New technologies are permitting larger scale and more quantitative studies of signalling networks. The large data sets that are obtained from these studies can be analysed by data-driven modelling ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

Francesca Tomasi, Modelling in the Digital Humanities, Historical Social Research / Historische Sozialforschung. Supplement, No. 31, Models and Modelling between Digital & Humanities – A ...

Andrea Beccarini, Bernd Kempa, MODELLING TIME-VARYING HETEROGENEITY IN PANEL DATA AS REGIME-SWITCHING, Annals of Economics and Statistics, No. 151 (September 2023), pp. 81-120 ...

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

Beyond collecting data such as KPIs and clicks, brands should build a media data model to build better data insights. Here are the benefits of doing so.

While not a silver bullet solution to attribution, a data-driven model provides better insights for advertisers. Learn more here.