.

    The administrative and funding instrument used for this program will be the cooperative agreement, an “assistance” mechanism (rather than an “acquisition” mechanism), in which substantial NIH programmatic involvement with the recipients is anticipated during the performance of the activities. Under the cooperative agreement, the NIH purpose is to support and stimulate the recipients’ activities by involvement in and otherwise working jointly with the award recipients in a partnership role; it is not to assume direction, prime responsibility, or a dominant role in the activities. Consistent with this concept, the dominant role and prime responsibility resides with the recipient for the project as a whole, although specific tasks and activities may be shared among the recipients and the NIH as defined below.

    The PD(s)/PI(s) will have the primary responsibilities as described below:

    • Oversee and perform the scientific activities within the guidelines of this NOFO.
    • Provide scientific and administrative leadership of the DCAIC.
    • Serve as a member of the DCAIC Steering Committee, and attend the meetings.
    • Implement common guidelines and procedures approved by the Steering Committee and NIH.
    • Adhere to NIH policies regarding intellectual property and other policies that might be established during the course of the study.
    • Not disclose confidential information obtained from other members of the consortium.
    • Share data and resources according to the established data and resource sharing policies.
    • Participate in BBQS consortium activities, including periodic meetings.
    • Accept close coordination, cooperation and participation of NIH program staff in the scientific, technical and administrative management of the DCAIC. Inform the NIH program official of all major interactions with the rest of the community.
    • Provide milestones and cost for the grant to the NIH program staff as requested (usually at the outset of the award and annually thereafter, but also at other times as requested by the program staff).
    • Provide periodic progress reports summarizing DCAIC research activities and milestone progress to NIH staff as requested.
    • Provide updates at least annually on implementation of the PEDP.
    • Recipients(s) will retain custody of and have primary rights to the data and software developed under these awards, subject to Government policies regarding rights of access consistent with current DHHS, PHS, and NIH policies.

    NIH staff have substantial programmatic involvement that is above and beyond the normal stewardship role in awards, as described below:

    Program Officer: A Program Officer will be assigned to this award. Program Officer will be responsible for routine scientific and programmatic stewardship and guidance for the entire project. Program Officer will also negotiate milestones with the PD(s)/PI(s) and ensure that the milestones are achieved and goals are being met. Program officer will moreover be responsible for monitoring the agreed data and resource sharing plans and timelines. Program officer will in addition participate in Steering Committee meetings, working group meetings and other relevant meetings of the DCAIC.

    Project Scientist: A Project Scientist will also be assigned to this award. Project Scientist will interact scientifically with the PD(s)/PI(s) and other personnel of the DCAIC as a partner in the research, and provide technical assistance, advice, and coordination for the project. Project Scientist will be a member of the Steering Committee and participate in the meeting of the Committee as well as other meetings of the DCAIC.

    Project Team: A group of NIH program staff from different ICs that make up the NIH BRAIN Initiative will form a Project Team for the BBQS consortium. The Project Team will include the Program Officers and Project Scientists of the DCAIC and other BBQS awards. The Project Team will review annual progress reports and other documents from the recipient of the DCAIC, and will advise the Program Officer about their view of the progress being made by the recipient of DCAIC along with those by recipients of other BBQS projects.

    Areas of Joint Responsibility include:

    A Steering Committee will be established for this award. The Committee will be composed of the PD(s)/PI(s) of this award and other awards of the BBQS consortium, the PD(s)/PI(s) of the BRAIN data archive(s) relevant to the BBQS consortium, along with the NIH Program Officers and Project Scientists of all these awards. If necessary, the PD(s)/PI(s) and Program Officer of the DCAIC will invite external experts to be part of the Committee, after the award. The Committee will be chaired by the PD/PI of the DCAIC or other BBQS projects as designated by the Committee.

    The Steering Committee will help in planning and designing activities of the DCAIC, establishing research priorities, optimal research designs, project milestones and policies, reviewing and discussing the progress, and suggesting improvements. The Committee will also help in establishing working groups as needed to address particular issues and interests in BBQS studies. The Committee will moreover help in coordinating the activities of the DCAIC and other BBQS projects, and distributing research resources to a wider scientific community. The Committee will nevertheless help in communicating with recipients of the BRAIN Initiative more broadly in order to achieve the goals outlined in the BRAIN 2025 and BRAIN 2.0 reports.

    The Steering Committee will meet periodically. The Committee Chair will be responsible for developing meeting frequency and agenda, and chairing the meetings. Expectedly most of the decisions by the Committee will be reached by consensus. If a vote is needed, each Committee member will have one vote, except for the NIH Program Officers and Project Scientists, who collectively will have one vote.

    Dispute Resolution:

    Any disagreements that may arise in scientific or programmatic matters (within the scope of the award) between award recipients and the NIH may be brought to Dispute Resolution. A Dispute Resolution Panel composed of three members will be convened. These three members include: a designee of the Steering Group chosen without NIH staff voting, one NIH designee, and a third designee with expertise in the relevant area who is chosen by the other two; in the case of individual disagreement, the first member may be chosen by the individual recipient. This special dispute resolution procedure does not alter the recipient’s right to appeal an adverse action that is otherwise appealable in accordance with PHS regulation 42 CFR Part 50, Subpart D and DHHS regulation 45 CFR Part 1.

    3. Data Management and Sharing

    Note: The NIH Policy for Data Management and Sharing is effective for due dates on or after January 25, 2023.

    Consistent with the NIH Policy for Data Management and Sharing, when data management and sharing is applicable to the award, recipients will be required to adhere to the Data Management and Sharing requirements as outlined in the NIH Grants Policy Statement. Upon the approval of a Data Management and Sharing Plan, it is required for recipients to implement the plan as described.

    4. Reporting

    When multiple years are involved, recipients will be required to submit the Research Performance Progress Report (RPPR) annually and financial statements as required in the NIH Grants Policy Statement.

    A final RPPR, invention statement, and the expenditure data portion of the Federal Financial Report are required for closeout of an award, as described in the NIH Grants Policy Statement. NIH NOFOs outline intended research goals and objectives. Post award, NIH will review and measure performance based on the details and outcomes that are shared within the RPPR, as described at 45 CFR Part 75.301 and 2 CFR Part 200.301.

