ASPPH invites members and colleagues to join the next installment of its Virtual AI Roundtable Discussion Series, From Data to Dialogue: Connecting Data Users to Authoritative Public Health Data with AI, on Monday, October 26, from 1:00–2:00 PM ET. This interactive session will explore how artificial intelligence (AI) can improve access to trusted public health data while maintaining research integrity, transparency, and responsible use.

Building on ASPPH’s Harnessing Innovation: Artificial Intelligence for Academic Public Health framework, the roundtable series provides opportunities for peer learning, practical discussion, and knowledge exchange around emerging AI applications.

The series launched in September with four sessions focused on integrating AI into public health education. Discussions explored building critical AI literacy, creating AI-powered learning experiences, designing AI-enabled teaching tools, and rethinking assignments and assessments. Together, these sessions highlighted practical approaches and challenges for incorporating AI responsibly into academic settings.

The upcoming October 26 roundtable shifts the conversation toward public health data access and research. Featuring Kevin Hobbie and Madeleine Short Fabic of ICF, the session will include a live demonstration of the Demographic and Health Surveys (DHS) Program’s Model Context Protocol implementation. Participants will examine data readiness, reproducibility, validation, and human oversight, with opportunities to discuss implications for public health research and practice.

Participants can earn one Certified in Public Health (CPH) continuing education credit per session. Registration is free for ASPPH members, while non-member registration is $35 per session.

ASPPH encourages faculty, researchers, students, and public health professionals to participate and continue the conversation through the MyASPPH discussion community.