Use AI for meetings, project planning, shared prompts, and team documents
AI helps most on shared work: it captures what happened, structures what’s next, and standardizes how the group works.
A team workspace in ChatGPT Edu: one place for related chats, uploaded files, and custom instructions everyone shares.
Reusable assistants you set up once with your own instructions and reference files, then share inside the Drexel workspace.
A running document of prompts that worked — the cheapest, highest-return habit a team can start.
Data, consent, and equity — the questions that appear the moment AI use becomes shared.
The moment AI use becomes shared, new questions appear: whose data is this, who agreed to it, and who has access?
Turn raw inputs into project artifacts, then build and share a team workspace.
Paste messy notes; ask for a 3-bullet summary, decisions, and an action-item table with owner and due date. It surfaces the gaps.
Describe a project in a sentence; ask for phases, key tasks, a rough timeline, and the top 5 risks with mitigations.
Push back: “What am I missing?” “What would make this slip?” Use AI to find blind spots, not to write the final plan.
Build a shared Project so a team has one context — files, instructions, and chats — then share it with someone in the room.
Create one reusable team tool and start the habit that keeps it going.
AI helps teams by capturing meetings, structuring plans, and standardizing how the group works.
Specialized sessions for research staff who code and analyze data are coming this summer or fall.