New research from Northeastern professor Alessandro Vespignani finds that the number of reported Zika cases in the U.S. may be just the tip of the iceberg due to widespread underreporting. The study also models the predicted spread of Zika across the Americas through 2017.
Sternberg Distinguished University Professor Alessandro Vespignani tells NPR that he doesn’t believe Zika poses a big enough risk to move the Olympic games out of Rio this summer.
Matt Simonson, 2016 National Defense Science and Engineering Graduate Fellow, hopes to “use math to save the world.”
Can a flow of information across Twitter signal when a momentous event is about to occur? Northeastern’s Alessandro Vespignani and an interdisciplinary group of scientists developed a method to find out. Their findings represent an initial step in constructing models to detect trouble before it’s too late.
Using statistical physics, network scientist Albert-László Barabási and his colleagues have developed the first-ever tool to identify whether systems—be they technological, ecological, or biological—are in danger of failing.
The Network Science Institute, home of the nation’s first doctoral program in network science, brings together an interdisciplinary team of renowned Northeastern scholars to plumb the structure and function of systems and develop intervention strategies to improve the health and security of people around the world.
California’s Department of Public Health announced last week that a child contracted the plague after visiting Yosemite National Park in July, the third reported case this year. With the plague’s recent return to the news, we took a look at some myths and truths about the centuries-old disease.
Northeastern physicists Albert-László Barabási and Gang Yan reveal a measuring device that could guide scientists in controlling real-world complex systems.
At the latest installment of the “Minds over Matters: NUterm Faculty Speaker Series,” Sternberg Family Distinguished University Professor Alessandro Vespignani described how his lab is able to predict the spread of a disease by tracking just one person.
Northeastern University network scientists have found a way to connect diseases based on their shared molecular interactions.