Science is accelerating. We’re publishing more papers and generating more data than ever before. But much of that knowledge—however valuable—goes unread, unexamined, and ultimately unused.

In this AI-narrated episode, we explore a growing tension at the heart of modern research: a system built to produce knowledge is now struggling to process it. Scientists are overwhelmed, attention is scarce, and crucial datasets remain invisible—not because they don’t matter, but because they’re not designed to be reused.

We ask the provocative question: Who are we really publishing for?

And we introduce FAIR²—a new, open specification for making scientific data and methods machine-actionable, not just human-readable. Paired with intelligent tools like Senscience’s AI data steward, FAIR² represents a foundational shift in how science is structured, shared, and ultimately amplified.

A new kind of collaborator is emerging—and it might change everything.

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