Abstract: The increasing power of computing platforms and the recent advances in data science techniques have fostered the development of data-driven computational models of engineering systems with ...

The intermeshing of algorithms and big data increasingly blurs distinctions between different forms of quantification. Quantification has recently come under intense scrutiny for perceived misuse of ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

A sample of 4,615 adult patients were randomly selected from the Multiparameter Intelligent Monitoring in Critical Care (MIMIC-III) database. The structured data were obtained by queries of the ...

The accelerated impact of data and analytics on organizational success means C-suite leaders must gain greater quantitative and data analysis knowledge. No longer can they merely delegate the ...

When Meghann Lucy, a graduate affiliate of the Center for Innovation in Social Science, or CISS, collected data on cases of hoarding, she wanted to identify the patterns of where these cases were most ...

Refinitiv, an LSEG business, has announced an agreement that allows for its comprehensive suite of quantitative data to now be made available on Snowflake’s Financial Services Data Cloud. Today’s ...

As the self-quantification movement matures, users are expanding beyond physical tracking to assess how they think, decide, ...

Given the hidden, criminal nature of contemporary slavery, empirically estimating the proportion of the population enslaved at the national and global level is a challenge. At the same time, little is ...