Scientific Communication

Introduction

Scientific communication is the practice of making scientific questions, methods, evidence, conclusions, and uncertainties understandable to a particular audience. In this course, you will work with two connected forms: communication within research communities through papers, reports, posters, talks, data displays, and peer review; and communication between science and wider publics through journalism, outreach, videos, exhibitions, policy briefs, and social media.

This aiMOOC is designed for Grades 11–13. It connects English, Science, Academic writing, Media literacy, Data visualization, and Research. You will learn not only how to present information, but also how to make responsible choices about evidence, language, visuals, uncertainty, sources, and audience needs.

By the end of the course, you should be able to plan a scientific message for a defined audience, structure a short research report, write a clear abstract, explain data with honest visuals, distinguish results from interpretation, cite sources, give constructive peer feedback, design a research poster, deliver a short scientific talk, and adapt a scientific idea for non-specialists without distorting it.

What Scientific Communication Does

Scientific communication helps knowledge move. A researcher may communicate with collaborators while a study is being designed, with specialists through a journal article, with conference participants through a poster, with decision-makers through a briefing, or with the public through an interview or video. The best form depends on the goal, the audience, the evidence, and the context.

A useful planning sequence is: goal → audience → evidence → key message → medium → feedback. Start by deciding what your audience should understand or be able to do. Then select evidence that supports that goal. Only after that should you choose whether a paper, graph, poster, talk, infographic, podcast, or video is the best medium.

Scientific communication is not simply the transfer of facts. Different audiences have different prior knowledge, interests, values, questions, and reasons for paying attention. Effective communication therefore requires listening, testing whether your message is understood, and adjusting the explanation without changing the evidence.

This iBiology talk by Kishore Hari introduces several forms of public science engagement. While watching, notice how communication can move from one-way explanation toward dialogue and participation.

Audience, Purpose, and Medium

Before you communicate, ask: Who is the audience? What do they already know? What do they need to know? What decision or task are they facing? What evidence is most relevant? A specialist audience can usually work with technical vocabulary and methodological detail. A general audience often needs definitions, examples, comparisons, and a clear explanation of why the topic matters.

Adapting to an audience does not mean making the science less accurate. It means choosing an appropriate level of detail. For example, a laboratory report may describe the concentration of every reagent, while a public article may focus on the study design, the main result, the limits, and the practical significance.

Different media also create different constraints. A journal article can preserve detailed methods and references. A poster must be scanned quickly from a distance. A short video needs a strong visual sequence and spoken signposting. A social-media post is highly compressed, so it should link to fuller evidence and clearly distinguish established findings from preliminary claims.

Scientific Writing

Scientific writing aims for clarity, precision, traceability, and proportionate claims. Strong scientific prose helps the reader see what was asked, what was done, what was observed, what the evidence supports, and what remains uncertain.

Useful habits include defining technical terms when they first appear, preferring concrete verbs over inflated phrases, keeping one main idea per sentence when possible, using headings to make structure visible, and revising for unnecessary repetition. Active voice can often make responsibility clear, as in “We measured temperature every ten minutes.” Passive voice can still be useful when the procedure matters more than the actor, as in “Samples were stored at 4 °C.”

Hedging is calibrated language that matches the strength of a claim to the evidence. Words such as “suggests,” “is consistent with,” “may,” and “is associated with” can be more accurate than “proves” when evidence is limited or observational. Hedging should not hide a strong result; its purpose is to prevent overstatement.

Structure of a Research Article

Many empirical research papers use the IMRAD structure: Introduction, Methods, Results, and Discussion. It is a communication structure, not necessarily a diary of the order in which the research happened.

The Introduction establishes the problem, relevant background, and research question. The Methods explain how the study was carried out in enough detail for readers to understand and evaluate the design. The Results report what was found. The Discussion interprets the findings, compares them with expectations or previous work, considers limitations, and explains possible implications.

An abstract is a compact, stand-alone summary. A strong abstract usually identifies the problem or purpose, the approach, the main result, and the main conclusion. Because many readers see the abstract before the full paper, it must be informative without exaggeration.

