Opinion
The LancetOpinion

Synthetic data, synthetic trust: navigating data challenges in the digital revolution

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

Global guidelines streamline environmental microbiome research

Microbiomes play a vital role in everything from human health to soil fertility and climate regulation. But studying these ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Columbia University School of Professional Studies

The New Rules of Winning: What the 2025 Election Taught Us About Data, Messaging, and Populist Momentum

At a recent Columbia SPS Political Analytics event, top strategists unpacked the forces reshaping voter behavior—and the ...
eLife

Determining fragility and robustness to missing data in binary outcome meta-analyses, illustrated with conflicting associations between vitamin D and cancer mortality

This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...