    The Federal Funding Accountability and Transparency Act of 2006 (Transparency Act), includes a requirement for recipients of Federal grants to report information about first-tier subawards and executive compensation under Federal assistance awards issued in FY2011 or later.  All recipients of applicable NIH grants and cooperative agreements are required to report to the Federal Subaward Reporting System (FSRS) available at www.fsrs.gov on all subawards over $25,000.  See the NIH Grants Policy Statement for additional information on this reporting requirement.

    In accordance with the regulatory requirements provided at 45 CFR 75.113 and Appendix XII to 45 CFR Part 75, recipients that have currently active Federal grants, cooperative agreements, and procurement contracts from all Federal awarding agencies with a cumulative total value greater than $10,000,000 for any period of time during the period of performance of a Federal award, must report and maintain the currency of information reported in the System for Award Management (SAM) about civil, criminal, and administrative proceedings in connection with the award or performance of a Federal award that reached final disposition within the most recent five-year period.  The recipient must also make semiannual disclosures regarding such proceedings. Proceedings information will be made publicly available in the designated integrity and performance system (currently FAPIIS).  This is a statutory requirement under section 872 of Public Law 110-417, as amended (41 U.S.C. 2313).  As required by section 3010 of Public Law 111-212, all information posted in the designated integrity and performance system on or after April 15, 2011, except past performance reviews required for Federal procurement contracts, will be publicly available.  Full reporting requirements and procedures are found in Appendix XII to 45 CFR Part 75 – Award Term and Conditions for Recipient Integrity and Performance Matters.

    Section VII. Agency Contacts

    We encourage inquiries concerning this funding opportunity and welcome the opportunity to answer questions from potential applicants.

    Application Submission Contacts

    eRA Service Desk (Questions regarding ASSIST, eRA Commons, application errors and warnings, documenting system problems that threaten submission by the due date, and post-submission issues)

    Finding Help Online: https://www.era.nih.gov/need-help (preferred method of contact)
    Telephone: 301-402-7469 or 866-504-9552 (Toll Free)

    General Grants Information (Questions regarding application instructions, application processes, and NIH grant resources)
    Email: GrantsInfo@nih.gov (preferred method of contact)
    Telephone: 301-637-3015

    Grants.gov Customer Support (Questions regarding Grants.gov registration and Workspace)
    Contact Center Telephone: 800-518-4726
    Email: support@grants.gov

    Scientific/Research Contact(s)

    Ming Zhan, Ph.D.
    National Institute of Mental Health (NIMH)
    Telephone: 301-827-3678
    Email: ming.zhan@nih.gov

    Peer Review Contact(s)

    Nicholas Gaiano, Ph.D.
    National Institute of Mental Health (NIMH)
    Telephone: 301-827-3420
    Email: nick.gaiano@nih.gov

    Financial/Grants Management Contact(s)

    Heather Weiss
    National Institute of Mental Health (NIMH)
    Telephone: 301-443-4415
    Email: weissh@mail.nih.gov

    Section VIII. Other Information

    Recently issued trans-NIH policy notices may affect your application submission. A full list of policy notices published by NIH is provided in the NIH Guide for Grants and Contracts. All awards are subject to the terms and conditions, cost principles, and other considerations described in the NIH Grants Policy Statement.

    Authority and Regulations

    Awards are made under the authorization of Sections 301 and 405 of the Public Health Service Act as amended (42 USC 241 and 284) and under Federal Regulations 42 CFR Part 52 and 45 CFR Part 75 and 2 CFR Part 200.

     

Grant in Artificial Intelligence G

Notice of Special Interest (NOSI): Explainable Artificial Intelligence for Decoding and Modulating Neural Circuit Activity Linked to Behavior
Notice Number:
NOT-MH-23-110

Key Dates

Release Date:

November 8, 2022

First Available Due Date:
February 05, 2023
Expiration Date:
February 06, 2026

Related Announcements

PA-20-183 – NIH Research Project Grant (Parent R01 Clinical Trial Required)

PA-20-184 – NIH Research Project Grant (Parent R01 Basic Experimental Studies with Humans Required)

PA-20-185 – NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed)

PA-20-194 – NIH Exploratory/Developmental Research Grant Program (Parent R21 Clinical Trial Required)

PA-20-196 – NIH Exploratory/Developmental Research Grant Program (Parent R21 Basic Experimental Studies with Humans Required)

PA-20-195 – NIH Exploratory/Developmental Research Grant Program (Parent R21 Clinical Trial Not Allowed)

Issued by

National Institute of Mental Health (NIMH)

All applications to this funding opportunity announcement should fall within the mission of the Institutes/Centers. The following NIH Offices may co-fund applications assigned to those Institutes/Centers.

Office of Research on Women’s Health (ORWH)

Purpose

Background and Rationale

The eXplainable Artificial Intelligence (XAI) framework aims to provide strong predictive value along with a mechanistic understanding of AI solutions by combining machine learning techniques with effective explanatory techniques. This Notice of Special Interest (NOSI) solicits applications in the area of XAI applied to neuroscientific questions of encoding, decoding, and modulation of neural circuits linked to behavior. This NOSI encourages collaborations between computationally and experimentally focused investigators. This NOSI seeks the development of machine learning algorithms that are able to mechanistically explain how experimental manipulations affect cognitive, affective, or social processing in humans or animals. Proof-of-concept applications aimed at improving the current state of the technology that uses XAI to provide unbiased, hierarchical explanations of causal relationships between complex neural and behavioral data are also appropriate.

Despite the rapid growth and adoption of machine learning and artificial intelligence (AI) techniques to scientific questions, the lack of insight into the inner workings of these approaches has impeded full scientific understanding that leads to machine-identified neuro-behavioral mechanisms. However, machine learning techniques have often been applied to categorize and predict neural and behavioral outcomes without providing a mechanistic understanding of what drives those predictions and classifications. Understanding the mechnistic factors critical to a machine-learning-based outcomes may lead to the identification of novel neurobehavioral solutions, theories, and potential targets for further studies or for intervention development.XAI consists of artificial intelligence algorithms in which the processes of arriving at final actions (e.g., predictions, classifications, and recommendations) can be easily understood by its users. XAI aims to overcome limitations of classical machine learning, including a lack of transparency and non-generalizability, by keeping the human-in-the-loop. While optimizing for accuracy or performance, a standard AI may learn useful rules from the specific training set. However, it may also learn inappropriate or non-generalizable rules. XAI provides methods to examine existing machine learning models more closely and new approaches that are explicitly designed to provide greater transparency. In a transparent XAI framework, users will have the ability to audit specific machine-identified rules/hypotheses and to discover how how much of the outcome variance those rules explain and how likely it is that the system will generalize outside a specific training set.

