Science Communication vs Scientific Communication

Most people confuse these. The distinction matters and bridging both is where value lives.

Understanding the Difference

Most people use "science communication" and "scientific communication" interchangeably. They shouldn't.

Science communication is public engagement — podcasts, museum exhibits, popular writing. The skills are narrative construction, media production, public trust building, and sometimes viral optimization.

Scientific communication is professional translation — training, documentation, stakeholder briefings. The skills are regulatory compliance, technical writing, cross-functional alignment, and business outcome translation.

These domains share fundamental skills, but each domain also requires unique expertise.

The Skills Framework

The strategic advantage isn't mastering one domain — it's operating fluently across both.

How I Approach Communication Strategy

  • Before I create any training, media, or documentation, I map:

    • Who needs this information?

    • What mental models are they bringing?

    • What psychosocial dynamic are in play?

    • Which format matches their context?

    Example: When I create training for technical experts, I’m not just teaching content. I’m managing their identity as “the expert” while at the same time asking them to operate differently. That’s not just an information challenge, it’s a psychosocial one too.

  • Effective communication considers format. The medium shapes the message.

    I work across:

    • Long-form audio

    • Short-form video

    • Written content

    • Live experiences

    • Immersive media

    Each format has different cognitive affordances - that’s what the medium naturally makes it easy or hard for the brain to do.

    Audio lets you build intimacy, but try explaining a complex diagram through audio alone? You’re fighting the medium.

    Video shows you how something works in motion. But if you need to reference step 2 later, scrubbing through a video is cognitively expensive.

    The question I ask is “What does this information need in order to land with this audience?”

  • Science communication and learning design share foundational skills:

    • Backwards design - start with what the audience needs to do, not what you want to tell them

    • Cognitive load management - unnecessary complexity is the enemy!

    • Formative assessment - how do you know if it landed?

    • Iterative refinement - test, learn, adjust

Grounded in the Science of Learning

My approach to communication isn’t just intuition. It’s grounded in the science of teaching and learning.

I came to this work through a background in molecular biology and genetics. As a PhD student, I wasn’t just studying mechanisms of DNA replication - I was learning how to construct knowledge, test mental models, and communicate findings.

I completed a teaching postdoc, further shaping my approach to teaching and learning for undergraduates. I worked as an assistant professor, then moved on to directing a scientific training program for adult learners.

Those experiences shaped how I think about translating complexity.

Novice Understanding & Expertise are Structured Differently

Experts organize information around deep principles while novices organize around surface features. If you explain something the way an expert understands it, you’ve likely lost the novice.

Learning Goes Beyond Exposure; It Requires Retrieval

You don’t learn just by hearing information. You learn when you actively retrieve and use it. This is why I design exercises, opportunities to use info, into everything I create.

Cognitive Load is Real

Your working memory can hold ~4 chunks of information at once. If I’m asking you to learn new vocabulary AND new concepts AND new processes simultaneously, you’ll retain none of it.

This is why I carefully sequence information. I share one new thing at time. I build fluency first, then layer in the complexity.