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Drexel UniversityDornsife School of Public Health
Department of Environmental
& Occupational Health
AI WORKSHOPS FOR DSPH

Collaboration on Projects

Use AI for meetings, project planning, shared prompts, and team documents

Alex Quistberg, PhD, MPHAssociate Research Professor · Department of Environmental & Occupational Health
Workshop 3 · July 14, 2026
WHAT YOU'LL LEAVE WITH

Agenda & Objectives

  1. 1Turn meeting notes into recaps, decisions, and actions.
  2. 2Use AI to draft and pressure-test a project plan.
  3. 3Set up a shared Project in ChatGPT Edu for your team.
  4. 4Build a custom GPT your team can reuse internally.
  5. 5Apply data and consent rules to shared AI use.
SECTION 01

From Solo to Team

AI helps most on shared work: it captures what happened, structures what’s next, and standardizes how the group works.

THREE TEAM TOOLS

What Carries the Session

Shared Projects

A team workspace in ChatGPT Edu: one place for related chats, uploaded files, and custom instructions everyone shares.

Custom GPTs

Reusable assistants you set up once with your own instructions and reference files, then share inside the Drexel workspace.

Shared Prompt Library

A running document of prompts that worked — the cheapest, highest-return habit a team can start.

WHICH IS WHICH

Project vs. Custom GPT

Use a Project when…
  • A team collaborates on an ongoing body of work
  • You need shared chats, files, and instructions in one place
  • Example: co-writing a brief over several weeks
Use a custom GPT when…
  • You want a consistent tool for one repeated job
  • Everyone needs the same output format every time
  • Example: turning messy notes into a standard recap
SECTION 02

Ethics & Governance

Data, consent, and equity — the questions that appear the moment AI use becomes shared.

SHARED-USE RULES

Govern Team AI Use

The moment AI use becomes shared, new questions appear: whose data is this, who agreed to it, and who has access?

  • Keep sharing inside Drexel — invite “only those invited,” not “anyone with a link.”
  • No PHI, sensitive PII, confidential HR or contract material, or identifiable research data in shared files.
  • Match the tool and use case to Drexel’s data classification; a shared Project uses its own isolated memory.
SECTION 03

Hands-On

Turn raw inputs into project artifacts, then build and share a team workspace.

ACTIVITY 1 · ~13 MIN

Meetings & Project Planning

Notes to Recap

Paste messy notes; ask for a 3-bullet summary, decisions, and an action-item table with owner and due date. It surfaces the gaps.

Draft a Plan

Describe a project in a sentence; ask for phases, key tasks, a rough timeline, and the top 5 risks with mitigations.

Stress-Test It

Push back: “What am I missing?” “What would make this slip?” Use AI to find blind spots, not to write the final plan.

ACTIVITY 2 · ~17 MIN

Create and Share a Project

Build a shared Project so a team has one context — files, instructions, and chats — then share it with someone in the room.

  • Build — name it for real team work, add project instructions, upload one or two approved reference files.
  • Share — invite a partner with “Only those invited”; choose Can chat or Can edit.
  • Continue — have your partner pick up your chat and see they get the same context.
ACTIVITY 3 · ~6 MIN (OPTIONAL)

Custom GPT + Prompt Library

Create one reusable team tool and start the habit that keeps it going.

  • Build a custom GPT for a repeated job — clear instructions, optional reference files, a consistent format.
  • Start a shared prompt library in Teams/SharePoint — title, prompt with placeholders, and a one-line “use when.”
  • Agree on one norm: where it lives, and that anyone can add to it.
WRAP-UP

What to Take Away

AI helps teams by capturing meetings, structuring plans, and standardizing how the group works.

  • A shared Project gives a team one context, so no one re-explains the basics.
  • Custom GPTs turn a good prompt into an internally shared tool.
  • Team commitment: name one thing your team will set up this month.
Drexel UniversityDornsife School of Public Health
THANK YOU

Questions & Discussion

Specialized sessions for research staff who code and analyze data are coming this summer or fall.

Alex Quistberg, PhD, MPHdaq26@drexel.edu
Department of Environmental & Occupational Health