The publication system connects individual articles to journals, databases, indexing services, and readers. Scientific writing is therefore part of a larger information system in which discoverability, documentation, and citation matter.

Results Are Not the Same as Discussion

A common communication error is mixing observation with interpretation. “The treated plants were 18% taller after four weeks” is a result. “The treatment may have increased growth by improving nutrient availability” is an interpretation that belongs in the discussion unless the study directly tested that mechanism.

Keeping these functions distinct helps readers evaluate the evidence for themselves. It also reduces the risk that an attractive explanation will be mistaken for a measured fact.

Evidence, Data, and Visual Communication

Figures and tables are not decorations. They are arguments built from data. A useful figure should answer a question more quickly or clearly than prose alone.

A good graph identifies the variables, labels axes, gives units, explains symbols, and uses a scale that does not distort the pattern. If uncertainty is shown with error bars or intervals, the caption should explain what they represent. Avoid unnecessary three-dimensional effects, cropped scales that exaggerate small differences, decorative elements that compete with the data, and color choices that make categories hard to distinguish.

Captions matter. A strong scientific caption tells the reader what is shown, identifies groups or conditions, explains abbreviations, and gives enough context to interpret the figure without searching through several paragraphs.

A Historical Example: Florence Nightingale

Florence Nightingale used statistical graphics to communicate patterns of mortality during the Crimean War. Her polar-area diagrams are an important historical example of evidence being translated into a visual form for decision-makers.

When you study a historical graphic, ask two questions at once: What pattern does the graphic make visible? and What design choices influence how strongly that pattern appears? Good data communication requires both statistical reasoning and visual literacy.

Communicating Numbers and Uncertainty

Scientific results usually contain uncertainty. Measurements have limits, samples vary, models simplify reality, and estimates often come with ranges. Communicating uncertainty is part of accuracy, not a sign of failure.

When reporting a quantitative result, give enough context for the number to mean something. Depending on the study, useful context may include the sample size, comparison group, units, effect size, variability, or confidence interval. A p-value can contribute to an analysis, but it is not the probability that a hypothesis is true and should not replace discussion of effect size, design quality, and uncertainty.

Be careful with causal language. If two variables are associated, that does not by itself show that one caused the other. Strong causal claims require a design and analysis that justify them.

Posters and Oral Presentations

A scientific poster combines text, data, and visual hierarchy. Viewers often decide within seconds where to look, so the title, research question, main result, and conclusion should be easy to find. Use readable fonts, short text blocks, meaningful figures, and enough white space to separate sections.

The people in this photograph are using a poster as a starting point for conversation. A poster session is therefore both a visual genre and a spoken genre: you should be ready to give a brief overview, answer questions, and move to more detail when a listener asks.

This University of Idaho Library workshop demonstrates research-poster planning, layout, accessibility, graphics, and presentation choices. Use it as a design reference rather than as a fixed template.

Designing and Delivering a Scientific Talk

A strong scientific talk has a clear take-home message. Build the explanation around that message instead of trying to include every detail you know. Introduce the question, provide only the background needed to follow it, show evidence in a logical order, state what the evidence means, and end with the main conclusion and limitations.

Slides are visual support, not a script. Use large text, simplified figures, short labels, and one visual purpose per slide. Speak to the audience, pause after important points, define unfamiliar terms, and rehearse with a timer. During questions, listen fully, answer what was asked, and say when you do not know.

Susan McConnell’s Stanford lecture on designing effective scientific presentations is a useful model for thinking about audience, slide design, story structure, and delivery.

Peer Review and the Publication Process

Peer review is evaluation by people with relevant expertise. In scholarly publishing, editors may send a manuscript to reviewers who assess aspects such as the research question, methods, interpretation, originality, and clarity. Reviewers may recommend revision, rejection, or acceptance, depending on the journal and review system.

Peer review can improve a manuscript, but it is not a guarantee that a published claim is true. Reviewers can miss errors, disagree with one another, or work with incomplete information. Replication, reanalysis, critique, correction, and post-publication discussion remain important parts of science.

