The Dynamic Online Networks Lab is an interdisciplinary group of physicists, political scientists, computer scientists, and data scientists. We are developing the new science of online-offline behavior by mapping and quantifying online behavior (as well as its coupling to offline events) across scales, platforms, and topics. We also examine how AI actually works using transparent, minimal modeling akin to how physics describes the physical world. We quantify the risks of AI in online-offline behavior. Click here to read our Literature Review.
The importance of our work to the scientific community has been recognized by the leadership of both the National Academy of Sciences and the American Physical Society.
Our work is mostly funded by the U.S. Department of Defense AFOSR (Minerva and Computational Mathematics) and the John Templeton Foundation (in collaboration with Professor Sergey Gavrilets at the University of Tennessee DySoC), with some additional funding from the National Science Foundation. We have been published in journals such as Nature, and have been covered by media outlets such as The New York Times, Newsweek, and NPR.
Visualizations of the Anti-Vaccine Network
