Leveraging AI, Data, and Predictive Analytics for Health Equity and Philanthropy

This 3-week webinar series will examine how artificial intelligence, data analytics, and predictive modeling can be utilized to address health equity in fundraising and philanthropic initiatives. Learners will explore how these systems can help identify health disparities, outcomes, and needs in socially, culturally, and economically diverse communities; guide fundraising strategies; and assess the effectiveness of addressing health disparities through philanthropy.

February 5, 12 and 19, 2025
1:00 p.m.–3:00 p.m. EDT

  • Live two-hour webinars with expert facilitators
  • Participants must complete one AI assignment to receive CFRE points and micro-credential.
  • You should plan to invest a total of 4-6 hours per week over the duration of the course
  • All modules are recorded should you miss a date.

Full participation in Leveraging AI, Data, and Predictive Analytics for Health Equity and Philanthropy is applicable for 6.0 points in Category 1.B -Education of the CFRE International application for initial certification and/or recertification.

Click here to view Course Modules

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Inclusive Philanthropy Institute
Maia McGill

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In this module, we will explore how AI and predictive analytics identifies health disparities across socially, culturally, and economically diverse groups and examine these tools and their roles in advancing health equity and philanthropy. Case studies that integrate AI into healthcare systems by leveraging data to inform interventions in diverse communities will be presented and discussed. Learners will be equipped with best practices and real-world insights and provided tools to harness AI and predictive analytics that can be used to drive impactful, equity-focused initiatives in health care and fundraising.

Learners will explore how to use their health data from Module 1 to identify key health disparities and align fundraising campaigns within the context of inclusive philanthropy by integrating AI to support intentional, sustainable fundraising and philanthropic strategies. Learners will be provided with tools to develop personalized donor strategies using AI to match donor interests with healthcare equity solutions, increasing engagement and elevating fundraising strategies.

This module will explore the transformative role of centralized data platforms in unifying diverse data sources, creating a streamlined, impactful approach to inclusive philanthropy. By integrating these systems, participants will gain visibility into how AI can be effectively harnessed to address health disparities, improve patient outcomes, and enhance donor engagement. Learners will explore real-time analytics, inclusive metrics, and methods for aligning philanthropic efforts with community needs, ultimately creating a responsive and inclusive framework that supports measurable health equity outcomes.

Early Bird Registration December 2, 2024-January 6, 2025: $325 per person
General Registration January 7-27, 2025: $340 per person
Marts&Lundy Client Registration: $325 per person throughout the registration period