This short video from North Carolina State University Libraries explains the basic peer-review pathway from manuscript submission to publication.

Giving Useful Peer Feedback

Good feedback is specific, evidence-based, and actionable. Instead of saying “This is confusing,” identify the place where you became confused and explain why. Separate large issues from small edits. A large issue might be that the conclusion is stronger than the data allow. A small issue might be an undefined abbreviation.

When receiving feedback, first decide what problem the reader detected. You do not have to accept every suggested solution, but you should take the underlying communication problem seriously if several readers encounter it.

Sources, Citation, and Research Integrity

A scientific claim should be traceable to evidence. Citation allows readers to identify the source of an idea, dataset, method, quotation, or prior finding. Citation also helps distinguish your contribution from previous work.

Plagiarism includes presenting another person’s words, ideas, images, data, or structure as your own without appropriate acknowledgment. Paraphrasing still requires citation when the idea comes from a source. Quotation marks alone are not enough without a source, and citation alone is not enough if copied wording is presented as original prose.

Research integrity also includes accurate data handling, honest image processing, transparent reporting of relevant methods, appropriate authorship, and disclosure of conflicts or assistance when required. Never invent data, hide inconvenient observations without a justified rule, or alter a figure in a way that changes the scientific meaning.

Responsible Use of Generative AI

Generative AI can help brainstorm explanations, propose outlines, or suggest language revisions, but it can also produce false citations, inaccurate summaries, fabricated details, and overconfident claims. You remain responsible for every statement you submit.

If you use AI-assisted tools, verify factual claims against reliable sources, check every reference, protect confidential or personal information, and follow your teacher’s, institution’s, competition’s, or journal’s rules about disclosure and permitted use. AI should not replace your own analysis of data or your responsibility for authorship.

Open Science, Access, and Preprints

Scientific communication increasingly happens through digital channels. Open access publishing makes research outputs available without a paywall to the reader. Repositories may also host accepted manuscripts, datasets, code, posters, or preprints.

A preprint is a manuscript shared publicly before formal journal publication and may not have completed peer review. When communicating a preprint, label its status clearly and avoid presenting preliminary findings as if they had already passed journal review.

Open access improves availability, but availability alone does not establish quality. Evaluate the methods, evidence, transparency, publication status, and source rather than treating a familiar logo or website as proof.

Communicating Science to Non-Specialists

Public-facing science communication should preserve evidence while changing the explanation. Start with the audience’s question, not with the specialist vocabulary. Define necessary terms, use examples and analogies carefully, show why the issue matters, and make the uncertainty visible.

An analogy is useful only if you also explain where it stops working. A story can create attention and structure, but it should not replace evidence. Images can help people understand scale, process, and comparison, but they should not imply certainty that the data do not support.

Research on science communication shows that simply giving people more facts is not always enough to change understanding, attitudes, or decisions. People interpret information through prior knowledge, values, experiences, goals, and judgments about trust. Good communication therefore includes listening, dialogue, and respect for the audience’s questions.

Correcting Misinformation Without Creating New Confusion

When you correct a false scientific claim, lead with the accurate information, explain the relevant evidence, identify the error clearly, and provide a coherent alternative explanation. Avoid repeating a dramatic false claim more often than necessary.

Check whether the disagreement concerns a factual claim, a value judgment, a policy preference, or a mixture of these. Science can provide evidence about likely outcomes, but scientific evidence alone cannot decide every ethical or political question.

Accessibility and Inclusive Communication

Accessible scientific communication helps more people use the information. Use readable type, strong contrast, descriptive headings, captions, transcripts or subtitles for video, and alternative text where the platform supports it. Do not use color as the only way to distinguish categories in a graph.

Inclusive communication also means checking examples, assumptions, and language for unnecessary barriers. Explain specialist terms rather than using jargon as a gatekeeping device. When research concerns people or communities, communicate with respect for context, consent, privacy, and the limits of generalization.

A Practical Workflow

You can use the following workflow for almost any scientific communication task.