XAI is about enhancing machine-human collaborative intelligence in a new model in which researchers and end-users co-work with AI systems rather than using them as tools. As in most successful collaborations, each brings to the table abilities that the other lacks. NIMH promotes a deep mechanistic understanding of normative and abnormal neurobehavioral brain functions linked to mental health and the pathophysiology of psychiatric disorders. NIMH is interested in transforming classical ‘black box’ machine learning models into XAI ‘glass box’ models, without significantly sacrificing performance. The goal of this NOSI is to encourage investigators to apply XAI techniques to further our understanding of the neural circuitry linked to behavior and to improve our understanding of therapeutic strategies to enhance cognitive, affective, or social function. To develop new treatments for mental illness, a better understanding of how to modulate neural dynamics responsible for complex functional domains and/or maladaptive behaviors is critical. In order to achieve this understanding using XAI techniques, collaborations between computational and experimental investigators are strongly encouraged. In the context of mental health, the amount and type of explanatory information accessed may vary based on the stakeholder (clinicians, patients, or researchers) interacting with the AI system. Projects developing XAI for use in animal and/or human research are appropriate to this announcement. Human studies may involve healthy controls, community samples, and/or patient populations.

Examples of XAI research projects of interest to NIMH include, but are not limited to, the following:

  • Employing new or existing in vivo measurements and/or active manipulations of neural circuits datasets from patients, healthy humans, and/or animals. Manipulations may consist of electrical or magnetic brain stimulation, optogenetics, genome editing, pharmacological compounds, or other modalities. Projects where neurostimulation parameters are automatically adjusted to account for changes in neuro-behavioral activity (e.g., closed-loop methods) are encouraged.
  • Applying existing or novel XAI techniques to provide additional explanatory power to traditional machine learning techniques (e.g., counter-factual probes, generalized additive models, generative adversarial network techniques) able to handle fused multimodal (behavioral and neurophysiological) datasets.
  • Developingsigning, applying, and validating XAI models with the sole purpose of explanation in prospective or restospective (secondary data analyses) Mental Health relevant studies/datasets.
  • Rich labeling of a model’s features with semantic information that is understandable by the users (label propagation techniques are encouraged).
  • Estimating the influence of a given feature on model prediction accuracy or deep neural network decisions by using causal statistical methods.
  • Integrating data-driven and theory-driven models (e.g., machine learning models and biophysically informed models).
  • Implementing biologically inspired machine learning techniques that use the anatomy or physiology of the nervous system to constrain or optimize their implementation.
  • Allowing a machine learning algorithm to unbiasedly discover the governing equations underlying a dynamical system by analyzing co-varying multimodal (or parametric) data.
  • Using XAI algorithms to understand biological mechanisms of action and/or complex changes in brain network dynamics mediated by small molecule drugs, promising biologics, behavioral interventions, environmental manipulations, or developmental changes.
  • Expert-in-the-loop machine learning, combining expert knowledge and machine intelligence to create more effective machine learning algorithms. Humans could be involved in both the training and testing stages of building an algorithm.
  • XAI algorithms applied to rigorous clinical studies such as biological and/or behavioral marker-guided adaptive trial designs, to efficiently and quickly mine complex datasets to reveal optimal treatment approaches based on machine-explained predictive markers as well as patient bio-types linked to treatment response.
  • XAI application in the early phases of treatment development to integrate data across species and levels of analyses (i.e., omics, anatomy, physiology, and functional effects) to 1) identify and mechanistically explain potential treatment targets that are amendable to evaluation in animals and/or 2) suggest optimal neurophysiological and behavioral readouts in animals that are predictive of effects in humans

Areas of Low Program Priority

  • Mathematical or computational research on AI not directly related to neural systems
  • Solely behavioral research not involving measurement or manipulation of neural circuits

Office of Research on Women’s Health (ORWH) Specific Interests

The Office of Research on Women’s Health focuses on research that is relevant to the health of women across the life course and advancing science where the consideration of sex and/or gender influences on health are integrated across the biomedical research enterprise, as highlighted in the 2019-2023 Trans-NIH Strategic Plan for Women’s Health Research. Computational Psychiatry uses modeling tools, integrating multiple levels and types of analysis, to enhance understanding and treatment of psychiatric illness and prediction of behavior/symptom change. In the context of this FOA, ORWH is interested in supporting studies where principles of computational modeling are employed to explore sex and/or gender differences and/or health disparities questions relevant to psychopathology. Advancing rigorous and ethical research to understand the fundamental relationship between sex and gender-specific symptoms and underlying neurobiological function leading to clinically useful applications/intervention insights for populations of women that bear a disproportionate burden of risks and poorer outcomes are of particular interest.

  • The design and testing of computational models to imitate sex and gender differences in clinical phenotypes enabling investigation of underlying neurobiological function that correlates with psychiatric symptoms/somatic responses
  • To design and test simulation modeling tools for psychiatric symptoms to enable study of emotional, behavioral and physiological responses differences in psychiatric disorders by unique population level psychosocial risk factors (e.g. social determinants frequently associated with poor health in marginalized communities)

Application and Submission Information

This notice applies to due dates on or after February 5, 2023 and subsequent receipt dates through February 5, 2026.

Submit applications for this initiative using one of the following funding opportunity announcements (FOAs) or any reissues of these announcement through the expiration date of this notice.

  • PA-20-183 – NIH Research Project Grant (Parent R01 Clinical Trial Required)
  • PA-20-184 – NIH Research Project Grant (Parent R01 Basic Experimental Studies with Humans Required)
  • PA-20-185  – NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed)
  • PA-20-194 – NIH Exploratory/Developmental Research Grant Program (Parent R21 Clinical Trial Required)
  • PA-20-196 – NIH Exploratory/Developmental Research Grant Program (Parent R21 Basic Experimental Studies with Humans Required)
  • PA-20-195 – NIH Exploratory/Developmental Research Grant Program (Parent R21 Clinical Trial Not Allowed)

All instructions in the SF424 (R&R) Application Guide and the funding opportunity announcement used for submission must be followed.

