Request for Proposal: Artificial Intelligence Peer Learning Series

NNPHI seeks a qualified organization for the provision of a peer learning series on artificial intelligence for public health.

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This funding opportunity is only available to NNPHI member organizations. All NNPHI members are eligible for this opportunity, including but not limited to those public health institutes currently funded under PHIG for technical assistance, evaluation, or otherwise.

Published: February 27, 2026

Funding Amount: Up to $60,000.00

Please note: The determination of agreement classification will be determined upon review of the applicant’s submitted proposal.

Project Period: Estimated May 1 – November 30, 2026

Application Deadline: March 16, 2026, at 5:00 PM EST

Timeline toggle
  • RFP Released: February 27, 2026
  • March 6, 2026: Deadline to submit questions to PHIG@nnphi.org
  • March 16, 2026, at 5:00 PM EST: Deadline to Submit Application
  • March 17 – March 30, 2026: Review & Interview Period
  • On or before March 31, 2026: Notice of Selection
  • May 1 – November 30, 2026: Project Period

Background

The National Network of Public Health Institutes, Inc. (NNPHI)

Mobilizing 51-member public health institutes with over $2.2 billion in annual funding, NNPHI connects more than 12,000 subject matter experts with organizational partners across the nation. With an expansive organizational presence and activities across all 50 states, the national network is a go-to resource for analysis and best practices. NNPHI also provides important network connections for communities, government agencies, foundations, the health care delivery system, media, and academia.

Overview of the Public Health Infrastructure Grant (PHIG)

The Centers for Disease Control and Prevention’s (CDC’s) Public Health Infrastructure Grant (PHIG) is a groundbreaking investment supporting critical public health infrastructure. Funding from this grant is designed to ensure that health departments have the people, resources, and systems they need to assess, promote, and protect health in the communities they serve. Funding was awarded to 107 state, local, and territorial health departments (“recipients”) and three national public health partners (“National Partners”); it will be distributed over a five-year period (12/1/2022 – 11/30/2027). The purpose of PHIG is to implement activities that strengthen public health outcomes, utilizing a funding model that gives health departments the flexibility to direct funds towards specific organizational and community needs. The PHIG National Partners, consisting of the Association of State and Territorial Health Officials (ASTHO), National Network of Public Health Institutes (NNPHI), and Public Health Accreditation Board (PHAB), support the work of the funded health departments by providing training and technical assistance, evaluating the overall grant, and facilitating coordination and communication across recipients and CDC. The CDC PHIG website provides maps to visualize the funded jurisdictions.

NNPHI’s Training and Technical Assistance (TA)

As one of the PHIG National Partners, NNPHI provides two types of technical assistance (TA) to PHIG recipients with the purpose of building recipients’ overall capacity to implement measurable and sustainable process and system improvements at their agencies. First, responsive TA allows PHIG recipients to submit a request for on-demand direct assistance with their PHIG workplan activities. The second type of TA is proactive, which aims to address the needs of several recipients at once in a more strategic manner. Responsive TA may take the form of resource sharing; feedback or input on documents, processes, plans, etc.; training delivery; coaching; or additional hands-on support like facilitating strategic planning sessions or making workforce development plans actionable. Proactive TA is delivered in the form of trainings and webinars; peer networks and communities of practice; resource development and dissemination; and convenings.

AI Peer Learning Series

NNPHI is seeking qualified organizations for the provision of a peer learning series on using artificial intelligence (AI) for public health efforts. This peer learning series will be a form of proactive technical assistance and will be made accessible to all PHIG recipients that could benefit from and contribute to a shared learning environment.

NNPHI is the Project ECHO for Public Health Superhub. Project ECHO® is a peer learning framework that follows the mindset of “all teach, all learn,” which allows participants to engage their virtual community to share and receive support, guidance, and feedback. This framework also allows participants to grow a collective understanding of how to disseminate and implement best practices on a given topic. As a Superhub, NNPHI translates the ECHO model from the clinical environment to public health practice, trains and supports organizations to develop their own public health-related ECHOs, and funds relevant ECHO projects when possible. For more than five years, NNPHI and its partners have utilized the ECHO model for many public health topics. For more information about NNPHI’s Project ECHO for Public Health Superhub and the ECHO model, please visit our website.

Ideally, this peer learning series would be executed by an ECHO certified hub (an organization that has successfully completed an ECHO Partner Launch Training) and operate as an ECHO series. However, NNPHI will accept proposals from organizations who are not certified ECHO hubs if their proposals demonstrate strong facilitation skills that promote heightened engagement and bidirectional learning.

