Alex Vespignani is the Director of the Network Science Institute and Sternberg Family Distinguished University Professor with interdisciplinary appointments in the College of Computer and Information Science, College of Science and the Bouvé College of Health Sciences. His research interests include complex systems and networks, and the data-driven computational modeling of epidemics.
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177 Huntington Ave, 10th floor
Boston, MA 02115
Boston, MA 02115
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GithubRecent publications
Nature Communications
January 12, 2021
PLOS Computational Biology
December 28, 2020
medRxiv
December 17, 2020
Featured media
A Covid-19 peak? Variants muddy forecasts for coming monthsA Covid-19 peak? Variants muddy forecasts for coming months
NBC News
January 22, 2021
COVID-19 Status? Doctors: "We Are in the Red Zone. We Need to Cross the Line.” But ...COVID-19 Status? Doctors: "We Are in the Red Zone. We Need to Cross the Line.” But ...
Sports Illustrated
January 18, 2021
This scientist sees a way to spot the next pandemicThis scientist sees a way to spot the next pandemic
Experience Magazine
December 3, 2020
The Vulnerable Can Wait. Vaccinate the Super-Spreaders FirstThe Vulnerable Can Wait. Vaccinate the Super-Spreaders First
WIRED
November 10, 2020
They're Modeling How the Pandemic Will Play Out - And What We Think About ItThey're Modeling How the Pandemic Will Play Out - And What We Think About It
News@Northeastern
October 15, 2020
Flu Season is Coming And COVID-19 Is Still Here. Can Disease Forecasts Tell Them Apart?Flu Season is Coming And COVID-19 Is Still Here. Can Disease Forecasts Tell Them Apart?
News@Northeastern
October 13, 2020
The Wall Street Journal
October 8, 2020
Vindicated Covid-19 models warn pandemic is far from overVindicated Covid-19 models warn pandemic is far from over
NBC News
September 24, 2020
Alessandro Vespignani receives the 2020 Euler Award of the NetSci Society Alessandro Vespignani receives the 2020 Euler Award of the NetSci Society
Network Science Society
September 23, 2020
NBC News
September 19, 2020
If rich countries monopolize COVID-19 vaccines, it could cause twice as many deaths as distributing them equallyIf rich countries monopolize COVID-19 vaccines, it could cause twice as many deaths as distributing them equally
News@Northeastern
September 14, 2020
MOBS Lab has partnered with the Gates Foundation to investigate global vaccine distribution strategiesMOBS Lab has partnered with the Gates Foundation to investigate global vaccine distribution strategies
NetSI News
September 14, 2020
Dallas Morning News features Alessandro Vespignani's team research on Covid-19 Dallas Morning News features Alessandro Vespignani's team research on Covid-19
The Dallas Morning News
September 14, 2020
New York Times
July 5, 2020
Associated Projects
develop new algorithms and platforms to overcome limitations and biases of big data
how groups coordinate, seek knowledge, optimize and reach success
modeling spread of disease and risky behaviors through populations
