Call for Proposals

AIM-AHEAD Hub-Specific Projects

Overview and Purpose

The overall goal of the AIM-AHEAD Hub-Specific Projects is to advance community-based participatory research (CBPR), where community organizations and stakeholders are actively engaged in research using AI/ML to address the health challenges, foster trust, and ensure that the research is relevant and impactful.  This funding opportunity will support small-scale research projects co-led by leaders of community-based organizations and researchers from academic institutions or private businesses. Approaches that incorporate the interests, concerns, and values of communities have led to improvements in population-level outcomes. Accordingly, applications from collaborative teams proposing novel AI approaches to address diseases and conditions related to lifestyle and/or social factors are strongly encouraged.

The seven AIM-AHEAD regional hubs solicit hub-specific project applications that:

1. Support research teams that prioritize community stakeholders’ engagement to address chronic diseases or health conditions throughout the development of AI/ML methods.
2. Facilitate direct interaction between key stakeholder teams, AIM-AHEAD hubs, and AIM-AHEAD technical cores.
3. Utilize CBPR approaches to advance AI/ML-related capacity building opportunities for communities across the US.
4. Enhance community stakeholder understanding of and familiarly with AI/ML analytic methods.
5. Build capacity for community stakeholders (e.g., improve electronic health record (EHR) data) to engage in AI/ML research with teams experienced using AI/ML methods.

Funding for these small-scale projects is expected to establish and facilitate sustainable efforts that will enhance community leadership in AI/ML research, accelerate the dissemination of study findings to community stakeholders, and generate preliminary data to enhance the competitiveness of future larger-scale community-engaged NIH grant applications for AI/ML research applications.

Background

The AIM-AHEAD Coordinating Center supports multidisciplinary research projects that use artificial intelligence/machine learning (AI/ML) to develop novel algorithms and approaches to address chronic diseases in impacted populations, in alignment with the AIM-AHEAD North Stars. Of particular interest are research projects that use new or real-world synthetic data or existing datasets that include but are not limited to electronic health records (EHR), images, and lifestyle and non-clinical factors to develop and enhance AI/ML algorithms and applications that have the potential to reduce adverse lifestyle factors and related social variables while improving healthcare and outcomes for all.

The AIM-AHEAD Coordinating Center invites high-quality applications that can be completed within one year. Hub-specific projects are designed for new stakeholders in AIM-AHEAD regional hubs to conduct small-scale, community-engaged research studies that align with the AIM-AHEAD North Stars (see below), and which engage community organizations and stakeholders as partners in the research program.

NIH’s AIM-AHEAD establishes mutually beneficial, coordinated, and trusted partnerships to empower researchers and communities across the United States in the development of Artificial Intelligence and Machine Learning (AI/ML) models and improve the capabilities of this emerging technology, beginning with electronic health record (EHR) and extending to other lifestyle and non-clinical data to improve health for all Americans. The rapid increase in the volume of data generated through EHR and other biomedical research presents exciting opportunities for developing data science approaches (e.g., AI/ML methods) for biomedical research and improving healthcare. Many challenges hinder the more widespread use of AI/ML technologies, such as the cost, capability for widespread application, and access to appropriate infrastructure, resources, and training. Additionally, there is a lack of comprehensive and high-quality AI-ready data and a shortage of a pipeline of talented researchers in industry and academia to harness the potential of AI/ML to advance biomedical research and the practice of medicine. This program aims to build AI talents and technology to improve the health of all Americans. The program will bring AI tools to impact patients and support hospitals and communities that otherwise would not have had the resources or capacity to investigate advances in AI and ML.

AIM-AHEAD Coordinating Center

The AIM-AHEAD program goal is to establish mutually beneficial, coordinated, and trusted partnerships to empower researchers and communities across the United States in the development of artificial intelligence and machine learning (AI/ML) models and improve the capabilities of this emerging technology, beginning with the use of electronic health record (EHR) and extending to other lifestyle data to improve health of all Americans. The AIM-AHEAD Coordinating Center (ACC), isa consortium of institutions and organizations from all stakeholder groups (academic institutions, community organizations, private businesses, non-profit, and healthcare organizations) across the nation.