Communication goal: State in one sentence what you want the audience to understand, evaluate, or do.
Audience analysis: Identify prior knowledge, likely questions, and the level of detail the audience needs.
Evidence selection: Choose the most relevant data, sources, methods, and limitations.
Message design: Write the central claim in proportion to the evidence and decide what supporting points are essential.
Medium choice: Select the format that fits the goal, such as a report, graph, poster, talk, video, or briefing.
Revision: Test the draft with another reader or listener, then improve clarity, accuracy, accessibility, and structure.

Interactive Tasks

Quiz: Test Your Knowledge

What should you identify first when planning a scientific message? (The communication goal and intended audience) (!The most decorative graph style) (!The longest available source) (!The number of slides you can create)

What is the main purpose of an abstract? (To give a concise independent summary of the study) (!To list every source used by the authors) (!To provide all raw data from the study) (!To replace the methods section completely)

Which sequence is the common IMRaD structure? (Introduction Methods Results Discussion) (!Methods Discussion Introduction Results) (!Results Introduction Discussion Methods) (!Discussion Results Methods Introduction)

Which statement is most clearly a result rather than an interpretation? (The treated plants were eighteen percent taller after four weeks) (!The treatment probably improved nutrient uptake) (!The result may be explained by stronger roots) (!The finding could influence future farming methods)

What makes a scientific graph easier to interpret accurately? (Clear axes units labels and an explained scale) (!Three dimensional effects on every data series) (!A cropped scale chosen to maximize visual drama) (!Removing uncertainty information to simplify the figure)

Why is scientific uncertainty worth communicating? (It helps the audience judge what the evidence can and cannot support) (!It proves that the research process has failed) (!It allows communicators to avoid giving any conclusion) (!It means every scientific explanation is equally likely)

What is peer review? (Evaluation of work by people with relevant expertise) (!Automatic proof that a published claim is correct) (!A popularity vote among general readers) (!A process that removes the need for later correction)

Which practice best protects research integrity? (Citing sources and reporting evidence without misleading alteration) (!Inventing a missing reference when a citation is unavailable) (!Changing a graph to make a weak pattern look stronger) (!Presenting an idea from another author as your own)

What is a preprint? (A manuscript shared before formal journal publication and possibly before peer review) (!A paper that has been permanently rejected by every journal) (!A simplified article written only for children) (!A database containing only peer reviewed meta analyses)

Why may giving an audience more facts alone be insufficient? (People also interpret information through prior knowledge values goals and trust) (!Scientific evidence has no role in public decisions) (!Audiences can understand only visual information) (!Public communication should avoid uncertainty and context)

Memory Game

Abstract	Concise stand-alone summary of a study
Audience	Intended readers, viewers, or listeners
Hedging	Language that calibrates a claim to the strength of evidence
Caption	Text that helps a reader interpret a figure or table
Citation	Acknowledgment that makes a source traceable
Preprint	Manuscript shared before formal journal publication
Uncertainty	Limits on what can be known or estimated from available evidence

Drag and Drop

Match the correct terms.	Topic
Introduction	Why the research question matters
Methods	How the study was carried out
Results	What the data show
Discussion	What the findings may mean
Abstract	Condensed overview of the whole study

...

Crossword Puzzle

Abstract	What short section summarizes the purpose, approach, main result, and conclusion?
Audience	Who should shape the level of detail and vocabulary in a message?
Citation	What makes the source of an idea or finding traceable?
Methods	Which article section explains how a study was carried out?
Poster	What conference format combines visual evidence with short spoken explanation?
Hedging	What term describes language that calibrates the strength of a scientific claim?

LearningApps

Cloze Text

Scientific communication begins by identifying the intended

. A research article often organizes empirical work with the

structure. A concise summary of a study is called an

. The section that explains how the study was carried out is the

. The section that reports observations and measurements is the

. A graph should label its axes and include the correct

. Language such as “may” or “suggests” can express appropriate

. Expert evaluation of a manuscript is called

. A source should be made traceable through a

. Scientific uncertainty should be communicated because evidence has

.