Although ORWH is not listed as a Participating Organization in all the FOAs listed above, applications for this initiative will be accepted.

Applications nonresponsive to terms of this NOSI will not be considered for the NOSI initiative.

Inquiries

Please direct all inquiries to the contacts in Section VII of the listed funding opportunity announcements with the following additions/substitutions:

Scientific/Research Contact(s)

Mauricio Rangel-Gomez, Ph.D.
National Institute of Mental Health (NIMH)
Telephone: 301-435-6908
Email: mauricio.rangel-gomez@nih.gov

Siavash Vaziri, Ph.D.
National Institute of Mental Health (NIMH)
Telephone: 301-443-1576
Email: siavash.vaziri@nih.gov

Damiya Eve Whitaker
Office of Research on Women’s Health (ORWH)
Phone: 240-276-6170
E-mail: damiya.whitaker@nih.gov

Peer Review Contact(s)

Examine your eRA Commons account for review assignment and contact information (information appears two weeks after the submission due date).

Financial/Grants Management Contact(s)

Heather Weiss
National Institute of Mental Health (NIMH)
Telephone: 301-443-4415
Email: heather.weiss@nih.gov

 

Grant in Computer Science

Department of Science and Technology

International Cooperation Division

DST – NSF Joint call for proposals

Application Deadline – 14th august 2023

Guidelines for Submitting Collaborative Proposals under the Department of Science and Technology (DST) of Government of India and U.S. National Science Foundation (NSF) Collaborative Research Opportunities

Department of Science & Technology (DST), Government of India and National Science Foundation (NSF) of U.S have signed an Implementation Agreement (IA) on research Cooperation. This DST – NSF collaborative research opportunity focuses specifically upon discoveries and innovations in areas of mutual interest that develop new knowledge in all aspects of computing, communications, and information science and engineering, advanced cyber infrastructure, secure and trustworthy computing, and cyber physical systems. NSF intends to make awards to the U.S. investigators participating in the recommended collaborative proposals, and DST intends to make awards to the Indian investigators participating in the recommended collaborative proposals.

Potential Areas of Research

DST and NSF invite active Indian and US scientists / researchers to submit proposals for Joint Research Project in the following broad areas:

  1. Computer and Information Science and Engineering

  • Algorithmic Foundations; Communications and Information Foundations; Foundations of Emerging Technologies; Software and Hardware Foundations

  • Computer Systems Research; Networking Technology and Systems

  • Human-Centered Computing; Information Integration and Informatics; Robust Intelligence

  • Advanced Cyberinfrastructure

  1. Cyber-Physical Systems

  • Engineered systems with a seamless integration of cyber and physical components, such as computation, control, networking, learning, autonomy, security, privacy and verification, for a range of application domains.

  1. Secure and Trustworthy Cyberspace

  • Cybersecurity and privacy, drawing on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences.

Proposals submitted in other research areas will not be considered.

Eligibility for Indian Applicants

  • The Principal Investigator (PI) and other investigators in India should be scientists/ faculty members working in regular capacity in Universities/ Deemed Universities/ Academic Institutes and National Research & Development Laboratories/ Institutes as well as working in private non-profit institutions that carry R&D activities. The Indian Principal Investigator (PI) should not be retiring or leaving the parent institute during the proposed duration of the project.

  • Number of proposal submission for Indian investigators as PI is limited to one per call while they can involve as Co-PIs in maximum of two proposals.

  • The Indian scientists who are in any way involved in the implementation of two or more projects that were previously supported by the DST (International Group) and that are not expected to be completed by 31 December 2023 are also not eligible to be a member of the research team.

Guidelines

      1. DST and NSF will allow investigators from both countries to collaborate to write a single proposal that will undergo a single review process at NSF, the Coordinating Agency.

      2. Proposals must represent an integrated collaborative effort between the India and US investigators. Proposals are expected to adhere to the research areas, funding limits, and grant durations for the participating NSF programs and for the DST programs from which funding is sought. Investigators are advised that all documents submitted to DST or NSF may be shared with the other agency in order to implement the two-way agency activities.

      3. The proposal should describe the full proposed research program, including the total Indian and U.S. resources that will be part of the project. NSF investigators should indicate only the NSF expenses in the NSF budget. DST investigators should indicate only the DST research expenses on the DST budget form. The DST budget and budget justification must be included in the NSF proposal as a Supplementary Document. The Budget section of the DST proposal should clearly indicate the DST budget with full justification. Proposals that request duplicative funding may be returned without review.

      4. Indian and US Investigators should submit identical Summary, Description and References in their proposals, using the respective forms prescribed by DST and NSF. Applications submitted by one side only; not on prescribed format and received after due date will not be accepted. Indian/US Investigators should, therefore, ensure that their counterpart submits an application with identical components as described above, on prescribed format as per guidelines of nodal agencies by due date.

      5. Title of the project submitted on both systems should be identical.

      6. All proposals should be supported with brief bio-data of entire project team members indicating their affiliation, date of birth, highlights of academic and research activities / awards. For US investigators, date of birth is not required and their bio-sketches may be as per NSF guidelines.

      7. Through this partnership, India researchers may receive funding from DST and U.S. researchers may receive funding from NSF respectively.

      8. Selected Projects of Indian PIs will be supported up-to 20 million Indian rupees by DST and up-to $600,000 to US PIs by NSF for duration up-to three years.

      9. The support to Indian PIs are primarily for exchange visits, consumables, contingency and minor equipment/accessories (not costing more than 20% of project cost). It may be noted that both sides may not get equal grant (USD to INR). Budget requirement would be assessed as per current norms of human resources or international visit rate. Travel entitlement will be by economy class.

      10. The proposals will be reviewed by experts contacted by NSF, the Coordinating Agency, in competition with other proposals received for the same funding round of the program to which the proposal is submitted, using NSF’s merit review process. DST will check that the Indian investigator has an active and appropriate role and confirm their eligibility at the onset of the process.

      11. The Data Management Plan must include mechanisms for sharing and archiving data including, experimental data, results, and software developed and their associated privacy and security aspects.

      12. For projects involving human subjects/participants or vertebrate animals, investigators should follow both DST and NSF policies, submitting documentation to each as appropriate.

