Gourab Ghoshal

A new study points to algorithm design as a potential way to reduce echo chambers—and polarization—online.

A team from the Department of Physics and Astronomy has applied the theory of semantic information to a realistic model capturing attributes of living systems—and found the critical point where information matters for survival.

A new study out of the University of Rochester shows that data collected from your acquaintances and even strangers can predict your location.

Our interactions on social media could encourage new ways of thinking and different perspectives, if creativity was considered part of the network’s algorithms, say Rochester researchers.

Physicist Gourab Ghoshal and electrical and computer engineer Gonzalo Mateos received alumni-supported fellowships to use data science in exploring their fields.

Computational scientists win a National Science Foundation grant to develop a tool to provide accurate, timely information to local-level policymakers monitoring the spread of COVID-19.

Gourab Ghoshal is using the fundamental laws of physics to untangle the complex systems behind human behavior, urban planning, and social networks.