Open-Ended Tasks

Easy

Jargon Translator: Choose five technical terms from a science topic you are studying. Write accurate plain-English explanations and test them on a classmate who has not studied the topic.
Graph Caption: Find or create a simple scientific graph and write a caption that explains the variables, units, comparison, and main pattern without overstating the result.
Abstract Detective: Select a freely accessible research abstract. Mark the purpose, approach, main result, and conclusion, then rewrite the abstract in no more than 120 words for a Grade 11 audience.
One-Minute Explanation: Record a one-minute audio or video explanation of a scientific concept using one carefully chosen analogy, then add one sentence explaining where the analogy stops working.

Standard

Research Poster: Create a one-page poster about a class investigation or published study. Use a clear question, concise methods, one central visual, a main result, a limitation, and a short reference section.
Science Interview: Interview a teacher, laboratory technician, researcher, engineer, health professional, or science communicator about how they explain evidence to different audiences. Summarize three communication strategies you learned.
Data Story Video: Produce a two- to three-minute video that explains a small dataset. Show the source, visualize at least one comparison, describe uncertainty, and end with a claim that matches the evidence.
Peer Feedback Workshop: Exchange short scientific texts with a partner. Give feedback on one major issue and two smaller issues, revise your own text, and write a note explaining which feedback changed your draft.

Advanced

Mini Research Report: Conduct a safe classroom investigation or analyze an openly available dataset and write a short IMRaD report with an abstract, figure, caption, citations, limitations, and a proportionate conclusion.
Audience Experiment: Create two accurate versions of the same scientific explanation for different audiences. Collect voluntary, non-sensitive feedback on clarity and recall, compare the responses, and evaluate which design choices helped.
Risk Communication Brief: Choose a science-related risk topic and write a one-page briefing that distinguishes hazard from risk, states what is known and uncertain, uses a trustworthy source, and avoids alarmist language.
Public Engagement Project: Visit a science museum, university open day, public lecture, science center, environmental field site, or comparable learning venue. Document how experts invite questions, use visuals, and adapt to visitors, then design your own improved engagement activity.

Learning Assessment

Evidence-to-claim analysis: Given a short study description and dataset, write the strongest conclusion the evidence supports and identify one tempting conclusion that would overreach.
Audience adaptation assessment: Explain the same scientific result once for specialists and once for a general school audience, then justify at least three changes in vocabulary, detail, or structure.
Visual integrity review: Critique a graph for scale, labels, units, uncertainty, accessibility, and possible visual distortion, then redesign it to communicate the same data more honestly.
Peer review response: Read a draft paragraph with reviewer comments, decide which comments reveal real communication problems, revise the paragraph, and explain your choices.
Source and citation audit: Inspect a short scientific text with mixed source quality, select the claims that need support, identify the strongest available sources, and add appropriate citations.
Transfer challenge: Convert a research abstract into a poster headline, a 90-second spoken explanation, and a public-facing summary while preserving the same core evidence and uncertainty.

Evidence of Learning

Knowledge: You can explain the purposes of abstracts, IMRaD sections, figures, citations, peer review, open access, preprints, and uncertainty.
Skills: You can adapt language to an audience, distinguish observation from interpretation, evaluate visual evidence, cite sources, give peer feedback, and communicate limitations.
Products: You can produce a concise scientific text, a data display with caption, a research poster or slide sequence, and a short spoken or video explanation.
Transfer: You can move the same evidence between specialist and public formats without changing the underlying meaning or overstating certainty.
Judgment: You can recognize misleading claims, weak source practices, exaggerated visuals, unsupported causation, and communication choices that reduce accessibility.

OERs on the Topic

You can also explore Science communication, Scientific literature, IMRAD, Peer review, Open access, and Data visualization as connected learning areas.

For deeper study, the freely accessible Communicating Science Effectively: A Research Agenda reviews evidence about goals, audiences, uncertainty, trust, and public communication. The open-access PLOS article Ten Simple Rules for Making Good Oral Presentations offers practical guidance for scientific talks. The iBiology resource on communicating science to the public provides a video, transcript, and examples of engagement formats.

Linked Learning Areas

Scientific Communication

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