The A-CC will focus initially on coordination, assessment, planning, and capacity building to enhance the use of artificial intelligence (AI) and machine learning (ML) in research among the consortium institutions and organizations and to build and sustain trusted relationships between the consortium and groups impacted by health problems.

The A-CC is comprised of four main cores:

Leadership/Administrative Core: Lead the overall A-CC, recruit and coordinate consortium members, project management, partnerships, stakeholder engagement, and outreach to develop AI/ML talented researchers in health research, and to establish trusted relationships with key stakeholders to enhance the volume and quality of data used in AI/ML research. The Leadership/Administrative Core will operate as a Pass-Through Entity (PTE) for this Federal program.

Data Science Training Core: Assess, develop, and implement data science training curriculum and workforce development resources in AI/ML.

Data and Research Core: Determine and address research priorities and needs in linking and preparing linking and preparing multiple sources and types of research data to form an inclusive basis for AI/ML use cases that will illuminate strategies and approaches to address health problems. This may include facilitating the extraction and transformation of data from electronic health records (EHR) for research use and the consideration of lifestyle and non-clinical data as crucial contributors to health.

Infrastructure Core: Assessment of data, computing, and software infrastructure models, tools, resources, data science policies, and AI/ML computing models that will facilitate AI/ML and health research and establishment of pilot data and analysis environments to accelerate overall A-CC aims.

AIM-AHEAD North Stars

Hub-Specific Projects must be aligned with one or more of the AIM-AHEAD North Stars: 

North Star 1: Develop a representative AI/ML workforce with broad participation.

North Star 2: Increase knowledge, awareness and national-scale community engagement and empowerment in AI/ML. 

North Star 3: Use AI/ML to improve behavioral health, cardiometabolic health and cancer outcomes for all.

North Star 4: Build community capacity and infrastructure in AI/ML to address community-centric health challenges.

Important Notice

Consistent with NIH/HHS policies and applicable law, AIM-AHEAD programs do not use race, ethnicity, or sex of prospective program participants or faculty as an eligibility or selection criteria. The race, ethnicity, or sex of candidates will not be considered by AIM-AHEAD in the application review process or when making funding decisions.

Eligible Organizations

Higher Education Institutions

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

Nonprofits Other Than Institutions of Higher Education

• Nonprofits with 501(c)(3) IRS Status
• Nonprofits without 501(c)(3) IRS Status

For-Profit Businesses/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)

 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

The primary applicant organization must be a domestic institution/organization located in the United States and its territories. Community organizations, nonprofits and non-academic institutions are strongly encouraged to apply.  Before applying, these organizations must be registered with System for Award Management (SAM; see https://sam.gov/content/home) and must maintain active SAM registration throughout the award period (please see below for required registrations).

AIM-AHEAD CFP multi-award considerations

Individuals may NOT hold multiple AIM-AHEAD awards at the same time. Consequently, the following limitations apply:

• Applicants who have previously participated in an AIM-AHEAD traineeship, fellowship or research grant program as trainees, fellows, or PIs, respectively, are not eligible to apply to the same AIM-AHEAD program, but are encouraged to apply to other AIM-AHEAD programs.
• An applicant who applies to more than one AIM-AHEAD program, and is recommended for more than one award, should be aware that AIM-AHEAD will determine which award the applicant will receive. The applicant can only receive one award at a time.
• An applicant currently participating as an awardee, trainee, fellow, or PI in an AIM-AHEAD program, and whose current award is still active at the start of the second program, is not eligible to receive the second award.
• An applicant serving as PI on a current AIM-AHEAD award is not eligible to hold multiple AIM-AHEAD awards at the same time.

Foreign Institutions

• Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply.

• Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.

• Foreign components, as defined in the NIH Grants Policy Statement, are not

Organizational Compliance

The sponsoring institution/organization must:

• Be able to obtain an IRB determination (even if the determination is Not Human Subjects / Exempt Research). Private IRB reviews are allowable.
• Provide an organizational signoff on Data Use Agreements / Data Sharing Agreements

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 of 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 that have not already been assigned a CAGE Code. Federally recognized tribes and their derivatives are exempt from this requirement.

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 the grant application.

eRA Commons: Once the UEI is issued, organizations can register with eRA Commons in tandem with completing their Grants.gov registration.  All registrations must be in place at the 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 registration: 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.  PD(s)/PI(s) who are also organizational Signing Officials 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 his/her organization to develop an application for support.

Additional Eligibility Criteria: Hub Specific Principal Investigators

• Applicants must be U.S. Citizens, Permanent Residents, or Non-Citizen U.S. Nationals.
• U.S. Citizen: Any individual who is a citizen of the United States by law, birth, or naturalization
• Permanent Resident: A standing given to United States immigrants/non-citizens who can legally reside in the United States in perpetuity
• Non-Citizen National: A person born in an outlying possession of the United States on or after the date of formal acquisition of the United States at birth
• Individuals on temporary visa (e.g., F1, J1, H1) are not eligible. 

Eligible Applicants

Individuals who are affiliated with an eligible institution (described above) can apply for Hub-Specific Project funding. Applicants who have previously received funding from another AIM-AHEAD program are eligible to apply to the Hub-Specific Projects program. Individuals who have served as PIs on a previous or current Hub-Specific Projects award are not eligible for this opportunity.

Multiple applications from the same institution are permitted, as long as the studies are scientifically distinct.

Budget Estimates, Number of Awards, and Duration of the Program

Each Hub-Specific Project award cannot exceed $150,000 in total costs. Each hub can support a maximum of 2 awards. The research and/or capacity building supported by funded applications must be completed within one year from the start date (TBD).

Potential risks/challenges and mitigation measures

Hub-Specific Project investigators are expected to submit timely invoices and monthly reports, and complete monthly project management and evaluation documents. Potential mitigation strategies involve the development of standardized reporting tools, the use of easily accessible systems for information exchange, applicant organizations sufficiently staffed to facilitate compliance, and appreciation of the heterogeneity of organizational infrastructures. 

Expected Outcomes and Impact of the Program

Hub-Specific Projects are expected to expand the AIM-AHEAD consortium, lead to consortium development grant applications, and enhance the professional networks of AIM-AHEAD stakeholders.    Findings from funded Hub-Specific Projects are expected to generate strong proof-of-concept data that can be disseminated in scholarly journals and other communication channels, and serve as the empirical foundation for subsequent NIH grant applications.

Which Consortium hub should I connect with?

Be sure to record the relevant Hub on your application that represents your geographic location.

