Communication & Dissemination Track

Self-paced track · 9 topics · novice → advanced

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Use AI to write, translate, and disseminate public-health work — from grants and manuscripts to plain-language and multilingual materials. Every page assumes you’ve done Core 1 (prompting and the Drexel data rules). The throughline: AI drafts; you verify and own every fact, citation, and claim.

Teaching-related topics — course AI policies, assignment design, and the student-facing pages on coursework and thesis work — now live in the Teaching & Learning track. The AI features built into Outlook, Zoom, and Acrobat now live in the Everyday Tools track.

Difficulty levels

Novice   getting started — no prior experience needed. Moderate   comfortable with some AI use. Advanced   experienced users going deep.

Topics

# Topic Level You’ll be able to…
1 Science Communication & Plain-Language Translation Novice Turn findings into briefs, fact sheets, and posts at the right reading level
2 Grant & Proposal Development Moderate Draft aims, biosketches, and justifications, then tighten to funder rules
3 Literature Review & Evidence Synthesis Moderate Build searches, screen abstracts, and summarize — verifying every citation
4 Multilingual & Culturally-Adapted Materials Moderate Translate and culturally adapt outreach, with back-translation QA
5 Manuscript Preparation & Peer Review Advanced Draft sections and reviewer responses; respect peer-review confidentiality
6 AI for Design & Visual Communication Moderate Make graphics with Claude, Canva, Figma, and Adobe — matched to the data level
7 Collaborating on Projects Moderate Set up shared Projects and custom GPTs for a team (companion to Core 3)
8 Grant Administration with AI Novice Track deadlines, format compliance docs, and draft progress reports
9 AI for Slides & Presentations Novice Build one deck three ways and choose a tool by content and data rules

Not sure where to start?

Answer a few questions to find your starting point in this track.

WarningData rules apply throughout

Use public or non-sensitive data for every activity, and match any tool to Drexel’s data classification. See Tools & Access and Drexel’s AI Tools page.


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