In this episode of DataGrub: Where Data Feeds Discovery, we explore “The Great Misalignment,” diving into the widening gap between AI’s transformative potential in scientific research and the broken data practices that are holding it back. While AI has the power to accelerate groundbreaking discoveries, its full potential remains untapped due to a fundamental issue: the data crisis.

We’ll uncover how data neglect—the vast quantities of scientific data trapped in inaccessible silos or incompatible formats—and misaligned incentives in the scientific community have created a system where data sharing and reusability are undervalued. AI, poised to drive innovation across healthcare, climate science, and beyond, is stifled by poor data management and outdated practices.

But it’s not all doom and gloom. We’ll highlight how AI can accelerate progress when data is open, accessible, and AI-ready. By embracing open science principles and realigning incentives to encourage better data practices, the scientific community can unlock AI’s true potential to drive faster, more impactful discoveries.

Join us as we discuss how key stakeholders—tech developers, funders, academic institutions, and policymakers—can come together to fix “The Great Misalignment.” Through collaborative action, we can ensure that AI’s transformative power isn’t wasted, but instead fuels the next wave of scientific breakthroughs.

Tune in to The Great Misalignment to discover how we can bridge the gap between AI’s promise and science’s outdated data practices for a faster, more innovative future.

See the accompanying blog post at: https://medium.com/@sean_hill