A new study published in Therapeutic Innovation & Regulatory Science provides crucial insights into the design and implementation of multi-national observational studies for post-marketing drug safety ...

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the behavior of atoms and molecules. Among other applications, CP2K plays an ...

Data science has moved from a niche technical discipline to a core function across industries. Organizations now rely on data-driven decision-making in areas ranging from finance and healthcare to ...

For the past three years, that concept has evolved into Crunch DAO, a decentralized "marketplace" for quantitative research.

In the icy reaches of the Svalbard archipelago, a quiet revolution in marine restoration is underway. Researchers are ...

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

A new Stanford-led analysis of corporate carbon disclosures finds that companies undercount emissions from their supply ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...