What you'll learn:
- Apply the engagement model of science communication instead of the failed deficit model
- Analyze any audience for prior knowledge, mental models, and motivation
- Construct productive analogies and recognize when they break down
- Move fluidly along the ladder of abstraction in any explanation
- Use narrative structures including mystery, quest, and discovery to teach science
- Design clear figures and diagrams and avoid common chart crimes
- Communicate confidence levels, ranges, and probabilities honestly
- Adapt content across abstracts, press releases, blogs, social media, and talks
This course contains the use of artificial intelligence.
Science is moving faster than the public's ability to understand it, and the cost of bad science communication has never been higher. From vaccine hesitancy to climate confusion to the misreading of statistics in everyday news, the gap between what researchers know and what the public hears is shaping policy, health, and trust in expertise. If you are a scientist, graduate student, public health communicator, or technical professional, your ability to bridge that gap is now part of your job, whether your training prepared you for it or not. This course gives you the principles and practical techniques to do it well.
You will start with the foundations of how science communication actually works, including why simply providing more information rarely changes minds, how trust shapes reception, and what the engagement model looks like in practice. You will learn audience analysis in depth, covering prior knowledge, mental models, misconceptions, motivation, and adaptation across audiences from the general public to policymakers, funders, and cross-disciplinary scientists. You will develop the craft of simplification without distortion, mastering analogies and their limits, the ladder of abstraction, concrete examples, selective omission, and the disciplined handling of jargon. You will also explore narrative structures including mystery, quest, and discovery, and learn to make methods themselves interesting.
The course continues into visual communication, where you will design clear figures, choose the right charts, build effective diagrams and visual metaphors, and recognize the chart crimes that quietly distort scientific findings. You will tackle uncertainty communication head on, learning to convey confidence levels, ranges, and probabilities in ways that audiences can actually use, without either overstating or hedging into meaninglessness. You will adapt your skills across formats including abstracts, press releases, blog posts, social media, and live presentations, and you will build the practical media skills of working with journalists, preparing for interviews, handling controversy, correcting misrepresentations, and growing a sustainable public presence.
This is not a journalism course or a public relations course. It teaches the principles and techniques of making complex science accessible while preserving accuracy, the limits of evidence, and the honest texture of how science actually works. Whether you are about to give your first public talk, write your first press release, or simply want to be understood when you explain your research at a family dinner, this course will give you a complete toolkit and a clear sense of how to keep building it over a career. Enroll now and start communicating your science with the clarity and integrity it deserves.
