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The team shared a practical framework for building research pipelines that remain auditable, reproducible, and easy to adapt.

A new collaboration will study how experts interpret, question, and trust AI-supported recommendations in research settings.

A new paper proposes a clearer reporting structure for applied machine learning models used in scientific and clinical research.

The workshop focused on how researchers can use AI tools to clarify complex findings without oversimplifying uncertainty.

A new internal prototype helps transform long-form research updates into layered summaries with expandable detail.

The lab is opening a research theme on interfaces that help people inspect evidence, compare claims, and understand uncertainty.