How to apply

The Indian researchers can download the proposal formats from websites www.dst.gov.in / https://onlinedst.gov.in/ and should submit completed application form and all relevant information through e-PMS portal of the DST. Proposals must be submitted to DST through the e-application system provided at https://onlinedst.gov.in/ by 14th August 2023 through proper channel. It should be ensured that application with identical title has been submitted by his / her US counterpart to NSF by due date. Proposal not submitted through either ePMS portal by due date will not be considered.

Instructions for uploading proposal to DST on e-PMS

  • Log on to https://onlinedst.gov.in to access the home page of the “DST e-PMS Portal” and register. After registration, log in and submit the joint project proposal in prescribed Format.

  • Before filling up the form Indian applicants are advised to carefully go through the Relevant Advertisement published at the DST Website (www.dst.gov.in) and also available under Proposal Formats in the e-PMS Portal after logging in the portal site.

  • To save time and avoid data loss, please download the appropriate proposal format and fill all the information required as per the format as a Word and PDF file and then keep it ready for upload during submission of mandatory documents.

  • Click on “Submit proposals” link which would take to a page seeking multiple information starting with – General information, Principal investigator etc.:

  • After filling all above particulars, there is provision to preview your details before final submission of application form on clicking on “Preview” button. Preview page will display all facts/particulars that have mentioned on entry time. If the applicant is sure with filled details, then click on “Submit” button to finally push data into server.

  • Applicants are advised to carefully fill in and verify the details required for the online application themselves, as no change will be possible/ entertained after clicking the FINAL SUBMIT BUTTON.

Documents Required for Indian Investigators (PDF only)

  • Complete Project Proposal (Annexure I)

  • Certificate from Investigator(s) (Annexure II)

  • Endorsement from the Head of Organization (on letter head) (Annexure III)

  • Conflict of Interest (Annexure IV)

  • Biodata of entire project team members (Max: 3 pages per Investigator) including date of superannuation / tenure completion, their affiliation, date of birth, field of specialization, highlights of academic and research activities / awards, significant accomplishment etc., in a single pdf file.

Contact

For DST

For NSF

Dr Praveenkumar Somasundaram

International Cooperation Division

Department of Science & Technology

Technology Bhawan, New Mehrauli Road

New Delhi – 110 016

praveen@nic.in

Dr Mohan Kumar

Program Director, CNS Division CISE Directorate

National Science Foundation (NSF)

mokumar@nsf.gov

and

Dr Bridget Turaga

Program Director, Office of International Science and Engineering

National Science Foundation (NSF)

bturaga@nsf.gov

International Travel Grant

International Travel Support

International Travel Support (ITS) Scheme provides financial assistance to Indian researchers for presenting a research paper in an international scientific event (conference, seminar, workshop etc.) held abroad. In addition, support is also provided to young scientists (age limit below 35 years as on date of start of the event) for attending training programmes, Short-term schools and Workshops. Economy class air-fare by shortest route, airport-tax and visa fees are provided under the scheme. Registration fee as per actual or Rs. 50,000/- whichever is less will be provided to young scientist (Age< 35 on the date of start of event) in addition to the above support. Applications can be submitted within the window of 60-90 days in advance from the date of start of the event. The system will not accept early or late submission of applications. However, applicant who has already submitted a proposal will not be eligible to apply again within next 90 days from the date of submission of the first application.

Scope:

The ITS scheme is to provide financial assistance for presenting a original research paper or chairing a session or delivering a keynote address in an international scientific event held abroad (conference/seminar/symposium etc.). This scheme also provides support to young researchers (Age<35 years on the date of start of event) for attending workshop, short term training programmes and schools being organized outside India.

Eligibility :

  • Applicant should be an active Indian researcher engaged in R&D work in recognized academic institutions or research laboratories in India.
  • The applicant should have an invitation for presenting an original scientific paper. Similar invitation is required in the case of young scientists attending training programmes such as short term courses, summer/winter schools, workshop etc.
  • The applicant should not have availed financial assistance under this Scheme during the last three years.
  • The scientific event should be of an international character. Invitation of personal nature such as for carrying out post-doctoral work, informal training programmes/courses, internship, observer-ship etc. will not be eligible for support.
  • Applicant must have obtained Master’s degree in Science or Bachelor’s degree in professional courses from a recognized University by the time of submission of application.

Nature of Support:

This scheme provides to & fro economic class air fare by the shortest route, airport tax and visa fees for attending the specific event. Registration fee as per actual or Rs. 50,000/- whichever is less will be provided to young scientist (Age< 35 on the date of start of event) in addition to the above support. The support is provided on reimbursement basis as per actual expenditure incurred by the applicant within the guidelines of the scheme. However, Taxi fare will not be reimbursed.

Documents required :

  • An endorsement letter duly signed and stamped by competent authority of the institute.
  • A copy of letter of acceptance of the presenting paper (oral/poster) by the organizers.
  • A copy of the abstract of the paper to be presented. Please be sure to include name of all the authors, authors’ affiliated institutions with full address and title of the abstract.
  • Biodata with complete list of Scientific / Technical publications and Patents, if any.

Application Stage:

  • Endorsement by the Head of the Institution Download Template
  • Certificate by the Applicant including Event Benefits Download Template
  • Bio-data of the Applicant
  • Acceptance Letter from the Organizer
  • Abstract(s) of the paper(s) to be presented
  • Event Details
  • Event Details
  • Date of Birth Certificate
  • Event Benefits
  • Financial Support from Other Sources

Claim Reimbursement Stage:

    • Claim Form (to be generated from the online system while submitting claim details)
    • Bank Account Details Download Template
    • Air/Rail/Bus/Others tickets
    • Cash Receipt of Air Ticket
    • Boarding Passes
    • Visa Charges
    • Registration Receipt
    • Participation Certificate
    • Certificate(s) for amount received from other sources
    • Lowest Available Fare Certificate ( from authorized agent only)
    • Any other(Miscellaneous Upload)

Terms & Conditions of ITS grant:

  • Travel grant should be used only for attending the scientific event for which the SERB accorded its approval.
  • The Institute/Applicant should submit the claim bills, and other necessary documents within 90 days of the last day of the event.
  • The host institute/Applicant shall ensure that the fund released is used exclusively and appropriately for which it has been sanctioned.
  • If the applicant to whom the travel grant has been awarded leaves the institution, the Institute and the applicant should inform SERB immediately, and the grant released, if any, should be refunded back by the Institute to SERB immediately by means of DD drawn in favour of “Fund for Science and Engineering Research”.
  • If the results of research are to be legally protected, the results should not be presented in international fora without action being taken to secure legal protection for the research results.
  • If any candidate found to have furnished incorrect / misleading information at any stage, his/her candidature will be cancelled and no reimbursement will be made. The candidate will also be debarred for next three years for availing support under this scheme.