Guidance on Training Description, Content, & Delivery Format Overview

The following information provides general guidance for this peer learning series. NNPHI recommends the organization that wins this RFP (“Awardee”) to utilize the following training delivery structure.

Structure

The peer learning series should include:

  • Five to six 90-minute sessions using a virtual meeting platform (e.g., Zoom).
  • An experienced facilitator who can foster engagement, interaction, and create a space for shared learning between PHIG recipients during each session.
  • An ECHO model session structure that includes a didactic presentation on a session topic, a case study or example aligned with the session topic, and group discussion(s).

Previous successful peer learning series have followed this agenda:

  1. Welcome and housekeeping
  2. 15-to-20-minute didactic presentation provided by a subject matter expert (SME)
  3. 10-minute case study presentation or real-life example from a public health agency
  4. Questions from group to presenters
  5. Group discussion on session topic (or break into small group discussions, depending on attendance size)
  6. Closing (if small group discussions, reconvene to report out on biggest takeaways)
The Didactic Portion

As the increased use of AI and application of AI in public health continues to grow, there is a need for public health agencies to better understand the fundamentals of creating an ethical, responsible AI policy and various use cases for applying AI to their work. Each peer learning session should have a different AI-related topic. Recognizing AI is a general-purpose technology and the audience is PHIG-funded health departments (a non-research grant), applicants are encouraged to consider the most practical applications of AI for this peer learning series. While NNPHI will consider any topics that seem relevant for practical implementation by health departments, applicants are encouraged to frame proposed topic suggestions in terms of relevance to specific foundational capabilities of health departments as well as alignment with the pillars and cross-cutting enablers referenced in the most recent HHS AI Strategy (see Artificial Intelligence (AI) Strategy v3).

Topic examples may include ethical use of AI in public health practice; the impacts of AI use on the environment, public health, and the workforce; creating an AI policy for a public health agency; and various use cases for AI in public health practice, such as for electronic case reporting (eCR), environmental health reporting, syndromic surveillance, communicable disease outbreak predictions, data analytics and modeling (i.e., geospatial predictive analytics), data analysis, data visualization, qualitative research thematic analysis, public health administrative and operational efficiency, strategic planning, or communications. Proposed session topics must be approved by NNPHI, to assure relevance to PHIG recipients and to prevent duplication of efforts related to other proactive TA offered. For example, an AI policy development toolkit was recently created as proactive TA, therefore any peer learning sessions on AI policy development should align with the existing guidance from the toolkit.

The didactic portion should be presented by a subject matter expert who can make complex ideas easy to understand for a wide range of public health professionals, set the stage for robust conversation, and have clear explanations and practical guidance. This could be a team member of the Awardee, or this could be a guest speaker that the Awardee recruits and provides an honorarium. Please note that the didactic presentations may be recorded for sharing purposes among other PHIG recipients.

The Case Study or Example

The case study or example aligned to the session topic should be provided by a participant, which allows jurisdictions to learn from each other in a more practical, realistic manner. In previous peer learning series, we have often heard that the didactic portion and subject matter expert sets the stage, but the case study portion really brings the topic to life. The Awardee will oversee recruiting PHIG recipients to share case studies and/or present their experiences on the topic.

The Discussion Portion

Engaged discussions are the hallmark of the ECHO Model. As with all virtual communities, some participants drop off during the discussion portion of a call. However, some participants thrive in group discussions. During this peer learning series, the Awardee will equip participants with questions or prompts to promote robust dialogue and discussion during breakout sessions or group discussion.

Scope of Work

The Awardee will collaborate with the NNPHI PHIG technical assistance team on this project. The Awardee will execute the following phases of this peer learning series.

Scope of Work Phases & Activities toggle
Planning & Promotional Phase (May – October 2026)

Key planning and coordination activities:

  • Create a project charter and timeline
  • Determine logistics (e.g., iECHO management, web-based platform to share session materials)
  • Attend coordination meetings with the NNPHI team

Key marketing and promotional activities:

  • Develop registration materials
  • Create promotional materials for marketing the series to PHIG recipients
  • Disseminate promotional materials and conduct outreach to maintain high participation throughout series in collaboration with NNPHI
Content Phase (May – September 2026)

Key activities:

  • Finalize topics in coordination with NNPHI
  • Recruit, coordinate, and contract with topical SMEs
  • Recruit topical case studies from PHIG recipients
  • Coordinate content alignment with the NNPHI team
  • Complete evaluation surveys for each session in collaboration with NNPHI’s Evidence to Action team
Implementation Phase (August – October 2026)

Key activities:

  • Host and facilitate all 5-6 peer learning sessions
  • Incorporate CQI/evaluation improvement feedback in subsequent sessions
  • Share session materials with participants and the NNPHI team (e.g., didactic recordings, presentation slides)
Evaluation & Wrap-Up Phase (October – November 2026)