Application Components

1. Applicant Information (Principal Investigator(s)/Program Director)(s)
   • Provide names, institution/organizations, department, position titles, research areas, and email addresses
   • Gender, race/ethnicity, socioeconomic background, veteran, disability status (For evaluation and reporting purposes only)
2. Biosketch in NIH format (https://grants.nih.gov/grants/forms/biosketch.htm), a curriculum vitae or a professional resume (Maximum 5 pages). Biosketches in NIH format are required for key personnel from academic institutions.
3. Proposal Summary (limit 300 words) Describe concisely the specific research approach you intend to take, and identify aims, goals, deliverables, and timelines for the year.
4. Research Description: The proposed research focus or scope must fall within the AIM-AHEAD North Stars and propose community-engaged research approaches (See above). Proposed studies that do not actively demonstrate the inclusion of community partners in all aspects of the project will be considered non-responsive to this funding opportunity.
5. The Research Description should consist of the following sections (sections ii through vi may not exceed 7 pages):
   1. Project Title: The title should describe the project in concise, informative language.
   2. Specific Aims (1 page): Provide a clear, concise summary of the aims of the proposed work and the project’s relationship to your long-term goals. State the hypothesis to be tested. Briefly state the anticipated outcomes and benefits that will accrue upon successful completion of the project.
   3. Significance (1 page)
      • State the premise for the project
      • State the importance of the problem, the critical issue to be addressed, and the significance and relevance for community-engaged research
      • Explain how the proposed project will advance scientific knowledge, technical capability or community capacity.
      • Describe how the proposed project will contribute to the development of a subsequent extramural grant application
   4. Approach and Timeline (3 pages)
      • Describe the feasibility of accomplishing the proposed research and/or capacity-building activities. The project must be completed within one year.
      • Describe a community-engaged and/or collaborative research study design and strategies for inclusive participation of all partners and partner organizations (if applicable).
      • Specify the specific data source (e.g. primary data collection or a database). Available Data sources Page 11)
      • Outline the processes for establishing a data use agreement and obtaining IRB approval within the first 90 days of the award, or provide documentation that a data use agreement for the proposed project is already established and/or IRB has approved the proposed studies in human subjects or the use of data from living humans.
   5. Investigative Team (1 page maximum)
      • Describe the investigative team and their experience related to the proposed study
   6. Partnership Plan (1 page maximum)
      • See the Sample Partnering Agreement Template from the NIH Office of the Ombudsman in the Center for Collaborative Resolution for elements to address in this section https://ombudsman.nih.gov/partnerAgree) 
   7. References Cited (maximum 40 references)
      • List only references cited in the project description or supplementary documents of the proposal. 
   8. Budget and Budget Justification (2 pages)
      • Page 1: Use the NIH Detailed Budget for Initial Budget Period template. 
      • Page 2: Justification should be included for each of the separate fields for itemizing costs (consultants, equipment, supplies, travel, etc.). The total budget cannot exceed $150,000 and must include direct and indirect costs. Applicants should budget for travel costs to attend the 2026 Hub Annual meeting and the AIM-AHEAD Consortium Annual Meeting (date and time TBD).
   9. Responsible Conduct of Research, Human Subjects, and Animal Training: NIH funding requires that investigators and all key personnel MUST comply with the Responsible Conduct of Research requirement. Additionally, projects that involve human subjects or data from living humans are required to submit the study protocol for review by an Institutional Review Board (IRB) and provide documentation of the determination from the IRB.

   There is flexibility in assigning page limits among components, but items ii-vi of the proposal must not exceed 7 pages collectively.  Use 11-point Arial font, single-spaced lines, and margins of at least 0.5 inches.

6. Letters of Support
1. A Letter of Support from leadership (e.g. President, Vice President for Research, Academic Dean, Chief Executive Officer, Director) at the applicant’s place of employment confirming leadership support of the proposed project and stating the applicant will be afforded the time to conduct the project.
2. A Letter of Commitment from the partner community organization or stakeholders conveying their enthusiasm and participation in the pilot project.

Applications must include all of the above components (Applicant information, biosketch(es)/cv(s)/resume(s), Proposal Summary, Research Description parts i – ix, Two Letters of Support). Applications lacking any of these components will be considered incomplete and will be returned without further consideration.

Available Data Sources

Applicants may apply to use existing AIM-AHEAD resources including the OCHIN Community Health Equity Database on AIM-AHEAD Service Workbench or MedStar Health EHR through the AIM-AHEAD Data Bridge (AADB).

In addition to the following data sources, applicants are strongly encouraged to use local community data and inputs in their research project.  The proposal should demonstrate specific plans to obtain and analyze local community data.

Dataset options (more information available on below datasets/cohorts):

OCHIN Community Health Database

OCHIN, a nonprofit health care innovation center with a core mission to advance quality healthcare for all Americans, operates the most comprehensive database available on primary healthcare and outcomes of traditionally under resourced patients. The OCHIN Epic EHR data warehouse aggregates electronic health record (EHR) and data related to adverse life style factors and social variables representing >6 million patients from 170 health systems and 1,600 clinic sites across 33 states (4.6 million patients are ‘active,’ with a visit in the last 3 years).

