Eight Northeastern undergraduates took on a challenge posed by professors Matthias Felleisen and David Van Horn: Three years later they’re holding the some 300-page product of their efforts.
The rapid growth of mobile devices and big data is changing how interactive games are developed, sold, and played. Now, a new book from Northeastern faculty lays the foundation for one of the world’s most rapidly innovating fields.
In new research, network scientist Alessandro Vespignani and his team show through computational modeling that a hypothetical attack involving smallpox may spread to two or four countries before the first cases are ever diagnosed.
The sprawling cast of characters in the Irish novel Finnegans Wake compares to the meme culture that permeates the Internet today, according to research by English major Tom Murphy.
The real world is an enormously complex network in which everything is interconnected. Assistant professor of computer and information science Yizhou Sun develops data-mining algorithms that take advantage of that complexity.
In 2009, Northeastern University network scientist Alessandro Vespignani developed a computational model that predicted the spread of the H1N1 virus. Three years later, new studies show that these predictions were highly accurate.
Northeastern on Wednesday hosted “THATCamp,” a so-called “unconference” that offered attendees a unique way to navigate the novel field of digital humanities.
Alessandro Vespignani, the Sternberg Family Distinguished University Professor of physics, computer science and health sciences, believes that complex systems science has the potential to solve real-world challenges.
Two new faculty members, Ryan Cordell and David Smith, are among a group at Northeastern investigating the emerging field of digital humanities.
New interdisciplinary assistant professor Raymond Fu explains the science behind facial recognition, one of the new technologies in the FBI’s Next Generation Identification program.
New assistant professor Gillian Smith is bringing together her interests in crafting and game design to change the way we think about computer science.
New research from psychology professor David DeSteno suggests that we can pick out untrustworthy people based on their level of fidgetiness. The results were confirmed using a humanoid robot.