Key activities:

  • Analyze participation and evaluation data
  • Complete summary report for NNPHI using required template developed by NNPHI
  • Attend final meeting with the NNPHI team
Selection Criteria toggle

Selection will be determined by NNPHI, based on qualifications, completeness, and alignment with the terms outlined in this RFP. The selection of an organization for this project will be guided by the following criteria:

  1. The submitting organization is an NNPHI member organization.
  2. Demonstrated ability and expertise in facilitation to foster robust dialogue and discussion in virtual environments.
  3. Subject matter expertise for AI in public health practice, through internal team members and guest speakers that will be recruited. If you plan to recruit guest speakers, please indicate their names, credentials, and expertise in the proposed topic areas.
  4. Ability to work collaboratively with stakeholders across state, local, government, and nonprofit sectors.
  5. Capacity to perform within the scope and timelines outlined by NNPHI, ensuring timely and
  6. effective delivery of outcomes.
  7. Experience with PHIG and/or demonstrates an understanding of PHIG or similar public health initiatives.
Qualifications toggle
  • Experience in governmental public health data modernization, public health infrastructure, and/or public health information technology.
  • Expertise in AI use cases and application for AI in public health practice, or demonstrated connections to recruit guest speakers with the topical expertise.
  • Proven ability to facilitate engaging discussion amongst diverse audiences.
    • Preference will be given to organizations that are ECHO-certified Hubs.
  • Understanding of public health systems, funding structures, and population health challenges preferred.
  • Excellent communication, visualization, and writing skills.
  • Demonstrated ability to meet deadlines and deliver concise, actionable outputs.
Proposal Requirements toggle

Applicants should submit a proposal summary as a single PDF in this submission form by 5:00 PM EST on March 16, 2026. The summary should not exceed 4 pages in 12-point, single-spaced, Times New Roman font, with 1-inch margins. Include the following in your summary:

  • Cover Page, including:
    1. Name of Applicant
    2. Title & Affiliated Organization (if applicable)
    3. Email Address
    4. Phone Number
    5. Federal Tax ID or SSN
    6. Unique Entity Identifier (UEI) from SAM.gov*
    7. Any other relevant information required for agreement and processing purposes
*Please note that any entity receiving payment for work on a federally funded project must be registered with SAM.gov.
  • Application Narrative of Qualifications and Experience
    1. Describe the background, qualifications, and experience of the organization and explain why the team is qualified to be responsive to this RFP.
    2. Describe the organization’s experience providing similar services as those described in this RFP. Provide sufficient detail to demonstrate the knowledge, skills, and abilities to perform the functions outlined in the RFP, including specific examples.
    3. Describe your proposed AI-related session topics.
    4. Describe the background and experience of the individual(s) assigned to the project, namely, the main facilitator, programmatic support staff, and potential topical subject matter experts for your proposed AI sessions.
  • Budget & Budget Narrative: Cost estimates with justifications using the CDC Budget Preparation Guidelines. If selected and upon NNPHI’s Grants & Contracts Officer review, the Awardee’s cost estimate format may be subject to negotiations.
  • Attachments, including:
    1. Resumes for primary staff who will complete the work (not included in page limit).
    2. Two references for which you have performed comparable work to the requirements of this RFP (not included in page limit).
    3. Letters of support from any external subject matter experts you propose to engage for sessions (not required but encouraged; not included in page limit).

Applicants who proceed in the selection process may be required to participate in an interview to determine the final selection.

Questions? toggle

Please send questions about this RFP to PHIG@nnphi.org. Questions will be accepted until March 6, 2026, at 5:00PM EST.

Submit your proposal now

Use this submission form to apply for the AI Peer Learning opportunity

Notice to Applicants

This RFP is not binding on NNPHI, nor does it constitute a contractual offer. Without limiting the foregoing, NNPHI reserves the right, in its sole discretion, to reject any or all proposals; to modify, supplement, or cancel the RFP; to waive any deviation from the RFP; to negotiate regarding any proposal; and to negotiate final terms and conditions that may differ from those stated in the RFP. Under no circumstances shall NNPHI be liable for any costs incurred by any person in connection with the preparation and submission of a response to this RFP.

Disclosure

This work is supported by funds made available from the Centers for Disease Control and Prevention (CDC) of the U.S. Department of Health and Human Services (HHS), National Center for STLT Public Health Infrastructure and Workforce, through OE22-2203: Strengthening U.S. Public Health Infrastructure, Workforce, and Data Systems grant. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by CDC/HHS, or the U.S. Government.