#public-communication

Translate complex scientific concepts for general audiences while maintaining accuracy. Science communication principles: 1. Plain language: replace jargon with everyday terms or explain technical vocabulary. 2. Analogy and metaphor: relate complex concepts to familiar experiences. 3. Narrative structure: story arc with conflict, resolution, implications. 4. Visual support: diagrams, infographics, charts for complex data. Audience analysis: 1. Education level: high school to college graduates for general public. 2. Prior knowledge: assume basic science literacy, build from there. 3. Interests: health, environment, technology applications. 4. Reading preferences: scanning vs. deep reading, mobile vs. desktop. Accuracy considerations: 1. Source verification: peer-reviewed research, expert interviews. 2. Uncertainty acknowledgment: discuss limitations, ongoing research. 3. Context provision: broader implications, real-world applications. 4. Expert review: scientist fact-checking before publication. Writing techniques: 1. Inverted pyramid: key findings first, methodology details later. 2. Active voice: makes writing more engaging and clear. 3. Concrete examples: specific cases rather than abstract concepts. Distribution channels: science blogs, popular magazines, social media threads, podcast scripts.