Resources

Resources

Guides, references, and where to go deeper after the workshops

Drexel Tools & Access

  • AI at Drexel — the university’s central AI hub (start here).
  • AI Tools + data classification — which tools are approved for which data (authoritative).
  • ChatGPT Edu — university-licensed; primary tool for the workshops. Use GPT-5.5 when it appears in your model picker; otherwise use the current default/latest GPT model in the Drexel workspace. Request access. See also Tools & Access.
  • Microsoft Copilot Chat with Enterprise Data Protection — sign in with your Drexel M365 account; Drexel lists it as usable with High Risk Data when Enterprise Data Protection is active.
  • Microsoft 365 Copilot — integrated with Word, Excel, PowerPoint, Outlook, and Teams for licensed faculty and staff; Drexel lists it as usable with High Risk Data.
  • Zoom AI Companion — included with Drexel Zoom; meeting summaries, recaps, and action items. Drexel lists it as High Risk Data when not recorded or transcribed and Low Risk Data when recorded or transcribed.
  • Adobe Acrobat AI Assistant, PDF Spaces, Creative Cloud, and Express — document and visual tools; Drexel lists them as usable with Moderate Risk Data. Featured in Workshop 4.

Drexel Policy & Training

Quick Reference

PTCF prompt recipe — Persona, Task, Context, Format. Name who the AI should be, what to do, the background it needs, and the shape of the output.

Data self-check — What is the data classification? Does Drexel list this tool and use case for that classification? Could I use a de-identified or synthetic version? If any answer gives you pause, stop and check.

Verify before it counts — AI can state wrong facts and invent citations. Check anything that goes into a real document or decision.

Good First Uses by Role

If you… Try AI for…
Manage admin, schedules, grants Drafting emails and reminders, summarizing long threads, cleaning up notes into agendas, reformatting documents
Coordinate research Meeting recaps with action items, drafting project updates, summarizing protocols and reports, first-draft plans
Teach and run a lab / faculty Drafting and revising materials, summarizing literature on public topics, generating practice questions, reformatting slides

Public Health & AI — Further Learning

  • ASPPH — AI for Public Health Framework Report — the association’s framework for responsible, ethical AI use in public health research, practice, and education (the five-pillar framework).
  • World Health Organization (2021). Ethics and Governance of Artificial Intelligence for Health. Available online — authoritative, freely available guidance; the executive summary (pp. 1–12) is a good starting point.
  • Mollick, E. (2024). Co-Intelligence: Living and Working with AI. — accessible introduction to working with AI tools. His blog, One Useful Thing, has regular, practical updates on AI developments.

Research-Staff Sessions (Coming Summer or Fall)

For research staff who code and analyze data, specialized sessions will cover:

  • AI for data cleaning and reshaping
  • Writing and debugging code in Stata, R, and Python
  • Explaining and documenting analyses
  • Reproducibility and good practice when AI writes code

Watch for announcements, or email daq26@drexel.edu to suggest topics.

Suggest a Topic

These workshops will repeat and expand. If there’s a tool, task, or workflow you’d like covered, email daq26@drexel.edu.