How to apply online:

For successful online submission of the application the following points may be noted:

  • Applicant(s) should first register into the online website click here to register
  • After log-in, kindly go to Menu –> Proposal Submission –> Form Submission –> Select scheme and start filling the form online.
  • The researchers are required to apply online through the portal between 60-90 days in advance prior to the start date of the event. The system will not accept early or late submission of applications.
  • Application submitted through any other mode will not be considered.
Contact Person:
The contact details of Programme Officers are given below:

Dr. Sukumar Dey, Scientist ‘C’
Science and Engineering Research Board
3rd & 4th Floor, Block II,
Technology Bhavan, New Mehrauli Road,
New Delhi-110016
Telephone: 011-26552151/2114, 011-26511084
Email: ms[dot]its[at]serb[dot]gov[dot]in

 

Grants for Women Scientists

Women Scientist Scheme-B (WOS-B) focuses on projects related to Science & Technology (S&T) interventions for societal benefit. Such project proposal should address a well-identified societal challenge and deliver possible solution(s) by way of development of viable technology/technique and/or lab-to-land technology transfer, its adaptation and scaling up. Women scientists who wish to apply under this scheme are required to develop their own project/proposals for scientific and technological solutions to address issues preferably at enhance quality-of-life the grassroots level. The proposal must clearly bring out the societal benefit to be accrued through well conceived plan for development of technology/technique and/or adaptation/ customization. The candidate should have adequate S&T skills and be adept at techniques to deliver the proposed outcome. Projects which have the potential for sustainable income generation, lead to appreciable reduction in drudgery and enhancement of quality-of-life besides capacity building of women at the grassroots level are encouraged.

Procedure for Applying:

Proposals are to be submitted online on WOS portal http://online-wosa.gov.in Those interested in submitting proposal have to register at this portal and submit the proposal onlinePlease read guidelines available on the portal carefully before submitting the proposal. Detailed guidelines are given below also. Send one hard copy of submitted proposal to Mrs. Namita Gupta, Scientist-‘G’, KIRAN Division, Department of Science and Technology (DST), Technology Bhawan, New Mehrauli Road, New Delhi-110016. Superscribe envelope with ‘Women Scientist Scheme-B (WOS-B)’. For further inquiries regarding WOS-B please send email to: wosb-dst[at]gov[dot]in

Guidelines for Implementation of WOS-B Projects[PDF]274.52 KB

Online Submission of Project Proposals – Click here

For queries send Email to: wosb-dst[at]gov[dot]in

Grant in Artificial Intelligence

Department of Science & Technology (DST), Government of India and Russian
Science Foundation (RSF) have arrangement for funding of Joint Research
Proposals in India and Russia in the areas of Basic Science.Under this Programme,
each project will receive annual funding of up to equivalent of US $ 100,000 in
respective national currencies.
DST and RSF invite active Indian and Russian scientists / researchers to submit
proposals for Joint Research Project in the following areas under DST- RSF cooperation:
1. New Materials;
2. Сlean energy;
3. Smart healthcare and medicine;
4. Safe food;
5. Smart transport and telecommunications;
6. Plant and Animal Bio-Technology;
7. Artificial Intelligence;
8. Earth Quake and Ocean Science.
Proposals submitted in other research areas will not be considered.
Terms of the project grant
• The duration of each project is three years.
• Project on each side to be implemented by a project team consisting of at least 4
members and maximum up to 10 members. It is desirable that the team may consist of
min 50% of young scientists/faculty (below 45 years).
• Indian PIs should be scientists/faculty members working in a regular capacity in
universities, academic institutes and national research and development
laboratories/institutes. The Indian Principal Investigator (PI) should not be retiring or
leaving the parent institute during the proposed duration of the project.
• Project coordinators on both sides must have published at least 10 research articles
in SCI indexed journals in last 5 years.
• It is expected that each supported project would result in to at least 10 research
publications in SCI indexed journals.
• The Indian and Russian team leaders should submit identical application to
respective nodal agency, upon consultations, using the respective forms prescribed
by DST and RSF. Applications submitted by one side only; not on prescribed format
and received after due date will not be accepted. Indian/Russian team leaders
should, therefore, ensure that their counterpart submits an identical
application onprescribed format as per guidelines of nodal agencies by due
date.
The team leader shall be entitled to submit only one application to take part in
thiscompetition. There shall be no restriction on the number of projects that
one organization may implement.
• Indian researchers currently implementing any Indo-Russian joint project which
is likely to be over after 31st December 2023 are not eligible to submit proposal
under this call.
• The Indian scientists who are in any way involved in the implementation of two
or more projects that were previously supported by the DST (International
Group) and that are not expected to be completed by 31 December 2023 are
also not eligible to be a member of the research team.
All proposals should be supported with brief bio-data of entire project team
members indicating their affiliation, date of birth, highlights of academic and
research activities / awards.
Indian researchers should submit their proposals on format available at
www.onlinedst.gov.in. After registration, they should move to scheme and
format section where details about this call would be available in the
International cooperation (bilateral).
Title of the project submitted on both systems should identical.
Opening of call for proposal is 17
th March, 2023
List of selected projects is likely to be posted on website www.dst.gov.in
and www.rscf.ru in 15th December 2023.
Russian and Indian teams should comply to national regulations described
in thecall documentation.
Expected start of projects: 1
st April 2024.
The size of one grant of the RSF shall range from 4 (four) to 7 (seven) million
Rubles annually. The size of one grant from the Department shall range up to 7
(seven) million Indian rupees annually.
Kind of support available for Joint Project:
Each project will receive annual funding of up to Rs. 70,00,000 from DST and up to Rbls
70,00, 000 from RSF. This funding will cover the following expenses in connection with a
project;
• Consumables, Accessories, Fellowships and other research expenses;
Expenditure by project team in their country would be borne by the respective
country, i.e., DST would support expenditure on Indian side of the project
whereas RSF would meet the expenditure of Russian side.
• Support for Exchange visit component: The sending side would provide return
international airfare, accommodation, per diem, etc. Presently for the approved
visit of Indian scientists to Russia, following expenditure are agreed: international
fare (from nearest airport to destination city by economy excursion class), cash
allowance @ US $ 50 per day for visit less than a week and US $ 40 per day for
longer visit; accommodation upto US $ 100 per night (subject to receipt US $ 125
in case of Moscow / St. Petersburg), local transport upto US $ 25 (subject to
receipt) and overseas medical insurance by silver class for visit duration.
• A maximum of 40 % of the Indian side’s budget may be allowed for
consumables.
• No support for the equipments.
• Contingency and Institutional Overhead: As per DST norms.
Assessment of applications
All applications received by the notified round closing date will undergo a peer
review process and then be referred to an independent advisory panel for
consideration and ranking. DST and RSF will conduct parallel review of the
applications respectively based on the agreed criteria. DST and RSF will make joint
decisions based on the review results. DST and RSF may consider inviting Project
coordinators for presentation of the proposed work as part of the review process.
Applications must attain a positive rating to be considered eligible for funding. Joint
selection of successful applications by DST and RSF will be discussed by the
respective nodal agencies and informed by the rankings. Decisions are made by the
DST-RSF Joint Working Group and will be final.
Submitting an application
The Indian researchers can download the proposal formats from websites
www.dst.gov.in / https://onlinedst.gov.in/ and should submit completed application form
and all relevant information through e-PMS portal of the DST. Proposals must be
submitted to DST through the e-application system provided at https://onlinedst.gov.in/
by 15th June 2023 through proper channel. It should be ensured that application with
identical title has been submitted by his / her Russian counterpart to RSF by due date.
Proposal not submitted through either ePMS portal by due date will not be
considered.
For further details and clarifications, if any, kindly contact any of the following in India
For India                                                                                                            For Russia

