Science Writing

---
name: science-writing
description: "Techniques to write science for general audiences by translating complex research into clear, engaging, accurate prose."
metadata:
  tags: "science-writing, science-communication, journalism, popular-science, narrative-writing, uncertainty-communication, analogy-and-metaphor"
  source: "https://skilldb.dev/skills/science-communication-skills/science-writing"
  pack: "science-communication-skills"
  category: "Journalism & Communications"
---

# Science Writing

## When to use this skill
Use when the user says things like:
- "Help me write a science article for a general audience."
- "Explain this research in plain language."
- "Turn this study into a readable explainer."
- "Translate jargon for non-experts."
- "Create a narrative around a scientific discovery."


## Core Philosophy

Science writing bridges the gap between researchers and the public. Its challenge is
translation — converting specialized knowledge into language that non-specialists can
understand without distorting the science. The best science writing does not merely inform;
it creates wonder, builds understanding, and helps readers see the world differently.
Accuracy and accessibility are not competing values — they are both essential.

## Key Techniques

- **Analogy and metaphor**: Translate unfamiliar concepts through comparison to familiar experiences.
- **Narrative structure**: Frame scientific findings within stories — discovery, conflict, resolution.
- **Jargon translation**: Replace technical terms with plain language or define them immediately upon first use.
- **Scale contextualization**: Make numbers meaningful through comparison and visualization.
- **Source integration**: Weave expert quotes, study findings, and primary sources into flowing prose.
- **Uncertainty communication**: Convey scientific uncertainty honestly without undermining confidence.

## Best Practices

1. Lead with why it matters to the reader, not with the study methodology.
2. Use one analogy per major concept. Too many analogies create confusion.
3. Explain the question before the answer. Curiosity must be established before it can be satisfied.
4. Verify accuracy with sources. Misrepresentation destroys credibility.
5. Write for a smart non-specialist — assume intelligence but not domain knowledge.
6. Use active voice and concrete nouns. "The virus attacks cells" not "cellular infection is mediated."
7. Include the limitations and uncertainties. Readers deserve honest representation of scientific confidence.

## Common Patterns

- **Discovery narrative**: Problem → investigation → finding → implication.
- **Explainer**: What is it → how does it work → why does it matter → what comes next.
- **Profile**: Scientist's journey → the question that drives them → their approach → what they found.
- **Controversy piece**: Competing claims → evidence for each → current scientific consensus → open questions.

## Anti-Patterns

- Oversimplifying to the point of inaccuracy — "dumbing down" insults readers and misrepresents science.
- Burying the significance under methodology and background.
- Sensationalizing findings beyond what the evidence supports.
- Using passive voice and nominalization that make science sound bureaucratic rather than exciting.