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Designing the Future of Science: Beginning the Journey of ScieNFT

October 16, 2023·5 min read
Designing the Future of Science: Beginning the Journey of ScieNFT

What does scientific publishing look like when it's reimagined from first principles?

That's the question that pulled me into ScieNFT. Not the blockchain angle — that came later. The question that mattered first was simpler: why does publishing a scientific paper still feel like it was designed in 1990?

The friction is everywhere. The review process is opaque. Citation tracking is fragmented. Authorship disputes are common. Paywalls lock knowledge away from the people it's meant to serve.

We thought: what if ownership of a scientific finding was as clear as owning a token?

Starting with the Human Problem

Before we wrote a line of code, before we made a single design decision, we spent time with the people who'd actually use this thing.

Researchers. Reviewers. Librarians. Graduate students who'd spent years producing work that was, effectively, owned by journals they'd never had a relationship with.

What we found surprised us. The problem wasn't just technical. It was about trust.

Researchers didn't trust that attribution would persist. They didn't trust that their work would be findable in five years. They didn't trust that the new system wouldn't just recreate the power dynamics of the old one with different branding.

Designing for this meant designing for skepticism first, utility second.

The Interface as Argument

One of the most interesting design challenges was this: how do you make blockchain concepts legible to people who have no interest in blockchain?

The answer, we found, was to not make blockchain concepts legible at all. You make the outcomes legible. Permanent attribution. Provable ownership. Transparent review history.

The underlying technology becomes invisible. What's visible is the trust it enables.

This became a guiding principle: the interface is an argument. Every design decision either builds the case that this system is trustworthy, or it doesn't.

What We Learned

The hardest thing about designing for scientists is that they're trained to be skeptical of anything that claims to solve a complex problem simply.

And they're right to be.

The best thing we did was resist the urge to oversell. We built small. We showed our work. We let the product make the argument instead of the marketing.

Science moves slowly by design. A tool that wants to serve it needs to earn its place.

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