Szekely’s team wins Best Applied Paper award at IWSV.

ISIer Kristina Lerman’s research featured in WaPo’s “Wonkblog.”

Ferrara’s diverse research interests are at the nexus of network science, machine learning, and computational social science

Hassner’s research involves applications of machine learning techniques to pattern recognition and computer vision.

Kristina Lerman explores the friendship paradox via social media data

Kristina Lerman explains why lackluster content might get more recommendations than good on social media

Webpage position reigns in peer recommendation of online content on sites like Reddit

The Smithsonian American Art Museum (SAAM) has partnered with Craig Knoblock and Pedro Szekely to create applications and educational tools that help engage the younger generation and bolster interest in the arts

In the past, genetics researchers had to find hundreds of people for every study they started. Now, the USC Information Sciences Institute has reduced that search to a few keystrokes.

Researchers find that, the more friends a user follows on Twitter, the less information they see and absorb