Speaking and Workshops
Talks on practical AI applications for public health
Talks on practical AI applications for public health
Grounded, engaging sessions that help public health and mission-driven audiences understand where AI fits, where it does not, and how to start responsibly.
Nick Swope speaks and teaches on practical AI applications for public health, nonprofits, universities, coalitions, recovery organizations, and mission-driven teams. Sessions are designed to be useful, realistic, and action-oriented rather than hype-driven.
AI is moving quickly, but most public health teams need something more concrete than general AI news. They need examples, boundaries, tools, and next steps that fit real public health work.
Nick helps audiences understand how AI can support evidence synthesis, health communication, workforce training, reporting, workflow improvement, and responsible implementation while keeping human judgment and public trust at the center.
Popular speaking topics
Practical AI Applications for Public Health
A grounded overview of where AI can actually help public-health professionals today, with examples tied to communication, evidence synthesis, teaching, workflow support, and responsible implementation.
AI for Communication, Evidence, and Training
A focused session on how AI can support plain-language communication, literature and policy synthesis, internal reporting, and workforce development without replacing professional judgment.
Building a 30-Day AI Pilot Plan
A hands-on workshop that helps teams choose one workflow, define success, identify risks, set review steps, and plan a small pilot.
From AI Curiosity to Implementation
A practical framework for moving an organization from broad interest toward safer pilots, staff training, use-case selection, workflow design, and workable oversight.
Responsible AI for Public Health Teams
A practical session on human review, source awareness, risk tiers, sensitive data boundaries, disclosure language, and staff expectations.
Should We Build a Chatbot?
A decision-focused session for teams considering AI assistants, chatbots, resource-navigation tools, or internal knowledge assistants.
Conference keynote or plenary
Best for broad audiences that need a shared understanding of practical AI opportunities, risks, and next steps.
Typical length: 45-60 minutes
Team workshop
Best for agencies, nonprofits, universities, or coalitions that want staff to practice using AI for real workflows.
Typical length: 2 hours, half day, or full day
Virtual training
Best for distributed teams that need practical examples, templates, and a clear starting point.
Typical length: 60-120 minutes
Conference breakout session
Best for public health professionals who want examples, discussion, and practical takeaways.
Typical length: 45-90 minutes
Leadership briefing
Best for directors, managers, faculty leaders, and decision-makers who need to understand readiness, risk, policy, and implementation options.
Typical length: 60-90 minutes
What audiences leave with
Attendees leave with:
A clearer understanding of where AI fits in public health work
Practical examples they can apply to real tasks
A better sense of what AI should not be used for
Human-review and source-checking expectations
A simple framework for choosing a first workflow
Next steps for training, workflow design, or responsible implementation
Skills to apply immediately.
Bring this conversation to your audience
Use the contact form to share your audience, event date, format, session goals, expected attendance, and whether you are looking for a keynote, breakout session, workshop, leadership briefing, or virtual training.