How do living things use meaningful information to survive?
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 ‘cautionary tale’ about location tracking
A new study out of the University of Rochester shows that data collected from your acquaintances and even strangers can predict your location.
Can social networks help us be more creative?
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.
Faculty recognized as AS&E data science fellows
Physicist Gourab Ghoshal and electrical and computer engineer Gonzalo Mateos received alumni-supported fellowships to use data science in exploring their fields.
Mathematical model will monitor spread of COVID-19
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.
Can the laws of physics untangle traffic jams, stock markets, and other complex systems?
Gourab Ghoshal is using the fundamental laws of physics to untangle the complex systems behind human behavior, urban planning, and social networks.