Dr. Sibashisa Dash,                                                                                          Mr. KONOVALOV Sergei

Scientist ‘C’, International Division,                                                             International Division Russian

Department of Science & Technology                                                          Science Foundation

Ministry of Science & Technology, GOI                                                       GSP-2, 109992,ul. Solyanka, d. 14,

Technology Bhawan, New Mehrauli Road                                                   str. 3MOSCOW (Russia)

New Delhi – 110016, India                                                                              E-mail: konovalov@rscf.ru

Tel: +91-11-26590317                                                                                       URL: www.rscf.ru

E-mail: sdash.dst@gov.in
URL:www.dst.gov.in /
www.onlinedst.gov.in

Grant in Science, Mathematics, Engineering

SERB-TETRA (Technology Translation Award) is a new scheme for catalizing technology translation in academic setting. Translation research has gained considerable focus as it has the potential to elevate results from fundamental research to a given technology readiness level, in turn catalyzing symbiotic growth of institutional infrastructure to offer a platform for scale-up of entrepreneurial ventures, supported by a variety of funding mechanisms. SERB-TETRA will challenge scientists executing SERB grants, such as CRG, to establish an effective, functional and synergistic working collaboration with an industry partner to elevate their breakthrough results and technologies to TRL level 5 and beyond. It is implicit that PIs would have obtained necessary patents and IPR.

TETRA Support will help entities having successful ideas to kickstart new venture processes. With a seed capital, flexible working spaces and interaction between mentor and startup entrepreneurs, the SERB-TETRA will expand the scope by providing numerous networking opportunities, followed by presenting the finished prototype to an audience of large investors, established MSMEs and private companies, and public sector enterprises.

SERB-TETRA would be awarded to select PIs who have clearly demonstrated translational potential of their research (patents, etc.) and have established contact with industrial partners for fast-track graduation to a prototype stage and beyond. PIs would have also identified technology incubators in their own institution or in the vicinity who could support their endeavors. It is envisaged that a well-defined strategy to augment research innovation, via technology incubators, will add value to the CRG and other funding mechanisms supported by SERB.

Objectives

SERB-TETRA aims to provide award to competitively funded Core Research Grants (CRG) and similar projects, holding potential and promise for translation at TRL 5 or beyond.

Eligibility

  • Submissions under TETRA can be made only by PIs of ongoing research grants and all extramural grants completed in last three years, where PI holds or applied for a patent.
  • Applicants [Principal Inventor (PI) and / or Co-Inventor(s)] should be Indian citizens. Foreign nationals (including OCI and NRI) are also eligible to apply provided they fulfil the eligibility criteria notified by SERB (SERB Funding Guidelines for foreign nationals dated 27th Oct 2016).
  • The applicant(s) must hold a regular academic/research position in a recognized academic institution or national laboratory or in any other recognized R&D institution in India with at least 3 years of service remaining.
  • Private Academic institutions with valid UGC / AICTE / PCI approval, Private R&D Institutions with valid DSIR-SIRO recognition and Voluntary and Non- Governmental Organizations registered under NITI-AAYOG Darpan portal are eligible to host a project.
  • The PI and Co-Investigator(s) should hold Ph.D. degree in Science, Mathematics, Engineering or M.D / M.S. / M.D.S. / M.V.Sc degree at the time of applying for grant.

Nature & Duration of Support

  • The funding will be provided normally for a period of two years.
  • The award will entail an unstructured budget up to 15 lakhs per year (without international travel), including overhead.

Selection & Mode of Application

  • An applicant is eligible to apply only one proposal during a call (as a PI or Co-PI).
  • Any proposal technically rejected should not be resubmitted without any substantial revision to any schemes or programs of the SERB.
  • Not more than one project is allowed at any given time as a Principal Inventor under the program TETRA.
  • The Call for applications will be notified through the website “www.serbonline.in” and “www.serb.gov.in”. The application form along with a proper research proposal highlighting the research work to be undertaken should be submitted online through the website “www.serbonline.in”.
  • The proposals will be evaluated through a stringent peer-review processes by a suitable Programme Advisory Committee.
  • The selection will be based on the recommendations of Program Advisory Committee (PAC) constituted by the Board. If required, the applicants maybe called for discussion/ presentation.