Approved AIM-AHEAD projects can obtain access to up to 10 years of longitudinal, research- ready OCHIN Epic ambulatory EHR data on the PCORnet Common Data Model (CDM). Contributing health systems are outpatient community-based health centers delivering comprehensive, culturally responsive, high-quality primary care health care services for communities across the United States most impacted by health challenges, including individuals and families experiencing poverty or houselessness, migrant agricultural workers and veterans. Community-based health centers often provide on-site services such as dental, pharmacy, mental health, substance abuse treatment, and social work regardless of patients’ ability to pay.

The OCHIN Community Health Database will be accessed on the AIM-AHEAD Service Workbench. Please see the Database Data Dictionary on AIM-AHEAD Service Workbench.

MedStar Health AADB Data

MedStar Health Research Institute hosts a robust database of EHR which will be made available to approved applications. The MedStar Health System includes an extensive network of clinical facilities in the mid-Atlantic region, including 10 hospitals (3 of them rural) and includes over 300 points-of-care connected by MedStar’s HER system, built on the Cerner Millennium platform. The system includes 5 million unique patients from broadly representative American communities. Project-specific datasets can be curated and made available for pilot use. Additionally, the AADB has curated six AI/ML ready datasets which are fully de-identified and ready for access upon regulatory clearance.

Six curated AADB datasets are available to Hub-Specific Project investigators:

• Cardiometabolic correlates and maternal health
• COVID-19 pandemic: Cardiometabolic, cancer, and behavioral health
• Opioid use and misuse
• Schizophrenia data
• Voice-Assisted Personal Assistance in Heart Failure
• Breast and Lung Cancer Images

To learn more about these databases, visit the AADB website.

 Requirements Prior to Obtaining Access to AIM-AHEAD Curated Data (AADB):

• Mandatory Human Subjects Research Trainings such as CITI “Human Research (Protection of Human Subjects)” and “Responsible Conduct of Research”
• Initial data consult with the MedStar Health AADP personnel to refine data request within 30 days of Notice of Award issuance
• Submission for IRB approval/determination within 60 days of award.
• Signed data use agreement and IRB approval/determination within 90 days of award.

Applicants are strongly encouraged to expedite fulfillment of these requirements, and to complete as much as possible before submitting their proposals.

ScHaRe

As described on the NIMHD website (https://www.nimhd.nih.gov/resources/schare/), ScHARe is a cloud-based platform for population science including data of adverse life style factors and related social variables and datasets designed to accelerate research on conditions that disproportionately negatively impact our communities and healthcare delivery outcomes, and artificial intelligence (AI) bias mitigation strategies.

ScHARe aims to fill three critical gaps:

• Foster broad-based participation in data science through data science skills training, cross-discipline mentoring, and multi-career stages collaborating on research.
• Leverage population science, data on adverse lifestyle factors and related social variables and behavioral Big Data and cloud computing tools to foster a paradigm shift in research on factors affecting health of American communities and health and healthcare delivery outcomes.
• Advance AI bias mitigation and ethical inquiry by developing innovative strategies and securing broad-based perspectives.

NCATS N3C Data Enclave - The N3C Data Enclave is a secure, cloud-based research environment with a powerful analytics platform provided, which serves as the steward of N3C’s data. Since the N3C Data Enclave opened to researchers in September 2020, researchers have used the data to improve our understanding of COVID-19 and community health, diabetes, cancer, COVID-19 medications and chronic obstructive pulmonary disease. Researchers currently are studying HIV and COVID-19 risk, mortality rates in rural populations, long COVID and much more using the N3C Data Enclave.  For additional information please visit the website.

