Advocates are simultaneously trying to rescue datasets and data programs while also envisioning something greater.

This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Union Budget recognizes gig workers, but PLFS fails to capture diverse gig work, hindering policy inclusivity.

This article discusses how racial categories, rooted in social history, are used in records and society. It argues race isn’t ...

Overcoming test data hurdles with realistic synthetic dataQuality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation. By Bryn ...

“This is an example of statistical erasure where governments make a decision to ignore a problem, to not collect data on the problem, and that they think that relieves some of the responsibility to ...

Top AI researchers like Fei-Fei Li and Yann LeCun are developing a "world" model that doesn't rely solely on language.

DOGE's murky push to amass data at federal agencies could hurt the U.S. government's ability to produce reliable census results, economic indicators and other statistics in the future, experts warn.

DOGE's murky push to amass data at federal agencies could hurt the U.S. government's ability to produce reliable census results, economic indicators and other statistics in the future, experts warn.

Self-supervised learning (SSL) is a data-driven learning approach that utilizes the innate structure of the data to guide the learning process. In contrast to supervised learning, which depends on ...