Plagiarism

Proposals submitted must be original in ideation and content. Plagiarism in any form will not be acceptable. All submitted proposals might be subjected to a third-party similarity check and proposals are liable to be rejected if found plagiarised. Any text taken verbatim from other source needs to be identified using quotation marks and proper reference. Applicants are requested to pre-check their proposals for plagiarism before uploading

Scientific Social Responsibility

SERB has adopted Scientific Social Responsibility (SSR) Policy to imbibe a culture of social commitment among SERB Grantees. The policy intends to effectively utilize scientific infrastructure and expertise of SERB grantees to benefit other S&T stakeholders especially the less-endowed researchers and the society. SSR activities need to be chosen after approval and depending on the activities chosen additional budget would be provided under separate head to carry out the chosen activities. SERB Grantees need to undertake the proposed SSR activities during their project period.

How to apply online

For successful online submission of the application the following points may be noted:

  • Applicant should first register into the online website.  click here to register.
  • After successful registration, user will be sent a confirmation mail on registered emaiID. User must click on the url provided in the mail to confirm registration.
  • After log-in, applicant(s) are required to fill all the mandatory fields in Profile Detail section under User Profile. which includes Bio-data, Photo, Institute Address etc.
  • Details of Patent, Publications in last 5 years, Projects, Research Collaboration, Academic Supervision of all investigators (PI and all Co-Inventor’s) has to be provided.
  • Some of the details of your proposed work like Title (max 500 characters), Patent summary (max 3000 characters), Keywords (max 6), Translation Methodology (max 1500 characters), Expected output and outcome (max 1500 characters), Innovation (max 1000 characters), Gap area (max 1000 characters) and Advantage of Prototype/ Product to be developed (max 1000 characters) have to be entered at the time of proposal submission.
  • Other relevant information of the proposal has to be uploaded in single PDF file not more than 10 MB as other technical document (OTD). Download Template
  • Documents required (in PDF) should be in prescribed format:
    i. Biodata (under user profile section) Download Template
    ii. Certificate from -> Principal Investigator/Inventor Download Template
    iii. Endorsement Letter from the Head of Institution Download Template
    iv. Documents related to Technology Transfer from completed/ ongoing project
    v. Support Letter if there is any tie-up with any Start-up or Industry
  • Plagiarism undertaking Download Template

Contact Details

Member Secretary

Dr. Pramod Kumar Prasad, Scientist ‘D’
Science and Engineering Research Board
3rd & 4th Floor, Block II,
Technology Bhavan, New Mehrauli Road,
New Delhi-110016
Tel: +91-011-26511077
Email: pk[dot]prasad[at]serb[dot]gov[dot]in

Program Coordinator

Dr. Praveen Kumar S, Scientist ‘F’
Email: praveen[at]nic[dot]in

Continuing Grant in Artificial Intelligence and Machine Learning

Advancing Research in the Geosciences Using Artificial Intelligence (AI) and Machine Learning (ML)

January 20, 2023

Invites proposals to existing NSF programs focused on advancing understanding of geoscience with artificial intelligence or machine learning.

Dear Colleagues:

The National Science Foundation’s (NSF) Directorate for Geosciences (GEO) encourages the submission of proposals that advance our understanding of geosciences using Artificial Intelligence (AI) and Machine Learning (ML) methods.

To tackle grand challenge problems across the geosciences, researchers increasingly are turning to AI/ML methods. AI includes any computational tool that mimics human intelligence, including using logic and decision trees. ML methods use statistical techniques to enable machines to improve at tasks with experience and include neural networks that permit software to train itself to perform tasks after exposure to vast amounts of data. These are powerful tools for analyzing large and complex datasets, developing physical models, expediting computation or scaling between models, or designing and deploying sensor networks. Unique aspects of understanding Earth systems and using geosciences data can also inform and inspire new developments in AI/ML, and AI-enabled research will require a workforce prepared to understand, use, and develop appropriate AI/ML techniques.

To promote research that benefits from AI/ML and reduces barriers to its use in the geosciences, GEO welcomes proposals incorporating AI/ML methods across its broad range of programs. The geosciences collectively refers to the research supported in the Divisions of Atmosphere and Geospace (AGS), Earth (EAR), and Ocean (OCE) Sciences, and in the Office of Polar Programs (OPP). Proposals in response to this DCL must advance core geosciences program goals and use AI/ML methods toward addressing scientific problems.

Areas where AI/ML methods may be used include, but are not limited to, implementing existing AI/ML methods to address geosciences problems, developing new algorithms to build geosciences insights, and/or engaging AI/ML to explore or emulate physically based models. AI/ML methods may be posed in conjunction with other geosciences and analysis methods to address a fundamental geoscience question. Proposals may also include comparison or validation of the outputs of AI/ML techniques against outputs from other, traditional analytical methods or theoretical and experimental approaches. Activities, such as making AI/ML training datasets, software and tools openly available to the scientific community and developing a workforce trained in AI/ML techniques, may be appropriate Broader Impacts of proposals in response to this call.

HOW TO SUBMIT

This is not a special competition or new program. Relevant proposals should be submitted to an existing GEO program, according to that program’s submission guidelines. Before submission, PIs should contact cognizant program directors in the program(s) within AGS, EAR, OCE, or OPP that are most relevant to their projects to discuss the appropriate mechanism for submission.

Proposals will be evaluated by the core programs, alongside other proposals submitted to those programs. Therefore, proposals should first and foremost focus on important scientific questions in the discipline of interest. Proposals must also describe the AI/ML methods and justify how the methods address a scientific challenge or question that was previously intractable. Proposers will need appropriate expertise in AI/ML methods, which can be demonstrated through previous experience with proposed methods, collaboration with relevant data science experts, and/or pathways for training students and other researchers in AI/ML.

When making investments, NSF seeks broad representation of PIs and institutions in its award portfolio, including a geographically diverse set of institutions (including those in EPSCoR jurisdictions) and PIs who are women, early-career researchers, members of underrepresented minorities, veterans, and persons with disabilities. Submissions which benefit and involve the full breadth of the geoscience research community, including undergraduates, graduate students, cyberinfrastructure professionals, and faculty at two-year and four-year institutions of higher education, including minority serving institutions and non-R1 institutions, are encouraged.

General questions about this Dear Colleague Letter may be submitted to geo-ci@nsf.gov.

Sincerely,

Alexandra R. Isern
Assistant Director for Geosciences