Science Communication Course

Lesson 1 • Ethics in Science Popularisation

Examines honesty, attribution, and the risk of oversimplification. Grounds ethical reasoning in real-world consequences for public understanding.

Lesson 2 • The Science Communication Landscape

Maps the ecosystem of actors, channels, and institutions involved in public science. Contextualises where practitioners fit within this landscape.

Lesson 3 • Defining Science Popularisation

Clarifies what science popularisation is, its historical roots, and its social function. Establishes shared vocabulary used throughout the course.

Lesson 1 • Feedback and Audience Testing

Covers methods for gathering and interpreting audience feedback before and after publication. Connects iterative testing to improved comprehension outcomes.

Lesson 2 • Tailoring Content to Audience Segments

Applies audience profiles to adjust vocabulary, analogies, and detail level. Demonstrates how the same topic can be reframed for different groups.

Lesson 3 • Audience Analysis Fundamentals

Introduces demographic, psychographic, and knowledge-level variables that shape audience needs. Provides tools for profiling target readers or viewers.

Lesson 1 • Why Stories Work in Science

Explains the cognitive and emotional basis for narrative engagement with information. Links storytelling to retention, empathy, and behaviour change.

Lesson 2 • Classic Narrative Structures

Introduces hero's journey, problem-solution, and discovery arc frameworks. Demonstrates how each structure maps onto scientific content types.

Lesson 3 • Opening Hooks and Closing Impact

Focuses on crafting compelling entry points and resonant conclusions for science pieces. Directly improves audience retention from first sentence to last.

Lesson 4 • Adapting Stories Across Formats

Translates narrative techniques to articles, videos, podcasts, and social posts. Reinforces that structure must flex to medium without losing story integrity.

Lesson 1 • Working With Numbers and Data

Teaches how to present statistics, probabilities, and measurements accessibly. Addresses common errors in public data communication.

Lesson 2 • Explaining Technical Concepts

Provides frameworks for breaking down mechanisms, processes, and data for lay readers. Connects explanation strategies to audience knowledge levels from Chapter 2.

Lesson 3 • Sentence-Level Clarity Techniques

Targets common sentence-level problems: passive voice overuse, nominalisation, and ambiguity. Builds habits that produce clear, direct scientific prose.

Lesson 4 • Structure and Flow in Science Writing

Covers paragraph organisation, transitions, and information hierarchy for science articles. Ensures readers can follow complex arguments without losing comprehension.

Lesson 1 • Illustrating Abstract Concepts

Addresses how to represent invisible, microscopic, or theoretical phenomena visually. Connects illustration choices to conceptual accuracy and audience comprehension.

Lesson 2 • Integrating Visuals With Text

Teaches how to write captions, place visuals, and create coherent multimodal pieces. Ensures visuals and text reinforce rather than duplicate each other.

Lesson 3 • Principles of Scientific Visualization

Establishes core design principles: clarity, accuracy, and visual hierarchy for science graphics. Distinguishes effective from misleading visual representations.

Lesson 4 • Charts, Graphs, and Infographics

Covers selection and construction of common data visualisation types for public audiences. Emphasises matching chart type to data structure and audience need.

Lesson 1 • Social Media Science Content

Develops skills for compressing science into platform-native formats without sacrificing accuracy. Addresses tone, hashtags, and community norms per platform.

Lesson 2 • Combating Misinformation Online

Equips communicators to identify, counter, and prebunk science misinformation in digital spaces. Connects to ethics principles from Chapter 1.

Lesson 3 • Writing for Online Audiences

Adapts writing techniques from Chapter 4 to screen-reading behaviours and short attention spans. Covers headlines, subheadings, and scannable structure.

Lesson 4 • Analytics and Content Performance

Introduces metrics for evaluating reach, engagement, and comprehension of digital science content. Builds data-driven iteration habits for ongoing improvement.

Lesson 1 • Evaluating Engagement Outcomes

Provides tools for measuring learning, attitude change, and satisfaction after science events. Connects evaluation data to iterative event improvement.

Lesson 2 • Formats for Public Science Engagement

Surveys science festivals, public lectures, workshops, and citizen science formats. Helps practitioners select formats aligned with engagement goals and audience type.

Lesson 3 • Facilitating Science Dialogue

Teaches facilitation techniques for science discussions, panels, and community forums. Emphasises inclusive participation and managing conflicting viewpoints.

Lesson 4 • Presenting Science to Live Audiences

Develops verbal delivery, body language, and Q&A management skills for science presenters. Builds confidence and adaptability in front of non-expert audiences.

Lesson 1 • Collaboration With Scientists and Institutions

Covers how to work effectively with researchers, institutions, and subject-matter experts. Addresses approval processes, editorial independence, and trust-building.

Lesson 2 • Crisis and Controversy Communication

Prepares communicators to respond to scientific controversies, retractions, and public health crises. Applies ethics and misinformation skills in high-stakes scenarios.

Lesson 3 • Developing a Communication Strategy

Guides creation of a full strategy document covering audience, message, channel, and timeline. Integrates audience analysis, storytelling, and platform skills from prior chapters.

Lesson 4 • Setting Communication Goals and Objectives

Introduces goal-setting frameworks for science communication campaigns and projects. Distinguishes awareness, attitude, and behaviour-change objectives.