Glossary

Community-based Participatory Research (CBPR) is a collaborative research approach involving equitably involves community members, researchers, and other stakeholders in the research process and recognizes the unique strengths that each contributes (Kellogg Foundation).

Synthetic Datasets are generated through computer programs, rather than by documentation of real-world events. A synthetic dataset must be sufficiently versatile and robust to fulfill its primary purpose, the training of machine learning algorithms (https://www.unite.ai/what-is-synthetic-data/).

Applications submitted to the AIM-AHEAD Coordinating Center will undergo an internal pre-review for completeness and adherence to proposal guidelines. Incomplete and non-adherent applications will be returned unreviewed.

All eligible applications will be evaluated for scientific and technical merit by a modified NIH peer review process. The standard NIH scoring range (1-9) will be used to assign scores to the following criteria:

• Overall Impact
• Significance
• Innovation
• Approach

Peer reviewers will consider the following questions when evaluating and scoring applications:

• Is the proposal co-led by a community-based organization that demonstrates a commitment to engage in the proposed research and/or capacity building activities?
• Do the AI research projects reflect community input?
• Are the study methods and findings shared with community stakeholders?
• What is the likelihood of accomplishing the specific aims within the period of the award?
• To what extent does the proposal align with the AIM-AHEAD North Stars and overall goals of the AIM-AHEAD Consortium?
• Does the application propose to develop novel algorithms or methods for addressing adverse lifestyle factors and related social variables or generate novel insights into factors that contribute to disproportionate poor health within communities?
• Does the proposal provide a strong rationale and solid track record for community engagement?
• To what extent does the proposal describe robust research methods and evidence-informed approaches to build and sustain community partnerships and participation?
• To what extent is the proposed approach likely to achieve the goals of the project? What is the likelihood of a successful outcome?
• To what extent does the proposal appropriately consider data, and privacy considerations?
• Is this project likely to generate sufficient preliminary data that can lead to a larger NIH grant application? 

Additional Review Criteria: The review committee will evaluate the investigative team and institutional environment, but will not assign a score.

Programmatic Review: The AIM-AHEAD MPIs will conduct a programmatic review of applications.  The primary criterion for programmatic review is the application evaluation by the scientific reviewers.  Additional consideration will be given to alignment with AIM-AHEAD North Stars, stakeholder composition and geographical distribution of the overall cohort consistent with AIM-AHEAD program goals.  Results of the programmatic review will be submitted to NIH for approval of awardees.

The NIH AIM-AHEAD program staff will review the final pool of applications recommended for funding and provide the final approval. PIs of proposals recommended for funding will be notified by email. Brief feedback from the reviewers will be provided to all applicants via email.

Please note that, consistent with NIH practice and applicable law, funded programs may not use the race, ethnicity, or sex of prospective program participants or faculty as an eligibility or selection criteria. The race, ethnicity, or sex of candidates will not be considered by NIH in the application review process or when making funding decisions. 

Grantee Expectations

 Hub-Specific Project grantees will also be expected to fulfill the following AIM-AHEAD program expectations:

1. Participation in monthly awardee meetings (via Zoom)
2. Timely submission of monthly progress reports, invoices, and surveys
3. Participation in annual hub and AIM-AHEAD Consortium meetings
4. Presentation of project results at AIM-AHEAD meetings
5. Permit AIM-AHEAD to disseminate study findings through online websites, social media, and other communication channels
6. Provide a summary of attainment status of research milestones listed in the proposal, challenges faced and plans to overcome those challenges, usage of funds, and next steps
7. Within 60 days following the project end date, submit a final report of research findings, usage of funds, and a list of publications, grant applications, articles, and conference presentations emerging from the research

Hub-Specific Project Program Timeline

Funding decisions will be made by August 5, 2025.

No webinars are currently scheduled.

Questions

Questions regarding Hub-Specific Projects may be directed to the AIM-AHEAD Connect HelpDesk. You may then select the HelpDesk for the specific hub your question is directed to.