AI for Science Communicators: Translate technical findings into accurate, engaging formats

Science communicators often face the same challenge: how do you turn dense research into a clear public story without losing accuracy, context, or trust? AI for Science Communicators: Research to Public Story by Maya Ellison offers a practical, responsible way to use AI and ChatGPT-style tools across the communication process.This guide shows you how to build a reliable AI-assisted science communication workflow, identify the claims that matter in a research paper, and translate evidence into language people can understand and use. You'll learn how to write effective prompts, develop drafts with editorial control, fact-check AI-assisted content, and adapt one finding for articles, social posts, explainers, presentations, newsletters, and other public formats.The introduction establishes the principles of accurate, audience-aware science communication. Focused chapters then move from research reading and evidence assessment to message development, drafting, verification, and publication. A practical conclusion brings the workflow together so you can communicate with greater clarity and confidence.Whether you are a researcher, press officer, educator, journalist, or science communicator, this book helps you use AI as a tool-not a substitute for judgment-to create public-facing science stories that are engaging, transparent, and trustworthy.