Disinformation, algorithms, big data, care work, climate change, cultural knowledge: they can all be invisible. In her New York Times bestseller, Weapons of Math Destruction (2016), subtitled “how big ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

We live in the era of big data. The huge volume of information we generate daily has major applications in various fields of science and technology, economy and management. For example, more and more ...

The history of the social sciences has included a succession of advances in the ability to make observations and carefully test hypotheses. The compilation of massive data sets, for example, and the ...

This is a graduate-level course on theoretical aspects of Big Data. We will examine algorithms and data structures for dealing with massive data sets. We will discuss such topics as streaming ...

Single-cell RNA sequencing (scRNA-seq) is a method for measuring gene expression in individual cells, allowing observation of ...

In today’s world of big data, learning from the vast amount of information collected every day is critical for the firms that rely on it for manufacturing, marketing, decision-making and more. Often, ...

Data is at the heart of the modern enterprise, helping organizations to better understand their customers, make better business decisions, improve business processes, track inventory, monitor ...